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<h1>Printable View of:<b>Lectures</b></h1>
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<h2 class="form">File: Lecture 7 Coastal Migration and Aquatic Resources</h2>
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<p class="style18"> The Evolution of the Human Diet</p>
<p class="style19">Lecture 7 </p>
<p class="style19">Coastal Migration and Aquatic Resources </p>
<p class="style23">Anthro 4962/5962 Instructor Helen Alvarez</p>
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<td align="center"><img src="Fall 2006/Lectures/Lec7_Coastal folder/Lec7_Coastal/Rajegwesi.jpg" width="747" height="503" border="0"></td>
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<p><strong>The mosaic habitats shown in this  photograph of Rajegwesi in </p>
<p>Meru Betiri National Park on the south coast of Java illustrate the paleoecology hypothesized for <em>H. erectus </em>in Java by O. Frank Huffman and his colleagues. The photo is from </p>
<p>from <a href="doWindowOpen('http://www.eastjava.com','new_frame','width=600,height=420,menubar=1,toolbar=1,scrollbars=1,status=1,location=1,resizable=1',0)">www.eastjava.com</a> </strong></p>
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<p align="left" class="style20">Populations of H. erectus were the first human emigrants from Africa. Traveling a route that must have been much the same as that hypothesized for moderns, Lecture 6, they reached the islands of Indonesia (review the map in lecture 5) where fossil crania have been found at Trinil, Ngandong, Sangiran, and Perning near the city of Mojokerto. A group of investigators led by O. Frank Huffman and Yahdi Zaim have just undertaken a major multi-disciplinary project to properly describe the Mojokerto site where the partial skull of a juvenile was found.  In the latest publication of this project the authors describe a paleolandscape similar to a modern landscape from Mojokerto pictured above.</p>
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<p align="left" class="style20"> &ldquo;The good condition of the skull and the large size of the ancient Mojokerto Delta favor the conclusion that the hominin died in the deltaic environment in which it was deposited. The Mojokerto child therefore provides evidence for a seacoast <em>Homo erectus </em>population in Southeast Asia, and raises interest in the role that maritime adaptation might have played in the dispersal and paleoecology of early hominins (Huffman et al. 2006 449).&rdquo; </p>
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<p align="left" class="style20">The preliminary analysis of the fauna and flora in the beds at the site indicate an environment very much similar to that pictured above where mangrove vegetation, grassland and montane forest provided a variety of resources including small and large bovids, Asian elephants, deer, and turtles.</p>
<p align="left" class="style20"><img src="Fall 2006/Lectures/Lec7_Coastal folder/Lec7_Coastal/Batengs.jpg" width="450" height="325" border="0" align="right"> </p>
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<p><strong>Bantengs  (wild oxen) would have come to gaze on the grassy plains between the water and the montane forest inhabited by large cats, monkeys, and pigs.  The oxen shared their grazing ground with muntjaks, antelope, rhinos and hippos, some of which foraged on smaller shrubs. Preliminary analysis of fossil teeth from the site indicate that the grasses on these grazing grounds were primarily C4 tropical grasses. The analysis of phytoliths in the sediments reveal two types of grasses, open-land taxa from the subfamilies Panicoidae and Arundinoidae and the temperate climate subfamily Pooideae which probably drifted in from montane habitats. Notice from the opening photograph in this lecture the habitat diversity within a short distance from shore line to ridge line. Early humans might have varied their foraging strategies with the seasons depending upon which resources were most abundant in each habitat. Notice also that the presence of large herbivores near the shore doesn&#8217;t rule out big game hunting in habitats characterized by aquatic resources that women and children could collect.</strong></p>
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<p align="left"><strong><img src="Fall 2006/Lectures/Lec7_Coastal folder/Lec7_Coastal/NypaPalm.jpg" width="472" height="324" align="left">As rivers flowed off the highlands they formed deltas characterized by mangrove swamps  with several species of trees including  <em>Nypa fruticans</em> palms and the sugar palm <em>Arenga,</em> with flowers that produce a sugary juice, and shrubs of <em>Passiflora </em>with edible passion fruit, and edible climbing ferns, <em>Stenochlaena palustris</em>.  The trunks of the <em>Nypa </em>are submerged so the fruit, which is edible when it is immature, would have been accessible to terrestrial hominids. The delta facies contain shells of edible mollusks including oyster shells but at low density and scattered distribution. Crocodile and turtle fossils have been reported from the same sediments at other places in the Perning district. To date only one fish fossil has been identified. The photos of bantengs and nypa palm were taken from a web site of photographs of Ujung Kulon National Park but unfortunately the web site is no long available. </strong></p>
<p><strong>At other locations in Java where crania of <em>H. erectus</em> have been found, a succession of dry and wet climatic regimes can be documented in the fossil pollen  record. The stratigraphy of the Sangiran dome, near where Sangiran 17 was found, documents a record from 2.6 M. A to 0.2 M. A. (Semah et al. 2003 ). The sediments at the Plio-Pleistocene boundary indicate the retreat of the seas and emergent land bridges between mainland Southeast Asia and the Indonesian islands. At all times, the habitat of East Java was characterized by high diversity with the hominid fossils dating to 800,000 years associated with pollen documenting a drier climate but tropical rain forest taxa still present. &#8220;In the area outside Sangiran, an Indonesian-French team has worked in the Southern Mountains of Java documenting a long sequence of occupation and adaptation to wet tropical environments from the late middle Pleistocene to the Holocene (Semah et al. 2003 p. 161).&#8221;</strong></p>
<p><strong>The second wave of human emigrants from Africa, <em>H. sapiens, </em>surely passed along these shores  as they reached southern Australia by at least 40,000 years ago.</strong><strong> The use of coastal, marine, and estuary resources by sapiens in Southeast Asia has been little considered as most of the focus in Asian archaeology has been on <em>H. erectus </em>in China and later populations transitioning from hunting-gathering strategies to farming. Erlandson (2001) attributes this neglect of coastal and aquatic adaptations to two factors, the widespread perception that hominids did not adapt to aquatic habitats before around 15,000 years ago and the obsessive attention to the idea that male-dominated big game hunting explained the origin of tool use, the formation of the nuclear family, and in its most recent incarnation the evolution of large brains. Erlandson labels one set of ideas about aquatic resources the &#8220;Gates of Hell&#8221; model as theorists proposed that humans only began to use lower quality aquatic resources when forced into marginal habitats by declining returns from hunting and/or by density dependent population growth, that is when they were forced from more desirable habitats. In the next section we are going to ask if foraging returns derived from one habitat can be used to guide inferences about returns in another time and place. This issue is especially relevant to the claims that evidence for the use of aquatic resources is evidence for habitat stress and decline of higher ranked resources.</strong></p>
<p><strong>Last resort scenarios ignore the evidence for the nutritional value of aquatic resources, the cultural complexity of societies subsisting on those resources, high human population densities in some of the most widely exploited riverine and coastal habitats, and the emerging archaeological data suggesting early adoption of aquatic resources.  Instead proponents, of the last resort hypothesis, cite the small size of many of the marine resources such as mollusks, crabs, sea urchins, barnacles, and shrimp while ignoring the giant clams available on the reefs of the southern oceans, the abundance of individuals in extensive mollusk beds that characterize  rocky coastlines north and south, the large number of stranded fish that can be acquired in drying pools, and nesting sea turtles as a source of eggs and meat. </strong></p>
<p><strong>Since many of the aquatic resources are sessile and predictable in time and space little search and no pursuit is involved in their harvest and interactions with other predators are rare.   Further  shell fish gathering requires no prior tool production, maintenance or preparation.  Shellfish in particular are characterized by low variance, high density, and ease of collection, the very  qualities that meet the daily nutritional requirements  of growing children who can gather many of these resources for themselves. Erlandson cites a study by Jones and Richman (1995) showing that &#8220;mussel beds produce one of the highest rates of biomass production on earth (Erlandson 2001 p 294).&#8221;  The supposed low quality of marine resources is derived from an estimate by Bailey (1978) &#8220;that 156,800 cockles were required to provide the caloric yield of one red deer (Erlandson 2001 p. 294).&#8221;  Erlandson questions the accuracy of these estimates and later notes the analysis by Lindstrom (1996) of returns from the Truckee River fishery that are higher than return rates calculated by Simms (1987) for terrestrial Great Basin habitats.    Shell fish are low calorie foods so would rank low in foraging models based on net energetic return but they have high <a href="http://www.eatmussels.com/nutrition.html" target="_blank">nutritional value</a> as sources of protein, calcium, and omega fatty acids. Ordinarily I would not post information from commercial sources but the chart comes from a USDA handbook and is a useful comparison of beef and shellfish.   Later in the semester we will review arguments over the value of marine resources in the diet when we consider the research from the Okinawan centenarian study.</strong></p>
<p><strong>When you read the assigned pages in Erlandson pay attention to arguments over aquatic resources, the ambiguity of the archaeological record, the theoretical prejudices of the investigators, the nature of the resource in question, and the problem of changes in sea level with high interglacial levels destroying whatever archaeological evidence there might have been from periods of lower seas. Remember from Walter et al. (2000), Lecture 6, that the Pleistocene reef terrace at Eritrea was preserved by tectonic activity that uplifted a portion of the former shallow water reef. Notice, from Table 1 page 306 Erlandson (2001), that the sites with evidence of use of aquatic strategies span the time from 2.3M to 16.5K, a considerable time frame for the occupation of &#8220;marginal&#8221; habitats. Instead of regarding these habitats and strategies as marginal, new evidence and new hypotheses call for serious consideration of aquatic resources as central to the evolution of human dietary strategies. </strong><strong>Often the most obvious fact of human subsistence is unmentioned because it is so taken for granted. Erlandson calls our attention to the fact that freshwater for drinking is the &#8220;single most important aquatic resource for humans (Erlandson 2001 p. 293).&#8221; </strong></p>
<p><strong>Even as our earliest ancestors exploited the resources of the woodlands and grasslands, they must have stayed close to sources of water. The important archaeological sites of Africa are all in riverine or lacustrine environments. It is hard to imagine wild foragers ignoring the resources in and and around water sources especially when those resources could be captured and processed with very simple tools. Where simple tools were not adequate to the job, early sapiens were capable of making more sophisticated tools as evidenced by the hafted bone point technology from Katanda.</strong></p>
<p><strong>Although I have emphasized coastal strategies in this lecture we know that early anatomically modern humans did move into other ecological niches as shown by the occupation of Niah Cave in Borneo.  The Deep Skull, tentatively dated to the time period between 43,000 &#8211; 40,000 B.P., has been found in  late Pleistocene sediments of the cave. Niah cave is one of a series of caverns in sheer-sided limestone walls that rise nearly 400 m above the lowland rain <img src="Fall 2006/Lectures/Lec7_Coastal folder/Lec7_Coastal/Niah_West_mouth.png" width="409" height="266" align="right">forest. The present climate in the vicinity of the cave is tropical super wet with mean annual rainfall greater than 3000 mm and rare or very short seasonal dry periods. The Pleistocene climate may have been more seasonal but changes in rainfall and temperature regimes at this site, through time, have not been resolved. At the time of Pleistocene occupation, the cave may have been about 30 km from the sea. Floral and faunal elements recovered from the late Pleistocene levels suggest that &#8220;humans were foraging in a mosaic of closed forest, scrub, grassland, swamp, and freshwater lakes and rivers (Crangrook 2000:83, cited in Barton 2005:57).&#8221; Barton, along with others interested in drawing as much information as possible from the archaeological record, has been involved in the development of a new line of evidence from archaeological assemblages, the identification of starch grains through the comparison of grains found in sediments and on tools with grains from modern starches.</strong></p>
<p><strong> Though the evidence from Niah is scanty, starch grains from palm pith and deep-rooted species of yams have been identified from the site. At other sites in Melanesia, starch grains of  elephant yams, taro, ginger, and swamp taro have been identified. Some of these taros require cooking, drying or leaching to remove toxic calcium oxalate crystals but the pith of certain palms can be eating raw. These palms have high energetic yields but some processing costs as the palms have to be felled and the fiber pounded or otherwise extracted from the trunk. Evidence from sites in Southeast Asia and the evidence we will discuss in Lecture 9 from the Ache demonstrates that forest environments provided rich habitats for human foragers. Recall from Lecture 6 that the islands of Indonesia were accessible by land during glacial periods when water was locked up in northern hemisphere ice shields. </strong></p>
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<td><strong>Erlandson, Jon M., 2001. The archaeology of aquatic adaptations: Paradigms for a new millennium. J Arch. Research. 9(4): 287- 350. For this lecture read pages 287-321. </strong></td>
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<div align="center"><strong><span class="style22">Also Recommended </span></strong></div>
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<p><strong>Barton, H., 2005. The case for rainforest foragers: The starch record from Niah Cave, Sarawak. Asian Perspectives 44(1): 56-72. (Asian Perspectives available as electronic edition Marriott Library) </strong></p>
<p><strong>Huffman, O. F., Y. Zaim, J. Kappelman, D. R. Ruez Jr., J. de Vos, Y. Rizal, F. Aziz, C. Hertler. 2006. Relocation of the 1936 Mojokerto skull discovery site near Perning, East Java. J. Hum. Evol. 50: 431-451. </strong></p>
<p><strong>Huffman, O. F., and Yahdi Zaim. 2003. Mojokerto Delta, East Jawa: Paleoenvironment of <em>Homo modjokertensis </em>First Results </strong></p>
<p><strong>Semah, Francois, Semah, Anne-Marie and Simanjuntak, Truman, 2003. More than a million years of human occupation in insular Southeast Asia. In Under the Canopy: The Archaeology of Tropical Rain Forests. pp 161-190. ed. J. Mercader New Brunswick, NJ: Rutgers University Press. (available from  Marriott Library, Course Reserves) </strong></p>
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<h2 class="form">File: Lecture 8 Optimal Foraging Theory</h2>
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<p>Anthro 4962 The Evolution of the Human Diet </p>
<p class="style19">Lecture 8 </p>
<p class="style19">Optimal Foraging Theory </p>
<p class="style25">University of Utah Fall 2005 Helen Alvarez</p>
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<p><strong> Shores of Walker Lake (The North American Indian; v.15)  from Northwestern University Library,&nbsp; <em>Edward S. Curtis&#8217;s &#8216;The North American Indian&#8217;: the Photographic Images</em>, 2001. Curtis described the setting of this photo: Walker lake, one of numerous saline lakes remaining from a great inland sea that once covered western Nevada and northeastern California, is the seat of a major division of the Paviotso. In the western corner of Nevada it is fed by Walker river, the numerous branches of which head on the eastern slope of the Sierra Nevada in California. Although there is no outlet, the water is not too saline for the thriving of trout and suckers, which were taken on bone hooks, with double-pointed spears, and in gill-nets.</strong> </p>
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<p align="left" class="style20">&nbsp;</p>
<p align="left" class="style20">The lectures to date have focused on the evolution of Plio-Pleistocene diets inferred from the archaeological evidence and from paleoecology  informed by modern food preferences through an implicit assumption that the environment is populated with nutritious plants and animals to be captured by individual hominids ranging over that landscape. Most of you know from other classes and from your own diets that foragers are selective in their choices. The simple coincidence of resource and forager in the same habitat tells us little about the diets of the forager. To be fair we have looked at circumstantial evidence for use of some resources such as cut marks on bones, opened and cracked shells, processed fish bodies, special tools for capturing specific animals, and isotope ratios but all of that evidence provides only a coarse grained picture of early diets. Archaeologists interested in refining their assessments of past foraging strategies have applied  models from optimal foraging theory (OFT) to help them understand the past. These models were originally developed by biologists  interested in explaining the specific resource choices they observed in their study populations. They were subsequently used by evolutionary anthropologists to study diet choices in modern foragers subsisting on wild resources. Most of you know that the faculty and students from the University of Utah departments of biology and anthropology were very active in developing and applying these models. </p>
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<p><strong>The first efforts toward understanding resource capture were undertaken by a Canadian entomologist, C. S. Hollings who designed a simple experiment modeling predator and prey interactions. The prey were represented by 4 cm sandpaper discs tacked to a 9 sq. ft. table. The predator was his blindfolded research assistant who tapped her fingers over the table until she encountered a disc, which she removed and set aside before returning to the task of &#8220;capture&#8221;. The trials were iterated at various prey densities and the relationship between rate of capture and disc density was plotted giving the marginal value curve shown on the right. The  rate of capture does not increase in a linear fashion with the increase in the density of the prey.</strong></p>
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<div align="right"><img src="Fall 2006/Lectures/Lect8_Theory folder/Lect8_Theory/HollingsDiscS.png" width="372" height="324" align="top"></div>
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<td width="641" bgcolor="CCCC99"><strong>Hollings&#8217;s results became the basis for the distinction between search and handling in the subsequent development of OFT. His simple experiments showed that search time was a function of prey density on the landscape while handling time after encounter was a function peculiar to the prey type. These distinctions became important in all subsequent OFT models.</strong></td>
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<p class="style22">Optimal foraging theory drew attention to the empirical fact that every resource has a cost of acquisition and processing. These costs make comparisons of  energy yields of food meaningless unless handling costs are considered in the comparisons.  Here I have posted Table 1 from Bright, Ugan and Hunsaker (2002) showing the energy yield of certain resources taken by Australian and Great Basin foragers and the Kcal/hr return for those resources after processing. I have sorted their table from highest net gain to lowest and plotted the yield with and without processing to show you how the rank of resources changes when the handling costs are debited. </p>
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<td width="394"><img src="Fall 2006/Lectures/Lect8_Theory folder/Lect8_Theory/Table1_rankS.png" width="372" height="311"></td>
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<td valign="top"><span class="style22">Notice on the figure, drawn from the table, that resources with high energy density (red line) are not necessarily the resources that yield the highest returns after processing (blue line). From this set, the highest ranked resources are all animals with tubers ranking just below small game. Compare the yield of rabbits (#3) and pine nuts (#11) on both curves to see how processing costs change the relative rank of resources. If meat is always the highest ranked resource, across many habitats, why should human foragers ever take any other resource? You should be able to answer this questions by the end of Section II. </span></td>
<td><img src="Fall 2006/Lectures/Lect8_Theory folder/Lect8_Theory/Fig1_rankS.png" width="372" height="273"></td>
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<p><strong>How can the information from OFT be reconciled with the Grandmother Hypothesis for the evolution of human life histories from O&#8217;Connell et al. 1999 (Lecture 5)? The fundamental premise of OFT is sound as we expect natural selection to favor individuals that allocate energy to tasks that promote somatic growth, maintenance and reproduction. In any habitat those genotypes better at allocation decisions are expected to leave the most descendants, that is have the highest fitness, yet the expectations of the diet breadth models are often violated in real populations. All models assume a generic forager but the early work with the Ache demonstrated that men routinely ignore the highest ranked resource in the forest, palm starch, in favor of hunting. This falsification of the model was as important as the confirmation of most of the predictions for other resources because it raised the question of why men hunt which led through many populations and many papers to important ideas about the role of costly signaling in male-male competition and linked sexual selection theory and foraging theory. But sexual selection on males is not the only factor determining diet choice as risk and uncertainty influence forager choices.</strong></p>
<p align="left" class="style20">The idea that the value of a resource item is determined by the costs of search and handling changed the way investigators ranked prey items in the foragers environment. Many resources are energy dense but have high search and handling costs. It is not the absolute value, to a forager, of the resource but the net energy gain to the consumer after the energetic costs of pursuit and handling are debited. In most investigations of actual foragers net energy gains are calculated  by   debiting post encounter costs against the currency of the gain, usually calculated in caloric return per unit of time spent in pursuit, capture and handling.In the simple version of the optimal diet model resources are included in the diet based on the tradeoff between handling upon encounter and the option of continuing to search for other items. The decision is based on the mean rate of return for that particular habitat and the suite of resources within it. Be aware that post encounter returns are always much larger than returns reported with search time included unless search time is nil. The inclusion of processing costs in the equation reflects the net gain to the forager from choosing any resource and influences forager preferences for certain resources over others.</p>
<p align="left" class="style20"> Richard Lee&#8217;s failure to include processing time in the cost of mongongo nuts seriously under estimated the contribution of women&#8217;s work to family energy budgets and led to the characterization of the Dobe !Kung as the the original affluent society, meeting their subsistence needs with few hours of work. I have assigned two short readings, Sih and Milton (1985) and Hawkes and O&#8217;Connell (1985) debating the the use of OFT to study human resource choices and specifically the ranking of mongongo nuts in !Kung diets. These two papers will give you a sense of the early arguments over the application of OFT models to human foragers and the value and problem of simplifying assumptions. As you have already read in Erlandson, the failure to report search time for resources leads to the over estimation of returns from resources such as collared peccaries and makes comparisons of post encounter returns of resources, such as red deer and mussels  from two very different habitats, meaningless. </p>
<p align="left" class="style20">Note in all of the lectures that follow I have tried to maintain the notation, calories, cal/hr, Cal/hr, or Kcal/hr used in the assigned papers. The  <a href="http://www.hpb.gov.sg/hpb/default.asp?pg_id=1462" target="_blank">notation</a> is confusing, but the link provides a simple explanation of the differences. For our purposes we assume that investigators are referring to Kcal when they use cal, Cal or calories to indicate the energetic gains from any resource.</p>
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<p><strong>Winterhalder, Lu and Tucker (1999 p. 302-303) distinguish between risk and uncertainty by defining risk as &#8220;unpredictable variation in the outcome of a behavior, with consequences for an organism&#8217;s fitness or utility.&#8221; Further &#8220;with risk the probability distribution of outcomes is in some sense known to the organism, but stochasticity makes any particular outcome unpredictable.&#8221; &#8220;Uncertainty refers to incomplete knowledge of outcome probabilities. Uncertainty can be overcome by acquiring information about an environment; risk cannot.&#8221; They make the point that risk as used in behavioral ecology and economics does not &#8220;mean exposure to danger.&#8221; The authors point out that simple foraging models assume the forager always experiences the average conditions of its  habitat where decisions have predictable outcomes. This assumption is central in all debates over the role of big game hunting in the evolution of the human diet. </strong></p>
<p><strong>When we examine Hadza foraging strategies we will consider the high variance in game capture and contrast that to figures for the average amount of meat in the diet. In contrast to deterministic models, risk sensitive models assume organisms adjust to a range of possibilities arrayed along a probabilistic distribution. In addition risk-sensitive analysis specifies the relationship between the outcome and its fitness value resulting in a sigmoid curve. To the left of the inflection point of the curve value rises with increasing resources but at an accelerating marginal rate when the resources are scarce and at a decelerating marginal rate when they are abundant. In simple language, with too little food &#8220;added increments have high value and with too much, added increments count for little (Winterhalder et al. 1999 p 304).&#8221; The work of Curaco and his colleagues, with yellow-eyed juncos, showed that the utility function for the birds takes the sigmoid form. There is no reason to suspect that hominids are any less responsive to variable outcomes. If you are interested in further exploration of these ideas the figures presented in the Winterhalder et al. (1999) paper will give you a much better sense of the issues. I have posted the paper under also recommended for those of you interested in a more detailed explanation. </strong></p>
<p><strong>Since value is measured as a rate, usually in calories gained per unit time, the sigmoid value function is time sensitive and this sensitivity varies with respect to the physiology of the organism and the character of the resource. Think back to Lecture 1 and the link to the Moran Eye center Web vision site with the graphic demonstrating the daily rebuilding of the pigment containing discs of the rods and cones. Stores of vitamin A must be sufficient to  support the daily demands of this process. Winterhalder et al. (1999) make the same point about water acquisition. The preference for a reward of <em>k</em> liters/hr and equal probabilities of 0 or 2<em>k</em> liters/hr will depend upon whether the result will be suffered for hours, days or weeks before choice and outcome are reiterated. </strong></p>
<p><strong>Responses of the organism to risk are  determined by design by natural selection over the long time frame and the physiological state of the organism over shorter time frames. In general females are expected to be more risk adverse than males and organisms in negative energy balance are predicted to be more risk prone. The latter prediction was confirmed in experiments with yellow-eyed juncos whose foraging choices were observed under different temperature regimes that influenced energy balance. Given two foraging options with constant or variable rewards, birds in negative energy balance favored the high variance reward, presumably in the attempt to gain a reward sufficient to change their energy balance. </strong><strong>The excitement generated by these results was tempered by   a number of experiments that failed to replicate the results. Winterhalder et al. (1999 p. 323) conclude; &#8220;These studies suggest that the expected energy budget rule may apply only rarely to hominids, nonhominid primates, and modern humans which are omnivorous and relatively large species.&#8221;</strong></p>
<p><strong> They might have qualified their statement to include only adult humans as anthropologists and archaeologists, with few exceptions (cf. O&#8217;Connell et al. 1999), have ignored the consequences of short periods of negative energy balance on the growth and development of neonates, infants, and juveniles. Conversely, resistance to short-term perturbations in energy balance may be an advantage of large body size that contributed to the success and expansion of <em>H. erectus. </em>We need to be careful here not to attribute the evolution of large body size to a resistance to short term negative energy balance. Such resistance can be a consequence of large body size but the causal arrow on the evolution of large body size runs from mortality risks in the environment of the species.  Following Charnov&#8217;s (1993) mammalian life history model, large body size is a consequence of more time to grow larger because lower average adult mortality, from extrinsic causes, favors delaying the change from somatic to reproductive allocation. Organisms that experience low average adult mortality rates, grow longer, mature later and have longer lifespans. These are the derived traits that distinguish us from our nearest primate relatives. These arguments were reviewed by O&#8217;Connell et al. (1999). </strong></p>
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<p><strong>The last assigned reading for this lecture is a paper by Elston and Zeanah in which they use models from behavioral ecology  to understand the Holocene transition evident in the archaeological record of the Great Basin. Most of you know that our department has been in the forefront of extending foraging theory to hunter-gatherers but you may not be aware of the innovative ways the models are being applied to solve longstanding problems in Great Basin archaeology. The paper by Elston and Zeanah is a good example of this work as well as providing a link, in this course, from ancestral populations known only from the archaeological record and the next set of papers from more recent foragers. The opening graphic of this lecture, from the work of Edward S. Curtis, is intended to emphasize the importance of Great Basin studies to applications of optimal foraging theory to human foragers and to highlight the importance of ethnographic analogs to this work.</strong></p>
<p align="left" class="style20">The record of human occupation in the basin can be divided into two distinct time frames labeled Prearchaic for the period from 10,500-8000 BP and Archaic for later occupation. The early Holocene (EH) climate experienced by Prearchaic populations was cooler and wetter than climates after about 7800 BP. &#8220;The relatively cool, even EH climate, abundant surface water and complex steppe vegetation created productive habitats for a rich biota of fish, waterfowl and mammals (Elston and Zeanah 2002 p. 107).&#8221; The tool assemblages from this time period have an array of projectile points and flaked tools indicating a hunting economy but the coprolites recovered from the sites indicate a diet that included many of the resources of the lakes and marshes plus seeds and small animals, quite unlike a diet predicted from the graph of energy yield posted above. Basin occupants in this time period had access to a variety of resources within  short travel distances as basins with lakes and marshes were separated by ridges with brushy steppes and juniper woodland from mid-elevation to ridge tops providing high-quality habitat for larger game animals. Moreover the scatter, size and character of the archaeological sites from this time period indicate low population density and high mobility of foraging groups. </p>
<p align="left" class="style20">An attempt to use the diet breadth model to explain the evidence for the addition of seeds to the diet failed as the model developed by Simms predicted that women should have by-passed seed under all conditions, including the absence of large game, a prediction contrary to the clear  evidence for seed use. A second model analyzed the distribution of soil types in the basin to develop a patch choice model. The simulations based on the distribution of lowland and upland habitats predicted that women should bypass seeds in favor of other plant resources and small game and men should have targeted only large and medium size game. This model fails to explain the evidence for small animal consumption found in the coprolites. Finally a risk sensitivity analysis returned the prediction that risk prone foragers should favor the high variance option &#8220;preferentially pursuing large game over smaller game and foraging in habitats where encounters with large game were most likely (Elston and Zeanah 2002 p. 115)&#8221; while risk sensitive foragers should prefer lower-ranked resources characterized by low variance in acquisition. From this model, Pinson (1999, cited in Elston and Zeanah 2002) hypothesized that Prearchaic foragers avoided starvation risk by pursuing small game. That is they were risk adverse. </p>
<p align="left" class="style20">Elston and Zeanah (2002) note the following problems in  Pinson&#8217;s analysis; 1) the model ignores the possibility that Prearchaic foragers might have entered basins where foraging returns did not meet daily requirements at which point the risk of starvation should have prompted the risk prone strategy of choosing the high variance option of large mammal hunting, 2) if Prearchaic foragers were risk adverse they would be expected to forgo migration from known basin habitats to new, unknown locations, and 3) if EH environments were as patchy as predicted by Pinson, the Prearchaic archaeological record should more nearly correspond to the Archaic record when climate deterioration reduced the density of high ranked prey. Increasing search time would have been a consequence under both conditions. </p>
<p align="left" class="style20">Zeanah et al. (1999) used some of the techniques from Pinson&#8217;s analysis of Carson Desert foraging in simulations of optimal foraging in Railroad Valley but in the latter analysis &#8220;more detailed regional palaeoenvironmental data, better information on the productive capacity of modern soil types and improved GIS (Geographic Information System) capabilities permitted a more finely tuned reconstruction of prehistoric foraging landscapes than was feasible in the Carson Desert (Elston and Zeanah (2002 p. 117).&#8221; The Railroad Valley simulations considered male and female foragers randomly encountering resources across spatial and seasonal variation. From the early Holocene (EH)to middle Holocene (MH) hunting returns for men diminished by as much as 75% in all seasons. By contrast women&#8217;s returns varied much less across the transition, increasing somewhat in autumn as pinyons entered the ecosystem. As habitats dried out in the MH, wetland resources disappeared as options for women allowing lower ranked small seeds to enter the diet in late winter-early spring. </p>
<p align="left" class="style20">The authors conclude that the highly productive ecosystems of the EH and the low population numbers encouraged high mobility that allowed men and women to forage in the most productive habitats for their resource choices. As the climate changed and women&#8217;s wet land resources declined, Great Basin foragers faced the risk of starvation in certain seasons. In the face of this risk women collected small seeds in seasons when they were abundant and stored them for the short season. Seed caches changed the pattern of mobility for both men and women, encouraged residential bases, lower investment in tools for large game hunting and more investment in tools such as grinding stones for seed processing. Bright, Ugan and Hunsaker (2002) predicted increasing investment in processing tools to reduce handling cost as lower ranked resources enter the diet in response to a decline in the density of higher ranked resources. The change in grinding stone technology, through time, in the Little Boulder Basin area of north-central Nevada supports that prediction. These innovative approaches linking optimal foraging theory, resource changes through time, and changing investments in technology increase our confidence that ancestral diet choices can be studied and understood. In lecture 9 we will look at how foraging models, applied to resource choices in modern hunter-gathers, have improved our understanding of human diet choices. </p>
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<p><strong>Sih, Andrew and Milton, Katherine. 1985. Optimal diet theory: Should the !Kung eat mongongos? Amer. Anthropol. 87(2):396-401. </strong></p>
<p><strong>Hawkes, Kristen and O&#8217;Connell, James F. 1985 Optimal foraging models and the case of the !Kung. Amer. Anthropol. 87(2):401-405. </strong></p>
<p><strong>Elston, R. G. and Zeanah, D. W. 2002. Thinking outside the box: A new perspective on diet breadth and sexual division of labor in the Prearchaic Great Basin. World Arch. 34(1):103-130. </strong></p>
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<div align="center"><strong><span class="style21">Also Recommended </span></strong></div>
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<td><strong>Winterhalder, B., Lu, F., and Tucker, B. 1999. Risk-sensitive adaptive tactics: Models and evidence from subsistence studies in biology and anthropology. J. Arch. Res. 7(4): 301-348. </strong></td>
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<h2 class="form">File: Lecture 9 The Ache: Broadleaf Evergreen Foragers</h2>
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<p class="style18">Anthro 4962 The Evolution of the Human Diet</p>
<p class="style19">Lecture 9 </p>
<p class="style19">The Ache: Broadleaf Evergreen Foragers </p>
<p class="style25">University of Utah Fall 2005 Helen Alvarez</p>
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<p align="center" class="style20">Ache Man Carrying the Head of a Tapir</p>
<p align="center" class="style21">photo from anthrophoto.com  </p>
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<p><strong>The Ache are foragers of the subtropical, broadleaf, evergreen forest of Paraguay. I chose this example because Ache foraging has been intensively studied by the Utah Ache Project and as a comparison to  semiarid African strategies. The warm, wet summer regime of the Ache forests are similar to <a href="http://www.answers.com/topic/k-ppen-climate-classification" target="_blank">habitats </a>  widely distributed from South America to Indonesia between 20 degrees north and south of the equator in regions with annual average precipitation varying from <a href="http://www.metric-conversions.org/length/millimeters-to-inches.htm" target="_blank">1600 mm</a> to 2000 mm. Temperature regimes in these habitats are characterized by  warm summers and warm to cool winters with January maximums in the Ache region of around <a href="http://www.online-calculators.co.uk/conversion/centigradefahrenheit.php" target="_blank">40 degrees centigrade</a> and July minimums of about -3 degrees centigrade. Early anatomically modern humans moving south toward Australia and north into China, Viet Nam, and Thailand must have encountered these habitats and foraged in them. The early Pleistocene archaeological record of upland Southeast Asia is little explored but the Ache can serve as a reasonable analog of human foraging strategies in humid subtropical ecosystems. Keep in mind that the distribution of these ecosystems, through time, was determined by northern hemisphere glacial cycles. On the Koppen climate classification map pictured below the Ache habitat is shown in green, warm to hot wet summer, cool dry winter. </strong></p>
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<td><strong>Note the distribution of zones colored purple, pink, pale yellow  and medium green. All of these zones are characterized by  wet conditions during the  season of maximum solar insolation. </strong></td>
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<p><strong>The required reading for this lecture, Hawkes, Hill, and O&#8217;Connell (1982) is one of the earliest reports of the use of OFT to analyze resource choices of humans foraging on wild food. Even though the preliminary data in this paper has been revised and corrected in subsequent papers, I have assigned this early paper because it provides a brief history of the arguments, in anthropology, over human diets and because of the broad picture it provides of Ache foraging. The northern Ache were full-time hunter-gatherers until  mid-1970 but  now live at settlements sponsored by a Catholic mission. At the time the research was conducted by the University of Utah Ache project, they still engaged in foraging expeditions and lived on wild resources during their time away from camp. Hawkes et al. (1982,)  contrast the views of Richard Lee, developed from his field experience with the !Kung, to those of Marvin Harris developed in a series of  debates with Napoleon Chagnon over the causes of violence among the Yanomamo. Harris argued that the Yanomamo fought over scarce protein resources while Lee&#8217;s tally of foods eaten daily in !Kung camps convinced him that plant foods were more important than meat. Harris argued that meat was nutritionally superior to plants and would only be replaced by plants when large game animals had been depleted by hunting pressure. The important themes that would subsequently dominate debate over foraging strategies in modern hunter-gatherers  are set out in Hawkes et al. (1982 p. 380).</strong></p>
<p align="left"><strong> &#8220;Lee argues that plant foods are favored because they are abundant, reliable, and readily located, and therefore more efficiently exploited than are animal foods. Plants are said to be low-risk/high-return resources, while animals are high-risk/low-return resources. Animals are taken in spite of the inefficiencies involved because of the taste appeal of the meat and the prestige that accrues to successful hunters.&#8221; </strong></p>
<p align="left"><strong>Hawkes et al. (1982) use two models from OFT, the  optimal diet model and the patch choice model,  to predict the resources the Ache should gather if they are maximizing net energy return. You were introduced to the optimal diet model by Elston and Zenah (2002), lecture 8, so you should know that the forager is assumed to make a decision about whether to take a resource upon encounter or to continue searching.  Resources are ranked based on the return in calories over the post encounter processing times including both pursuit, for mobile prey, and processing to turn the resource into food. The forager is predicted to take only those resources that give a return rate equal to or higher than the average rate for resource in the optimal diet. Recall the Hollings Curve which showed that search and handling time are distinct elements of the problem, the search time is determined by the density of prey on the landscape but the net returns from that prey are determined by the handling time. It is the net return, after handling, that determines the rank of the prey in the diet. </strong></p>
<p align="left"><strong>In the simple form of the model high ranked prey should always be taken when encountered. Hawkes, Hill and O&#8217;Connell make a very important point on page 388: &#8220;Note that the resource rankings of this model say nothing about the quantitative importance of a resource to optimal foragers. High-ranked items may be so rarely encountered that they represent only a very small portion of the diet; low-ranked items in the optimal set may be encountered with sufficient frequency to contribute the bulk.&#8221; Keep this in mind when we get to the disputes over the importance of various foods for contemporary human nutrition. Three additional points, 1) when the cost of search is added to the cost of any resource, its value to the forager, in absolute terms, may decline, 2)  all optimal diet models are specific to a habitat and time period, and 3) the optimal diet model assumes a fine-grained environment where resources are encountered at random.</strong></p>
<p align="left"><strong>Foraging trips with the Ache showed that the environment is coarse-grained or patchy with many resources clumped. On foraging trips the Ache often stop to harvest in some resource patches but not others. The authors suggest that the &#8220;distribution of tools&#8221; (Hawkes et al. 1982 p. 391) might account for the decision but discard that suggestion because the Ache nearly always take oranges and honey, even though both are harvested with the use of axes, but often pass palm fiber. The patch choice model predicts that foragers use patches that produce the best return when travel time, search within the patch, and handling time are considered. Notice that return figures for patchy resources include the time for searching within the patch. If both animals and oranges are considered as patches the average energetic gain return for hunting, including search is about 1115 Cal. per hunter-hour while the return for oranges is 4438 Cal per forager-hour and the return for honey is 3231 Cal/hr. Palm larvae has a similarly high return rate of 1849 Cal per forager-hour but involves the risk of high variability across logs. Returns calculated for fishing patches were similarly variable, ranging from &gt; 2000 Cal per forager-hour to about 733 Cal per forager hour leading to two questions, when should foragers exploit palms and when to take fish. The average return rate in calories per hour of sixteen resources taken by the Ache are listed in Table 3, page 389. Notice that collared peccaries are a very high ranked resource but no search time is factored into the estimate of return. </strong></p>
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<div align="center"><strong><span class="style23">Summary: Five Years of Research </span></strong></div>
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<p align="left"><strong>Subsequent analyses of the data from five years of research on Ache resource choices reported in Hill et al. (1987) highlighted both the value and problem of using optimal foraging theory for analysis of human foraging choices. First detailed records showed that a theory for  generic foragers failed to capture the different strategies of males and females. Among the Ache, men achieve significantly higher returns, 1253 Cal/hr, than women, 1087 Cal/hr. These figures are averaged over all resources taken by Ache men and women and include both search and handling costs. Before processing the rates are more nearly the same, 1339 Cal/hr for men and 1221 Cal/hr for women. The differences in rates  indicate the high cost of processing palm fiber. Men often by pass palms but when they do take them they gain higher rates because they process the fiber faster than women. Consistent with the predictions of OFT models only one of the 26 resources taken by the Ache gave returns, after encounter, lower than the overall mean. That resource was palm larvae, mostly taken by women but sometimes also collected by men. Contrary to the predictions of the theory that foragers should preferentially target high return resources, returns from adult male hunting, 1349 Cal/hr, were lower than the caloric return, 2630 Cal/hr that could be obtained from palm starch and hearts (Hill et al. 1986). </strong></p>
<p align="left"><strong>The observations  that men gain higher returns than women, on average, changes if returns are compared for days when camp is not moved.  On days when the group is moving women carry babies, pets, household belongings, and any meat the men catch. Men keep hunting after turning over meat they have already caught. Because of the opportunity cost of processing, most Ache processing work is completed in camp at the end of the day. When the Ache women are moving they pass many resources they might otherwise gather so their return rates on camp move days is very low. By contrast when they stay in one camp for several days, the women achieve a return on gathering of 2804 calories per hour compared to a return rate for men, on these days, of 1344. These figures include all time spent in food acquisition and processing. </strong></p>
<p align="left"><strong>These results raised the question of why men hunt and suggested  two alternative hypotheses, 1) caloric return per unit of time is not the only currency by which foraging strategies should be judged and 2) fitness payoffs for hunting are broader than meeting subsistence requirements. The first hypothesis proposes, in agreement with Harris, that meat is more highly valued than plant food because of high protein and lipid content. You can evaluate this hypothesis by recalling the human RDA for lipids and protein in the diet as reported by <a href="http://www.cast.uark.edu/local/icaes/conferences/wburg/posters/nconklin/conklin.html" target="_blank">Conklin-Brittain et al.</a>, lecture 2 and the values of lipids and proteins that can be acquired from plant foods. When you open the link search on RDA to compare values in chimpanzee diets to RDA for humans. Also have a look at the figures and ask if annual averages reported in the charts are misleading. Monthly mean lipid levels in the diets are much more variable than monthly mean protein levels. Even though the annual mean lipid level in the chimpanzee diet seems sufficient to meet the RDA for humans the high variance may not provide adequate daily lipid consumption. The second hypothesis, suggested but not fully developed in this paper, is that men opt for a high variance strategy that promises a large payoff when successful. The payoffs for hunting include not only the calories, proteins, and lipids gained from the meat but mating benefits for good hunters. This last payoff is more fully developed in the papers on Hadza hunting. </strong></p>
<p align="left"><strong>The work with the Ache demonstrated that human foragers differ, by age and sex, in the amount of time they spend foraging, the resources they take, and the amount of time they spend processing. The resources a forager takes on any day is not only a function of the costs of pursuit and handling but of the foragers state and the time frame over which the subsistence needs exist. Lower ranked fruit that can easily be gathered and eaten while moving will often be collected to satisfy short term needs while large game and palm starch are taken to satisfy needs over several days. In all cases the ranking of resources is habitat specific and even in the relatively stable habitat of the lowland deciduous forest can vary by season. The Ache only hunt and dig armadillos in the late wet season when the animals are fat and the average return is 3948 cal/hr compared to a return of 1220 cal/hr in the early wet season. </strong></p>
<p align="left"><strong>The emphasis on highly ranked resources might leave the impression that the Ache diet is very narrow but the list of wild plants and animals taken by the Ache suggests otherwise. Have a look at Table 2 from Hill et al. (1987), below to get some idea of the variety in the diet. Remember larva are the only resource that reduces the average return, over all resources included in the diet. The optimal diet model predicts that the Ache should never take bamboo larva but ethnographic observations indicate larva are often collected. Do the Ache take larva because they value the high fat content of larva? This question is still the subject of debate so no clear answer but exceptions to the predictions of OFT do not diminish the usefulness of the model. Instead they open new windows into human foraging strategies. </strong></p>
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<td bgcolor="DDDDDD"><strong><span class="style24"> Hill, Kaplan, Hawkes, and Hurtado (1987) Foraging decisions amount Ache hunter-gatherers: New data and implications for optimal foraging models. Ethology and Sociobiology 8: 1-36. </span></strong></td>
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<p align="left"><strong>The Ache are exceptional, among studied hunter-gatherers, in the number of calories they consume daily, 3610, and in the amount of meat they eat, 80% of calories from meat. Notice in  Table 2, the difference in return rates depending upon the included costs. The return for White-tipped peccary is 5323 calories/hour if time spent tracking is debited but as high as 8755 calories per hour if only post encounter rates are considered. Similarly Ache men obtain a much higher return for 9-banded Armadillos they encounter on the surface compared to those they dig up. The variation in these rates makes it nearly impossible to compare return rates across foragers if the ethnographers don&#8217;t clearly distinguish between the methods of calculating rates. Keep these problems in mind as we survey foraging strategies across habitats.</strong></p>
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<td><strong>Hawkes, K., Hill, K., and O&#8217;Connell, James F. 1982 Why hunters gather: optimal foraging and the Ache of eastern Paraguay. Am. Ethnol. 9(2): 379-397. </strong></td>
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<td><strong>Hill, K., Kaplan, H., Hawkes, K., and Hurtado, A.M. 1987 Foraging decisions among Ache hunter-gatherers: New data and implications for optimal foraging models. Ethology and Sociobiology 8:1-36. </strong></td>
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<h2 class="form">File: Lecture 10 Semiarid African Strategies</h2>
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<p class="style18">Anthro 4962 The Evolution of the Human Diet</p>
<p class="style19">University of Utah Fall 2005 Helen Alvarez</p>
<p class="style19">Lecture 10 </p>
<p class="style19">Semiarid African Strategies </p>
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<div align="center"><img src="Fall 2006/Lectures/Lect10_SemiArid_Africa folder/Lect10_SemiArid_Africa/KungBerries.jpg" width="550" height="375"></div>
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<p align="center"><span class="style20">!Kung Mother with Her Baby on Her Back Gathers Berries</span></p>
<p align="center"><strong>photo by Marjorie Shostak from </p>
<p>www.anthrophoto.com</p>
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<p><strong>In this lecture we focus on the foraging strategies of the !Kung  and Hadza hunter-gatherers of the semiarid region of Africa. The work of Lorna and John Marshall  and Richard Lee made the Kalahari San the archetype for hunter-gatherers and the evolution of human foraging strategies. Their work in Southern Africa was complemented by the early work of James Woodburn among the Hadza of Tanzania and the detailed work of James O&#8217;Connell and Kristin Hawkes among the same group. As a consequence of these efforts we know more about human foraging in semiarid environments than in almost any other habitat. You viewed the map of present climatic regimes in the last lecture. Go back and have a look at the distribution of semiarid lands in Africa, the bright yellow and three shades of orange areas. The !Kung San live in the Kalahari desert of southwestern Botswana and eastern Namibia and the Hadza occupy the area around Lake Eyasi just south of the equator in Tanzania. Both areas are characterized by seasonal rainfall and shortages of surface water in the dry season. In these semiarid, seasonal rainfall climates, precipitation is highly variable from year to year and across the region in any one rainy season. In the Kalahari, over eleven years, precipitation varied from a low of <a href="http://www.metric-conversions.org/length/millimeters-to-inches.htm" target="_blank">252.1 mm</a> in 1962 to high of 788.9 mm the next year. Temperatures in the Kalahari vary from a high of 40 degrees centigrade in November-December to a low of nearly <a href="http://www.online-calculators.co.uk/conversion/centigradefahrenheit.php" target="_blank">-10 degrees centigrade</a> in July and August. The climatic regime of the two regions is very similar but the topography couldn&#8217;t be more different. These topographic differences have important implications for differences in foraging strategies of !Kung and Hadza children. In the lecture on children&#8217;s strategies we will consider those differences. This is a long lecture but the reading assignment is not excessive and I promise you a short Lecture 11. </strong></p>
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<p><strong><span class="style21">Hadza Country </span></strong></p>
<p align="left"><strong>Hadza country is characterized by rocky hills covered with mixed Acacia scrub and grass leading down to narrow, grass covered valleys. Foragers walking through this landscape to hunt or gather have vistas and landmarks to guide them. In this area children are able to forage away from home and find their way safely back to camp. We will come back to the habitat differences when we discuss juvenile provisioning and ask why the !Kung children are not able to gather more of their own resources. </strong></p>
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<p>!Kung Bushland </p>
<p align="left"><span class="style22">The Kalahari is a vast  plateau at 1100 m above sea level covered by grasses and woodland trees growing to about 30 m in height. It is a nearly featureless plain with few landmarks to guide the hunters and gatherers who make their living from its resources. Even though habitat variability seems low there is some topographic relief provided by lower lying, shallow, seasonal river beds, called <em>molapo</em>, and frying pan shaped dry lakes which hold water for a few days after a heavy rain but are otherwise hard and dry most of the time. After the rains, the Kalahari plains are grass covered. The higher land supports low shrubs that give way to taller woodland trees on the sand dunes and finally, on the outermost zone, open scrub plain. Each of these habitats provides a unique suite of resources for the !Kung. The woman introducing this lecture is gathering berries that grow on the scrub plain. </span></p>
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<p><strong> The widely read early work and films from Lorna and John Marshall and later the careful measures of !Kung foraging returns by Richard Lee established the !Kung as  archetypal human hunter-gatherers even though their habitat represents a very small percent of the habitats occupied by early <em>H. sapiens. </em>The notion that early humans evolved in an ecological niche similar to those occupied by the !Kung and Hadza focused the attention of researchers on  big game hunting as the principle dietary strategy of humans to the exclusion of other foraging strategies. You were introduced to this problem in the reading from Erlandson (2001), lecture 7. Review it here so that you can put the dietary strategies of semi-arid lands in the context of variable human responses to the opportunities presented over the long migration from Africa. Once Richard Lee measured the actual food brought into a !Kung camp, in the Dobe area of the Kalahari, he came to the conclusion that plant foods represented the principal component of the diet. The Dobe !Kung men do hunt but the returns are highly variable. In spite of the variable nature of returns from meat, it is a highly desired resource. When a large game animal comes into camp everyone eats meat but on the many days when there is no meat in camp, men, women and children do not go hungry. They enjoy other foods gathered from the sandy plains of their homeland.</strong></p>
<p><strong>I have assigned chapter 2 of Jiro Tanaka&#8217;s 1980 report on the !Kung San of the central Kalahari. You can download the reading from Marriott Course reserve. Tanaka&#8217;s field work was accomplished in the sixteen months he spent in the field between 1966 and 1968, sixteen months from April 1971 to August 1972 and two more months in 1974. </strong><strong>In his introduction to San, Hunter-Gatherers of the Kalahari, Tanaka makes the point that desert is a misnomer for this region as it is an expansive, monotonous, grassland dotted with open woodland trees and shrubs characterized by a summer rain season from December to March.  Tanaka  gives you a study of diet in an area where there are no mongongo nuts, the most important dietary staple in the area where Richard Lee worked. Richard Lee made the San famous through his measurements of the number of hours spent gathering food. Since he didn&#8217;t count processing times his estimates left the impression that the !Kung could satisfy their dietary needs in no more than 2-3 days per week. As you know from reading the Hawkes and O&#8217;Connell (1982) response to Sih and Milton (1982) Lecture 8, mongongo nuts have particularly high processing costs. </strong></p>
<p><strong>The principal foods of the central Kalahari San are listed in Table 8. Even though Tanaka did not use the framework of OFT to study resources gathered, the first eleven foods listed in Table 8 constitute the important resources in the diet. Notice the importance of melons and roots, that store water, for a people who have no access to surface water through much of the year. Tanaka attributes the ability of the San to survive in this very habitat to the technology of the digging stick which allows humans to access deeply buried tubers that cannot be gathered by any other primate, including savannah baboons who live on shallow rooted species in other habitats but need access to surface water so are unable to colonize the central Kalahari. Four of the important resources are shown in the next table. I was unable to find a good picture of <em>Bauhinia </em> beans. The shrub is a beautiful ornamental of the nursery trade so all of the online images feature the flowers and not the pods and beans. </strong></p>
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<td width="260" align="left" valign="top"><strong>The four resources pictured here are not quite to scale but give you an idea of the foods listed in Table 8. First is <em>Citrullus lanatus</em>, the wild version of our cultivated watermelon.  Second in the top row is <em>Acanthosicyos naudiniana</em>, the Kan melon. Surprisingly these melons can be gathered and kept for many months to supply water and some nutrients. Notice the relative size of these two melons in Tanaka p 60. The tubers that are so important when melons are not available are illustrated in the next panel. This tuber is probably <em> Coccinia rehmannii</em>. The final panel shows a Moroccan truffle of the same genus as the Kalahari truffle, <em>Terfezia. </em>North African truffles are now marketed to the global gourmet food trade. </strong></td>
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<p><strong>Consistent with OFT, Tanaka (p 59) reports that beans of <em>Bauhinia petersiana </em> are the &#8220;central food item for several months&#8221; making &#8220;up nearly the whole of the San&#8217;s diet&#8221; in months when they are ripe and water is available. &#8220;Even though this is the period of greatest abundance and variety of food types during the whole year, people often totally ignore other foods.&#8221; This latter is somewhat surprising as the beans must have high carrying and processing costs since the inedible pod accounts for 75% of the whole weight so approximately 5 kg of pods and beans are carried back to camp to yield 1 kg of edible beans. Table 12 in Tanaka gives  nutrient analysis of the important plant foods and Table 13 provides an estimate of the daily caloric intake per person. The figures are not intended to be totaled but to show what might be gained if 5 kg of Kan melon were eaten each day. </strong></p>
<p><strong>On page 74, Tanaka gives an estimate of 2,000 kcal for the per capita yield of food taken during the study period and finds that return consistent with the caloric needs of individuals of the size and weight of adults in the population. Compare the protein content of <em>the </em>dried beans of <em>T. esculentum</em> and <em>B. petersiana</em> and dried <em>Terfezia </em>to the protein composition in animal foods, Table 12 and Table 14, Tanaka. We can&#8217;t be sure the units reported are the same but if we assume g/100 grams in each case the plant foods are comparable in protein gain to the animal foods. <em>T. esculentum</em>, <a href="http://ift.confex.com/ift/2005/techprogram/paper_26991.htm" target="_blank">marama bean</a>, is being developed as a commercial crop in arid regions of Australia and Texas as it &#8220;is an excellent source of good quality protein and compares well with other protein foods including soybeans. Its oil is rich in mono- and di-unsaturated fatty acids and contains no cholesterol. It is also a good source of calcium, iron, zinc, phosphate, magnesium, B vitamins and folate (quoted from the web abstract). &#8221;  </strong></p>
<p><strong>The number of game animals taken during the study period is shown in Table 11. Giraffes are the largest animals hunted by the San but they are rarely captured in the very dry habitat of the Central Kalahari. More commonly captured are the gemsbok, eland and kudu each weighing 200 to 300 kg. When the amount of meat taken is averaged over all camps, Tanaka estimates that a group of 50 San kill and share approximately 5,600 kg of game in a year or about 112 kg per person or .30 kg per day. From his description we know that meat comes into camp rarely so averages are hardly adequate to estimate the amount of meat eaten. When a large animal is captured people eat nothing but meat until the animal is finished and then go without meat for many days. On page 67, Tanaka describes the sharing pattern for game, large game animals weighing 100 to 300 kg are shared among all the members of the camp, smaller animals such as duiker and steenbok are distributed over a smaller circle of families and still smaller game, birds, springhares and hares are &#8220;usually consumed within the family.&#8221; </strong></p>
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<p><strong>It is difficult to get a sense of the size of the eland in this photo but if you convert 300 kg to lbs these animals weigh about 660 lbs. Compare that to beef cattle weighing from 600 to 900 lbs. Lee estimates the edible fraction of game taken by the Dobe !Kung to be 50% of the live weight or 150 kg for an eland. In Table 5, reproduced below, he lists per capita consumption of meat at 230 grams. Calculating .230 kg per consumer day a large eland would provide 652 consumer days of meat. Dividing that by a camp size of 30 gives 21 days. However we know that the meat would spoil long before it was consumed at that consumption rate. Even though meat can be dried in the hot sun of the Kalahari it is most often consumed within a few days of capture. </strong></p>
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<td align="left" valign="top"><strong>In this photo of gemsbok you get a good sense of the red sand of the Kalahari and the formidable task of a hunter taking these impressive animals with only bow and arrow. Adult gemsbok males weigh from 167 to 209 kg with females smaller at 116 to 188 kg. Tanaka (p 77) reports that a gemsbok was brought into camp on Oct. 12 and nearly all consumed by the end of the next day. Again if we use Lee&#8217;s figures for edible yield and a mid-range figure of 188 for a male animal we can estimate 94 kg of meat in camp. On that same page, Tanaka reports 16 providers and 14 dependents so 30 people consumed, on average, 1.57 kg of meat each day for the two days the meat lasted. To convert these figures to caloric gain we can use Lee&#8217;s figures from Table 5 of 690 calories in 230 grams of meat or 4710 cal each of those days from meat. </strong></td>
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<p><strong>The figures in the above panel give you some idea of why meat is so highly regarded. Remember they are not figures that could be used to rank meat in an optimal diet because they include no post encounter processing costs. But we might think of the costs in another way. The days with meat in camp are days that men do not go hunting nor women  go out to gather. For those days no one pays the energetic costs of traveling to foraging patches, collecting and carrying in the hot sun. Tanaka reports a weight of 200 kg for the greater kudu, pictured here. In the last estimate of meat shared around the camp I neglected the portion eaten by the hunters in the bush. The amount of meat eaten by camp consumers should be reduced by the weight of internal organs and ribs the hunters sometimes eat before they transport the game (see Tanaka in the 3 pages on hunting). Hawkes et al. (1991) report slightly higher yield of edible fraction from live weight for Ache prey, 69 to 88% edible. An experiment at the University of Nevada Reno reported &#8220;dressing yield&#8221; of over 60% for grass fed beef. Keep in mind that hunters eating wild game would eat more parts of the animal than reported as yield by contemporary americans. </strong></p>
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<p><strong>The !Kung Bushmen who live in the Dobe area of the Kalahari were studied by Richard Lee from October 1963 to January 1965. Dobe is in the northwest corner of the  Kalahari where there are some permanent waterholes. During the dry season, May to October, groups cluster around the permanent water holes, moving out each morning to collect resources within about a 6 km radius of the camp. In the summer rain season between December and April  they scatter across the landscape visiting the pools of water that collect from December through April. The population is more widely dispersed  at this time of year. In the season of the rains the women gather fruits, berries, melons, and leafy greens. In the dry season they gather roots, bulbs and resins. Remember from Lecture 2, that chimpanzees add resins to their diets in the dry season. Mongongo nuts are gathered year around as the nuts that fall to the ground in one season are preserved by the very hard shell surrounding the kernel. Richard Lee (1968 p 33) makes the point that &#8220;food is a constant but distance required to reach food is a variable, it is short in the summer, fall and early winter and reaches its maximum in the spring&#8221; that is before the rains begin. </strong></p>
<p><strong>Recall the debate from the Sih-Milton/Hawkes-O&#8217;Connell exchange, assigned in lecture 8, over the high processing cost of mongongo nuts. That cost, when only time is considered, needs to be reviewed in the context of other resources that might be gathered in each season and against the background of high variability in game capture. It is almost certain than no dry season resources provide a higher return, otherwise the women would not pay the opportunity cost of processing mongongo. Lee reports the  nuts account for 50% of the vegetable diet by weight with the average daily consumption of 300 nuts yielding about 1260 calories and 56 grams of protein. Lee (1968 p 33) estimates that 7.5 ounces of nuts &#8220;contains the caloric equivalent of 2.5 pounds of cooked rice and the protein equivalent of 14 ounces of lean beef.&#8221; </strong></p>
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<p align="left"><strong>At the end of the dry season when resources around the water holes have been exhausted the !Kung women have to walk as much as 10 to 15 miles to the nut groves carrying babies as well as the nuts they gather. On these journeys the women have to make a second energetic choice, do they carry toddlers or suffer the time and energy constraint of going at the slow pace dictated by the capabilities of the youngsters. Older children are left in the camp with other caretakers but nursing babies are never left at home. In groups subsisting entirely on wild foods, interbirth intervals (IBIs) are nearly 4 years and babies are at least 3 years old before weaning. Even though !Kung babies are smaller than bottle fed American babies these women are carrying more than 30 lbs of baby and nuts. </strong></p>
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<td align="left" valign="middle"><strong>Child care constraints always have to be factored into foraging decisions made by !Kung women. How far to travel, what to pursue, how much to carry, how long to gather are all decisions a women faces in the tradeoff between when to have another baby and how to feed the ones she already has. In the photo on the right a women is digging tubers. Blurton Jones and Sibly considered these factors in the backload model to predict the birth spacing that would optimize a !Kung women&#8217;s reproductive success. Considering the rigors of walking long distances in the hot sun and the number of nuts needed to feed a family, they predicted interbirth intervals of approximately 4 years, a prediction that matched the actual IBIs fairly closely.</strong></td>
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<p><strong>The figures in this table, copied from Richard Lee (1968) What Hunters Do for a Living, or, How to Make Out on Scarce Resources In Man the Hunter eds. R. B. Lee and I De Vore. pp 30-48. Chicago: Aldine, show that mongongo nuts are an important source of both protein and calories in the diet of the Dobe !Kung. Even though vegetable foods comprise from 60-80 per cent of the total diet by weight, meat is still highly valued and widely sought. During the period charted in Table 5 !Kung hunters brought 410 lbs of meat into camp. Lee assumed that meat was shared equally by all consumers in camp, during that month between 23 and 40 individuals,  distributing 410 lbs over an average of 31.8 persons per day over the 28 days between July 6 and August 2 gives an average of just over 7 ounces per person per day.  In Table 5 Lee reports the weight in  grams (230) which is just over 8 ounces. Beware of these average reports. Looking at the large animal prey pictured above this might be one medium sized animal. Just after the animal is brought in people eat much more meat per day than 8 ounces and when the carcass is fully consumed they go without meat for many days. However, since the !Kung hunt small game as well, the total figure may represent many small animals. San Bushmen may hunt singly or go out in groups but once an animal has been spotted and hit the hunters return to camp to rest. Since the poison used on the arrows is slow acting, the wounded animal will wonder over the landscape for some time before it dies. The !Kung men know they will have a long tracking job, the next day, before they find the dying animal. </strong></p>
<p><strong>I have copied a few pages from Tanaka describing the hunt. The copy I have posted for you is missing the figures of hunting equipment but the description  gives you a good sense of the difficulty of procuring a gemsbok that has only been hit in the leg. Since the amount of poison on an arrow is small and the poison is slow acting the wounded animal may wonder a long distance before it dies. Notice that the !Kung men of the central Kalahari also scavenge prey from other carnivores and take many small species. According the Tanaka&#8217;s description, the internal organs and the ribs are cooked and eaten at the spot of the kill and the bones are smashed to get at the marrow. The uneaten portions are cut up for transport back to camp. The San consume the entire animals except for hooves, horns, bones and stomach contents. </strong></p>
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<p><strong><img src="Fall 2006/Lectures/Lect10_SemiArid_Africa folder/Lect10_SemiArid_Africa/HadzaGiraffe.jpg" width="324" height="215" align="right">Unlike the !Kung, the Hadza focus exclusively on large game animals. Over  256 days of observation in the years from 1985 through 1989, the Hadza killed or scavenged 72 large animals for an average of one animal every 3.6 days. But considering there were 6 hunters in camp during the wet season and 10 in the dry season, individual hunter success rates were not high. The average of 1 large animal every 4 days seems to guarantee that Hadza individuals eat meat every day but averages obscure the high variance in acquisition. The researchers calculate the chance of failure for any one hunter on any given day as 97%. They compare this to a success rate for the Dobe !Kung of one animal every four man-days and for the Ache, 2-3 successful days out of every 4. In the case of both the !Kung and Ache the success rate reported here includes all the small game added to the diet. Each Hadza hunter maximizes his mean rate of return by focusing on large game but at the cost of high variance, the probability of failure on any day. Remember from earlier discussions that one of the problems with the simple OFT models is they ignore variance in acquisition. The only measure in the OFT models is the rate of return, in calories per hour, for that resource after the time cost of handling and processing is debited. Remember also that the high variance in individual hunter acquisition doesn&#8217;t necessarily translate into high variance in individual consumption because a large animal taken by any hunter is shared over all the individuals in the camp as well as others who come from longer distances when the &#8220;bush radio&#8221; indicates there is meat in the camp. The chance of consuming meat, in a camp with 6 hunters, is about once a week. For a large animal, such as a zebra, the meat might last 3 days increasing the probability of eating meat. In the picture below a Hadza hunter carries a portion of meat that was butchered at the kill or scavenging site. </strong></p>
<p><strong> <img src="Fall 2006/Lectures/Lect10_SemiArid_Africa folder/Lect10_SemiArid_Africa/HadzaMeat_Sm.png" width="259" height="389" align="right">I have assigned, O&#8217;Connell, Hawkes and Blurton Jones (1988) for an argument using the ethnographic example of Hadza scavenging to assess the probability that ancestral <em>Homo</em> might have regularly eaten meat even though the weapons they had were much less effective than the weapons of the modern Hazda. In the final exam you should be able to integrate the ideas and information from O&#8217;Connell et al. (1999), Lecture 5, with the information in this lecture&#8217;s reading assignment. In the 1988 paper the researchers  report  a subset of the observations I have summarized above. In the period from 1985 through 1986 the Hadza took 54 medium/large animals of which 14% by carcass weight were acquired by scavenging. Table 2 shows the high variability of success in both hunting and scavenging. The Late dry season, Sept.- Oct. 1985 was the most successful of the four seasons tallied. During that period Hadza hunters brought 28 carcases into camp compared to 13 in the late dry, Aug.-Oct. 1986. Pay attention to &#8220;day-to-day availability&#8221; reported in column one, mid-page 359. Note the variation from one season to the next. Average income from scavenging was very high in in the early dry season 1986, 245 g per camp resident per day, but all the gain came from one animal, consumed in 3-4 days, leaving consumers many days without meat in spite of high average income from scavenging. </strong></p>
<p><strong>Can you reconcile the information in Table 2 with the graph in Figure 1? The Table shows that the Hadza are most successful at scavenging large game in the late dry season but the Figure shows that large herbivore biomass increases with annual rainfall. Two points should be taken from this observation 1) large game animals may have been relatively more abundant at the Plio/Pleistocene boundary when the genus <em>Homo</em> diverged from the australopithecines so more scavenging opportunities and more opportunities to eat meat, but 2) game animals, predators and humans are more dispersed over the landscape in the wet season and more concentrated around the water holes in the dry season. By now you should expect human diets to vary with the seasons. Recall Stewart&#8217;s hypothesis, from Lecture 5, for seasonal dependence on fish easily taken from drying ponds. No matter if fish or mammalian flesh provide the meat component of the diet when no meat comes into camp people still need to eat. </strong></p>
<p><strong><img src="Fall 2006/Lectures/Lect10_SemiArid_Africa folder/Lect10_SemiArid_Africa/hadza_GM_DigSm.png" width="330" height="303" align="left">As reviewed in O&#8217;Connell et al. (1999) berries and tubers provide the dependable daily nutritional requirements of the Hadza. Hadza  children are effective foragers on berries, baobab fruit and some shallow rooted tubers but they do not have the strength to gather the deeply rooted tubers that provide the highest returns for adult women. This photo of a senior Hadza women illustrates the strength needed to gain access to these resources. Hadza women, with unweaned babies and children over the age of 6, leave camp in early morning  to gather. They are usually accompanied by  armed teenage boys and perhaps an adult male as protection against pastoralists who range through the same area. Men and boys who accompany women on these trips sometimes take honey from wild bees. Honey is a valued resource with high caloric return. Hadza men can achieve a mean daily return rate of .78 kg per man-day by spending an average of 41 mins a day in honey collecting. </strong></p>
<p><strong>The women walk from 4 to 60 mins. to the tuber patch where they spend the day collecting. Within the patch they stop about mid-day to build a fire and cook some of the tubers they have collected. In the afternoon they continue collecting, stopping again to cook and eat before they gather up the tubers they are taking  back to camp for the evening meal. About 39% of the tubers gathered are eaten in the field. During the wet season women add berries to their foraging schedule, spending about half their foraging time in berry patches. Women gain very high returns, measured in grams per hour in the berry patches but they spend about 34% of the foraging time traveling to the patches and 23% walking within the patch between bushes.  I estimated the daily gain for berries based on 6 hours of foraging in the wet season at 26% of 6 hours times a gain of 4017 cal/hr to be 6268 cal. for a days work picking berries. In the dry season women spend 4 hours foraging for tubers. On those trips 38% of the time is spend digging for an average of 1.52 hours digging tubers that provide a return of 2000 kcal/hr or 3040 kcal/day. The foraging hours reported here are for child-bearing women. In general senior, post-cycling women forage 22-52 % longer than women of child-bearing age. When you consider the &#8220;take home calories&#8221; remember that the women and children over 6 that accompany them have been eating in the field so their need for daily subsistence from the take home &#8220;bag&#8221; is less than that for individuals who were not in the patch. You can see from these estimates that changes in the distance to tuber or berry patches could have considerable effects on the returns that women are able to gain from their daily foraging round. In general the travel distance to berry patches is higher than the distance to tubers because tubers are more densely distributed in the environment. These estimates  are reported by Hawkes, O&#8217;Connell and Blurton Jones (1989) for observations October to November 1985 and March to April 1986 ( you can find the reference in O&#8217;Connell et al. 1999). </strong></p>
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<p><strong>How many calories do foragers need? How many hours should they work for a net energetic gain? Was Marshall Sahlins right, needing little they meet their needs in a few hours of work and have many hours of leisure? If we remove our western lens and think about foraging through the lens of OFT we get a new perspective. The theory predicts that foragers should target resources that provide a net energetic return after the costs of pursuit and handling are considered. We have already learned that search time is not debited from the gross return, however all researchers know that walking time is energetically expensive. As a consequence of occupying a niche different from that of our nearest relatives we range more widely in the food quest but because we are bipeds we may be more efficient over large ranges. Leonard and Robertson (1997) modeled the energetic cost of walking for a generalized quaduped compared to a biped and found that male and female bipeds are more efficient over all speeds from 2.4 to 6.0 km/hr. They estimate that the evolution of obligate bipedality produced an energetic savings of 40 to 47% for male and female hominids compared to large bodied primates. Since modern hunter-gathers have an average range of 13.10 km/d compared to 1.77 km/d for large bodied apes an increase in locomotor efficiency is particularly important to occupation of the human foraging niche. </strong></p>
<p><strong>However the  cost of search is related not only to distance traveled but to other variables such as temperature, humidity, topography,  and load carried. Nursing infants are a particularly important component of the female forager&#8217;s load which also includes food transported back to camp where other dependent children are waiting to be fed. Unlike chimpanzees, human males carry tools, tool stone and large portions of meat.  Could it be that foragers allocate their efforts to maximize calorie gain while minimizing energetic expenditure. Are foraging strategies a tradeoff between energetic returns from the resources in their environment and the energetic cost of searching for, handling and processing those resources? Are there seasons of the year and periods of the day when it pays a forager to conserve energy by not foraging? In the extreme temperatures of the Kalahari resting in the shade during the hottest part of the day may be a very efficient strategy. </strong></p>
<p><strong>Lee reports that Dobe !Kung women work an average of 2-3 days per week but Hawkes and O&#8217;Connell (1985) point out that Lee ignores the cost of processing mongongo nuts, 5 hours of cracking and pounding to produce 1 kg of nutmeat. Lee reports per capita consumption of 210 grams of mongongo nuts so a women could produce enough nuts for approximately 4 days of consumption <em>if she only cracked for herself. </em>However she cracks for her family dependents as well. If we compare the work effort of the foragers we have studied so far we find  differences in their foraging patterns and the number of hours worked. Tanaka (Table 16) reports large variation in male work effort,  hours out of camp searching for food, among the !Kung he studied, 9.35  to 4.15 hours but less variation in women&#8217;s effort; 4.25 to 1.50. The Ache move camp almost daily, walking during the day, processing food, cooking, visiting and resting during the evening and night. The !Kung gather resources during the morning hours, unless they are tracking game, and process food, rest in the shade, and visit during the mid-day and evening hours. The Hadza also begin gathering early, stopping at mid-day and sometimes gathering late in the afternoon but often spending no more than 6 hours in the field. Hadza men are more similar to Ache men in the habit of going out to hunt every day. Variation in work effort and foraging returns across habitats would make a good term paper topic. </strong></p>
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<p><strong>Tanaka, J. 1980. Chapter 2 Subsistence Ecology In The San Hunter-Gathers of the Kalahari: A Study in Ecological Anthropology. pp 53-91. Tokyo: University of Tokyo Press. Go to Marriott Library Course Reserves to download the electronic file. </strong></p>
<p><strong>Tanaka, J. 1980. Hunting 3 pages from Chapter 1 subsection hunting. In Subsistence Ecology In The San Hunter-Gathers of the Kalahari: A Study in Ecological Anthropology. pp 30-35. Tokyo: University of Tokyo Press. Available from the Readings section webCt.</strong></p>
<p><strong>O&#8217;Connell, J. F., Hawkes, K. and Blurton Jones N. G</strong>. <strong>1988. Hadza scavenging: implications for Plio/Pleistocene hominid subsistence. Current Anthropology 29(2): 356-363. </strong></p>
<p><strong>O&#8217;Connell, J. F., Hawkes, K. and Blurton Jones N. G., 1999. Grandmothering and the evolution of <em>Homo erectus. </em>J. Hum. Evol. 36:461-485.</strong> <strong>Posted under readings Lecture 5 Review p 465 from the Grandmother Hypothesis to p 468 Applying the argument to <em>Homo erectus </em>and p 470 beginning with Climate change and &#8220;children&#8217;s&#8221; resources to p 475 An evolutionary scenario grounded in the Plio-Pleistocene.</strong></p>
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<h2 class="form">File: Lecture 11 Meriam Aquatic Foragers</h2>
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<p class="style18">Anthro 4962 The Evolution of the Human Diet</p>
<p class="style19">Lecture 11 </p>
<p class="style19">Meriam Aquatic Foragers </p>
<p class="style24">University of Utah Fall 2005 Helen Alvarez</p>
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<div align="center"><img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/MerLg.png" width="425" height="276" align="middle"></div>
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<p align="center"><strong><span class="style20">Mer Island </span></strong></p>
<p align="center" class="style20"><strong>Home of the Meriam</strong></p>
<p align="center"><strong>photo </strong><a name="OLE_LINK8" class="style21">&copy; Great Barrier Reef Marine Park Authority 1996.</a></p>
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<p class="style12"><strong><span class="style22"> Mer island is located in the Torres Strait on the northern end of the Great Barrier Reef 142 km southeast of Papua New Guinea. With this lecture we revisit the sub-humid tropics for a study of foraging strategies of a population surrounded by the sea.  The island is fringed by reef, the light blue-green color center left and zigzagging toward the center of the photo to the right of the island. The foragers of Mer practice a subsistence strategy that includes marine foraging,   growing of yams, manioc, and bananas as well as keeping of pigs and chickens and subsidies from the Australian government. The gardens and domesticated animals provide a small fraction of the diet as most carbohydrates are now purchased from a small store on the island and most of the meat in the diet comes from marine resources. Three distinct  strategies are found in the marine niche; hand-line fishing and netting on the nearshore at high tide, shell fish collecting and spear fishing on the reef flat at low tide, and deep and shallow water fishing, lobster collecting and turtle hunting offshore, and hunting and collecting turtles in the nesting season. </span></strong></p>
<p align="left"><strong>This lecture has two purposes; 1) to introduce sub-tropical marine collecting strategies, and 2) to consider an important body of ideas advanced to explain widely noted falsifications of the predictions of optimal foraging strategies. Those falsifications were first noted in the finding that Ache men rarely collect palm starch in spite of the high caloric returns provided by that resource (Hill et al. 1987). The evidence that men pursue resources characterized by high variance and wide sharing, once captured, was included in the discussion by Elston and Zenah (2002), developed by O&#8217;Connell et al. (1999) in the review of the grandmother hypothesis as an explanation for the evolution of the genus <em>Homo, </em> and  evidenced in the hunting strategies of the Kalahari San Bushmen and the Hadza big game hunters. You were prepared for these ideas by the four hypotheses advanced by Mitani and Watts (2001) to explain hunting by chimpanzee males. By now you should  suspect that male foraging is about more than satisfying personal nutritional needs. </strong></p>
<p align="left"><strong>Everywhere humans forage, men and women target different resources. The resources taken by women are characterized by low day to day variance in acquisition rate, by small package size and by limited distribution within the family. By contrast men target resources characterized by high variance in acquisition, large package size, and distribution to all in the vicinity of the catch. The fact that men do not discriminate between their wives and offspring and the families of other men provides strong evidence that male strategies are not about parental investment or offspring provisioning. The argument that male hunting can best be explained as sexual selection for male-male competition is set out in the assigned papers for this lecture.</strong></p>
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<p align="left"><strong><img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/SpearFish_GBR.png" width="240" height="218" align="right">Both men and women forage in the shallow water of the reef flat in the 2 to 4 hour low tide periods from March to end of September. Men walk to the reef edge and fish with spears catching a variety of small and large fish. The largest fish they take is giant trevally, pictured on the left, which can grow to <img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/GTrevally.png" width="240" height="179" align="left">1.7 m, but they also take a variety of very small fish such as spine foot, sweet lip, and mullet about 38 cm, 45 cm and 78 cm, respectively. The catch for the day is displayed openly as the men leave the reef at the end of the fishing bout. If you can imagine these small fish, pictured in order below, flashing through the coral and the distorted optical perspective from the surface of the water to the shallow depths where fish school and hide, flash and dart you can get a sense of the skill needed to take these fish with wooden spears. In the methods section of the assigned reading, Bliege Bird, Smith and Bird (2001), the authors note that the spearfishing forager ignores other prey types as he travels across the reef. During the low tide men spend 63% of their time spearing and 31% of their time shell fish collecting. This time allocation bears no relationship to the potential returns from the prey, 292 plus or minus 135 kcal/h for spearing and 1492 plus or minus 173 kcal for shell fish collecting.</strong></p>
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<td width="213"><img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/SpinefootSM.png" width="210" height="147"></td>
<td width="215"><img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/stripedmullet.png" width="240" height="146"></td>
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<div align="center"><strong>Spinefoot to 38 cm </strong></div>
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<p align="left"><strong>Notice that women allocate very little time to spearing, 9% of their time on the reef compared to 76% of the time shell fish collecting.  Because of the high cost of transporting the shells of the very large clams they collect, women   process as they collect. Women collect only three species, <em>Hippopus hippopus, Tridacna </em>spp. and <em>Lambis lambis</em>, the spider conch which is very much smaller than the conchs found in tropical Atlantic waters. The largest tridacna clams can reach 140 cm, over 4 feet on the longest dimension. </strong></p>
<p align="left"><img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/H.hippopusSM.png" width="240" height="203" align="left"></p>
<p align="left"><strong> Women forage on the dry reef carrying a bucket, knife, hammer and a small spear. As they collect they cut out the meat from the shell and drop it in the bucket using the hammer to crack conch shells and the spear for balance, although they do stop to spear small fish or octopus trapped in the tide pools.  When the man and woman return home from the reef he shares his fish with the neighbors and she cooks her share of the fish and the resources she has collected from the reef for the family dinner. Over a sample of 44 women, female forages brought in 1962 grams/per bout, on average, while spearfishermen (n = 36) brought in 356 grams. Study Table 1 (Bliege Bird, Smith and Bird 2001) where they report returns from the ebb tide reef flats according to activity. Reef collecting of large clams gives the highest return in calories, proteins and fat. Even though men and women spend the same time on the reef, their energetic gains are quite different. Figure 1, in this same reading, illustrates the gains achieved by forages targeting shellfish compared to gains from spearfishing. Pay attention to the kcal scale on each panel. Although the curves seem comparable the gains for spearfishing vary from 0 to 1700 kcal while those from shellfish collecting vary from 0 to 5500 kcal for just over 140 mins of foraging time. Notice also the high variance in returns on panel A. The extreme outlier of just under 1800 kcal in 25 minutes of time is not representative of the average gain reflected in the regression through the mean. The returns plotted in panel B cluster more tightly around the mean. This evidence lends support to the hypothesis that spearfishing is a costly signal of male talent. Keep this example in mind when we get to the lecture on children&#8217;s foraging and the argument that male foraging strategies explain the evolution of long juvenile periods in ancestral <em>H. sapiens.</em></strong></p>
<p align="left"><strong>If foragers process as they go, they leave no record of past meals. Think about how we derive information on ancient diets.  The archaeological record  consists of remains left at central processing spots or middens, kill sites, camp sites, and dumping sites. The record is over-weighted with resources with durable discard.  When foragers process as they forage, inedible portions are scattered across the landscape. Absence from the archaeological record never implies absence from the diet of ancestral humans. You can begin to appreciate the importance of ethnographic evidence  drawn from foragers who still collect wild foods. The power of the simple OFT models helped ethnographers understand the evidence they collected. Even where modern foragers practice a mixed subsistence, including cash purchases of food,  a great deal has been learned about the energetic costs of wild foods from the use of OFT models to understand foraging strategies for wild resources. </strong></p>
<p align="left"><strong>On their small, 2.8 by 1.7 km, bounded world the Meriam practice a seasonal round. As noted above, March to early <img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/Turtle_nestdigging.png" width="240" height="221" align="right">October the Meriam forage on reef flats at ebb-tide. In October through April they switch to  collecting nesting turtles and eggs.  Everyone participates in turtle collection during this  season as the turtles come onto the sandy beaches to dig nests and lay their eggs. The foragers go out at night or early morning and  wait on the beach for  turtle to come ashore. When a turtle is spotted, it is flipped over, the flippers tied back and the turtle hauled home  by boat.  Nesting season collections are undertaken</strong><strong> mostly for household provisioning but raw meat from the butchered turtle is always shared out with neighbors. In some cases nesting turtles will be taken for pre-arranged feasts. </strong></p>
<p align="left"><strong>Throughout the year men take turtles in the open water. There is a rich description of this type of hunting in the required reading for this lecture. You might be surprised that a reputation for a good hunter falls on the leader of the boat who directs the driver, makes decisions about pursuit and directs the chase  rather than on the jumper who actually goes into the water and wrestles the turtle. Turtle hunting is open to all men between the ages of 16-47 but participation varies. &#8220;Thus 44.5% of the 90 Meriam males ages 16-47 hunted at least once in the study period, but the 3 most active participants (3.3% of males) were over 5 times more likely to engage in a turtle hunt than the average Meriam male in this age range (Bliege Bird et al. 2001 p 14).&#8221; These same 3 men were named as the best turtle hunters in a series of interviews with other island residents. Hunting in open water is more costly than hunting on the beaches. Leaders of open water hunts are older and more experienced while young men who are jumpers in open water hunts are active participants in nesting season captures perhaps as a way of working toward hunt leadership. </strong></p>
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<p align="left"><strong><img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/Torres_turtle.png" width="240" height="157" align="left">Hunting Returns from turtle collecting and hunting are reported in Table 2. The after-sharing returns during the nesting season are comparable to the returns from reef shellfish collecting. Notice the large variation between return rates from collecting in the nesting season and hunting in the hunting season, 21,875 kcal/h vs. 4922 kcal/hr. The very large difference is caused by the inclusion of search time and energy expended in travel. The energetic costs of travel in the hunt are calculated from the conversion of the cost of fuel for the boats into calories of meat that could have been purchased at the store. When per capita returns are reported after-sharing, open water hunting results in a net loss to the hunters because of the time and fuel costs of the activity. Notice that hunting in the  hunting season is more costly than hunting in the nesting season. &#8220;In this season, hunting is much easier and hunters take on fewer costs: turtles are found on nearby reefs waiting to crawl onto the beaches to lay eggs at night, the tradewinds have largely ceased, and in between monsoon storms, the water is clear, calm and visibility is excellent, allowing hunters to dog turtles more closely, to lose fewer and to more finely discern size and sex (Bliege Bird et al. 2001 p 14).&#8221;</strong></p>
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<p align="left"><strong><img src="Fall 2006/Lectures/Lec11_Torres folder/Lec11_Torres/Mer_mackeral.png" width="200" height="303" align="right">Men often hunt on open water for other resources such as tuna, mackerel and large marine sea mammals. This picture of men displaying their spanish mackerel catch comes from Rebecca Bliege Bird&#8217;s home page at Stanford. This looks like an impressive catch but you can see, in Fig. 7 below, how large fish rank in return compared to other resources. The returns graphed in Fig. 7 represent after-sharing returns. The bar represents mean returns with the long line to the right of the bar representing one standard deviation. The longer the line the higher the variance in return.  In the case of large pelagic fish, the standard deviation indicates that men may achieve a positive or negative 5500 Net E/hr return per hour. Remember a negative return results from an unsuccessful hunt as the cost of fuel, calculated in purchasing power of store-bought meat, is debited from the return to quantify the costs of search. Only returns from netting sardine, 11,008 kcal/h before sharing, are reported in the assigned reading (p 14) but the  figure from Bliege Bird and Bird (1997) illustrates returns from the most important resources. Both men and women use casting nets to intercept schools of sardine along the perimeter of the island and hand-line fishing using hook, line and bait to catch  reef carnivores, herbivores and surf fish from the tidal margin. On this chart the returns from sardine netting are lower than those reported above but I assume acquisition costs are not debited from the figure of 11,008 kcal/hr.</strong></p>
<p align="left"><strong>In all discussion of optimal foraging across environments and in the same environment across methods we need to exercise care to make certain we are comparing net returns calculated in the same way. If search costs are debited, as they are in Fig. 7, the returns will be much lower than returns reported as post encounter return rates, the method of calculating returns using the classical optimal foraging models. </strong></p>
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<p><strong>One of the features that distinguishes  humans from other primates may well be male-male competition in the arena of provisioning others. Proponents of costly signaling hypotheses to explain the evolution of men&#8217;s work propose that human males signal their quality as mates and allies and their danger as competitors by providing high variance, high return resources that involve skill in acquisition and some personal risk. The caloric returns from the two types of signaling explored in this population are vastly different. The return from spearfishing is insignificant over the total collected resources but turtle hunting in the open water provides a very high caloric return shared over many individuals in very public feasts. In the first case, the spearfishermen signal the personal physical qualities that make them successful hunters of small mobile prey; hand-eye coordination, patience, and endurance. Their successes on the reef provide few caloric benefits to observers, but provide useful information to potential competitors and allies. Those who attend to the signal receive honest information about the quality of the man because the task is too difficult to be accomplished by those of lesser talent. In the second case,  turtle hunting in the open water, observers gain not only information but valuable calories and opportunities for communal feasting. Pay attention to the predictions Bliege Bird et al. (2001) derive from the costly signaling hypotheses and how they are tested. I have also assigned  Hawkes and Bliege Bird because they review Zahavi&#8217;s handicap principle, link it to the analysis of chimpanzee hunting by Mitani and Watts (Lecture 2) and  to Veblen&#8217;s classic analysis of conspicuous consumption. Finally, Hawkes and Bliege Bird (2002) argue that  reciprocal altruism fails as an explanation of most human sharing patterns because pair-wise exchanges for large meat packages have not been demonstrated. These are important arguments and you should be clear about them before the second exam. If you are not familiar with modern arguments linking conspicuous consumption and sexual selection in humans,  have a look at Geoffrey Miller&#8217;s prize winning essay <a href="http://www.unm.edu/~psych/faculty/waste.htm" target="_blank">Waste is Good</a>. This essay should be especially interesting to those of you majoring in psychology or marketing.</strong></p>
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<p><strong>Bliege Bird, R., Smith, E. A., and Bird, D. W. 2001. The hunting handicap: costly signaling in human foraging strategies. Behav Ecol Sociobiol 50:9-19.</strong></p>
<p><strong>Hawkes, K. and Bliege Bird, R. 2002 Showing off, handicap signaling, and the evolution of men&#8217;s work. Evol Anthro 11: 58-67. </strong></p>
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<p><strong>Bird, R. 1999. Cooperation and conflict: The behavioral ecology of the sexual division of labor. Evol Anthro 8(2): 65-75.</strong></p>
<p><strong>Smith, E. A., Bliege Bird, R. and Bird, D. W. 2003. The benefits of costly signaling: Meriam turtle hunters. Behav Ecol 14(1):116-126. </strong></p>
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<h2 class="form">File: Lecture 12 Juvenile Foraging</h2>
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<p class="style18">ANTH 4962 The Evolution of the Human Diet</p>
<p class="style19">Lecture 12 </p>
<p class="style19">Juvenile Foraging </p>
<p class="style23">University of Utah Fall 2005 Helen Alvarez</p>
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<div align="center"><img src="Fall 2006/Lectures/Lect12Kids_Foraging folder/Lect12Kids_Foraging/KungTwoKids.jpg" width="375" height="550"></div>
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<p align="center" class="style20">Overlapping Generations</p>
<p align="center" class="style21">photo by Marjorie Shostak @ </p>
<p>http://www.anthrophoto.com/</p>
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<p align="left"><strong>Unlike  other primate females, human mothers have overlapping dependents, a new child is born before the previous child becomes independent. A number of hypotheses have been developed to explain who feeds a women and her child when her foraging returns are constrained by child care. As illustrated in this photo and those in previous lectures, women  take their nursing infants with them but here you see a !Kung women from the Dobe area carrying two of her dependents plus the food she has just gathered. </strong></p>
<p align="left"><strong>In the early versions of the man the hunter hypotheses, investigators imagined that women with dependent children remained in a central place caring for children while men provisioned the family with large game. A more recent hypothesis  links the evolution of long juvenile dependencies to food sharing between older female kin and young dependents (see O&#8217;Connell et al 1999). In environments of low extrinsic mortality  young animals can risk devoting more time to personal growth, growing longer and larger before maturing. In the mosaic habitats of the Plio-Pleistocene boundary mothers and children were able to move into new habitats because long-lived grandmothers helped provision weaned infants. In turn the benefits of provisioning increased longevity genes in  these populations, further reducing average adult mortalities and promoting later age of maturity. It is late age of maturity that provides long juvenile periods. The consequence of selection for longevity may well be long learning periods but as always we should be careful to separate cause and consequence in evolutionary puzzles. The authors assigned in this lecture review these arguments over and over. Be sure you understand the different hypotheses because they are all related to the occupation of new habitats, the provisioning of juveniles, the evolution of the human diet, and the evolution of longevity in our lineage. </strong></p>
<p align="left"><strong>By now you have ample evidence, from ethnographic studies, demonstrating that the man the hunter scenario under-estimates the work of women who forage for themselves and their children even when  diets are supplemented by widely shared resources provided by hunting men. The second proposition of the hunting scenario, that human children are dependent until they become adults is true for the !Kung and some South American subsistence horticulturists but quantitative studies of other foragers demonstrate that young children and juveniles provide some of their own resources. Differences across habitats and subsistence strategies are indicators that juvenile strategies might be structured by ecology and physical development and not by learned capabilities. The differences, across habitats, bear upon the modern version of the man the hunter proposal, the embodied capital hypothesis, which proposes that the long juvenile period in humans evolved in response to the value of a long period of learning for mastering adult foraging skills. Once individuals, males in this particular hypothesis, master hunting skills they are able to provision mates and juvenile dependents. The evidence that children can be effective foragers at a young age challenges this proposition. The various explanations for the evolution of our unique life histories are well rehearsed in the assigned readings for this lecture.</strong></p>
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<div align="center" class="style20">Hadza Children&#8217;s Foraging</div>
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<p align="left"><strong>Hadza children as young as 5 years old forage near camp for resources to supplement their diets. In certain seasons,  children are left at home when mothers, carrying only nursing infants, go to dig tubers. Detailed observations reported in Blurton Jones, Hawkes and O&#8217;Connell (1989) showed that infants older than 2 1/2 years  rarely accompany mothers to tuber foraging patches. Children left in camp forage on tubers growing near the surface, the honey of stingless bees, and baobab fruits. The latter fruits have high processing costs as the pods need to be cracked and the pith pounded into a dry powder. This powder is moistened with water or eaten dry with water. The seeds can be cracked and the kernels eaten raw. In spite of  high processing costs, children aged 5-10 years can gain 629 cal/h from baobab, while those 10-15 get about 1014 cal/h. However children do not allocate many minutes to foraging so it would be a mistake to imagine that Hadza children entirely support themselves. Honey is mostly taken by  boys between the ages of 12-15 if one can get an axe to chop out the nest. Honey yields about 339 cal/h but boys who accompany women on foraging trips often acquire 650-1350 calories on these trips. Blurton Jones et al. (1989 p 380) estimate that &#8220;If children spent just 2 hours per day foraging for baobab, or (for older boys with access to an axe) honey, they would acquire around 800-1000 calories, almost half the calories they need.&#8221; </strong></p>
<p align="left"><strong>In a subsequent field season, the same research team completed time allocation studies to determine how mothers change their own foraging patterns in response to opportunities presented by resources they can gather with their children (Hawkes, O&#8217;Connell and Blurton Jones 1995).  Contrary to the expectation from optimal foraging theory that  mothers  choose foraging patches that optimize their own return rates, they found that women, in certain seasons, choose to forage in berry patches with their children instead of traveling to patches to collect tubers.  Mothers maximize team foraging rates by focusing on resources that children can gather with adults. &#8220;If higher rates of food acquisition are advantageous to women because with higher rates they can feed children more, or feed more children, then when children are active foragers themselves a woman&#8217;s children will consume food at a higher rate if she chooses the strategy that maximizes the team rate she and her children earn collectively, <em>even if the rate she earns herself is less than the maximum possible </em>(Hawkes et al.1995 p 695 emphasis original).&#8221; The team rates achieved for mothers and children depend upon the number of children and the time allocated to foraging. The more children a mother has the higher the team rate. If the team forages for longer than 556 mins, berries are the best choice.  If a women wants to maximize her own return rate collecting tubers she needs to forage for an additional 2.5 hours. Over the  mean length of observed trips,  women and children do best focusing on berries. The foraging strategies of mothers and kids might have been influenced by the scarcity of baobab fruit during the late dry season of 1988 when the time allocation studies were completed.</strong></p>
<p align="left"><strong> In spite of children&#8217;s abilities to forage for themselves around the Hadza camp, they still depend upon mothers. The time allocation data show a significant difference between foraging time for children with co-resident mothers and those without. Notice on Table 2, copied from Hawkes et al. (1995), that an 8 year old girl with no mother or father in camp spent more time foraging than any other child. In a sample of 20 juveniles, aged 3.5 to 17 years old, 9 had no coresident mother in camp.</strong></p>
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<div align="center"><strong><span class="style22">Table 2 </span></strong></div>
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<p align="left"><strong>The caloric returns children achieve from their own foraging efforts depend upon the resources they target. The two types of tubers, <em>Makalita </em> and <em>//ekwa</em>, gathered by children yield 73 to 85 Cal/100 g and children over  the ages of 7 and 8 can gather 598  and 314 g/hr, respectively, of these two resources gaining about 200 calories for 29 mins of digging <em>Makalita</em>. When children accompany mothers to the berry patch they can gain from 964 to 2,223 Cal/hr depending upon which berry, <em>Salvadora persica</em> or <em>Cordia </em>sp.  they are picking. Children gain about 50-70% of the adult rate picking <em>S. persica</em> berries, Table 6 (Hawkes et al. 1995). Since <em>Cordia </em>berries were not fully ripe until the end of the observation period, rates by age were not available for the berries yielding the higher caloric return. There are two important take home points from the Hadza field work on children&#8217;s foraging. 1) Hadza children&#8217;s foraging choices are consistent with optimal foraging theory predictions, near camp children generally choose to forage on the tubers with the highest caloric return just as they do in the berry patch. Before <em>Cordia</em> berries ripened children picked berries giving a lower return but once the Cordia ripened they ignored <em>S. persica </em> berries even though they were still available. 2) Mothers adjust their foraging strategies to include resources their children can gather. In berry picking season mothers forego tuber picking, where they earn high returns, to travel long distances to berry patches in order to maximize the team rates they can gain with their children. </strong></p>
<p align="left"><strong>The stashing rate shown in Table 6 is defined as the &#8220;total weight of fruit accumulated for transport per hour  in the resource patch. They represent the minimum rate that would have been taken had foragers eaten none of the berries they picked (Hawkes et al. 1995 p 693).&#8221; Actual picking rates are a combination of eating and stashing rates. The last column is an attempt to measure the amount of time spent picking, the stashing rate and consumption rates are added and divided by the tin measured rate. The results show that women are the most steady pickers and men, boys and children the least effective. Men may have spent more time in the berry patch in this particular field season as &#8220;hunting was poor(only eight large animals taken over 43 days of direct observation)(Hawkes et al. 1995 p 689.).&#8221; Men pick at very high rates but they also consume at a high rate so their stashing rate is lower than that of women and girls.</strong></p>
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<p align="left"><strong>The foraging efforts of Hadza youngsters stand in sharp contrast to those of Dobe !Kung children who do almost no foraging. Instead !Kung children contribute to their own subsistence by cracking mongongo nuts carried home from distant patches by their mothers. Hawkes, O&#8217;Connell and Blurton Jones (1995) attribute the difference to the scarcity, in the Kalahari, of near camp resources that children can gather and the high, dry season temperatures and lack of water that preclude taking children on long walks to the nut groves. Instead !Kung mothers and kids do better if toddlers and older youngsters stay in camp and crack nuts that mothers have carried home. Recall the topographic differences between Hadza country and the Kalahari with no prominent landmarks to guide children from foraging sites to home camps. Blurton Jones et al. (1989) suggested that the harsh dry season temperatures keep !Kung children from foraging with mothers and the danger of getting lost in the flat environment restrain children from foraging alone near camp.</strong></p>
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<div align="center"><strong>Juvenile Foraging Size or Experience? </strong></div>
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<p align="left"><strong>At both of their field sites, Mer Island and the Western Desert of Australia,  Douglas and Rebecca Bliege Bird conducted quantitative studies of juvenile foragers to determine if optimal foraging theory could explain choices made by children. At both sites they found that children take resources that give them high rates of caloric return as predicted by theory but their foraging returns are constrained because the  rate at which they encounter resources is determined by size and walking speed rather than  age or experience. Their evidence indicates that physical abilities rather than learned capabilities determine juvenile foraging strategies.  </strong></p>
<p align="left"><strong>On Mer Island,  mixed-age groups of children, independent of adults, forage on the reef flats after school or on weekends. On these trips they collect some of the same resources collected by adults but they encounter them at a lower rate so their overall returns, in the patch, are not reduced by stopping to take smaller shellfish such as black lipped conch and small top-shell. Post encounter processing costs of the large shellfish are  higher for children because they do not have the upper body strength to cut out and remove edible flesh from the largest shells. These differences, between adults and children in physical strength rather than skill, explain why children take resources ignored by adults. Further Bliege Bird and Bird, in Children on the reef (2002), suggest that children are very efficient at extracting meat from small shells because they can more easily reach in the small valve openings with their small fingers to pull out the meat. </strong></p>
<p align="left"><strong>Mer children also fish,  from the beach, a foraging strategy requiring some skill. Across the Torres Strait islands, Meriam kids are known for their skill in hand-line beach fishing. Children begin as young as five years old and quickly master the technique. After an initial steep rise in efficiency there is little effect of age on efficiency. However, at every age there are large differences in individual skill and efficiency such that most of the variation in this task is explained by individual differences with one 62 year old man out-ranking all others in return rate. Figure 1 taken from Bliege Bird and Bird (2002b) illustrates the scatter  and the large disparity when a very good older fisherman (the open circle top right) is included in the analysis. Residuals of overall return rates are plotted on the y axis to remove the effects of varying sample numbers across foragers. In spite of the title, return rates are calculated from both small-hook and large-hook fishing methods. Men and children of both sexes choose large-hook fishing and women choose small-hook. One difference between children and adults is that children usually have fewer choices of line size. From the figure, we might conclude that only the most skilled children choose to hand-line fish but without knowing the proportion of children who choose to fish it would be impossible to say the sample is self selected by only the best children.</strong></p>
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<div align="center"><strong><span class="style22">Figure 1 Age effects on large-hook beach fishing efficiency </span></strong></div>
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<div align="center"><strong><span class="style22">Martu Children&#8217;s Hunting </span></strong></div>
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<p align="left"><strong>Martu (sometimes Mardu) children of Northwest Australia are often left at home when mothers hunt goanna lizards in the sand hill flats but these children are active forages in patches distinct from those targeted by their mothers. Bird and Bliege Bird (2005) argue that size determines the <img src="Fall 2006/Lectures/Lect12Kids_Foraging folder/Lect12Kids_Foraging/Mardu_Girls.png" width="216" height="145" align="left">rate at which foragers encounter prey in the two patches. Adults are able to move at faster speeds across the sand flats  encountering goanna at about .90 items/hour searching whereas children would encounter prey in this same patch at .68 items/hour because of their slower walking speeds. Larger children gain nearly the same caloric gain foraging on the sand plain as in rocky outcrops but smaller children do much better on the rocky outcrops, 448 kcal/hour  compared to 385 kcal/hour on the sand plain. The authors suggest children forage in patches that minimize time and effort expended. &#8220;Although the gross foraging return rates are the same, foraging in sandhills as compared to rocky outcrops requires 2.3 times greater time investment and 2.2 times more walking as does rocky outcrop foraging for only 1.3 times as many calories per hour (Bird and Bliege Bird 2005 p 142).&#8221; The young girls in this picture, copyright Rebecca Bird from her home page at Stanford, are holding a small lizard they have dug from a rocky outcrop burrow. </strong></p>
<p align="left"><strong>The analyses, of Martu children&#8217;s foraging success, was designed to tease apart the factors which influence foraging choices of juveniles. The regression plots show that height has a larger effect on return rates than age (compare Figs 6.2 and 6.3). The proponents of the embodied capital hypothesis for the evolution of human life histories propose that the long human juvenile period evolved to provide a long period of subsidized dependence during which children forego supporting themselves in favor of learning the foraging skills that are later cashed out as productive adults. In this scenario juvenile dependency is subsidized by paternal support of wives and children. Bird and Bliege Bird show youngsters can be effective foragers using the same tools and techniques as their mothers but foraging in different patches. Since within patch encounter rates constrain juvenile choices, size not experience makes a difference to children&#8217;s effectiveness. These results are important because they undercut the proposition that long juvenile periods, in humans, evolved in response to the value of learning adult foraging skills. Instead they support the proposition that long juvenile periods evolved in response to the benefits of growing larger before maturing. </strong></p>
<p align="left"><strong>The question remains, why don&#8217;t children forage longer hours? The work effort of the 8 year old Hadza girl with no co-resident parents suggests children are capable of longer work hours. It is possible that children allocate energy to  fogging effort while still conserving energy for growth. Humans are determinate growers which means we reach skeletal maturation and hence most of our adult height about the time of sexual maturity. Bliege Bird and Bird (2002a) suggest that foraging efficiency increases after puberty because both males and females have greater opportunity to enhance  fitness gains from foraging efficiency. During the thousands of years spent subsisting on wild resources, males excelled in male-male competition through costly signaling of hunting ability and providing resources for public consumption. In this same niche, females promoted their own reproductive success by gathering low variance resources to support their dependent children and grandchildren. Foraging efficiency increases at puberty in response to natural selection on females and sexual selection on males. </strong></p>
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<p align="left"><strong>In Growing Up Mikea, Tucker and Young (2005) review the various arguments for the long juvenile period in human life histories and report detailed time allocation studies of Mikea tuber foraging. They emphasize what you have learned earlier in this lecture, the cost of children varies across habitats. In the dry woodland forest of Madagascar, where the Mikea live there are few dangers for children foraging in the  woodland, no poisonous snakes or large predators and plenty of shade to moderate temperatures. Even though the Mikea practice a mixed subsistence economy that includes subsistence farming and herding, trade, and cash labor they still collect wild resources. Figure 7.2 shows that children spend much more time in leisure activities than other age classes but by adolescence young people spend as much time working as do married adults. Notice also that adult males and females allocate nearly the same proportion of daylight hours to food production. Among children, boys allocate nearly twice the time to food production as do girls but these figures change when allocation to tuber foraging is measured. Adolescent girls devote more time than any other age group to this task (Figure 7.3). Still across all foragers net acquisition rates increase with age and men achieve significantly higher rates than women but Table 7.2 shows that daily returns for men are low because they spend 1/3 the time that women spend foraging for tubers. </strong></p>
<p align="left"><strong>In the early dry season, Mikea children actively forage with adults and mothers,  who suffer no decline in foraging efficiency when accompanied by children. Notice in Figure 7.8 that adult females forage in groups with children and adolescents more frequently than do adult males. In certain seasons adults and children forage in the same patch but when patches near home are depleted in the largest tubers adults range further to exploit new patches while children stay in the older patches harvesting smaller tubers that lie close to the surface. The ovy tuber, collected by the Mikea, grows in sandy soil so digging and collecting is relatively easy. The ease of digging ovy combined with its higher energy density produces a net return rate much higher than the tubers collected by the Hadza. Have a look at Table 7.2 and notice that children gain 505 to 537 kcal/hr gathering ovy but they gather only 35-41 minutes/day. The same question arises over and over for children, why don&#8217;t they devote more hours to foraging? Tucker and Young suggest that children are neither rate-maximizers or time-minimizers. Since they are provisioned by adults they are also not energy limited. Instead they forage for the physical and mental challenge and for the social opportunities afforded by mixed age play groups. However the ability of Hadza, Merriam, Martu, and Mikea children to collect resources for themselves suggests that they might be able to support themselves if adult provisioning failed. As illustrated from the detailed Hadza data, children often have no co-resident parents. In such cases orphans must rely on near-relatives, neighbors and their own ingenuity. We expect natural selection to favor strategies, in young mammals, that help them survive maternal accidents. To expect youngsters to forage on the same resources as adults is unreasonable given their size and physical strength. The studies reviewed in this lecture demonstrate that children can be capable foragers depending upon the opportunities in their environment but over all environments, given adult support, they choose to allocate more time to leisure. </strong></p>
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<p><strong>Bird, D. W. and Bliege Bird, R. 2005. Martu children&#8217;s hunting strategies in the western desert, Australia. In Hunter-Gatherer Childhoods: Evolutionary, Developmental and Cultural Perspectives. eds. Hewlett, B. S. and Lamb, M. E. pp. 129-146. New Brunswick NJ: Transaction Publishers. Course Reserves Marriott Library</strong></p>
<p><strong>Tucker, B. and Young, A. G. 2005. Growing up Mikea: Children&#8217;s time allocation and tuber foraging in southwestern Madagascar. In Hunter-Gatherer Childhoods: Evolutionary, Developmental and Cultural Perspectives. eds. Hewlett, B. S. and Lamb, M. E. pp. 147-171. New Brunswick NJ: Transaction Publishers. </strong></p>
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<div align="center"><strong><span class="style22">Also Recommended</span></strong></div>
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<p><strong>Blurton Jones, N. G., Hawkes, K, and O&#8217;Connell, J. F. 1989. Modelling and measuring costs of children in two foraging societies. In Comparative Socioecology: The Behavioural Ecology of Humans and Other Mammals. eds. Standen, V. and  Foley, R. A. pp. 367-390. Oxford: Blackwell Scientific Publications. </strong></p>
<p><strong>Hawkes, K. O&#8217;Connell, J. F. and Blurton Jones, N. G. 1995. Hadza children&#8217; foraging: juvenile dependency, social arrangements, and mobility among hunter-gatherers. Curr Anthro 36(2): 688-700.</strong></p>
<p><strong> Bird D. W. and Bliege Bird, R. 2002a. Children on the reef: Slow learning or strategic foraging? Human Nature 13(2): 269-297. </strong></p>
<p><strong>Bliege Bird, R. and Bird, D. W. 2002b. Constraints of knowing or constraints of growing: Fishing and collecting by the children of Mer. Human Nature 13(2): 239-267.</strong></p>
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<p><P ALIGN="LEFT" STYLE="margin-bottom: 0in">Missing 8-1, 8-2, 9-1, 10-2</P><br />
<P ALIGN="LEFT" STYLE="margin-bottom: 0in"><BR><br />
</P></p>
<p><P ALIGN="LEFT" STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P ALIGN="LEFT" STYLE="margin-bottom: 0in">7-1</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in">Journal of Archaeological Research,<br />
Vol. 9, No. 4, December 2001 ( C 2001)</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations:</P><br />
<P STYLE="margin-bottom: 0in">Paradigms for a New Millennium</P><br />
<P STYLE="margin-bottom: 0in">Jon M. Erlandson1</P><br />
<P STYLE="margin-bottom: 0in">Although aquatic resources are often<br />
seen as central to the development of post-</P><br />
<P STYLE="margin-bottom: 0in">Pleistocene cultural complexity, most<br />
models of human evolution have all but</P></p>
<p><P STYLE="margin-bottom: 0in">ignored the role of aquatic or maritime<br />
adaptations during the earlier stages of</P><br />
<P STYLE="margin-bottom: 0in">human history. When did aquatic<br />
resources, maritime adaptations, and seafaring</P><br />
<P STYLE="margin-bottom: 0in">ﬁrst play a signiﬁcant role in<br />
human evolution? I explore this fundamental question</P><br />
<P STYLE="margin-bottom: 0in">by (1) reviewing various theories on<br />
the subject; (2) discussing a variety of prob-</P><br />
<P STYLE="margin-bottom: 0in">lems that prevent archaeologists from<br />
providing a clear answer; and (3) examining</P><br />
<P STYLE="margin-bottom: 0in">the archaeological record for evidence<br />
of early aquatic resource use or seafaring. I</P><br />
<P STYLE="margin-bottom: 0in">conclude that aquatic resources,<br />
wherever they were both abundant and relatively</P><br />
<P STYLE="margin-bottom: 0in">accessible, have probably always been<br />
used opportunistically by our ancestors.</P><br />
<P STYLE="margin-bottom: 0in">Evidence suggests, however, that<br />
aquatic and maritime adaptations (including</P></p>
<p><P STYLE="margin-bottom: 0in">seafaring) played a signiﬁcantly<br />
greater role in the demographic and geographic</P><br />
<P STYLE="margin-bottom: 0in">expansion of anatomically modern humans<br />
after about 150,000 years ago. Another</P><br />
<P STYLE="margin-bottom: 0in">signiﬁcant expansion occurred<br />
somewhat later in time, with the development of</P><br />
<P STYLE="margin-bottom: 0in">more sophisticated seafaring, ﬁshing,<br />
and marine hunting technologies.</P><br />
<P STYLE="margin-bottom: 0in">KEY WORDS: aquatic resources; human<br />
evolution; maritime societies; coastlines; boats.</P><br />
<P STYLE="margin-bottom: 0in"><br />
INTRODUCTION</P><br />
<P STYLE="margin-bottom: 0in">      The average molluscan ﬂesh is<br />
certainly not very appealing in appearance and the earliest</P><br />
<P STYLE="margin-bottom: 0in">      humans apparently existed for<br />
uncounted millennia before that anonymous hero ate the ﬁrst</P></p>
<p><P STYLE="margin-bottom: 0in">      oyster. In any event, shell<br />
middens of real antiquity are rare or absent in world archaeology</P><br />
<P STYLE="margin-bottom: 0in">      (Meighan, 1969, p. 417).</P><br />
<P STYLE="margin-bottom: 0in">       Central to the success of our<br />
species—measured by our wide geographi-</P><br />
<P STYLE="margin-bottom: 0in">cal range and astounding population<br />
growth—is the combination of human</P><br />
<P STYLE="margin-bottom: 0in">1 Department   of Anthropology,<br />
University of Oregon, Eugene, Oregon 97403-1218; e-mail: jerland@</P><br />
<P STYLE="margin-bottom: 0in">  oregon.uoregon.edu.</P><br />
<P STYLE="margin-bottom: 0in"><br />
           287</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
            1059-0161/01/1200-0287/0   2001 Plenum Publishing<br />
Corporation</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                     C</P><br />
<P STYLE="margin-bottom: 0in">288<br />
                                                       Erlandson</P><br />
<P STYLE="margin-bottom: 0in">intelligence, adaptive ﬂexibility,<br />
and technological sophistication. In a broad his-</P><br />
<P STYLE="margin-bottom: 0in">torical or evolutionary framework,<br />
humans are the ultimate in generalists and</P><br />
<P STYLE="margin-bottom: 0in">opportunists, omnivores who thrived in<br />
the widest range of earthly environments,</P><br />
<P STYLE="margin-bottom: 0in">both natural and cultural. On a planet<br />
whose surface is almost 75% water, where</P><br />
<P STYLE="margin-bottom: 0in">life itself is dependent on water to<br />
survive, and where our ancestors have success-</P></p>
<p><P STYLE="margin-bottom: 0in">fully adapted for at least 2.5 million<br />
years, it has always seemed strange to me that</P><br />
<P STYLE="margin-bottom: 0in">modern anthropological theory has<br />
maintained that aquatic resources and habitats</P><br />
<P STYLE="margin-bottom: 0in">were not systematically used by humans<br />
until relatively recently (e.g., Binford,</P><br />
<P STYLE="margin-bottom: 0in">1968; Cohen, 1977; Osborn, 1977a,b;<br />
Waselkov, 1987; Washburn and Lancaster,</P><br />
<P STYLE="margin-bottom: 0in">1968; Yesner, 1987). As Bass (1972, p.<br />
9) noted “even our land masses are crossed</P><br />
<P STYLE="margin-bottom: 0in">and broken by rivers and streams or<br />
dotted with lakes.” Yet among the 10 major</P><br />
<P STYLE="margin-bottom: 0in">habitats listed by Gamble (1994, pp.<br />
10–11, 1998) as signiﬁcant to our early an-</P><br />
<P STYLE="margin-bottom: 0in">cestors as they spread around the<br />
earth, coastlines, lakeshores, and other aquatic</P><br />
<P STYLE="margin-bottom: 0in">habitats are nowhere to be found.</P></p>
<p><P STYLE="margin-bottom: 0in">       As Washburn and Lancaster (1968,<br />
p. 294) argued more than 30 years ago,</P><br />
<P STYLE="margin-bottom: 0in">many archaeologists still seem to<br />
believe that</P><br />
<P STYLE="margin-bottom: 0in">      During most of human history,<br />
water must have been a major physical and psychological</P><br />
<P STYLE="margin-bottom: 0in">      barrier and the inability to cope<br />
with water is shown in the archaeological record by the</P><br />
<P STYLE="margin-bottom: 0in">      absence of remains of ﬁsh,<br />
shellﬁsh, or any object that required going deeply into water or</P><br />
<P STYLE="margin-bottom: 0in">      using boats. There is no evidence<br />
that resources of river and sea were utilized until this late</P></p>
<p><P STYLE="margin-bottom: 0in">      pre-agricultural period . . . for<br />
early man, water was a barrier and a danger, not a resource.</P><br />
<P STYLE="margin-bottom: 0in">More recently, Yesner (1987, p. 285)<br />
stated categorically that the ”historical fact</P><br />
<P STYLE="margin-bottom: 0in">that maritime resources were not<br />
exploited until relatively late in the prehistoric</P><br />
<P STYLE="margin-bottom: 0in">record has attracted a general<br />
consensus. . . . A real commitment to maritime life-</P><br />
<P STYLE="margin-bottom: 0in">ways did not precede late Upper<br />
Paleolithic times.”</P><br />
<P STYLE="margin-bottom: 0in">       If such statements are accurate,<br />
how did hominids spread around the globe,</P><br />
<P STYLE="margin-bottom: 0in">colonizing much of Africa and Eurasia<br />
by at least a million years ago, without the</P><br />
<P STYLE="margin-bottom: 0in">aid of ﬂoats, boats, or the<br />
capability to cross sizable bodies of water? How did</P></p>
<p><P STYLE="margin-bottom: 0in">they survive in such a wide range of<br />
landscapes when aquatic habitats were such</P><br />
<P STYLE="margin-bottom: 0in">a physical and psychological<br />
impediment? Why would our omnivorous hominid</P><br />
<P STYLE="margin-bottom: 0in">ancestors—problem solvers and keen<br />
observers of the world around them—ignore</P><br />
<P STYLE="margin-bottom: 0in">aquatic resources when hundreds of<br />
highly visible nonhuman predators and omni-</P><br />
<P STYLE="margin-bottom: 0in">vores do not? Why is there so little<br />
archaeological evidence for the use of marine</P><br />
<P STYLE="margin-bottom: 0in">resources until postglacial times, long<br />
after the well-documented maritime colo-</P><br />
<P STYLE="margin-bottom: 0in">nization of island Southeast Asia and<br />
greater Australia? Is it really possible that</P><br />
<P STYLE="margin-bottom: 0in">aquatic resources were virtually<br />
ignored for more than 99% of human history?</P><br />
<P STYLE="margin-bottom: 0in">       I believe the general perception<br />
that humans only began to seriously adapt to</P></p>
<p><P STYLE="margin-bottom: 0in">aquatic environments during the last<br />
15,000 years or so has had a stultifying effect</P><br />
<P STYLE="margin-bottom: 0in">on the evolutionary study of aquatic<br />
adaptations and societies, maritime migrations,</P><br />
<P STYLE="margin-bottom: 0in">and the development of boats and other<br />
seafaring technologies. Such perceptions</P><br />
<P STYLE="margin-bottom: 0in">peripheralize the signiﬁcance of<br />
aquatic habitats in human evolution, relegating</P><br />
<P STYLE="margin-bottom: 0in">them to an essentially incidental role<br />
in the broad-spectrum revolution leading to</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                           289</P><br />
<P STYLE="margin-bottom: 0in">agricultural societies and<br />
civilizations. Thus maritime adaptations appear to play a</P><br />
<P STYLE="margin-bottom: 0in">marginal role in a relatively brief<br />
process during which the human developmental</P><br />
<P STYLE="margin-bottom: 0in">trajectory departed from its natural<br />
course as population growth forced humans</P></p>
<p><P STYLE="margin-bottom: 0in">into increasingly artiﬁcial modes of<br />
subsistence and production.</P><br />
<P STYLE="margin-bottom: 0in">      As Yesner (1987) noted, however,<br />
the picture of aquatic resources as marginal</P><br />
<P STYLE="margin-bottom: 0in">foods of “last resort” is out of<br />
step with historical and archaeological data that</P><br />
<P STYLE="margin-bottom: 0in">suggest that maritime or aquatic<br />
hunter-gatherers were generally more sedentary,</P><br />
<P STYLE="margin-bottom: 0in">populous, and culturally complex than<br />
their terrestrially based interior neighbors</P><br />
<P STYLE="margin-bottom: 0in">(Birdsell, 1953; McCartney, 1975;<br />
Palsson, 1988; Townsend, 1980). Indeed, some</P><br />
<P STYLE="margin-bottom: 0in">of the most complex and artistically<br />
acomplished hunter-gatherers of all time de-</P><br />
<P STYLE="margin-bottom: 0in">veloped in rich marine environments,<br />
including many North Paciﬁc peoples (the</P></p>
<p><P STYLE="margin-bottom: 0in">Tlingit, Haida, Aleut, Koniag, etc.)<br />
who lived adjacent to terrestrial environments</P><br />
<P STYLE="margin-bottom: 0in">relatively unproductive for human<br />
subsistence. Thus, while aquatic resources sup-</P><br />
<P STYLE="margin-bottom: 0in">ported some of the most complex and<br />
populous hunter-gatherer cultures on earth,</P><br />
<P STYLE="margin-bottom: 0in">archaeological evidence for the<br />
antiquity of aquatic resource use was extremely</P><br />
<P STYLE="margin-bottom: 0in">limited. This results in a fundamental<br />
paradox, where supposedly marginal aquatic</P><br />
<P STYLE="margin-bottom: 0in">resources (although often both diverse<br />
and abundant) appear to provide the eco-</P><br />
<P STYLE="margin-bottom: 0in">nomic foundation for relatively complex<br />
societies characterized by high popula-</P><br />
<P STYLE="margin-bottom: 0in">tions and elaborated material cultures.<br />
Despite some notable attempts to account</P><br />
<P STYLE="margin-bottom: 0in">for problematic aspects of such models<br />
(e.g., Osborn, 1977b; Yesner, 1987), this</P></p>
<p><P STYLE="margin-bottom: 0in">aquatic paradox has yet to be<br />
adequately explained or resolved.</P><br />
<P STYLE="margin-bottom: 0in">      In this paper, I discuss some of<br />
these questions and problems by examining</P><br />
<P STYLE="margin-bottom: 0in">the nature and antiquity of aquatic<br />
adaptations. In the process, I address some of the</P><br />
<P STYLE="margin-bottom: 0in">broader implications for our<br />
understanding of human migrations, the evolution of</P><br />
<P STYLE="margin-bottom: 0in">human subsistence and technology, and<br />
current models of optimal foraging theory,</P><br />
<P STYLE="margin-bottom: 0in">human economic intensiﬁcation, and<br />
the broad spectrum revolution. I begin with a</P><br />
<P STYLE="margin-bottom: 0in">short summary of historical thought<br />
about the archaeology of aquatic adaptations,</P><br />
<P STYLE="margin-bottom: 0in">then discuss some epistemological,<br />
methodological, and taphonomic problems</P></p>
<p><P STYLE="margin-bottom: 0in">that currently prevent any real<br />
consensus from being reached about the antiquity of</P><br />
<P STYLE="margin-bottom: 0in">aquatic adaptations. I then review the<br />
archaeological data available on early aquatic</P><br />
<P STYLE="margin-bottom: 0in">resource use and maritime migrations<br />
before discussing the broader implications</P><br />
<P STYLE="margin-bottom: 0in">and some approaches I see as<br />
potentially fruitful for the study of maritime and</P><br />
<P STYLE="margin-bottom: 0in">aquatic adaptations as we embark on our<br />
voyage into the twenty-ﬁrst century.</P><br />
<P STYLE="margin-bottom: 0in">                       A BRIEF HISTORY<br />
OF THOUGHT</P><br />
<P STYLE="margin-bottom: 0in">      The study of coastal and other<br />
aquatic societies has a long history in an-</P><br />
<P STYLE="margin-bottom: 0in">thropology and archaeology, one that<br />
closely reﬂects the general development of</P></p>
<p><P STYLE="margin-bottom: 0in">the two ﬁelds. Despite this long<br />
history, recent decades have seen a lively de-</P><br />
<P STYLE="margin-bottom: 0in">bate about the nature of aquatic<br />
environments, their economic productivity for</P><br />
<P STYLE="margin-bottom: 0in">human societies, and the role they have<br />
played in human evolution (e.g., Bailey,</P><br />
<P STYLE="margin-bottom: 0in">1975, 1978; Binford, 1968; Claassen,<br />
1991, 1998; Erlandson, 1988, 1994; Fischer,</P><br />
<P STYLE="margin-bottom: 0in">290<br />
                                                        Erlandson</P><br />
<P STYLE="margin-bottom: 0in">1995a; Glassow and Wilcoxon, 1988;<br />
Isaac, 1971; Jones, 1991; Moseley, 1975;</P><br />
<P STYLE="margin-bottom: 0in">Osborn, 1977a; Parmalee and Klippel,<br />
1974; Perlman, 1980; Price, 1995; Quilter</P><br />
<P STYLE="margin-bottom: 0in">and Stocker, 1983; Raymond, 1981;<br />
Sauer, 1962; Waselkov, 1987; Washburn and</P><br />
<P STYLE="margin-bottom: 0in">Lancaster, 1968; Wilson, 1981; Yesner,<br />
1980, 1987). Prior to the development of</P></p>
<p><P STYLE="margin-bottom: 0in">the “New Archaeology” of the 1960s<br />
and 1970s, however, there was little or no</P><br />
<P STYLE="margin-bottom: 0in">coherent body of theory on the broader<br />
evolution of aquatic adaptations. The opin-</P><br />
<P STYLE="margin-bottom: 0in">ions expressed on such matters were<br />
generally linked to regional discussions and</P><br />
<P STYLE="margin-bottom: 0in">varied widely (see Clark, 1936, p. 140;<br />
Morgan, 1877; Uhle, 1907). Nonetheless,</P><br />
<P STYLE="margin-bottom: 0in">as Clark (1936) and many others<br />
documented the close association of abundant</P><br />
<P STYLE="margin-bottom: 0in">and widespread shell mounds with<br />
postglacial shorelines, the development of shell</P><br />
<P STYLE="margin-bottom: 0in">middens and relatively intensive<br />
aquatic economies gradually came to symbolize</P><br />
<P STYLE="margin-bottom: 0in">an important component of the<br />
post-Pleistocene broad spectrum revolution (see</P><br />
<P STYLE="margin-bottom: 0in">Bailey, 1978; Binford, 1968). As an<br />
emphasis on theory, method, and broad syn-</P></p>
<p><P STYLE="margin-bottom: 0in">thesis came into vogue in the 1960s and<br />
1970s, moreover, considerable interest</P><br />
<P STYLE="margin-bottom: 0in">focused on more global approaches to<br />
the nature and antiquity of human adapta-</P><br />
<P STYLE="margin-bottom: 0in">tions to aquatic environments.</P><br />
<P STYLE="margin-bottom: 0in">      In 1994, largely for heuristic<br />
purposes, I characterized the more polarized</P><br />
<P STYLE="margin-bottom: 0in">viewpoints in this debate as “Garden<br />
of Eden” versus “Gates of Hell” models</P><br />
<P STYLE="margin-bottom: 0in">(Erlandson, 1994, p. 273). Garden of<br />
Eden theorists, I suggested, saw coastal or</P><br />
<P STYLE="margin-bottom: 0in">aquatic habitats as veritable<br />
cornucopia where a diverse array of foods—essentially</P><br />
<P STYLE="margin-bottom: 0in">inexhaustible and easily harvested—was<br />
available (e.g., Cutting, 1962; Fischer,</P></p>
<p><P STYLE="margin-bottom: 0in">1995a; Hewes, 1968; Morgan, 1877, p.<br />
21; Okladnikov, 1965, pp. 114–115; Sauer,</P><br />
<P STYLE="margin-bottom: 0in">1962). On a global level, such<br />
assertions may best be illustrated by Sauer’s de-</P><br />
<P STYLE="margin-bottom: 0in">scription of the role of the sea in<br />
human evolution.</P><br />
<P STYLE="margin-bottom: 0in">     . . . the path of our evolution<br />
turned aside from the common primate course by going to the</P><br />
<P STYLE="margin-bottom: 0in">     sea. No other setting is as<br />
attractive for the beginnings of humanity. The sea, in particular</P><br />
<P STYLE="margin-bottom: 0in">     the tidal shore, presented the<br />
best opportunity to eat, settle, increase, and learn. It afforded</P><br />
<P STYLE="margin-bottom: 0in">     diversity and abundance of<br />
provisions, continuous and inexhaustible. It gave the congenial</P></p>
<p><P STYLE="margin-bottom: 0in">     ecologic niche in which animal<br />
ethology could become human culture (Sauer, 1962, p. 45).</P><br />
<P STYLE="margin-bottom: 0in">Similar statements linked to speciﬁc<br />
ethnographic accounts for some coastal groups</P><br />
<P STYLE="margin-bottom: 0in">or to regional archaeological sequences<br />
limited to the last 5,000 years were es-</P><br />
<P STYLE="margin-bottom: 0in">poused by a number of authors. Such<br />
glowing assessments often ignored the fact,</P><br />
<P STYLE="margin-bottom: 0in">however, that archaeological records<br />
for the same regions showed little evidence</P><br />
<P STYLE="margin-bottom: 0in">for such aquatic largesse dating back<br />
more than a few millennia. On a global</P><br />
<P STYLE="margin-bottom: 0in">level, moreover, the accumulation of<br />
archaeological data and the development of</P><br />
<P STYLE="margin-bottom: 0in">chronometric dating techniques made<br />
such statements increasingly problematic.</P></p>
<p><P STYLE="margin-bottom: 0in">If aquatic resources were so<br />
productive, why was there relatively little evidence in</P><br />
<P STYLE="margin-bottom: 0in">the archaeological record for their<br />
exploitation until very late in human prehistory?</P><br />
<P STYLE="margin-bottom: 0in">      After the 1960s, following the<br />
lead of Uhle (1907) and others, a number of</P><br />
<P STYLE="margin-bottom: 0in">scholars explicitly asserted that<br />
aquatic habitats and resources, when compared</P><br />
<P STYLE="margin-bottom: 0in">to the hunting of large terrestrial<br />
game, were relatively unproductive for human</P><br />
<P STYLE="margin-bottom: 0in">exploitation (e.g., Bailey, 1978;<br />
Cohen, 1977; Gamble, 1986, pp. 35–36; Hogg</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                                           291</P><br />
<P STYLE="margin-bottom: 0in">et al., 1971; Osborn, 1977a). These<br />
Gates of Hell models articulated nicely with</P></p>
<p><P STYLE="margin-bottom: 0in">the prevailing view of the time that,<br />
prior to the development of agriculture, male-</P><br />
<P STYLE="margin-bottom: 0in">dominated big-game hunting was the<br />
driving force in human physical, cultural,</P><br />
<P STYLE="margin-bottom: 0in">and technological evolution. Shellﬁsh<br />
and other aquatic foods, generally viewed</P><br />
<P STYLE="margin-bottom: 0in">in such models as marginal or even<br />
starvation foods, were portrayed as small and</P><br />
<P STYLE="margin-bottom: 0in">costly to harvest or process, poor<br />
sources of nutrition, relatively unpredictable or</P><br />
<P STYLE="margin-bottom: 0in">unreliable, or requiring high<br />
technological investments (boats, etc.) to access. The</P><br />
<P STYLE="margin-bottom: 0in">fact that collecting shellﬁsh and<br />
other small aquatic foods was primarily women’s</P><br />
<P STYLE="margin-bottom: 0in">work in most ethnographic societies<br />
further marginalized their importance in hu-</P><br />
<P STYLE="margin-bottom: 0in">man economies (Claassen, 1998, p. 175).<br />
Gates of Hell models proposed, there-</P></p>
<p><P STYLE="margin-bottom: 0in">fore, that the archaeological record<br />
accurately reﬂected the low productivity of</P><br />
<P STYLE="margin-bottom: 0in">aquatic resources and the relatively<br />
low value placed on them by many forag-</P><br />
<P STYLE="margin-bottom: 0in">ing peoples. They argue that humans did<br />
not systematically or intensively harvest</P><br />
<P STYLE="margin-bottom: 0in">aquatic resources until the<br />
productivity of terrestrial hunting had been reduced by</P><br />
<P STYLE="margin-bottom: 0in">the intensive harvest pressure of<br />
growing human populations or by the postglacial</P><br />
<P STYLE="margin-bottom: 0in">extinction of the Pleistocene<br />
megafauna. Thus the use of aquatic resources was</P><br />
<P STYLE="margin-bottom: 0in">(and is) often assumed to be evidence<br />
for population pressure and environmental</P><br />
<P STYLE="margin-bottom: 0in">degradation. Osborn, the most ardent<br />
advocate of this position, argued that our an-</P><br />
<P STYLE="margin-bottom: 0in">cestors “ignored” shellﬁsh and<br />
other aquatic resources for 99% of human history</P></p>
<p><P STYLE="margin-bottom: 0in">(Osborn, 1977b, p. 301) and that the<br />
low productivity of marine resources was</P><br />
<P STYLE="margin-bottom: 0in">virtually universal.</P><br />
<P STYLE="margin-bottom: 0in">     . . . marine resources are<br />
low-return subsistence resources due to a need for labor inten-</P><br />
<P STYLE="margin-bottom: 0in">     siﬁcation, in the case of<br />
shellﬁsh and small food package-sized organisms, and due to</P><br />
<P STYLE="margin-bottom: 0in">     their low protein content. A<br />
number of factors combine to create an evolutionary threshold</P><br />
<P STYLE="margin-bottom: 0in">     that is too costly for human<br />
populations to cross unless they are experiencing density-</P><br />
<P STYLE="margin-bottom: 0in">     dependent selection. This<br />
subsistence-related threshold is so costly to cross, in fact, that,</P></p>
<p><P STYLE="margin-bottom: 0in">     given the option, we should expect<br />
to see human groups shift away from the exploita-</P><br />
<P STYLE="margin-bottom: 0in">     tion of the sea, at least in<br />
nonindustrial societies, whenever possible (Osborn, 1977a,</P><br />
<P STYLE="margin-bottom: 0in">     p. 177).</P><br />
<P STYLE="margin-bottom: 0in">      In practice, relatively few<br />
published opinions can easily be categorized into</P><br />
<P STYLE="margin-bottom: 0in">such polarized schemes, and most<br />
scholars generally recognize that the situation</P><br />
<P STYLE="margin-bottom: 0in">is considerably more complex.<br />
Nonetheless, something closer to the Gates of Hell</P><br />
<P STYLE="margin-bottom: 0in">model has heavily inﬂuenced the work<br />
of some of the most inﬂuential scholars who</P></p>
<p><P STYLE="margin-bottom: 0in">have worked with or discussed coastal<br />
or other aquatic archaeological sequences</P><br />
<P STYLE="margin-bottom: 0in">(e.g., Bailey, 1975; Binford, 1968;<br />
Cohen, 1977; Fagan, 2001; Gamble, 1986;</P><br />
<P STYLE="margin-bottom: 0in">Hayden, 1981; Isaac, 1971; Kelly, 1996;<br />
Washburn and Lancaster, 1968).</P><br />
<P STYLE="margin-bottom: 0in">      To square such a dismal view of<br />
the prospects of aquatic peoples with the</P><br />
<P STYLE="margin-bottom: 0in">evidence that many coastal societies<br />
were characterized by relatively high popula-</P><br />
<P STYLE="margin-bottom: 0in">tion densities, sedentism, and cultural<br />
complexity—the coastal paradox—required</P><br />
<P STYLE="margin-bottom: 0in">further explanation. Osborn (1977b)<br />
argued that the population density of aquatic</P><br />
<P STYLE="margin-bottom: 0in">societies was exaggerated because their<br />
offshore territories were not included</P></p>
<p><P STYLE="margin-bottom: 0in">in density calculations, but he could<br />
not resolve the more important issues of</P><br />
<P STYLE="margin-bottom: 0in">sedentism and cultural complexity.<br />
Cohen (1981) argued that the complexity of</P><br />
<P STYLE="margin-bottom: 0in">292<br />
                                    Erlandson</P><br />
<P STYLE="margin-bottom: 0in">Northwest Coast societies was a result<br />
of their high population densities, but</P><br />
<P STYLE="margin-bottom: 0in">never adequately explained how they<br />
attained such high populations in supposedly</P><br />
<P STYLE="margin-bottom: 0in">marginal environments. Yesner (1987)<br />
developed the most explicit and sophisti-</P><br />
<P STYLE="margin-bottom: 0in">cated explanation for the coastal<br />
paradox, arguing that marine and other aquatic</P><br />
<P STYLE="margin-bottom: 0in">environments were relatively<br />
unproductive until the post-Pleistocene period, when</P><br />
<P STYLE="margin-bottom: 0in">a combination of megafaunal<br />
extinctions, climatic amelioration, sea level stabiliza-</P></p>
<p><P STYLE="margin-bottom: 0in">tion, and the development of mature<br />
coastal habitats allowed coastal populations</P><br />
<P STYLE="margin-bottom: 0in">to bloom. Thus, he argued, humans did<br />
not intensively utilize aquatic resources</P><br />
<P STYLE="margin-bottom: 0in">until relatively late in human history,<br />
but the growing productivity of postglacial</P><br />
<P STYLE="margin-bottom: 0in">aquatic habitats ultimately fostered<br />
the high populations, sedentism, and complex-</P><br />
<P STYLE="margin-bottom: 0in">ity typical of many Middle or Late<br />
Holocene coastal societies. Problems with this</P><br />
<P STYLE="margin-bottom: 0in">model include signiﬁcant variation in<br />
the patterns and timing of megafaunal ex-</P><br />
<P STYLE="margin-bottom: 0in">tinction or survival, the considerable<br />
evidence for aquatic adaptations prior to such</P><br />
<P STYLE="margin-bottom: 0in">widespread extinctions, and little<br />
evidence that marine and other aquatic resources</P><br />
<P STYLE="margin-bottom: 0in">were relatively unproductive prior to<br />
sea level stabilization.</P></p>
<p><P STYLE="margin-bottom: 0in">      As we shall see, none of these<br />
explanations adequately accounts for either the</P><br />
<P STYLE="margin-bottom: 0in">basic paradox of supposedly low aquatic<br />
productivity versus high human popula-</P><br />
<P STYLE="margin-bottom: 0in">tions and cultural complexity, or for<br />
the emerging archaeological data that suggest</P><br />
<P STYLE="margin-bottom: 0in">that aquatic adaptations developed<br />
earlier and were more widespread than pre-</P><br />
<P STYLE="margin-bottom: 0in">viously believed. Nor do they explain<br />
how archaeologists armed with essentially</P><br />
<P STYLE="margin-bottom: 0in">identical data sets can come to such<br />
radically different conclusions about the de-</P><br />
<P STYLE="margin-bottom: 0in">velopment of such basic aspects of<br />
human economies. To explore these problems,</P><br />
<P STYLE="margin-bottom: 0in">however, we must ﬁrst review some of<br />
the different perspectives on the nature</P></p>
<p><P STYLE="margin-bottom: 0in">of aquatic resources, then examine some<br />
epistemological problems that inhibit a</P><br />
<P STYLE="margin-bottom: 0in">comprehensive understanding of the<br />
evolution of aquatic adaptations.</P><br />
<P STYLE="margin-bottom: 0in">                             AQUATIC<br />
RESOURCES</P><br />
<P STYLE="margin-bottom: 0in">      Much has been said about the<br />
productivity of various classes of aquatic re-</P><br />
<P STYLE="margin-bottom: 0in">sources: shellﬁsh, ﬁsh, sea<br />
mammals, waterfowl and seabirds, amphibians, plants,</P><br />
<P STYLE="margin-bottom: 0in">and others. I do not review these<br />
arguments in detail, for such a task could easily</P><br />
<P STYLE="margin-bottom: 0in">be the subject of an entire paper. It<br />
is important to my later arguments, however,</P><br />
<P STYLE="margin-bottom: 0in">to examine some of the divergent<br />
opinions expressed about the nature of various</P></p>
<p><P STYLE="margin-bottom: 0in">classes of aquatic resources. Also<br />
signiﬁcant is the fact that aquatic resources are</P><br />
<P STYLE="margin-bottom: 0in">often collectively lumped as “small”<br />
resources, with the unwarranted assumptions</P><br />
<P STYLE="margin-bottom: 0in">that they are therefore less productive<br />
than terrestrial game animals for human</P><br />
<P STYLE="margin-bottom: 0in">subsistence and their presence in<br />
archaeological sites represents de facto evidence</P><br />
<P STYLE="margin-bottom: 0in">for resource stress or economic<br />
intensiﬁcation. In this section, I examine some dis-</P><br />
<P STYLE="margin-bottom: 0in">parate viewpoints about the major<br />
classes of aquatic resources, recognizing that</P><br />
<P STYLE="margin-bottom: 0in">classes of aquatic organisms not<br />
discussed (amphibians, reptiles, insect larvae,</P><br />
<P STYLE="margin-bottom: 0in">plants, etc.) may also be signiﬁcant<br />
resources in some areas.</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                            293</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
Freshwater</P><br />
<P STYLE="margin-bottom: 0in">      Curiously, perhaps the single<br />
most important aquatic resource for humans,</P><br />
<P STYLE="margin-bottom: 0in">freshwater for drinking, is seldom<br />
discussed. This may be because our dependence</P><br />
<P STYLE="margin-bottom: 0in">on water is so fundamental and so<br />
crucial to survival that it is taken for granted. It</P><br />
<P STYLE="margin-bottom: 0in">is signiﬁcant, however, because the<br />
almost daily need for drinking water tethered</P><br />
<P STYLE="margin-bottom: 0in">our ancestors to aquatic habitats for<br />
most of human history. More than any other</P><br />
<P STYLE="margin-bottom: 0in">resource, drinking water determined<br />
where they settled and where they went,</P><br />
<P STYLE="margin-bottom: 0in">especially in relatively arid regions.<br />
Maintaining this crucial lifeline to aquatic</P></p>
<p><P STYLE="margin-bottom: 0in">habitats, hominids would have spent a<br />
great deal of time observing the behavior of</P><br />
<P STYLE="margin-bottom: 0in">animals in such environments, including<br />
many terrestrial and amphibious predators</P><br />
<P STYLE="margin-bottom: 0in">or scavengers that fed on aquatic<br />
animals (see Erlandson and Moss, in press).</P><br />
<P STYLE="margin-bottom: 0in">Under these circumstances, it seems<br />
unlikely that hominid hydrophobia would</P><br />
<P STYLE="margin-bottom: 0in">have prevented similar opportunistic<br />
harvesting of shallow water fauna by some</P><br />
<P STYLE="margin-bottom: 0in">of our earliest ancestors living along<br />
the shores of African lakes. With general</P><br />
<P STYLE="margin-bottom: 0in">similarities between many of the<br />
animals (ﬁsh, shellﬁsh, birds, etc.) that live in</P><br />
<P STYLE="margin-bottom: 0in">lakes, rivers, estuaries, and marine<br />
habitats, it also seems unlikely that a signiﬁcant</P><br />
<P STYLE="margin-bottom: 0in">learning curve would have been required<br />
to transfer such skills between aquatic</P></p>
<p><P STYLE="margin-bottom: 0in">habitats. The intensity of such aquatic<br />
harvesting probably varied tremendously,</P><br />
<P STYLE="margin-bottom: 0in">of course, depending on the relative<br />
productivity of such activities compared to</P><br />
<P STYLE="margin-bottom: 0in">the other subsistence pursuits<br />
available to a group at various times.</P><br />
<P STYLE="margin-bottom: 0in">      As noted above, the notion of a<br />
long-standing inability of hominids to cope</P><br />
<P STYLE="margin-bottom: 0in">with aquatic habitats is also difﬁcult<br />
to reconcile with the fact that our human</P><br />
<P STYLE="margin-bottom: 0in">ancestors now appear to have spread<br />
from Africa into southern Eurasia by about</P><br />
<P STYLE="margin-bottom: 0in">1.7 million years ago. How did they<br />
accomplish such extensive and early migrations</P><br />
<P STYLE="margin-bottom: 0in">if they were afraid of the water and<br />
incapable of either swimming or constructing</P></p>
<p><P STYLE="margin-bottom: 0in">simple rafts, boats, or other ﬂotation<br />
devices?</P><br />
<P STYLE="margin-bottom: 0in"><br />
Shellﬁsh</P><br />
<P STYLE="margin-bottom: 0in">      No class of aquatic resources has<br />
generated more debate among archaeol-</P><br />
<P STYLE="margin-bottom: 0in">ogists than shellﬁsh (e.g., Bailey,<br />
1975, 1978; Buchanan, 1988; Claassen, 1991,</P><br />
<P STYLE="margin-bottom: 0in">1998; Erlandson, 1988, 1991; Glassow<br />
and Wilcoxon, 1988; Jones and Richman,</P><br />
<P STYLE="margin-bottom: 0in">1995; Meehan, 1977, 1982; Meighan,<br />
1969; Moss, 1993; Noli and Avery, 1988;</P><br />
<P STYLE="margin-bottom: 0in">Osborn, 1977a; Parmalee and Klippel,<br />
1974; Quilter and Stocker, 1983; Waselkov,</P><br />
<P STYLE="margin-bottom: 0in">1987; Yesner, 1987). The generic term<br />
shellﬁsh is usually used to refer to a vari-</P></p>
<p><P STYLE="margin-bottom: 0in">ety of aquatic invertebrates, dominated<br />
by molluscs (bivalves and univalves), but</P><br />
<P STYLE="margin-bottom: 0in">also including crabs, sea urchins,<br />
barnacles, shrimp, and other relatively common</P><br />
<P STYLE="margin-bottom: 0in">organisms. Although the size of<br />
shellﬁsh taxa utilized by humans varies consider-</P><br />
<P STYLE="margin-bottom: 0in">ably, from large octopi or giant clams<br />
to very small bivalves or gastropods, most</P><br />
<P STYLE="margin-bottom: 0in">shellﬁsh are relatively small<br />
organisms. What they lack in size, however, many</P><br />
<P STYLE="margin-bottom: 0in">294<br />
                                                            Erlandson</P><br />
<P STYLE="margin-bottom: 0in">shellﬁsh make up for in quantity and<br />
accessibility—many types are found in large</P><br />
<P STYLE="margin-bottom: 0in">and sessile aggregations. While most<br />
shellﬁsh provide nutritious sources of com-</P><br />
<P STYLE="margin-bottom: 0in">plete animal proteins and some vitamins<br />
or minerals, most are relatively low in fat,</P></p>
<p><P STYLE="margin-bottom: 0in">carbohydrates, and calories (see<br />
Sidwell, 1981). Although shellﬁsh beds have of-</P><br />
<P STYLE="margin-bottom: 0in">ten been portrayed by anthropologists<br />
as relatively unproductive, biological studies</P><br />
<P STYLE="margin-bottom: 0in">indicate that mussel beds produce one<br />
of the highest rates of biomass production</P><br />
<P STYLE="margin-bottom: 0in">on earth (Jones and Richman, 1995).</P><br />
<P STYLE="margin-bottom: 0in">      Since at least the early 1900s,<br />
many archaeologists have depicted these diverse</P><br />
<P STYLE="margin-bottom: 0in">and seemingly innocuous creatures as<br />
marginal, secondary, or even starvation foods</P><br />
<P STYLE="margin-bottom: 0in">for humans.</P><br />
<P STYLE="margin-bottom: 0in">     . . . procuring the essentials of<br />
life by collecting shells in itself indicates a low form of human</P></p>
<p><P STYLE="margin-bottom: 0in">     existence. In all parts of the<br />
world, even today, people may be seen on the shore at low water</P><br />
<P STYLE="margin-bottom: 0in">     gathering for food the shells<br />
uncovered by the retreating tide . . . these people always belong</P><br />
<P STYLE="margin-bottom: 0in">     to the lower classes of society<br />
and lead in this manner a primitive as well as a simple life</P><br />
<P STYLE="margin-bottom: 0in">     (Uhle, 1907, p. 31).</P><br />
<P STYLE="margin-bottom: 0in">Some archaeologists bolstered such<br />
arguments with simple comparisons of the</P><br />
<P STYLE="margin-bottom: 0in">nutritional content of shellﬁsh<br />
versus large land mammals. Bailey (1978, p. 39)</P><br />
<P STYLE="margin-bottom: 0in">calculated, for example, that 156,800<br />
cockles were required to provide the caloric</P></p>
<p><P STYLE="margin-bottom: 0in">yield of one red deer. Some of these<br />
comparisons were inaccurate, and others</P><br />
<P STYLE="margin-bottom: 0in">ignored the fact that shellﬁsh may<br />
sometimes have been used primarily as a protein</P><br />
<P STYLE="margin-bottom: 0in">source or that they were often a<br />
relatively predictable and readily available meat</P><br />
<P STYLE="margin-bottom: 0in">source that could be gathered by<br />
virtually all members of society, including women,</P><br />
<P STYLE="margin-bottom: 0in">children, and the elderly (see<br />
Erlandson, 1988; Glassow and Wilcoxon, 1988;</P><br />
<P STYLE="margin-bottom: 0in">Meehan, 1977). The fact that shellﬁsh<br />
gathering was done primarily by women in</P><br />
<P STYLE="margin-bottom: 0in">most ethnographic societies (Claassen,<br />
1998, p. 175; Moss, 1993, p. 632), in fact,</P><br />
<P STYLE="margin-bottom: 0in">suggests that such comparisons of<br />
shellﬁshing versus hunting yields may often be</P><br />
<P STYLE="margin-bottom: 0in">inappropriate.</P></p>
<p><P STYLE="margin-bottom: 0in">      Some scholars have also argued<br />
that the small size of shellﬁsh, their relatively</P><br />
<P STYLE="margin-bottom: 0in">low caloric content, and their<br />
generally high ratio of shell to meat meant that they</P><br />
<P STYLE="margin-bottom: 0in">were relatively laborious to process<br />
(e.g., Osborn, 1977a; Waselkov, 1987). Others</P><br />
<P STYLE="margin-bottom: 0in">countered that they required little<br />
search time or technological investment and</P><br />
<P STYLE="margin-bottom: 0in">could provide highly reliable and<br />
relatively large meat yields that could buffer</P><br />
<P STYLE="margin-bottom: 0in">the high failure rates of hunting<br />
forays (e.g., Jones, 1991; Meehan, 1982). While</P><br />
<P STYLE="margin-bottom: 0in">some researchers extolled shellﬁsh as<br />
an efﬁcient protein source (Erlandson, 1988),</P><br />
<P STYLE="margin-bottom: 0in">others noted that a heavy reliance on<br />
lean shellﬁsh meats could produce “protein</P></p>
<p><P STYLE="margin-bottom: 0in">poisoning” (Noli and Avery, 1988),<br />
and still others pointed out that a reliance</P><br />
<P STYLE="margin-bottom: 0in">on many land mammals (bison, rabbits,<br />
etc.) could produce the same problem</P><br />
<P STYLE="margin-bottom: 0in">(Buchanan, 1988). While some criticized<br />
shellﬁsh as a resource highly susceptible</P><br />
<P STYLE="margin-bottom: 0in">to periodic El Nino, storm, or red tide<br />
events, others pointed out that such problems</P><br />
<P STYLE="margin-bottom: 0in">could sometimes be predicted and<br />
controlled for (Moss, 1993, pp. 640–641) and</P><br />
<P STYLE="margin-bottom: 0in">that agricultural products and other<br />
terrestrial resources were equally susceptible</P><br />
<P STYLE="margin-bottom: 0in">to ﬂoods, droughts, disease, and<br />
other problems (Quilter and Stocker, 1983).</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                           295</P><br />
<P STYLE="margin-bottom: 0in">      Finally, though Osborn (1977a,b)<br />
and others have used ethnographic or</P></p>
<p><P STYLE="margin-bottom: 0in">historical accounts to support the<br />
notion that shellﬁsh were marginal or starvation</P><br />
<P STYLE="margin-bottom: 0in">foods, Moss (1993) clearly exposed the<br />
complexities and potential androcentrism</P><br />
<P STYLE="margin-bottom: 0in">often inherent in such accounts. I was<br />
present during her interview of an elderly</P><br />
<P STYLE="margin-bottom: 0in">Tlingit friend, Richard Newton, who<br />
insisted shellﬁsh were not a major food for</P><br />
<P STYLE="margin-bottom: 0in">his people. Responding to questions<br />
about the incredible abundance of shellﬁsh</P><br />
<P STYLE="margin-bottom: 0in">remains in Tlingit village and camp<br />
sites, however, Mr. Newton eventually char-</P><br />
<P STYLE="margin-bottom: 0in">acterized their dietary role as similar<br />
to bread and butter—long a staple in western</P><br />
<P STYLE="margin-bottom: 0in">society (Moss, 1993, p. 643). When<br />
asked about this contradiction, he patiently</P><br />
<P STYLE="margin-bottom: 0in">explained that the ideal Tlingit man<br />
needed to work hard to succeed, that shellﬁsh</P></p>
<p><P STYLE="margin-bottom: 0in">encouraged laziness because they were<br />
too easy to collect, that they were gathered</P><br />
<P STYLE="margin-bottom: 0in">primarily by women, but that they also<br />
were regularly gathered and consumed</P><br />
<P STYLE="margin-bottom: 0in">by Tlingit men (Moss, 1993). Certain<br />
types of shellﬁsh were especially prized by</P><br />
<P STYLE="margin-bottom: 0in">Tlingit men, in fact, because they were<br />
said to enhance the libido.</P><br />
<P STYLE="margin-bottom: 0in">      All this debate has had little<br />
effect on the pervasive notion that shellﬁsh</P><br />
<P STYLE="margin-bottom: 0in">and other small resources are lower<br />
ranked by human foragers (e.g., Broughton</P><br />
<P STYLE="margin-bottom: 0in">and O’Connell, 1999; Renfrew and<br />
Bahn, 1996, p. 282). Fagan (2001, p. 341)</P><br />
<P STYLE="margin-bottom: 0in">concluded, for instance, that “no one<br />
can believe that mollusks were the staple</P></p>
<p><P STYLE="margin-bottom: 0in">diet” of any ancient society.<br />
Following such assumptions, many archaeologists</P><br />
<P STYLE="margin-bottom: 0in">continue to view the appearance of<br />
shell middens in archaeological sequences</P><br />
<P STYLE="margin-bottom: 0in">as evidence for human demographic<br />
pressure, environmental degradation, and</P><br />
<P STYLE="margin-bottom: 0in">economic intensiﬁcation (e.g., Cohen,<br />
1977; Hayden, 1981; Waselkov, 1987). The</P><br />
<P STYLE="margin-bottom: 0in">postglacial ﬂorescence of shell<br />
middens adjacent to aquatic habitats around the</P><br />
<P STYLE="margin-bottom: 0in">world, therefore, has become<br />
essentially synonymous with the anthropological</P><br />
<P STYLE="margin-bottom: 0in">notion that human economies were<br />
transformed by a global and relatively recent</P><br />
<P STYLE="margin-bottom: 0in">broad-spectrum revolution.</P><br />
<P STYLE="margin-bottom: 0in"><br />
  Fish</P></p>
<p><P STYLE="margin-bottom: 0in">      Similar debates have taken place<br />
over the nature and productivity of ﬁshing</P><br />
<P STYLE="margin-bottom: 0in">(e.g., Butler, 1996; Clark, 1948;<br />
Garson, 1980; Kelly, 1996; Limp and Reidhead,</P><br />
<P STYLE="margin-bottom: 0in">1979; Lindstrom, 1996; Morgan, 1877;<br />
Osborn, 1977b; Rick and Erlandson, 2000).</P><br />
<P STYLE="margin-bottom: 0in">Literally thousands of different<br />
varieties of ﬁsh inhabit the wide range of aquatic</P><br />
<P STYLE="margin-bottom: 0in">habitats, from the deep abyssal ﬂoors<br />
of the oceans to high mountain lakes. Even as</P><br />
<P STYLE="margin-bottom: 0in">adults, these ﬁsh range in size from<br />
tiny gobies to the gigantic whale shark. Some are</P><br />
<P STYLE="margin-bottom: 0in">largely solitary and relatively rare,<br />
while others are incredibly abundant and swim</P><br />
<P STYLE="margin-bottom: 0in">in concentrated schools numbering in<br />
the millions. Some aquatic communities,</P></p>
<p><P STYLE="margin-bottom: 0in">moreover, are characterized by a<br />
diversity and abundance of ﬁsh; others contain</P><br />
<P STYLE="margin-bottom: 0in">only one or two species and even these<br />
are relatively rare. Still other communities</P><br />
<P STYLE="margin-bottom: 0in">have low species diversity but a<br />
relatively high piscine biomass.</P><br />
<P STYLE="margin-bottom: 0in">      The nutritional value of ﬁsh<br />
also varies considerably, especially the fat and</P><br />
<P STYLE="margin-bottom: 0in">calorie content of various species.<br />
Although generally low in carbohydrates, ﬁsh</P><br />
<P STYLE="margin-bottom: 0in">296<br />
                                                         Erlandson</P><br />
<P STYLE="margin-bottom: 0in">are a relatively nutritious source of<br />
protein, vitamins, and minerals (Sidwell, 1981;</P><br />
<P STYLE="margin-bottom: 0in">Watt and Merrill, 1975). Fish eggs,<br />
which can sometimes be harvested in large</P></p>
<p><P STYLE="margin-bottom: 0in">quantities, are also generally very<br />
high in protein and calories. Fish ﬂesh and protein</P><br />
<P STYLE="margin-bottom: 0in">are also highly digestible and<br />
metabolized more efﬁciently by the human body</P><br />
<P STYLE="margin-bottom: 0in">than the meat of land mammals. High<br />
rates of ﬁsh consumption in modern human</P><br />
<P STYLE="margin-bottom: 0in">populations—especially certain ﬁsh<br />
oils—also seems to be generally correlated</P><br />
<P STYLE="margin-bottom: 0in">with lower rates of disease and greater<br />
longevity.</P><br />
<P STYLE="margin-bottom: 0in">      Opinions expressed about the<br />
economic productivity of ﬁshing vary widely.</P><br />
<P STYLE="margin-bottom: 0in">Some accounts have portrayed ﬁshing<br />
as an extremely productive activity, begin-</P><br />
<P STYLE="margin-bottom: 0in">ning with Morgan’s idealized<br />
statement that “Fish were universal in distribution,</P></p>
<p><P STYLE="margin-bottom: 0in">unlimited in supply, and the only kind<br />
of food at all times attainable” (Morgan,</P><br />
<P STYLE="margin-bottom: 0in">1877, p. 21). In contrast, in comparing<br />
ﬁshing to more traditional hunting activities,</P><br />
<P STYLE="margin-bottom: 0in">Kelly (1996, p. 209) stated that</P><br />
<P STYLE="margin-bottom: 0in">     . . . ﬁsh are different. Some<br />
species, especially surface feeders, will give away their presence,</P><br />
<P STYLE="margin-bottom: 0in">     but not bottom feeders. And ﬁsh<br />
cannot be tracked—this is a particular problem in exploiting</P><br />
<P STYLE="margin-bottom: 0in">     oceanic ﬁsh. The forager can<br />
only go to a likely place to ﬁnd ﬁsh, then begin searching</P><br />
<P STYLE="margin-bottom: 0in">     randomly. If there are no ﬁsh<br />
there, the forager could waste quite a bit of time before</P></p>
<p><P STYLE="margin-bottom: 0in">     accepting this as likely.</P><br />
<P STYLE="margin-bottom: 0in">Kelly’s characterization, however, is<br />
at odds with many types of marine ﬁshing,</P><br />
<P STYLE="margin-bottom: 0in">including the extremely productive and<br />
predictable ﬁshing that can characterize</P><br />
<P STYLE="margin-bottom: 0in">halibut or cod banks, kelp beds, and<br />
some other nearshore habitats.</P><br />
<P STYLE="margin-bottom: 0in">      Others have argued that ﬁshing<br />
requires relatively sophisticated knowledge</P><br />
<P STYLE="margin-bottom: 0in">and high technological investments.<br />
Experimental work by Limp and Reidhead</P><br />
<P STYLE="margin-bottom: 0in">(1979) suggested, however, that under<br />
the right circumstances riverine ﬁshing</P><br />
<P STYLE="margin-bottom: 0in">could be extremely productive even<br />
without complex technologies. In some aquatic</P></p>
<p><P STYLE="margin-bottom: 0in">habitats, the seasonal drying of ponds<br />
or pools can strand ﬁsh in shallow water or</P><br />
<P STYLE="margin-bottom: 0in">on mud ﬂats where they can be easily<br />
collected. In some lakes, periodic hypersaline</P><br />
<P STYLE="margin-bottom: 0in">or anoxic conditions can also lead to<br />
massive ﬁsh kills in which large windrows</P><br />
<P STYLE="margin-bottom: 0in">of dead ﬁsh are deposited on the<br />
beach (e.g., Butler, 1996, p. 701). Quilter and</P><br />
<P STYLE="margin-bottom: 0in">Stocker (1983, p. 549) described an<br />
apparently regular Peruvian phenomenon</P><br />
<P STYLE="margin-bottom: 0in">known as “anchovy beaching,” in<br />
which hundreds of thousands of small ﬁsh strand</P><br />
<P STYLE="margin-bottom: 0in">themselves on the beach roughly four<br />
times a year. Spawning ﬁsh (salmon, herring,</P><br />
<P STYLE="margin-bottom: 0in">lamprey eels, grunion, and many others)<br />
also can be highly vulnerable to human</P><br />
<P STYLE="margin-bottom: 0in">predation, and such spawning runs are<br />
often highly predictable, facilitating the</P></p>
<p><P STYLE="margin-bottom: 0in">logistical planning required for mass<br />
harvesting and the processing of ﬁsh for</P><br />
<P STYLE="margin-bottom: 0in">storage.</P><br />
<P STYLE="margin-bottom: 0in">      Even when more sophisticated<br />
technologies are required to capture ﬁsh,</P><br />
<P STYLE="margin-bottom: 0in">these need not be especially elaborate<br />
or expensive to produce. Dip nets or small</P><br />
<P STYLE="margin-bottom: 0in">tidal weirs, for instance, can greatly<br />
facilitate the mass harvest of small ﬁsh in</P><br />
<P STYLE="margin-bottom: 0in">truly impressive yields. Before<br />
commercial overexploitation devastated many of</P><br />
<P STYLE="margin-bottom: 0in">California’s marine ﬁsheries,<br />
enormous schools of sardines and anchovies were</P><br />
<P STYLE="margin-bottom: 0in">available in nearshore and estuarine<br />
habitats. With the aid of boats and dip nets,</P></p>
<p><P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                          297</P><br />
<P STYLE="margin-bottom: 0in">huge quantities of these small ﬁsh<br />
could be captured quickly and easily dried for</P><br />
<P STYLE="margin-bottom: 0in">later consumption. Still, considering<br />
the lack of evidence for weaving techniques</P><br />
<P STYLE="margin-bottom: 0in">prior to the advent of the Upper<br />
Paleolithic, even relatively simple ﬁshing tech-</P><br />
<P STYLE="margin-bottom: 0in">nologies involving cordage, baskets,<br />
nets, or composite projectiles may have been</P><br />
<P STYLE="margin-bottom: 0in">beyond the capabilities of hominids<br />
prior to the appearance of anatomically mod-</P><br />
<P STYLE="margin-bottom: 0in">ern humans. And some ﬁshing<br />
activities—especially those requiring large nets,</P><br />
<P STYLE="margin-bottom: 0in">sophisticated boats, or elaborate weir<br />
structures—would have required consider-</P><br />
<P STYLE="margin-bottom: 0in">able investment in materials, labor,<br />
and maintenance, as well as intellectual and</P></p>
<p><P STYLE="margin-bottom: 0in">communication skills that may have been<br />
beyond the capabilities of our archaic</P><br />
<P STYLE="margin-bottom: 0in">ancestors.</P><br />
<P STYLE="margin-bottom: 0in">       Despite such technological<br />
constraints, a number of cultural ecological stud-</P><br />
<P STYLE="margin-bottom: 0in">ies have modeled the productivity of<br />
various ﬁshing activities relative to alterna-</P><br />
<P STYLE="margin-bottom: 0in">tive terrestrial subsistence pursuits<br />
(e.g., Osborn, 1977b; Perlman, 1980; Simms,</P><br />
<P STYLE="margin-bottom: 0in">1987). Some of these estimates are<br />
based on incomplete data or the use of inap-</P><br />
<P STYLE="margin-bottom: 0in">propriate technologies in potentially<br />
depleted modern environments, but they are</P><br />
<P STYLE="margin-bottom: 0in">still informative, suggesting that the<br />
productivity of ﬁshing varies tremendously.</P></p>
<p><P STYLE="margin-bottom: 0in">The most sophisticated analysis of<br />
which I am aware is Lindstrom’s study of the</P><br />
<P STYLE="margin-bottom: 0in">Truckee River ﬁshery in the western<br />
Great Basin (Lindstrom, 1996), which sug-</P><br />
<P STYLE="margin-bottom: 0in">gests that ﬁshing harvests using a<br />
number of different aboriginal techniques were</P><br />
<P STYLE="margin-bottom: 0in">higher than the return rates calculated<br />
by Simms (1987) for terrestrial hunting.</P><br />
<P STYLE="margin-bottom: 0in">Lindstrom’s projected return rates<br />
varied considerably, however, and some meth-</P><br />
<P STYLE="margin-bottom: 0in">ods of ﬁshing produced yields that<br />
were considerably less productive than many</P><br />
<P STYLE="margin-bottom: 0in">terrestrial alternatives.</P><br />
<P STYLE="margin-bottom: 0in"><br />
Aquatic Mammals</P></p>
<p><P STYLE="margin-bottom: 0in">       There has also been considerable<br />
debate about the nature, antiquity, and eco-</P><br />
<P STYLE="margin-bottom: 0in">nomic productivity of aquatic mammal<br />
use, especially marine mammals such as</P><br />
<P STYLE="margin-bottom: 0in">whales, seals, sea lions, sirenians<br />
(sea cow, manatees, etc.), and sea otters (e.g.,</P><br />
<P STYLE="margin-bottom: 0in">Clark, 1946, 1947; Colten and Arnold,<br />
1998; Erlandson et al., 1998; Hildebrandt</P><br />
<P STYLE="margin-bottom: 0in">and Jones, 1992; Jones and Hildebrandt,<br />
1995; Lyman, 1995; Osborn, 1977b;</P><br />
<P STYLE="margin-bottom: 0in">Workman and McCartney, 1998). Aquatic<br />
habitats also are home to a variety of</P><br />
<P STYLE="margin-bottom: 0in">freshwater animals (hippopotami,<br />
beavers, otters, etc.) of various sizes, which</P><br />
<P STYLE="margin-bottom: 0in">spend varying amounts of time in the<br />
water and, like some marine mammals, may</P></p>
<p><P STYLE="margin-bottom: 0in">sometimes be taken on land. Some<br />
aquatic mammals are also not easily catego-</P><br />
<P STYLE="margin-bottom: 0in">rized as clearly marine or freshwater:<br />
some seals or dolphins swim considerable</P><br />
<P STYLE="margin-bottom: 0in">distances up rivers; seals live<br />
permanently in Lake Baikal, the Caspian Sea, and</P><br />
<P STYLE="margin-bottom: 0in">other European lakes (Reeves et al.,<br />
1992); some manatees are equally at home in</P><br />
<P STYLE="margin-bottom: 0in">salt- or freshwater habitats; and river<br />
otters and other typically freshwater mammals</P><br />
<P STYLE="margin-bottom: 0in">may also spend time in brackish or<br />
saltwater habitats.</P><br />
<P STYLE="margin-bottom: 0in">       Clearly most aquatic mammals are<br />
not small resources. They include many</P><br />
<P STYLE="margin-bottom: 0in">of the largest animals on earth, which<br />
until devastated by commercial whaling or</P></p>
<p><P STYLE="margin-bottom: 0in">298<br />
                                     Erlandson</P><br />
<P STYLE="margin-bottom: 0in">hunting also were relatively abundant<br />
along many of the world’s coastlines. Many</P><br />
<P STYLE="margin-bottom: 0in">marine mammals weigh well over 500 kg,<br />
with the largest whales weighing over</P><br />
<P STYLE="margin-bottom: 0in">100,000 kg. Osborn (1977b) argued that<br />
most aquatic mammals occupy positions</P><br />
<P STYLE="margin-bottom: 0in">relatively high in the food chain,<br />
which limits their numbers relative to the primary</P><br />
<P STYLE="margin-bottom: 0in">productivity of the world’s oceans.<br />
Such global modeling probably had little or</P><br />
<P STYLE="margin-bottom: 0in">no relevance, however, to maritime<br />
peoples such as the Koniag or Aleut, who</P><br />
<P STYLE="margin-bottom: 0in">lived in proximity to biannual<br />
migrations of hundreds of thousands of whales and</P><br />
<P STYLE="margin-bottom: 0in">pinnipeds (see Haggarty et al., 1991).</P></p>
<p><P STYLE="margin-bottom: 0in">      Like virtually all mammals, the<br />
meat and organs of aquatic mammals are</P><br />
<P STYLE="margin-bottom: 0in">relatively rich sources of nutrients,<br />
high in protein, vitamins, and minerals (see</P><br />
<P STYLE="margin-bottom: 0in">Heller and Scott, 1967; Osborn, 1977b;<br />
Sidwell, 1981). Many aquatic (especially</P><br />
<P STYLE="margin-bottom: 0in">marine) mammals also have a thick layer<br />
of subcutaneous blubber that provides</P><br />
<P STYLE="margin-bottom: 0in">them with insulation and human hunters<br />
with a rich source of fat and calories. These</P><br />
<P STYLE="margin-bottom: 0in">fat deposits can also be rendered into<br />
oil that may be stored for later consumption</P><br />
<P STYLE="margin-bottom: 0in">or used in lamps as a source of heat<br />
and light. The skins, bones, teeth, ivory, and</P><br />
<P STYLE="margin-bottom: 0in">baleen of many aquatic animals also<br />
provide valuable raw materials used in a</P></p>
<p><P STYLE="margin-bottom: 0in">variety of technologies (houses, boats,<br />
clothing, tools, ornaments, etc.). Among</P><br />
<P STYLE="margin-bottom: 0in">many societies that actively pursue<br />
large aquatic mammals, successful hunters may</P><br />
<P STYLE="margin-bottom: 0in">also gain signiﬁcant status,<br />
prestige, and possibly even reproductive advantages.</P><br />
<P STYLE="margin-bottom: 0in">      Such potentially lucrative<br />
economic payoffs must be measured against the</P><br />
<P STYLE="margin-bottom: 0in">costs and risks of procuring aquatic<br />
mammals. Sea mammal hunting can be a dan-</P><br />
<P STYLE="margin-bottom: 0in">gerous and seasonal pursuit, especially<br />
in offshore marine settings, and successful</P><br />
<P STYLE="margin-bottom: 0in">hunting forays are often relatively<br />
rare. Like ﬁshing, some forms of aquatic hunting</P><br />
<P STYLE="margin-bottom: 0in">may also require relatively complex and<br />
expensive technology, including seawor-</P></p>
<p><P STYLE="margin-bottom: 0in">thy boats and related hunting gear that<br />
represent a signiﬁcant investment of energy</P><br />
<P STYLE="margin-bottom: 0in">to produce and maintain. This is<br />
particularly true for many types of sea hunting</P><br />
<P STYLE="margin-bottom: 0in">recorded among ethnographic marine<br />
hunters. Many of these peoples had high</P><br />
<P STYLE="margin-bottom: 0in">population densities and had hunted sea<br />
mammals for millennia, however, with</P><br />
<P STYLE="margin-bottom: 0in">negative effects on the distribution<br />
and density of local prey populations (Jones and</P><br />
<P STYLE="margin-bottom: 0in">Hildebrandt, 1995; Lyman, 1995). Prior<br />
to such impacts, many pinnipeds may have</P><br />
<P STYLE="margin-bottom: 0in">been taken relatively easily while<br />
hauled out in breeding or birthing colonies on</P><br />
<P STYLE="margin-bottom: 0in">islands or other isolated coastal<br />
locales. Where abundant, scavenging of cetacean</P><br />
<P STYLE="margin-bottom: 0in">and pinniped carcasses off the beach<br />
could also provide large (and potentially</P></p>
<p><P STYLE="margin-bottom: 0in">huge) subsistence dividends, with<br />
minimal technological or search costs (Smith</P><br />
<P STYLE="margin-bottom: 0in">and Kinahan, 1983). Finally, the costs<br />
of manufacturing and maintaining boats</P><br />
<P STYLE="margin-bottom: 0in">must be measured against the greater<br />
overall efﬁciency achieved in a variety of</P><br />
<P STYLE="margin-bottom: 0in">hunting, ﬁshing, and transportation<br />
activities.</P><br />
<P STYLE="margin-bottom: 0in">      As with virtually all classes of<br />
aquatic and terrestrial resources, there is con-</P><br />
<P STYLE="margin-bottom: 0in">siderable variability in the<br />
characteristics of aquatic mammals and their economic</P><br />
<P STYLE="margin-bottom: 0in">potential. This includes aspects of<br />
their biology and behavior, their abundance and</P><br />
<P STYLE="margin-bottom: 0in">availability to humans, the methods<br />
used to procure them, and the relative produc-</P></p>
<p><P STYLE="margin-bottom: 0in">tivity of various procurement<br />
strategies versus subsistence alternatives. Given this</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                          299</P><br />
<P STYLE="margin-bottom: 0in">diversity, it should be no surprise<br />
that different researchers have reached quite dif-</P><br />
<P STYLE="margin-bottom: 0in">ferent conclusions about the general<br />
role of aquatic mammals in human economies.</P><br />
<P STYLE="margin-bottom: 0in">In recent discussions, for instance,<br />
various researchers have viewed sea mam-</P><br />
<P STYLE="margin-bottom: 0in">mals as either central or peripheral to<br />
the development of maritime adaptations</P><br />
<P STYLE="margin-bottom: 0in">along the Paciﬁc Coast of North<br />
America. Hildebrandt and Jones (1992; Jones</P><br />
<P STYLE="margin-bottom: 0in">and Hildebrandt, 1995) proposed that<br />
because of their large size and vulnerability</P><br />
<P STYLE="margin-bottom: 0in">to predation in rookeries, some seals<br />
and sea lions were the focus of early ma-</P></p>
<p><P STYLE="margin-bottom: 0in">rine hunters, with later technological<br />
developments (boats, etc.) representing labor</P><br />
<P STYLE="margin-bottom: 0in">intensiﬁcation as human impacts on<br />
pinniped populations increased and hunting</P><br />
<P STYLE="margin-bottom: 0in">strategies changed. Colten and Arnold<br />
(1998) and Erlandson et al. (1998) noted</P><br />
<P STYLE="margin-bottom: 0in">little evidence for an early focus on<br />
pinniped hunting in the area, however, and</P><br />
<P STYLE="margin-bottom: 0in">suggested that its general economic<br />
importance may have been overemphasized</P><br />
<P STYLE="margin-bottom: 0in">(see also Kent, 1989, p. 5; Workman and<br />
McCartney, 1998, p. 362). Central to</P><br />
<P STYLE="margin-bottom: 0in">resolving such debates are problems<br />
related to recovering and interpreting repre-</P><br />
<P STYLE="margin-bottom: 0in">sentative samples of sea mammal remains<br />
and estimating their dietary contribution</P><br />
<P STYLE="margin-bottom: 0in">within the larger economies of human<br />
societies.</P></p>
<p><P STYLE="margin-bottom: 0in">                           PROBLEMS IN<br />
PARADIGMS</P><br />
<P STYLE="margin-bottom: 0in">       Underlying such debates, but<br />
often pushed well into the background, is the</P><br />
<P STYLE="margin-bottom: 0in">ambiguity of the archaeological record<br />
itself. In some cases, diverging opinions</P><br />
<P STYLE="margin-bottom: 0in">have been supported with data from<br />
different regions. In others, nearly opposite</P><br />
<P STYLE="margin-bottom: 0in">conclusions were drawn from virtually<br />
the same archaeological record. How is</P><br />
<P STYLE="margin-bottom: 0in">it possible for researchers to reach<br />
such different conclusions based on the anal-</P><br />
<P STYLE="margin-bottom: 0in">ysis of the same body of data? The<br />
answer to that question lies in a variety of</P><br />
<P STYLE="margin-bottom: 0in">taphonomic, methodological,<br />
interpretive, and theoretical problems that make our</P></p>
<p><P STYLE="margin-bottom: 0in">reconstructions of the history of<br />
aquatic societies fraught with uncertainties. The</P><br />
<P STYLE="margin-bottom: 0in">divergence of opinions about the<br />
antiquity of aquatic adaptations can be attributed</P><br />
<P STYLE="margin-bottom: 0in">to a variety of problems with the<br />
archaeological record itself, to differences in</P><br />
<P STYLE="margin-bottom: 0in">the way individual archaeologists<br />
believe the record should be interpreted, and to</P><br />
<P STYLE="margin-bottom: 0in">differences in the preconceptions of<br />
various researchers.</P><br />
<P STYLE="margin-bottom: 0in"><br />
Deﬁnitions</P><br />
<P STYLE="margin-bottom: 0in">       In part, different opinions can<br />
be attributed to the general lack of deﬁni-</P><br />
<P STYLE="margin-bottom: 0in">tion for what constitutes a dietary<br />
staple, systematic or intensive resource use,</P></p>
<p><P STYLE="margin-bottom: 0in">or terms such as coastal, aquatic,<br />
littoral, or maritime adaptations (Workman and</P><br />
<P STYLE="margin-bottom: 0in">McCartney, 1998). Deﬁnitions for<br />
coastal or maritime adaptations have varied, for</P><br />
<P STYLE="margin-bottom: 0in">instance, from those groups who procure<br />
some portion of their sustenance from</P><br />
<P STYLE="margin-bottom: 0in">the sea to those who go to sea in boats<br />
and rely on other specialized technologies.</P><br />
<P STYLE="margin-bottom: 0in">Recognizing the complexity and<br />
diversity inherent in northern cultures, Fitzhugh</P><br />
<P STYLE="margin-bottom: 0in">300<br />
                                        Erlandson</P><br />
<P STYLE="margin-bottom: 0in">(1975, p. 344) tried to bring some<br />
order to the classiﬁcation of maritime societies</P><br />
<P STYLE="margin-bottom: 0in">by deﬁning ﬁve broad adaptive<br />
types: modiﬁed interior, interior-maritime, mod-</P><br />
<P STYLE="margin-bottom: 0in">iﬁed marine, maritime, and riverine.<br />
In his work on the Oregon coast, Lyman</P></p>
<p><P STYLE="margin-bottom: 0in">(1991) differentiated littoral from<br />
maritime adaptations, the latter representing</P><br />
<P STYLE="margin-bottom: 0in">groups who went to sea to obtain much<br />
of their sustenance. Finally, in an attempt</P><br />
<P STYLE="margin-bottom: 0in">to operationalize the deﬁnition of<br />
maritime societies for anthropologists, Yesner</P><br />
<P STYLE="margin-bottom: 0in">(1980, p. 728) deﬁned “fully<br />
maritime” peoples as those obtaining at least 50% of</P><br />
<P STYLE="margin-bottom: 0in">their calories or protein from marine<br />
sources. This deﬁnition is easily adapted to</P><br />
<P STYLE="margin-bottom: 0in">riverine or lacustrine peoples, but in<br />
practice it is difﬁcult to accurately or precisely</P><br />
<P STYLE="margin-bottom: 0in">quantify the dietary contribution of<br />
aquatic versus terrestrial resources. Isotopic</P><br />
<P STYLE="margin-bottom: 0in">and trace element studies of human bone<br />
have improved our ability to quantify</P><br />
<P STYLE="margin-bottom: 0in">general aspects of ancient diets, but a<br />
variety of problems (diagenesis, varying</P></p>
<p><P STYLE="margin-bottom: 0in">photosynthetic pathways, etc.) continue<br />
to limit such studies.</P><br />
<P STYLE="margin-bottom: 0in">      At times, we must even confront<br />
the issue of what constitutes an aquatic</P><br />
<P STYLE="margin-bottom: 0in">versus terrestrial resource. How do we<br />
classify a salmon or other anadromous ﬁsh</P><br />
<P STYLE="margin-bottom: 0in">that may be caught in the ocean one<br />
week, in a river or lake the next week, or</P><br />
<P STYLE="margin-bottom: 0in">scavenged from the shoreline the next?<br />
How do we classify the beaver, hippopota-</P><br />
<P STYLE="margin-bottom: 0in">mus, crocodile, land otter, or many<br />
other animals that spend a good deal of time</P><br />
<P STYLE="margin-bottom: 0in">in aquatic habitats but may also be<br />
captured on land? Are seabirds (or their eggs)</P><br />
<P STYLE="margin-bottom: 0in">taken from terrestrial colonies aquatic<br />
or terrestrial resources? What about seals</P></p>
<p><P STYLE="margin-bottom: 0in">or sea lions taken from onshore<br />
rookeries? Finally, how do we classify a deer or</P><br />
<P STYLE="margin-bottom: 0in">elk captured—as they were sometimes<br />
taken along the Northwest Coast of North</P><br />
<P STYLE="margin-bottom: 0in">America—while swimming to or from<br />
islands (Tveskov, 2000, p. 131) or nearly</P><br />
<P STYLE="margin-bottom: 0in">paralyzed by the cold on the beach just<br />
after such a swim? It might be argued that</P><br />
<P STYLE="margin-bottom: 0in">such ambiguous cases are relatively<br />
unusual, but I suspect they are more com-</P><br />
<P STYLE="margin-bottom: 0in">mon than many of us recognize, and they<br />
blur the arbitrary distinctions already</P><br />
<P STYLE="margin-bottom: 0in">drawn between aquatic and terrestrial<br />
resources or marine, estuarine, riverine, and</P><br />
<P STYLE="margin-bottom: 0in">lacustrine habitats. If such<br />
ambiguities can be recognized in modern habitats and</P><br />
<P STYLE="margin-bottom: 0in">behaviors, moreover, how can we hope to<br />
differentiate between such ambiguous</P></p>
<p><P STYLE="margin-bottom: 0in">cases in the archaeological record?</P><br />
<P STYLE="margin-bottom: 0in">    Changing Sea Levels, Coastal<br />
Erosion, and the Archaeological Record</P><br />
<P STYLE="margin-bottom: 0in">      Despite such ambiguities, the<br />
single greatest problem in evaluating the his-</P><br />
<P STYLE="margin-bottom: 0in">tory of aquatic adaptations lies in the<br />
fact that sea and lake levels have varied</P><br />
<P STYLE="margin-bottom: 0in">tremendously over the past 2 million<br />
years, and erosion during high stands has</P><br />
<P STYLE="margin-bottom: 0in">repeatedly obliterated the<br />
archaeological record where evidence for early aquatic</P><br />
<P STYLE="margin-bottom: 0in">resource use is most likely to be<br />
found. Sea level today is among the highest of the</P><br />
<P STYLE="margin-bottom: 0in">Quaternary, exceeded only by Last<br />
Interglacial levels about 6 m higher than today.</P></p>
<p><P STYLE="margin-bottom: 0in">Many scholars are rightfully hesitant<br />
to assume that Pleistocene shell middens</P><br />
<P STYLE="margin-bottom: 0in">were once widespread along submerged<br />
shorelines. Geologically, however, there</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                              301</P><br />
<P STYLE="margin-bottom: 0in">is ample reason to believe the<br />
archaeological record of coastal adaptations is se-</P><br />
<P STYLE="margin-bottom: 0in">riously underrepresented (Kraft et al.,<br />
1983). During the last glacial about 20,000</P><br />
<P STYLE="margin-bottom: 0in">years ago, world sea levels stood<br />
between about 100 and 125 m below present,</P><br />
<P STYLE="margin-bottom: 0in">exposing broad coastal plains around<br />
the world that have virtually all been inun-</P><br />
<P STYLE="margin-bottom: 0in">dated as seas rose to their present<br />
levels. Similar cycles have occurred numerous</P><br />
<P STYLE="margin-bottom: 0in">times during the Plio-Pleistocene,<br />
causing enormous and highly variable changes</P></p>
<p><P STYLE="margin-bottom: 0in">in coastal geography around the world.</P><br />
<P STYLE="margin-bottom: 0in">      Worldwide, only Africa and<br />
Eurasia were occupied by hominids when sea</P><br />
<P STYLE="margin-bottom: 0in">levels were last comparable to today.<br />
Along such Old World coastlines, the Last In-</P><br />
<P STYLE="margin-bottom: 0in">terglacial sea stand of 125,000–130,000<br />
years ago cut erosional platforms that may</P><br />
<P STYLE="margin-bottom: 0in">have destroyed most evidence for<br />
earlier coastal occupations. In fact, each time</P><br />
<P STYLE="margin-bottom: 0in">global sea levels have risen<br />
signiﬁcantly the record of hominid occupation associ-</P><br />
<P STYLE="margin-bottom: 0in">ated with lower shorelines has either<br />
been inundated, destroyed by coastal erosion,</P><br />
<P STYLE="margin-bottom: 0in">or both. Even today, with sea level<br />
roughly 6 m below the Last Interglacial high,</P></p>
<p><P STYLE="margin-bottom: 0in">many important coastal sites (e.g.,<br />
Klasies River Mouth caves, Gorham’s Cave,</P><br />
<P STYLE="margin-bottom: 0in">Grotta dei Moscerini, Daisy Cave)<br />
occupied between about 125,000 and 10,000</P><br />
<P STYLE="margin-bottom: 0in">years ago are being destroyed by marine<br />
erosion. Uplifted shorelines associated</P><br />
<P STYLE="margin-bottom: 0in">with earlier interglacials are present<br />
in some areas, but the periods of sea level</P><br />
<P STYLE="margin-bottom: 0in">maxima represent just a small fraction<br />
of the Pleistocene. It should be no surprise</P><br />
<P STYLE="margin-bottom: 0in">that associated occupation sites (e.g.,<br />
Terra Amata) are rare. Much more common</P><br />
<P STYLE="margin-bottom: 0in">are localities such as those in North<br />
Africa and the Levant, where Lower Paleolithic</P><br />
<P STYLE="margin-bottom: 0in">artifacts (hand axes, etc.) have been<br />
found redeposited on raised marine terraces,</P><br />
<P STYLE="margin-bottom: 0in">testifying to the destruction of<br />
ancient sites located in coastal or pericoastal settings</P></p>
<p><P STYLE="margin-bottom: 0in">(e.g., Bar-Yosef, 1994; Howe, 1967).</P><br />
<P STYLE="margin-bottom: 0in">      Equally important for<br />
understanding the evolution of coastal and aquatic</P><br />
<P STYLE="margin-bottom: 0in">adaptations are the effects of sea<br />
level change on the paleogeography of coastal</P><br />
<P STYLE="margin-bottom: 0in">localities. As sea levels rise or fall,<br />
coastlines move laterally in response to such</P><br />
<P STYLE="margin-bottom: 0in">changes; the environmental setting of<br />
archaeological sites can change dramatically.</P><br />
<P STYLE="margin-bottom: 0in">Reconstructions at coastal sites with<br />
long occupational sequences have shown</P><br />
<P STYLE="margin-bottom: 0in">that the exploitation territories of<br />
many sites located on the modern coast were</P><br />
<P STYLE="margin-bottom: 0in">entirely terrestrial during earlier<br />
occupations (e.g., Parkington, 1981; Shackleton</P></p>
<p><P STYLE="margin-bottom: 0in">and van Andel, 1980). The maximum<br />
lateral movements of coastlines during the</P><br />
<P STYLE="margin-bottom: 0in">last 20,000 years, for instance, have<br />
varied from as much as 1000 km in some</P><br />
<P STYLE="margin-bottom: 0in">areas (e.g., northern Australia) to<br />
less than 1 km in others. Areas where shorelines</P><br />
<P STYLE="margin-bottom: 0in">have moved less than about 10 km are<br />
unusual and tend to be strongly correlated</P><br />
<P STYLE="margin-bottom: 0in">with relatively early evidence for<br />
coastal occupations (Erlandson, in press; see</P><br />
<P STYLE="margin-bottom: 0in">ahead). Reconstructing the<br />
paleogeography in the vicinity of coastal sites is crucial,</P><br />
<P STYLE="margin-bottom: 0in">because a cave or open site located on<br />
the coast today may have been 5, 10, 50 km,</P><br />
<P STYLE="margin-bottom: 0in">or more from the coast at various times<br />
during the last 25,000–125,000 years.</P><br />
<P STYLE="margin-bottom: 0in">Study of modern coastal<br />
hunter-gatherers suggests that they rarely travel more</P></p>
<p><P STYLE="margin-bottom: 0in">than about 5 or 10 km from a home base<br />
to gather foods (Bigalke, 1973, p. 161;</P><br />
<P STYLE="margin-bottom: 0in">Meehan, 1982). When they do hunt or<br />
forage further aﬁeld, the skeletal remains of</P><br />
<P STYLE="margin-bottom: 0in">302<br />
                                         Erlandson</P><br />
<P STYLE="margin-bottom: 0in">shellﬁsh, ﬁsh, or sea mammals are<br />
often not transported back to a residential base.</P><br />
<P STYLE="margin-bottom: 0in">In most situations, therefore, sites<br />
located more than about 5–10 km from an ancient</P><br />
<P STYLE="margin-bottom: 0in">shoreline are unlikely to contain<br />
substantial evidence for marine resource use.</P><br />
<P STYLE="margin-bottom: 0in">Distances of even 1 or 2 km can<br />
dramatically reduce the density of aquatic faunal</P><br />
<P STYLE="margin-bottom: 0in">remains (Wing, 1977). During periods of<br />
shoreline transgression or regression,</P><br />
<P STYLE="margin-bottom: 0in">the intensity of aquatic resource use<br />
at any given site should ﬂuctuate depending</P></p>
<p><P STYLE="margin-bottom: 0in">on its proximity to coastal habitats.<br />
After the dramatic postglacial sea level rise</P><br />
<P STYLE="margin-bottom: 0in">of the last 17,000 years, coastal sites<br />
with long occupational sequences may show</P><br />
<P STYLE="margin-bottom: 0in">evidence for an intensiﬁcation of<br />
marine resource use related primarily to changes</P><br />
<P STYLE="margin-bottom: 0in">in local environments rather than a<br />
regional diversiﬁcation or intensiﬁcation of</P><br />
<P STYLE="margin-bottom: 0in">human subsistence (see Bailey, 1983a;<br />
Parkington, 1981; Shackleton, 1988).</P><br />
<P STYLE="margin-bottom: 0in">      Some may argue that the loss of<br />
early coastal sites can be mitigated by ex-</P><br />
<P STYLE="margin-bottom: 0in">amining the antiquity of the human use<br />
of lacustrine or riverine resources, but two</P><br />
<P STYLE="margin-bottom: 0in">problems inhibit such comparisons.<br />
First, it is not clear that the productivity and</P></p>
<p><P STYLE="margin-bottom: 0in">diversity of most freshwater habitats<br />
is comparable to marine or estuarine commu-</P><br />
<P STYLE="margin-bottom: 0in">nities. Second, it is not clear if the<br />
archaeological record of riverine or lacustrine</P><br />
<P STYLE="margin-bottom: 0in">habitats is any more representative.<br />
Such freshwater environments are also highly</P><br />
<P STYLE="margin-bottom: 0in">dynamic, and climatic, glacial, and sea<br />
level changes have had profound effects</P><br />
<P STYLE="margin-bottom: 0in">on their structure and productivity.<br />
Fluctuating lake levels also are common, and</P><br />
<P STYLE="margin-bottom: 0in">shoreline erosion can produce<br />
geological features essentially identical to marine</P><br />
<P STYLE="margin-bottom: 0in">shorelines. In riverine systems,<br />
moreover, erosive cycles can rapidly destroy sites</P><br />
<P STYLE="margin-bottom: 0in">while depositional cycles can bury them<br />
under large quantities of sediment. Thus</P><br />
<P STYLE="margin-bottom: 0in">preservation and visibility problems<br />
may be just as signiﬁcant in some freshwater</P></p>
<p><P STYLE="margin-bottom: 0in">systems as they are in marine<br />
environments.</P><br />
<P STYLE="margin-bottom: 0in">               Differential<br />
Preservation, Recovery, and Reporting</P><br />
<P STYLE="margin-bottom: 0in">      Another problem lies in the<br />
differential preservation, recovery, and reporting</P><br />
<P STYLE="margin-bottom: 0in">of organic remains. As we all know, the<br />
shell and bone remains that constitute</P><br />
<P STYLE="margin-bottom: 0in">the primary record of human use of<br />
aquatic resources are not preserved in many</P><br />
<P STYLE="margin-bottom: 0in">archaeological sites. Acidic soils, for<br />
instance, or the gradual action of humic</P><br />
<P STYLE="margin-bottom: 0in">acids in neutral soils, commonly lead<br />
to the deterioration of shells and bones</P><br />
<P STYLE="margin-bottom: 0in">in archaeological sites. In<br />
comparatively recent sites, especially those occupied</P></p>
<p><P STYLE="margin-bottom: 0in">by relatively sedentary peoples, the<br />
accumulation of substantial shell middens can</P><br />
<P STYLE="margin-bottom: 0in">mitigate the effects of soil acidity or<br />
other factors that lead to the destruction of shell</P><br />
<P STYLE="margin-bottom: 0in">or bone. For the Paleolithic or<br />
Paleoindian periods, however, when most scholars</P><br />
<P STYLE="margin-bottom: 0in">believe humans were relatively mobile,<br />
the shell in many low-density middens may</P><br />
<P STYLE="margin-bottom: 0in">have been insufﬁcient to counteract<br />
soil acidity. The same may be true of pericoastal</P><br />
<P STYLE="margin-bottom: 0in">or other sites located some distance<br />
from aquatic habitats, where the density of</P><br />
<P STYLE="margin-bottom: 0in">aquatic food remains was limited by<br />
transportation costs. My experiments with</P><br />
<P STYLE="margin-bottom: 0in">shells and bones exposed to dilute acid<br />
solutions also showed that shells generally</P><br />
<P STYLE="margin-bottom: 0in">deteriorate faster than bones, probably<br />
due to their higher calcium carbonate and</P></p>
<p><P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                          303</P><br />
<P STYLE="margin-bottom: 0in">lower collagen or lipid content. At a<br />
number of archaeological sites, including</P><br />
<P STYLE="margin-bottom: 0in">Hidden Falls in southeast Alaska<br />
(Erlandson, 1989, p. 139) and Die Kelders in</P><br />
<P STYLE="margin-bottom: 0in">South Africa (Goldberg, 2000),<br />
moreover, researchers found bone still recoverable,</P><br />
<P STYLE="margin-bottom: 0in">while shells had either disintegrated<br />
or were too deteriorated to recover or identify.</P><br />
<P STYLE="margin-bottom: 0in">In the case of Die Kelders, despite the<br />
fact that calcareous rock was abundant in the</P><br />
<P STYLE="margin-bottom: 0in">site strata, decalciﬁcation<br />
completely destroyed the shellﬁsh remains in portions</P><br />
<P STYLE="margin-bottom: 0in">of the site while bone fragments were<br />
still relatively well preserved.</P><br />
<P STYLE="margin-bottom: 0in">      Among animal bones alone, the<br />
denser and thicker bones of large land mam-</P></p>
<p><P STYLE="margin-bottom: 0in">mals are more likely to be preserved in<br />
most archaeological contexts (see Butler</P><br />
<P STYLE="margin-bottom: 0in">and Chatters, 1994). There has been<br />
relatively little experimentation on the compar-</P><br />
<P STYLE="margin-bottom: 0in">ative survivability of skeletal remains<br />
from terrestrial versus aquatic vertebrates,</P><br />
<P STYLE="margin-bottom: 0in">but differential bone density is a<br />
signiﬁcant factor in preservation. The bones of</P><br />
<P STYLE="margin-bottom: 0in">aquatic vertebrates generally have<br />
lower densities and are probably more suscep-</P><br />
<P STYLE="margin-bottom: 0in">tible to chemical dissolution and<br />
mechanical breakdown. Except for the teeth of</P><br />
<P STYLE="margin-bottom: 0in">some taxa (sharks, etc.), ﬁsh bones<br />
are especially lightly built and often have very</P><br />
<P STYLE="margin-bottom: 0in">high surface area to volume or mass<br />
ratios, suggesting that they would be highly</P><br />
<P STYLE="margin-bottom: 0in">vulnerable to chemical deterioration.<br />
Some economically important ﬁsh (sharks,</P></p>
<p><P STYLE="margin-bottom: 0in">rays, sturgeon, lamprey eels, etc.)<br />
also have cartilaginous skeletons with very few</P><br />
<P STYLE="margin-bottom: 0in">bony parts, and small bony ﬁsh (i.e.,<br />
sardines, anchovies) are often eaten whole.</P><br />
<P STYLE="margin-bottom: 0in">The bones of many aquatic mammals are<br />
also relatively porous and may be prone</P><br />
<P STYLE="margin-bottom: 0in">to differential deterioration from<br />
mechanical and chemical processes.</P><br />
<P STYLE="margin-bottom: 0in">      Numerous studies clearly show<br />
that the recovery techniques used by archae-</P><br />
<P STYLE="margin-bottom: 0in">ologists dramatically affect the<br />
interpretations drawn from the recovered assem-</P><br />
<P STYLE="margin-bottom: 0in">blages. Studies of faunal recovery, for<br />
instance, show that large proportions of the</P><br />
<P STYLE="margin-bottom: 0in">ﬁsh bone and shellﬁsh remains in<br />
many sites are lost during screening of exca-</P></p>
<p><P STYLE="margin-bottom: 0in">vated sediments through coarser (0.25<br />
in. or larger) mesh sizes (e.g., Erlandson,</P><br />
<P STYLE="margin-bottom: 0in">1994; Garson, 1980; Koloseike, 1968;<br />
Moss, 1989). This is a crucial problem in</P><br />
<P STYLE="margin-bottom: 0in">evaluating the evidence for aquatic<br />
resource use in many early excavation reports,</P><br />
<P STYLE="margin-bottom: 0in">where researchers had limited interest<br />
in subsistence, faunal remains often were not</P><br />
<P STYLE="margin-bottom: 0in">systematically recovered, or ﬁne-screen<br />
samples were not collected. Many inves-</P><br />
<P STYLE="margin-bottom: 0in">tigators now routinely collect faunal<br />
and ﬂoral samples through ﬁne screening and</P><br />
<P STYLE="margin-bottom: 0in">ﬂotation, but others still rely on<br />
cheaper and less systematic recovery techniques.</P><br />
<P STYLE="margin-bottom: 0in">      Because the importance of hunting<br />
or scavenging large game animals has long</P></p>
<p><P STYLE="margin-bottom: 0in">been emphasized, there have sometimes<br />
been biases in the analysis or reporting</P><br />
<P STYLE="margin-bottom: 0in">of other faunal remains from<br />
archaeological sites. In many studies of Middle or</P><br />
<P STYLE="margin-bottom: 0in">Upper Paleolithic subsistence, in fact,<br />
the only subsistence remains reported on are</P><br />
<P STYLE="margin-bottom: 0in">large land mammals (e.g., Barker, 1974;<br />
Wolf, 1988), even in early coastal sites</P><br />
<P STYLE="margin-bottom: 0in">that produced a variety of faunal<br />
remains. Years ago, while visiting early sites in</P><br />
<P STYLE="margin-bottom: 0in">Gibraltar, I was surprised to ﬁnd a<br />
number of blueﬁn tuna and mackeral vertebrae</P><br />
<P STYLE="margin-bottom: 0in">in the Gibraltar Museum, materials<br />
excavated from early Upper Paleolithic strata</P><br />
<P STYLE="margin-bottom: 0in">at Gorham’s Cave. For some reason,<br />
these ﬁsh bones were never mentioned in</P><br />
<P STYLE="margin-bottom: 0in">any of the site publications, even<br />
though reports on mammals, tortoises, birds, and</P></p>
<p><P STYLE="margin-bottom: 0in">shellﬁsh were all published (see<br />
Baden-Powell, 1964; Eastham, 1968; Waechter,</P><br />
<P STYLE="margin-bottom: 0in">304<br />
                                    Erlandson</P><br />
<P STYLE="margin-bottom: 0in">1951, 1964; Zeuner and Sutcliffe,<br />
1964). A similar problem is encountered for the</P><br />
<P STYLE="margin-bottom: 0in">Middle and Upper Paleolithic levels at<br />
Mugharet el‘Aliya, located near Tangier in</P><br />
<P STYLE="margin-bottom: 0in">Morocco (Howe, 1967; Howe and Movius,<br />
1947). One of the few Last Interglacial</P><br />
<P STYLE="margin-bottom: 0in">sites from the south coast of the<br />
Mediterranean, the Paleolithic cave deposits pro-</P><br />
<P STYLE="margin-bottom: 0in">duced seal, ﬁsh, and “a series of”<br />
mollusk remains (Howe and Movius, 1947, p.</P><br />
<P STYLE="margin-bottom: 0in">21). Although vertebrate remains were<br />
not quantiﬁed, they were at least identi-</P><br />
<P STYLE="margin-bottom: 0in">ﬁed (Arambourg, 1967). Description of<br />
the shellﬁsh remains was limited to the</P></p>
<p><P STYLE="margin-bottom: 0in">statement that a “number of mollusks<br />
were found in Layers 5, 6, and 9 of the ar-</P><br />
<P STYLE="margin-bottom: 0in">chaeological deposits in the Mugharet<br />
el‘Aliya, and were submitted to Dr. William</P><br />
<P STYLE="margin-bottom: 0in">J. Clench of the Museum of Comparative<br />
Zoology at Harvard. Nothing of value</P><br />
<P STYLE="margin-bottom: 0in">for our purposes came of this however”<br />
(Briggs, 1967, p. 187).</P><br />
<P STYLE="margin-bottom: 0in">      Such problems may have been due,<br />
in part, to the dearth of specialists who</P><br />
<P STYLE="margin-bottom: 0in">could identify and analyze the remains<br />
of aquatic fauna. They are symptomatic,</P><br />
<P STYLE="margin-bottom: 0in">however, of the lower priority<br />
archaeologists traditionally assigned to resources</P><br />
<P STYLE="margin-bottom: 0in">such as shellﬁsh and ﬁsh that were<br />
considered economically marginal or unimpor-</P></p>
<p><P STYLE="margin-bottom: 0in">tant. In Howe’s synthesis of the<br />
Mugharet el‘Aliya investigations (Howe, 1967),</P><br />
<P STYLE="margin-bottom: 0in">for instance, the description of stone<br />
tools is over 31 pages long, the vertebrate</P><br />
<P STYLE="margin-bottom: 0in">remains are relegated to 5 pages in an<br />
appendix, and the shellﬁsh merit a single</P><br />
<P STYLE="margin-bottom: 0in">short and obscure paragraph.</P><br />
<P STYLE="margin-bottom: 0in">                              The<br />
Hunting Hangover</P><br />
<P STYLE="margin-bottom: 0in">      Even if we can overcome such<br />
analytical hurdles, another serious problem</P><br />
<P STYLE="margin-bottom: 0in">still confronts us. This is the<br />
persistent effect of the ”Man the Hunter” paradigm</P><br />
<P STYLE="margin-bottom: 0in">on archaeology. The historical<br />
overemphasis on hunting as central to early human</P></p>
<p><P STYLE="margin-bottom: 0in">economies has been dealt with at length<br />
elsewhere (e.g., Slocum, 1975; Zihlman,</P><br />
<P STYLE="margin-bottom: 0in">1997). The remnants of this outdated<br />
view are still with us, however, more than a</P><br />
<P STYLE="margin-bottom: 0in">decade after most scholars recognized<br />
that scavenging probably supplied much of</P><br />
<P STYLE="margin-bottom: 0in">the meat early hominids consumed and<br />
that gathering was much more important</P><br />
<P STYLE="margin-bottom: 0in">than recognized in earlier<br />
anthropological models. Comparative anatomy also tells</P><br />
<P STYLE="margin-bottom: 0in">us that human dentition is<br />
fundamentally adapted to omnivory and a relatively</P><br />
<P STYLE="margin-bottom: 0in">eclectic diet (Scott and Turner, 1997,<br />
p. 81). Evolutionary theory tells us that over</P><br />
<P STYLE="margin-bottom: 0in">the long haul species are rarely well<br />
served by excessive specialization. Modern</P><br />
<P STYLE="margin-bottom: 0in">medicine and nutritional studies show<br />
that dietary diversity is fundamental to</P></p>
<p><P STYLE="margin-bottom: 0in">human health, growth, and reproductive<br />
success. And common sense tells us that</P><br />
<P STYLE="margin-bottom: 0in">as our hominid ancestors spread around<br />
the globe, a fundamental part of their</P><br />
<P STYLE="margin-bottom: 0in">success was their ability to adapt to a<br />
variety of environments or situations and</P><br />
<P STYLE="margin-bottom: 0in">their relatively eclectic and<br />
opportunistic subsistence economies.</P><br />
<P STYLE="margin-bottom: 0in">      Nonetheless, many theoretical<br />
discussions of subsistence inappropriately</P><br />
<P STYLE="margin-bottom: 0in">compare the yields of shellﬁshing or<br />
ﬁshing to those of large-game hunting. If</P><br />
<P STYLE="margin-bottom: 0in">many hominids relied heavily on<br />
scavenging rather than hunting, for instance,</P><br />
<P STYLE="margin-bottom: 0in">the relative productivity of gathering<br />
shellﬁsh should be compared to scavenging</P></p>
<p><P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                           305</P><br />
<P STYLE="margin-bottom: 0in">yields in such cases and must have been<br />
higher than previously estimated. Many</P><br />
<P STYLE="margin-bottom: 0in">predictions based on optimal foraging<br />
principles also inappropriately treat early</P><br />
<P STYLE="margin-bottom: 0in">human societies as groups of generic<br />
individuals, ignoring the gender or age-based</P><br />
<P STYLE="margin-bottom: 0in">divisions of labor in hunting and<br />
gathering activities typical of most recent foraging</P><br />
<P STYLE="margin-bottom: 0in">cultures. Even for Holocene peoples,<br />
therefore, comparisons of shellﬁshing and</P><br />
<P STYLE="margin-bottom: 0in">hunting yields to predict dietary<br />
breadth and subsistence choices may be inappro-</P><br />
<P STYLE="margin-bottom: 0in">priate, since large-game hunting was<br />
often a primarily male pursuit, and shellﬁsh</P><br />
<P STYLE="margin-bottom: 0in">and some other aquatic resources were<br />
often collected mostly by women, children,</P></p>
<p><P STYLE="margin-bottom: 0in">and older individuals. There is little<br />
doubt, in fact, that the historical devaluation</P><br />
<P STYLE="margin-bottom: 0in">of shellﬁsh gathering in human<br />
history is related to the fact that it was primarily</P><br />
<P STYLE="margin-bottom: 0in">the work of women or commoners, to an<br />
androcentric fascination with hunting,</P><br />
<P STYLE="margin-bottom: 0in">and to biases in historical and<br />
ethnographic accounts recorded primarily by men</P><br />
<P STYLE="margin-bottom: 0in">(Claassen, 1991, pp. 278–279; Moss,<br />
1993).</P><br />
<P STYLE="margin-bottom: 0in">     Until anthropology transcends some<br />
pervasive misconceptions, the signiﬁ-</P><br />
<P STYLE="margin-bottom: 0in">cance of aquatic adaptations will<br />
continue to be underemphasized in our recon-</P><br />
<P STYLE="margin-bottom: 0in">structions of human evolution. These<br />
misconceptions include (1) the notion that</P></p>
<p><P STYLE="margin-bottom: 0in">large land mammals were virtually<br />
always the most productive and highly ranked</P><br />
<P STYLE="margin-bottom: 0in">resources for our hominid ancestors;<br />
(2) that male-dominated hunting was always</P><br />
<P STYLE="margin-bottom: 0in">the central force that shaped human<br />
subsistence, settlement, and technological de-</P><br />
<P STYLE="margin-bottom: 0in">velopments; (3) that the utilization of<br />
aquatic resources is automatically evidence</P><br />
<P STYLE="margin-bottom: 0in">for demographic pressure or resource<br />
stress; and (4) that the archaeological record</P><br />
<P STYLE="margin-bottom: 0in">preserves a representative picture of<br />
our past.</P><br />
<P STYLE="margin-bottom: 0in">         ARCHAEOLOGICAL EVIDENCE FOR<br />
THE ANTIQUITY</P><br />
<P STYLE="margin-bottom: 0in">                         OF AQUATIC<br />
RESOURCE USE</P></p>
<p><P STYLE="margin-bottom: 0in">     Given the nature and ubiquity of<br />
such problems, is it any wonder that we</P><br />
<P STYLE="margin-bottom: 0in">know so little about the history of<br />
aquatic resource use? To understand the devel-</P><br />
<P STYLE="margin-bottom: 0in">opment of aquatic adaptations we are<br />
burdened with several fundamentally ﬂawed</P><br />
<P STYLE="margin-bottom: 0in">theoretical assumptions and blessed<br />
with a relatively small number of assemblages</P><br />
<P STYLE="margin-bottom: 0in">where faunal preservation is<br />
exceptional and the full range of faunal remains were</P><br />
<P STYLE="margin-bottom: 0in">systematically recovered and completely<br />
reported. At the same time, any current</P><br />
<P STYLE="margin-bottom: 0in">synthesis must rely on an<br />
archaeological record that comes almost exclusively</P><br />
<P STYLE="margin-bottom: 0in">from sites preserved above modern sea<br />
level even though virtually all coastlines</P></p>
<p><P STYLE="margin-bottom: 0in">dating between about 120,000 and 15,000<br />
years ago now lie submerged and distant</P><br />
<P STYLE="margin-bottom: 0in">from the modern coast.</P><br />
<P STYLE="margin-bottom: 0in">     Despite such problems, numerous<br />
early sites with evidence for aquatic re-</P><br />
<P STYLE="margin-bottom: 0in">source use have been listed over the<br />
years by Osborn (1977a,b), Perlman (1980),</P><br />
<P STYLE="margin-bottom: 0in">and Waselkov (1987) or mentioned by<br />
others (e.g., Claassen, 1998; Klein and</P><br />
<P STYLE="margin-bottom: 0in">Scott, 1986; Yesner, 1980). None of<br />
these lists were exhaustive when they ﬁrst</P><br />
<P STYLE="margin-bottom: 0in">appeared, and additional data have<br />
continued to accumulate in subsequent years.</P><br />
<P STYLE="margin-bottom: 0in">In Tables I–III, I have compiled my<br />
own lists of early “aquatic” sites—those that</P></p>
<p><P STYLE="margin-bottom: 0in">306<br />
                                                Erlandson</P><br />
<P STYLE="margin-bottom: 0in">    Table I. Some Early Old World<br />
Localities With Possible Evidence for Aquatic Resource Use</P><br />
<P STYLE="margin-bottom: 0in">                           Description<br />
of aquatic fauna</P><br />
<P STYLE="margin-bottom: 0in">  Locality/site                   and<br />
associations              Age (yr)         Reference</P><br />
<P STYLE="margin-bottom: 0in">Homo habilis</P><br />
<P STYLE="margin-bottom: 0in">  Senga 5,            Possible use of<br />
freshwater ﬁsh,           2.3–2.0M     Harris et al., 1990;</P><br />
<P STYLE="margin-bottom: 0in">     Semliki             molluscs, and<br />
reptiles associated                      Meylan, 1990</P></p>
<p><P STYLE="margin-bottom: 0in">     River, Zaire        with Oldowan<br />
tools.</P><br />
<P STYLE="margin-bottom: 0in">  Olduvai Gorge,      Possible use of<br />
freshwater ﬁsh,           1.8–1.1M     Leakey, 1971;</P><br />
<P STYLE="margin-bottom: 0in">     Tanzania            crocodiles,<br />
turtles, amphibians,                       Stewart, 1994</P><br />
<P STYLE="margin-bottom: 0in">                         and molluscs.</P><br />
<P STYLE="margin-bottom: 0in">Homo erectus</P><br />
<P STYLE="margin-bottom: 0in">  Olduvai Gorge,      Possible use of<br />
freshwater ﬁsh,           1.1–0.8M     Leakey, 1971,</P></p>
<p><P STYLE="margin-bottom: 0in">     Tanzania            crocodiles,<br />
aquatic mammals                            1994; Roe,</P><br />
<P STYLE="margin-bottom: 0in">                         (hippo),<br />
turtles, amphibians,                          1994, p. 304;</P><br />
<P STYLE="margin-bottom: 0in">                         molluscs, and<br />
possibly salt.                           Stewart, 1994</P><br />
<P STYLE="margin-bottom: 0in">  Kao Pah Nam,        Pile of<br />
freshwater oyster shells            700K       Fagan, 1990,</P><br />
<P STYLE="margin-bottom: 0in">     Thailand            against cave<br />
wall, associated with                     p. 120; Pope,</P><br />
<P STYLE="margin-bottom: 0in">                         hearth and<br />
land animal bones.                          1989</P></p>
<p><P STYLE="margin-bottom: 0in">  Holon, Israel       Freshwater turtle<br />
(Trionyx sp.) shells   500–400 K     Bar-Yosef, 1994,</P><br />
<P STYLE="margin-bottom: 0in">                         and hippo<br />
bones in Middle                              p. 246</P><br />
<P STYLE="margin-bottom: 0in">                         Acheulian<br />
assemblage of mostly</P><br />
<P STYLE="margin-bottom: 0in">                         scavenged (?)<br />
land mammals.</P><br />
<P STYLE="margin-bottom: 0in">  Mas des caves,      Seal remains<br />
found in cave site now       ca. 400K     Cleyet-Merle and</P><br />
<P STYLE="margin-bottom: 0in">     Lunel-Viel,         located ca. 10<br />
km from                                 Madelaine,</P></p>
<p><P STYLE="margin-bottom: 0in">     France              Mediterranean<br />
coast.                                   1995, p. 306</P><br />
<P STYLE="margin-bottom: 0in">Archaic Homo sapiens</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼350–300K</P><br />
<P STYLE="margin-bottom: 0in">  Hoxne, England      Remains of ﬁsh,<br />
otter, beaver, and                     Singer et al.,</P><br />
<P STYLE="margin-bottom: 0in">                         waterfowl<br />
associated with                              1993; Stuart</P><br />
<P STYLE="margin-bottom: 0in">                         Acheulian<br />
deposits; distributions                      et al., 1993</P></p>
<p><P STYLE="margin-bottom: 0in">                         similar to<br />
artifacts, suggesting a</P><br />
<P STYLE="margin-bottom: 0in">                         cultural<br />
origin.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼400–200K</P><br />
<P STYLE="margin-bottom: 0in">  Duinefontein 2,     Sea bird<br />
(penguin, cormorant)                          Klein et al., 1999a</P><br />
<P STYLE="margin-bottom: 0in">     South Africa        remains in<br />
Late Acheulian site</P><br />
<P STYLE="margin-bottom: 0in">                         dominated by<br />
land mammal bones.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                      ∼300–230K</P><br />
<P STYLE="margin-bottom: 0in">  Terra Amata,        Shellﬁsh and<br />
possibly ﬁsh remains                      de Lumley, 1969;</P><br />
<P STYLE="margin-bottom: 0in">     France              associated<br />
with multicomponent                         Villa, 1983</P><br />
<P STYLE="margin-bottom: 0in">                         coastal<br />
campsite.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼186–127K</P><br />
<P STYLE="margin-bottom: 0in">  Lazaret, France     Marine shellﬁsh<br />
in late Acheulian                      Cleyet-Merle and</P></p>
<p><P STYLE="margin-bottom: 0in">                         context.<br />
                                        Madelaine,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                        1995</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     ∼150 &plusmn; 50K?</P><br />
<P STYLE="margin-bottom: 0in">  Ramandils,          Marine shellﬁsh<br />
(&gt;300 fragments) in                    Cleyet-Merle and</P><br />
<P STYLE="margin-bottom: 0in">     France              Middle<br />
Paleolithic strata, probable                    Madelaine,</P></p>
<p><P STYLE="margin-bottom: 0in">                         food remains.<br />
                                        1995</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      150 &plusmn; 50K</P><br />
<P STYLE="margin-bottom: 0in">  Kebibat, Rabat,     Aterian shell<br />
midden on Atlantic                       Souville, 1973,</P><br />
<P STYLE="margin-bottom: 0in">     Morocco             coast,<br />
associated with Neandertal                      pp. 73–81</P><br />
<P STYLE="margin-bottom: 0in">                         remains.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                      ∼130–40K</P><br />
<P STYLE="margin-bottom: 0in">  Presqu’ile du       Aterian site on<br />
coast near Berard,                     Roubet, 1969</P><br />
<P STYLE="margin-bottom: 0in">     Canal,              contains<br />
unspeciﬁed numbers of</P><br />
<P STYLE="margin-bottom: 0in">     Berard,             limpets.</P><br />
<P STYLE="margin-bottom: 0in">     Algeria</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼130–50K</P></p>
<p><P STYLE="margin-bottom: 0in">  Haua Fteah,         Marine shellﬁsh<br />
in Last Interglacial                   McBurney, 1967</P><br />
<P STYLE="margin-bottom: 0in">     Cyrenaica,          strata.</P><br />
<P STYLE="margin-bottom: 0in">     Libya</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                                 307</P><br />
<P STYLE="margin-bottom: 0in"><br />
Table I. (Continued)</P><br />
<P STYLE="margin-bottom: 0in">                            Description<br />
of aquatic fauna</P></p>
<p><P STYLE="margin-bottom: 0in">    Locality/site                 and<br />
associations             Age (yr)     Reference</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼125–40K Arambourg, 1967;</P><br />
<P STYLE="margin-bottom: 0in">  Mugharet el ’Aliya, Marine<br />
shellﬁsh, ﬁsh, and monk seal</P><br />
<P STYLE="margin-bottom: 0in">    Morocco              remains in<br />
Mousterian/Aterian                     Howe, 1967</P><br />
<P STYLE="margin-bottom: 0in">                         strata.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼125–140K D&acute; b&acute; nath and</P></p>
<p><P STYLE="margin-bottom: 0in">  La Grotte Zouhrah,  Aterian<br />
assemblage with marine                      ee</P><br />
<P STYLE="margin-bottom: 0in">    Rabat, Morocco       shellﬁsh<br />
(limpets, mussels, and                   Sbihi-Alaoui,</P><br />
<P STYLE="margin-bottom: 0in">                         crab), Homo<br />
sapiens remains.                      1979</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼127–40K Roche and Texier,</P><br />
<P STYLE="margin-bottom: 0in">  Grotte des          Aterian shell<br />
midden on Atlantic</P><br />
<P STYLE="margin-bottom: 0in">    Contrebandiers,      Coast<br />
associated with Homo                        1976; Souville,</P></p>
<p><P STYLE="margin-bottom: 0in">    Morocco              sapiens<br />
remains, abundant limpets.                1973, p. 112</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼125–50K Garrod et al., 1928</P><br />
<P STYLE="margin-bottom: 0in">  Devil’s Tower,      “Thick<br />
layers” of mussels over</P><br />
<P STYLE="margin-bottom: 0in">    Gibraltar            Mousterian<br />
hearths, and a “large</P><br />
<P STYLE="margin-bottom: 0in">                         heap” of<br />
marine shells.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼125–50K Baden-Powell,</P></p>
<p><P STYLE="margin-bottom: 0in">  Gorham’s Cave,      A variety of<br />
marine shellﬁsh remains</P><br />
<P STYLE="margin-bottom: 0in">    Gibraltar            from several<br />
Mousterian                           1964; Waechter,</P><br />
<P STYLE="margin-bottom: 0in">                         occupation<br />
levels.                                1951, 1964</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼115–65K Stiner, 1994</P><br />
<P STYLE="margin-bottom: 0in">  Grotta dei          Diverse marine<br />
shell remains (3100</P><br />
<P STYLE="margin-bottom: 0in">    Moscerini,           fragments),<br />
dominated by mussels</P></p>
<p><P STYLE="margin-bottom: 0in">    Latium, Italy        and clams.<br />
High rates of burning</P><br />
<P STYLE="margin-bottom: 0in">                         suggest human<br />
predation; chipped</P><br />
<P STYLE="margin-bottom: 0in">                         shell tools.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                        &gt;45K</P><br />
<P STYLE="margin-bottom: 0in">  Vanguard Cave,      Mousterian strata<br />
containing “clear               Barton et al., 1999</P><br />
<P STYLE="margin-bottom: 0in">    Gibraltar            evidence”<br />
for marine shellﬁsh use</P></p>
<p><P STYLE="margin-bottom: 0in">                         by<br />
Neandertals; includes mussels,</P><br />
<P STYLE="margin-bottom: 0in">                         limpets,<br />
cockles, etc., some burned.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                        &gt;40K</P><br />
<P STYLE="margin-bottom: 0in">  Ras el-Kelb,        Mousterian<br />
occupation of coastal or               Copeland and</P><br />
<P STYLE="margin-bottom: 0in">    Lebanon              pericoastal<br />
cave site, with small                 Moloney, 1998;</P><br />
<P STYLE="margin-bottom: 0in">                         numbers of<br />
marine shells recovered                Reese, 1998</P></p>
<p><P STYLE="margin-bottom: 0in">                         from various<br />
occupation levels.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                        &gt;40K</P><br />
<P STYLE="margin-bottom: 0in">  Salzgitter-         Freshwater ﬁsh<br />
and mollusk remains                Butzer, 1971,</P><br />
<P STYLE="margin-bottom: 0in">    Lebenstedt,          associated<br />
with Mousterian                        p. 477; Cohen,</P><br />
<P STYLE="margin-bottom: 0in">    Germany              assemblage.<br />
                                   1977</P><br />
<P STYLE="margin-bottom: 0in"><br />
                        &gt;37K</P></p>
<p><P STYLE="margin-bottom: 0in">  Grotta Breuil,      Small numbers of<br />
clam and limpet                  Stiner, 1994,</P><br />
<P STYLE="margin-bottom: 0in">    Latium, Italy        shells from<br />
Mousterian strata;                    p.189</P><br />
<P STYLE="margin-bottom: 0in">                         probably not<br />
an “economically</P><br />
<P STYLE="margin-bottom: 0in">                         signiﬁcant”<br />
resource.</P><br />
<P STYLE="margin-bottom: 0in">  Gruta da Figueira   Marine shells<br />
(Patella sp.) in           31–30K   Straus et al., 1993,</P><br />
<P STYLE="margin-bottom: 0in">    Brava, Portugal      Mousterian<br />
levels; density, origin,               p. 15</P></p>
<p><P STYLE="margin-bottom: 0in">                         and other<br />
constituents unknown.</P><br />
<P STYLE="margin-bottom: 0in">Anatomically Modern Humans (Homo<br />
sapiens sapiens)</P><br />
<P STYLE="margin-bottom: 0in">                      Middle Stone Age<br />
use of shellﬁsh, sea ∼130–55K Singer and</P><br />
<P STYLE="margin-bottom: 0in">  Klasies River</P><br />
<P STYLE="margin-bottom: 0in">    Mouth, South         mammals, and<br />
ﬂightless birds.                     Wymer, 1982</P><br />
<P STYLE="margin-bottom: 0in">    Africa</P></p>
<p><P STYLE="margin-bottom: 0in">                      Middle Stone Age<br />
shell midden with ∼130–&gt;40K Klein, 1999,</P><br />
<P STYLE="margin-bottom: 0in">  Boegoeberg II,</P><br />
<P STYLE="margin-bottom: 0in">    South Africa         numerous<br />
cormorant bones.                         p. 455; Klein</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                   et al., 1999b</P><br />
<P STYLE="margin-bottom: 0in">  Abdur, Eritrea      Middle Stone Age<br />
shell midden?            125K    Walter et al., 2000</P><br />
<P STYLE="margin-bottom: 0in">                      Early Middle<br />
Stone Age shell midden ∼120–80K Brink and Deacon,</P></p>
<p><P STYLE="margin-bottom: 0in">  Herolds Bay Cave,</P><br />
<P STYLE="margin-bottom: 0in">    South Africa         with mussels<br />
(Perna perna), other                 1982</P><br />
<P STYLE="margin-bottom: 0in">                         shellﬁsh,<br />
and otter remains</P><br />
<P STYLE="margin-bottom: 0in">                         associated<br />
with hearths.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                      (Continued)</P><br />
<P STYLE="margin-bottom: 0in">308<br />
                                           Erlandson</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
Table I. (Continued)</P><br />
<P STYLE="margin-bottom: 0in">                            Description<br />
of aquatic fauna</P><br />
<P STYLE="margin-bottom: 0in">    Locality/site                 and<br />
associations             Age (yr)     Reference</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼90–75K Brooks et al.,</P><br />
<P STYLE="margin-bottom: 0in">  Katanda 9 and 16,   Thousands of ﬁsh<br />
bones associated</P><br />
<P STYLE="margin-bottom: 0in">    Semliki River,      with MSA barbed<br />
bone harpoon                      1995; Yellen</P></p>
<p><P STYLE="margin-bottom: 0in">    Zaire               points in<br />
riverine setting.                       et al., 1995</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼75–55K Marean et al.,</P><br />
<P STYLE="margin-bottom: 0in">  Die Kelders 1,      Sea mammals,<br />
birds, and shellﬁsh</P><br />
<P STYLE="margin-bottom: 0in">    South Africa        remains<br />
abundant in MSA cave                      2000; Tankard</P><br />
<P STYLE="margin-bottom: 0in">                        deposits;<br />
shellﬁsh remains are                    and Schweitzer,</P><br />
<P STYLE="margin-bottom: 0in">                        poorly<br />
preserved.                                 1974</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                      ∼70–60K Volman, 1978</P><br />
<P STYLE="margin-bottom: 0in">  Hoodjies Punt,      Open air MSA site<br />
with evidence for</P><br />
<P STYLE="margin-bottom: 0in">    South Africa        shellﬁsh, sea<br />
mammals, and ﬁsh.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼70–60K Volman, 1978</P><br />
<P STYLE="margin-bottom: 0in">  Sea Harvest, South  Open air MSA site<br />
with evidence for</P><br />
<P STYLE="margin-bottom: 0in">    Africa              the use of<br />
shellﬁsh, sea mammals,</P></p>
<p><P STYLE="margin-bottom: 0in">                        and ﬁsh.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼60–50K Henshilwood and</P><br />
<P STYLE="margin-bottom: 0in">  Blombos Cave,       MSA shell midden<br />
strata, with variable</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      or &gt;100K</P><br />
<P STYLE="margin-bottom: 0in">    South Africa        densities of<br />
marine shell (mussels,               Sealy, 1997;</P><br />
<P STYLE="margin-bottom: 0in">                        limpets, etc.),<br />
ﬁsh remains, and                  personal</P></p>
<p><P STYLE="margin-bottom: 0in">                        formal bone<br />
tools.                                communication,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                  2000</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼50–15K Johnston et al.,</P><br />
<P STYLE="margin-bottom: 0in">  Willandra Lakes,    Abundant shellﬁsh<br />
and ﬁsh remains</P><br />
<P STYLE="margin-bottom: 0in">    Australia           from numerous<br />
lakeside camps,                     1998</P><br />
<P STYLE="margin-bottom: 0in">                        associated with<br />
terrestrial fauna and</P></p>
<p><P STYLE="margin-bottom: 0in">                        mixed economy.</P><br />
<P STYLE="margin-bottom: 0in">  Ksar ‘Akil,         Numerous<br />
freshwater and marine           43–22K Altena, 1962;</P><br />
<P STYLE="margin-bottom: 0in">    Lebanon             shellﬁsh<br />
fragments in Early Upper                 Ewing, 1947;</P><br />
<P STYLE="margin-bottom: 0in">                        Paleolithic<br />
strata; pelican, swan,                Kersten, 1991</P><br />
<P STYLE="margin-bottom: 0in">                        goose(?), and<br />
duck also found.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      ∼40–15K Arambourg, 1967;</P></p>
<p><P STYLE="margin-bottom: 0in">  Mugharet el ‘Aliya, Marine shellﬁsh<br />
and ﬁsh remains in</P><br />
<P STYLE="margin-bottom: 0in">    Morocco             undated Upper<br />
Paleolithic strata.                 Howe, 1967</P><br />
<P STYLE="margin-bottom: 0in">  New Britain,        Several early<br />
sites containing shell     36–15K Allen et al.,</P><br />
<P STYLE="margin-bottom: 0in">    Melanesia           middens, ﬁsh<br />
bones, etc.; several                 1989a,b</P><br />
<P STYLE="margin-bottom: 0in">                        substantial sea<br />
voyages required for</P><br />
<P STYLE="margin-bottom: 0in">                        colonization of<br />
archipelago.</P></p>
<p><P STYLE="margin-bottom: 0in">  Riparo Mochi,       Early Aurignacian<br />
stratum produced       35–32K Kuhn and Stiner,</P><br />
<P STYLE="margin-bottom: 0in">    Liguria, Italy      almost 5000<br />
pieces of marine food                 1998; Stiner,</P><br />
<P STYLE="margin-bottom: 0in">                        shell (MNI ca.<br />
500), plus 240 shell               1999</P><br />
<P STYLE="margin-bottom: 0in">                        ornaments made<br />
from 43 taxa.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                        ∼35K</P><br />
<P STYLE="margin-bottom: 0in">  Castonet Shelter,   Greenland seal<br />
(Phoca hispida) bones              Cleyet-Merle and</P></p>
<p><P STYLE="margin-bottom: 0in">    France              in early<br />
Aurignacian stratum.                     Madelaine, 1995</P><br />
<P STYLE="margin-bottom: 0in">  Mandu Mandu         Low density<br />
midden with shellﬁsh,        34–20K Bowdler, 1990;</P><br />
<P STYLE="margin-bottom: 0in">    Rockshelter,        crab, and ﬁsh<br />
remains at pericoastal              Morse, 1988</P><br />
<P STYLE="margin-bottom: 0in">    Western             site ca. 5 km<br />
from coast during early</P><br />
<P STYLE="margin-bottom: 0in">    Australia           occupation.</P><br />
<P STYLE="margin-bottom: 0in">  Leang Burung,       Abundant<br />
freshwater shellﬁsh remains     31–19K Glover, 1981</P></p>
<p><P STYLE="margin-bottom: 0in">    Sulawesi            in cave site.</P><br />
<P STYLE="margin-bottom: 0in">  Gorham’s Cave,      Numerous marine<br />
shellﬁsh remains in      30–25K Waechter, 1964;</P><br />
<P STYLE="margin-bottom: 0in">    Gibraltar           Early Upper<br />
Paleolithic levels; some              Zeuner and</P><br />
<P STYLE="margin-bottom: 0in">                        sea bird, seal,<br />
and ﬁsh remains.                  Sutcliffe, 1964</P><br />
<P STYLE="margin-bottom: 0in">  Kilu Rockshelter,   Shell midden with<br />
ﬁsh bones and other 29–20K Wickler and</P><br />
<P STYLE="margin-bottom: 0in">    Solomon Islands,    fauna;<br />
colonization of island                     Spriggs, 1988</P></p>
<p><P STYLE="margin-bottom: 0in">    Melanesia           required<br />
several substantial voyages</P><br />
<P STYLE="margin-bottom: 0in">                        by maritime<br />
peoples.</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                                    309</P><br />
<P STYLE="margin-bottom: 0in"><br />
Table I. (Continued)</P><br />
<P STYLE="margin-bottom: 0in"><br />
Description of aquatic fauna</P><br />
<P STYLE="margin-bottom: 0in">     Locality/site<br />
and associations            Age (yr)     Reference</P></p>
<p><P STYLE="margin-bottom: 0in">   Shuwikhat-1,          Catﬁsh and<br />
large mammal remains at         25K   Vermeersch and</P><br />
<P STYLE="margin-bottom: 0in">      Upper Egypt          ﬁshing and<br />
hunting station.                       Van Peer, 1988</P><br />
<P STYLE="margin-bottom: 0in">   Ishango 11 and 14,    Abundant ﬁsh<br />
remains and some            25–16K  Brooks et al.,</P><br />
<P STYLE="margin-bottom: 0in">      Semliki River,       shellﬁsh,<br />
crab remains with barbed                1995; Yellen</P><br />
<P STYLE="margin-bottom: 0in">      Zaire                bone points<br />
in early LSA                          et al., 1995</P><br />
<P STYLE="margin-bottom: 0in">                           assemblages<br />
in riverine and</P></p>
<p><P STYLE="margin-bottom: 0in">                           lacustrine<br />
setting.</P><br />
<P STYLE="margin-bottom: 0in">   Site 1017 (Khor       Khormusan<br />
campsite produced               22.7K  Greenwood, 1968,</P><br />
<P STYLE="margin-bottom: 0in">      Musa), Egyptian      numerous<br />
catﬁsh bones as part of                  p. 100</P><br />
<P STYLE="margin-bottom: 0in">      Nubia                mixed<br />
economy.</P><br />
<P STYLE="margin-bottom: 0in">   Ohalo II, Jordan      Thousands of<br />
ﬁsh bones associated        21–18K  Nadel and Werker,</P><br />
<P STYLE="margin-bottom: 0in">      Valley, Israel       with house<br />
ﬂoor on south shore of                 1999</P></p>
<p><P STYLE="margin-bottom: 0in">                           Sea of<br />
Galilee.</P><br />
<P STYLE="margin-bottom: 0in">   La Riera, Asturias,   Upper<br />
Paleolithic cave strata with       21–14K  Straus et al., 1981</P><br />
<P STYLE="margin-bottom: 0in">      Spain                shellﬁsh,<br />
ﬁsh, and rare seal remains.</P><br />
<P STYLE="margin-bottom: 0in">   Ballana (Site         Halfan<br />
campsite with large quantities   19–18K   Greenwood, 1968,</P><br />
<P STYLE="margin-bottom: 0in">      8859), Egyptian      of burned<br />
bone, mostly freshwater                 p. 108;</P><br />
<P STYLE="margin-bottom: 0in">      Nubia                ﬁsh<br />
(catﬁsh, etc.).                               Wendorf, 1968,</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                     p. 797</P><br />
<P STYLE="margin-bottom: 0in"><br />
                         ∼18–17K Straus, 1976–1977</P><br />
<P STYLE="margin-bottom: 0in">   Altamira Cave,        Solutrean use<br />
of shellﬁsh and seal</P><br />
<P STYLE="margin-bottom: 0in">      Santander, Spain     within a<br />
predominantly terrestrial</P><br />
<P STYLE="margin-bottom: 0in">                           site<br />
economy.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           ∼17K</P></p>
<p><P STYLE="margin-bottom: 0in">   Balmori Cave,         Upper<br />
Paleolithic conchero containing            Clark, 1974–1975</P><br />
<P STYLE="margin-bottom: 0in">      Asturias, Spain      hundreds of<br />
marine shells, mostly</P><br />
<P STYLE="margin-bottom: 0in">                           limpets.</P><br />
<P STYLE="margin-bottom: 0in">   Coberizas Cave,       Shellﬁsh<br />
remains and occasional ﬁsh     17–15K   Clark and</P><br />
<P STYLE="margin-bottom: 0in">      Spain                bones in<br />
Upper Paleolithic strata.               Cartledge, 1973</P><br />
<P STYLE="margin-bottom: 0in">                         Small numbers<br />
(n = 44) of salmon</P></p>
<p><P STYLE="margin-bottom: 0in">   Cueva Ambrosio,<br />
                           16.5K  L&acute; pez, 1988</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                   o</P><br />
<P STYLE="margin-bottom: 0in">      Almeria, Spain       vertebrae<br />
and several hundred marine</P><br />
<P STYLE="margin-bottom: 0in">                           shell<br />
fragments—ornamental and</P><br />
<P STYLE="margin-bottom: 0in"><br />
nonornamental—in Solutrean levels</P></p>
<p><P STYLE="margin-bottom: 0in">                           of cave ca.<br />
60 km from modern coast.</P><br />
<P STYLE="margin-bottom: 0in">Note. M = million years; K = thousand<br />
years.</P><br />
<P STYLE="margin-bottom: 0in">have produced possible evidence for the<br />
use of aquatic foods, other resources, or</P><br />
<P STYLE="margin-bottom: 0in">maritime activities. These lists, too,<br />
are illustrative rather than comprehensive—I</P><br />
<P STYLE="margin-bottom: 0in">have compiled such data for years but<br />
still frequently encounter sites with ap-</P><br />
<P STYLE="margin-bottom: 0in">parent evidence for aquatic resource<br />
use that I was unaware of. Because of the</P><br />
<P STYLE="margin-bottom: 0in">proliferation of such sites, in fact, I<br />
have limited myself to Old World localities</P><br />
<P STYLE="margin-bottom: 0in">more than 15,000 years old and New<br />
World sites more than 8,000 years old. There</P></p>
<p><P STYLE="margin-bottom: 0in">is no question that aquatic resources<br />
were systematically used in these areas af-</P><br />
<P STYLE="margin-bottom: 0in">ter these times, and the different<br />
thresholds for the Old and New Worlds also</P><br />
<P STYLE="margin-bottom: 0in">help compensate for the fact that the<br />
two areas were ﬁrst colonized by humans at</P><br />
<P STYLE="margin-bottom: 0in">very different times. Even so, early<br />
aquatic sites are too numerous to discuss or</P><br />
<P STYLE="margin-bottom: 0in">list individually. Instead, I ﬁrst<br />
discuss the evidence for the use of aquatic foods</P><br />
<P STYLE="margin-bottom: 0in">310<br />
                                                   Erlandson</P><br />
<P STYLE="margin-bottom: 0in">        Table II. Some Early New World<br />
Localities With Evidence for Aquatic Resource Use</P><br />
<P STYLE="margin-bottom: 0in"><br />
Description of aquatic fauna and</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                          14 C</P><br />
<P STYLE="margin-bottom: 0in">   Locality/site<br />
 association                   age (Kyr)     References</P><br />
<P STYLE="margin-bottom: 0in">Monte Verde, Chile      Pericoastal<br />
site with evidence for             12.5?     Dillehay, 1997</P><br />
<P STYLE="margin-bottom: 0in">                            coastal<br />
contact (seaweeds, etc.).</P><br />
<P STYLE="margin-bottom: 0in">Broken Mammoth,         Abundant<br />
waterfowl remains, some             11.6–9.6    Yesner, 1996</P><br />
<P STYLE="margin-bottom: 0in">  Alaska                    ﬁsh,<br />
otter, and beaver in mixed</P><br />
<P STYLE="margin-bottom: 0in">                            economy.</P></p>
<p><P STYLE="margin-bottom: 0in">Tule Lake,              Fish and<br />
waterfowl as a primary                 11.4     Beaton, 1991</P><br />
<P STYLE="margin-bottom: 0in">  California                resource in<br />
basal layers of SIS-218</P><br />
<P STYLE="margin-bottom: 0in"><br />
rockshelter.</P><br />
<P STYLE="margin-bottom: 0in">Lewisville, Texas       Several Clovis<br />
hearths associated with           11      Storey et al., 1990</P><br />
<P STYLE="margin-bottom: 0in">                            freshwater<br />
shellﬁsh, turtles, and ﬁsh</P><br />
<P STYLE="margin-bottom: 0in">                            remains<br />
within diversiﬁed economy.</P><br />
<P STYLE="margin-bottom: 0in">Quebrada Jaguay,        Faunal<br />
assemblage dominated by ﬁsh,          11.1–9.9    Sandweiss et<br />
al.,</P></p>
<p><P STYLE="margin-bottom: 0in">  Peru                      shellﬁsh,<br />
and seabird remains.                         1998</P><br />
<P STYLE="margin-bottom: 0in">Pedra Pintada           Freshwater ﬁsh,<br />
shellﬁsh remains in           11.3–10    Roosevelt et al.,</P><br />
<P STYLE="margin-bottom: 0in">  Cave, Brazil              several<br />
Paleoindian occupation                         1996</P><br />
<P STYLE="margin-bottom: 0in">                            levels.</P><br />
<P STYLE="margin-bottom: 0in">Marmes                  Use of<br />
freshwater mussels and salmon           11–10     Caulk, 1988</P><br />
<P STYLE="margin-bottom: 0in">  Rockshelter,              along with<br />
terrestrial resources.</P><br />
<P STYLE="margin-bottom: 0in">  Washington</P></p>
<p><P STYLE="margin-bottom: 0in">Healy Lake, Alaska      Possible<br />
freshwater ﬁsh use.                    10.9     Borden, 1979</P><br />
<P STYLE="margin-bottom: 0in">Quebrada                Seabird, ﬁsh,<br />
and shellﬁsh use.              10.8–10.5   Keefer et al., 1998</P><br />
<P STYLE="margin-bottom: 0in">  Tacahuay, Peru</P><br />
<P STYLE="margin-bottom: 0in">Kanaka Rapids site,     Isotopic<br />
signature of Buhl woman                10.7     Carlson, 1998;</P><br />
<P STYLE="margin-bottom: 0in">  Idaho                     skeleton<br />
suggests marine (salmon?)                     Green et al.,</P><br />
<P STYLE="margin-bottom: 0in">                            component<br />
in Paleoindian diet.                         1998</P><br />
<P STYLE="margin-bottom: 0in">Ring site, Peru         Basal levels of<br />
multicomponent shell            10.5     Richardson, 1998;</P></p>
<p><P STYLE="margin-bottom: 0in">                            dated to<br />
terminal Pleistocene.                         Sandweiss et al.,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                           1989</P><br />
<P STYLE="margin-bottom: 0in">                        Dalton Complex,<br />
ﬁsh as a primary meat         10.5–9.9   Goodyear, 1982</P><br />
<P STYLE="margin-bottom: 0in">Rodgers Shelter,</P><br />
<P STYLE="margin-bottom: 0in">  Missouri                  source.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              10.4–7.8   Erlandson et al.,</P></p>
<p><P STYLE="margin-bottom: 0in">Daisy Cave, San         Abalones,<br />
mussels, turbans, and other</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                           1996; Rick et al.,</P><br />
<P STYLE="margin-bottom: 0in">  Miguel Island,            shells in<br />
island Paleoindian site;</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                           in press</P><br />
<P STYLE="margin-bottom: 0in">  California                Early<br />
Holocene component rich in</P><br />
<P STYLE="margin-bottom: 0in">                            shellﬁsh,<br />
ﬁsh, and pinniped remains,</P></p>
<p><P STYLE="margin-bottom: 0in">                            with shell<br />
beads, ﬁsh gorges, etc.</P><br />
<P STYLE="margin-bottom: 0in">49-PET-408,             Human skeletal<br />
remains with strongly             9.2     Dixon, 1999,</P><br />
<P STYLE="margin-bottom: 0in">  southeast Alaska          marine<br />
dietary signature.                              pp. 180–181</P><br />
<P STYLE="margin-bottom: 0in">                        Island<br />
occupation and probable                  9–8      Davis, 1989</P><br />
<P STYLE="margin-bottom: 0in">Hidden Falls,</P><br />
<P STYLE="margin-bottom: 0in">  southeast Alaska          maritime<br />
economy—faunal remains</P><br />
<P STYLE="margin-bottom: 0in">                            poorly<br />
preserved.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                 9.6     Dunbar, 1997</P><br />
<P STYLE="margin-bottom: 0in">Cutler Ridge,           Shell midden<br />
with tuna and shark</P><br />
<P STYLE="margin-bottom: 0in">  Florida                   remains,<br />
located adjacent to narrow</P><br />
<P STYLE="margin-bottom: 0in">                            continental<br />
shelf.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                9–8      Erlandson, 1994;</P><br />
<P STYLE="margin-bottom: 0in">California coast        Numerous Early<br />
Holocene shell</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                           Erlandson and</P></p>
<p><P STYLE="margin-bottom: 0in">                            middens on<br />
islands and mainland</P><br />
<P STYLE="margin-bottom: 0in">                            with<br />
diversity of maritime                             Moss, 1996</P><br />
<P STYLE="margin-bottom: 0in"><br />
adaptations.</P><br />
<P STYLE="margin-bottom: 0in">Sabine River site,      Submerged Gulf<br />
Coast shell midden                8.5     Dunbar, 1997</P><br />
<P STYLE="margin-bottom: 0in">  Texas                     with burned<br />
and unburned ﬁsh bone.</P><br />
<P STYLE="margin-bottom: 0in">Chuck Lake II,          Island shell<br />
midden with abundant ﬁsh            8.2     Ackerman et al.,</P><br />
<P STYLE="margin-bottom: 0in">  southeast Alaska          remains<br />
                                           1985</P></p>
<p><P STYLE="margin-bottom: 0in">Note. Kyr = thousand years.</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                                        311</P><br />
<P STYLE="margin-bottom: 0in">                 Table III. Islands<br />
Colonized or Explored by Pleistocene Seafarers</P><br />
<P STYLE="margin-bottom: 0in">      Locality<br />
Description of evidence          Date (Kyr)       References</P><br />
<P STYLE="margin-bottom: 0in">Flores Southeast      Possible evidence<br />
for Homo erectus            800?     Morwood et al.,</P><br />
<P STYLE="margin-bottom: 0in">   Asia                  crossing of<br />
initial water gap from                     1998; Sondaar</P><br />
<P STYLE="margin-bottom: 0in">                         Sunda to<br />
Flores.                                       et al., 1994</P></p>
<p><P STYLE="margin-bottom: 0in">New Guinea and        Oldest sites in<br />
Sunda are the earliest       60–40     Clark, 1991; Groube</P><br />
<P STYLE="margin-bottom: 0in">   Australia             evidence for<br />
planned maritime                          et al., 1986;</P><br />
<P STYLE="margin-bottom: 0in">                         voyaging,<br />
involving several sea                        Roberts et al.,</P><br />
<P STYLE="margin-bottom: 0in">                         crossings up<br />
to 90 km long.                            1990</P><br />
<P STYLE="margin-bottom: 0in"><br />
                            ∼50</P><br />
<P STYLE="margin-bottom: 0in">Crete, Greece         Homo sapiens<br />
sapiens remains with                      Facchini and</P><br />
<P STYLE="margin-bottom: 0in">                         poorly<br />
documented context;                             Giusberti, 1992</P></p>
<p><P STYLE="margin-bottom: 0in">                         calcareous<br />
breccia in which bones</P><br />
<P STYLE="margin-bottom: 0in">                         were cemented<br />
dated by Pa/U to</P><br />
<P STYLE="margin-bottom: 0in">                         51,000 &plusmn;<br />
12,000 BP; colonization of</P><br />
<P STYLE="margin-bottom: 0in">                         Crete<br />
apparently required several short</P><br />
<P STYLE="margin-bottom: 0in">                         sea crossings.</P></p>
<p><P STYLE="margin-bottom: 0in">Bismarck              Shell middens,<br />
ﬁshing, and seafaring at        35      Allen et al.,</P><br />
<P STYLE="margin-bottom: 0in">   Archipelago,          several sites<br />
dated from 15–35 Kyr,                    1989a,b; Wickler</P><br />
<P STYLE="margin-bottom: 0in">   Melanesia             with voyages<br />
up to 140 km long.                        and Spriggs, 1988</P><br />
<P STYLE="margin-bottom: 0in">Sicily, Italy         Aurignacian<br />
assemblage from                    30      Chilardi et al., 1996</P><br />
<P STYLE="margin-bottom: 0in">                         Mediterranean<br />
Island involving short</P><br />
<P STYLE="margin-bottom: 0in">                         voyage.</P><br />
<P STYLE="margin-bottom: 0in">Ryukyu Islands,       Human skeletal<br />
remains found in              32–15     Matsu’ura, 1996</P></p>
<p><P STYLE="margin-bottom: 0in">   Japan                 Yamashita-cho<br />
and other caves on</P><br />
<P STYLE="margin-bottom: 0in">                         Okinawa and<br />
other islands; involves</P><br />
<P STYLE="margin-bottom: 0in">                         voyages of ca.<br />
75–150 km.</P><br />
<P STYLE="margin-bottom: 0in">Kozushima Island,     Upper Paleolithic<br />
peoples on Honshu          25–20     Oda, 1990, p. 64</P><br />
<P STYLE="margin-bottom: 0in">   Japan                 crossing 50 km<br />
wide channel to obtain</P><br />
<P STYLE="margin-bottom: 0in">                         obsidian.</P></p>
<p><P STYLE="margin-bottom: 0in">Melos Island,         Travel across ca.<br />
24 km of open water to       13      Cherry, 1990</P><br />
<P STYLE="margin-bottom: 0in">   Greece                obtain<br />
obsidian for mainland trade.</P><br />
<P STYLE="margin-bottom: 0in">Admiralty Islands,    Settlement of<br />
Manus Island required            12      Allen and Kershaw,</P><br />
<P STYLE="margin-bottom: 0in">   Melanesia             200 km voyage.<br />
                                        1996</P><br />
<P STYLE="margin-bottom: 0in">Cyprus                Occupation of<br />
Aetokremnos site,               10.3     Cherry, 1990, p. 151</P><br />
<P STYLE="margin-bottom: 0in">                         Akrotiri<br />
Peninsula on southwest coast</P><br />
<P STYLE="margin-bottom: 0in">                         of Cyprus.</P></p>
<p><P STYLE="margin-bottom: 0in">Channel Islands,      Boat and marine<br />
resource use by coastal      11–10     Erlandson et al.,</P><br />
<P STYLE="margin-bottom: 0in">   California            Paleoindian<br />
groups, with sea crossings                 1996; Johnson</P><br />
<P STYLE="margin-bottom: 0in">                         of at least 10<br />
km.                                     et al., 2000; Orr,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                        1968</P><br />
<P STYLE="margin-bottom: 0in">Southeast Alaska      Presence on<br />
islands indicates a maritime      10–9     Davis, 1989; Fedje</P><br />
<P STYLE="margin-bottom: 0in">   and British           lifestyle and<br />
seafaring capabilities.                  and Christensen,</P><br />
<P STYLE="margin-bottom: 0in">   Columbia<br />
                                        1999</P></p>
<p><P STYLE="margin-bottom: 0in">Note. Kyr = thousand years.</P><br />
<P STYLE="margin-bottom: 0in">during various stages of human<br />
evolution, examining several key sites along the</P><br />
<P STYLE="margin-bottom: 0in">way. After reviewing such “direct”<br />
evidence for aquatic subsistence, I show that</P><br />
<P STYLE="margin-bottom: 0in">questions often remain about the<br />
cultural origin of the aquatic (and other) fau-</P><br />
<P STYLE="margin-bottom: 0in">nal remains found in such sites.<br />
Finally, I discuss some other lines of evidence</P><br />
<P STYLE="margin-bottom: 0in">for early aquatic adaptations,<br />
including early seafaring and maritime adaptations,</P><br />
<P STYLE="margin-bottom: 0in">sites submerged on continental shelves<br />
around the world, and the signiﬁcance</P><br />
<P STYLE="margin-bottom: 0in">312<br />
                                    Erlandson</P><br />
<P STYLE="margin-bottom: 0in">of pericoastal sites that indicate some<br />
use of coastal or other aquatic habitats or</P></p>
<p><P STYLE="margin-bottom: 0in">resources.</P><br />
<P STYLE="margin-bottom: 0in">                                 Old<br />
World Localities</P><br />
<P STYLE="margin-bottom: 0in">      For the Lower Paleolithic,<br />
relatively little is known about hominid subsis-</P><br />
<P STYLE="margin-bottom: 0in">tence. Preservation problems are<br />
especially serious for sites of such antiquity, and</P><br />
<P STYLE="margin-bottom: 0in">taphonomic issues related to the origin<br />
of faunal remains and their association with</P><br />
<P STYLE="margin-bottom: 0in">evidence for hominid activity are<br />
paramount. The earliest evidence for the possible</P><br />
<P STYLE="margin-bottom: 0in">use of aquatic resources by hominids<br />
comes from East African Rift Valley localities</P><br />
<P STYLE="margin-bottom: 0in">where the remains of a variety of<br />
aquatic or amphibious fauna have been found with</P></p>
<p><P STYLE="margin-bottom: 0in">stone tools between about 2.5 and 1.7<br />
million years old (e.g., Auffenberg, 1981;</P><br />
<P STYLE="margin-bottom: 0in">Greenwood and Todd, 1970; Harris et<br />
al., 1990; Leakey, 1971, 1994; Meylan,</P><br />
<P STYLE="margin-bottom: 0in">1990; Stewart, 1994). Probably left<br />
primarily by Homo habilis, the contents of</P><br />
<P STYLE="margin-bottom: 0in">these lacustrine sites record the<br />
scavenging and foraging activities of early ho-</P><br />
<P STYLE="margin-bottom: 0in">minids, as well as the background noise<br />
of natural accumulation processes. Most</P><br />
<P STYLE="margin-bottom: 0in">researchers today believe the remains<br />
of large land mammals found at such sites</P><br />
<P STYLE="margin-bottom: 0in">were accumulated primarily via<br />
scavenging of animals killed by more efﬁcient</P><br />
<P STYLE="margin-bottom: 0in">predators or other natural causes.<br />
Fernandez-Jalvo et al. (1999) have suggested,</P><br />
<P STYLE="margin-bottom: 0in">however, that some of the small mammals<br />
represented at such sites may have been</P></p>
<p><P STYLE="margin-bottom: 0in">hunted by hominids. Several early Rift<br />
Valley sites have also produced the bones of</P><br />
<P STYLE="margin-bottom: 0in">aquatic or amphibious animals,<br />
including hippos, crocodiles, ﬁsh, frogs, shellﬁsh,</P><br />
<P STYLE="margin-bottom: 0in">etc. (Leakey, 1971). Because many of<br />
these sites formed in dynamic lakeshore</P><br />
<P STYLE="margin-bottom: 0in">settings, however, any clear<br />
association of aquatic (and terrestrial) fauna with ho-</P><br />
<P STYLE="margin-bottom: 0in">minid activities is difﬁcult to<br />
demonstrate. At some sites, the remains of ﬁsh appear</P><br />
<P STYLE="margin-bottom: 0in">to be closely associated with hominid<br />
artifacts, but in others ﬁsh bones are rela-</P><br />
<P STYLE="margin-bottom: 0in">tively abundant in both cultural and<br />
natural strata. Greenwood and Todd (1970,</P><br />
<P STYLE="margin-bottom: 0in">p. 240) and Stewart (1994) have argued,<br />
however, that ﬁsh (especially the cat-</P><br />
<P STYLE="margin-bottom: 0in">ﬁsh, Clarias sp.) would have been<br />
relatively easy to procure in some Rift Valley</P></p>
<p><P STYLE="margin-bottom: 0in">aquatic settings and are unlikely to<br />
have been ignored by early hominids. This</P><br />
<P STYLE="margin-bottom: 0in">seems logical, especially for hominids<br />
living in lakeshore settings with economies</P><br />
<P STYLE="margin-bottom: 0in">based on opportunistic scavenging and<br />
foraging.</P><br />
<P STYLE="margin-bottom: 0in">      For Homo erectus, a series of<br />
East African sites has produced similar asso-</P><br />
<P STYLE="margin-bottom: 0in">ciations of artifacts and aquatic or<br />
amphibious fauna. At Olduvai, Leakey (1994)</P><br />
<P STYLE="margin-bottom: 0in">reported that the bones of catﬁsh and<br />
hippos are ubiquitous in artifact-bearing</P><br />
<P STYLE="margin-bottom: 0in">sediments dated between about 1.1 and<br />
0.4 million years ago, and the remains</P><br />
<P STYLE="margin-bottom: 0in">of crocodiles, aquatic turtles, and<br />
shellﬁsh also are found in some sites. As was</P></p>
<p><P STYLE="margin-bottom: 0in">the case with much of the Olduvai<br />
fauna, Leakey (1994, p. 142) recognized the</P><br />
<P STYLE="margin-bottom: 0in">difﬁculty in determining whether<br />
these aquatic taxa were deposited by hominids,</P><br />
<P STYLE="margin-bottom: 0in">but she argued that a cultural origin<br />
for the catﬁsh was most likely given their</P><br />
<P STYLE="margin-bottom: 0in">fragmentary condition and close<br />
association with artifacts (see also Auffenberg,</P><br />
<P STYLE="margin-bottom: 0in">1981; Roe, 1994; Stewart, 1994). In Bed<br />
III at Olduvai, dated between about 1.1</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                                              313</P><br />
<P STYLE="margin-bottom: 0in">and 0.8 million years ago, Leakey<br />
(1994; see also Roe, 1994) also found a series</P><br />
<P STYLE="margin-bottom: 0in">of distinctive pits and furrows<br />
possibly associated with the evaporative production</P><br />
<P STYLE="margin-bottom: 0in">of salt by Homo erectus.</P></p>
<p><P STYLE="margin-bottom: 0in">      Along the coastlines of Africa<br />
and the Middle East, there is also relatively</P><br />
<P STYLE="margin-bottom: 0in">widespread evidence for Lower<br />
Paleolithic occupation (e.g., Bar-Yosef, 1994,</P><br />
<P STYLE="margin-bottom: 0in">p. 214; Howe, 1967; Wulsin, 1941). Most<br />
of these localities are poorly dated,</P><br />
<P STYLE="margin-bottom: 0in">however, and contain choppers, hand<br />
axes, and other stone tools found in raised</P><br />
<P STYLE="margin-bottom: 0in">interglacial beach deposits. Although<br />
many of these clearly document the oc-</P><br />
<P STYLE="margin-bottom: 0in">cupation of coastal plains, the precise<br />
age and environmental context (coastal,</P><br />
<P STYLE="margin-bottom: 0in">pericoastal, inland?) of such<br />
occupations is not clear.</P><br />
<P STYLE="margin-bottom: 0in">      What appears to be relatively<br />
unambiguous use of aquatic resources by</P></p>
<p><P STYLE="margin-bottom: 0in">Homo erectus in Southeast Asia comes<br />
from the site of Kao Pah Nam, a lime-</P><br />
<P STYLE="margin-bottom: 0in">stone cave in northern Thailand<br />
occupied about 700,000 years ago (Pope, 1989).</P><br />
<P STYLE="margin-bottom: 0in">According to Fagan (1990, p. 120),<br />
“considerable numbers” of freshwater oyster</P><br />
<P STYLE="margin-bottom: 0in">shells were found piled against the<br />
cave wall. In the same level, stone tools, a</P><br />
<P STYLE="margin-bottom: 0in">cobble-ringed hearth, and the remains<br />
of hippo, ox, deer, porcupine, and rat were</P><br />
<P STYLE="margin-bottom: 0in">found.</P><br />
<P STYLE="margin-bottom: 0in">      Evidence for aquatic resource use<br />
increases somewhat with the appearance</P><br />
<P STYLE="margin-bottom: 0in">of archaic Homo sapiens after about<br />
400,000 years ago. It is not clear, however,</P></p>
<p><P STYLE="margin-bottom: 0in">whether this increase represents real<br />
behavioral or environmental shifts or the</P><br />
<P STYLE="margin-bottom: 0in">better preservation and greater<br />
visibility of more recent occupations. At the Lower</P><br />
<P STYLE="margin-bottom: 0in">Paleolithic site of Hoxne in England,<br />
Clactonian artifacts and faunal remains have</P><br />
<P STYLE="margin-bottom: 0in">been found in what have been<br />
interpreted as lakeshore and alluvial deposits (Singer</P><br />
<P STYLE="margin-bottom: 0in">et al., 1993). Although the dating of<br />
the Hoxne occupations is still somewhat</P><br />
<P STYLE="margin-bottom: 0in">tentative, much of the Clactonian<br />
occupation appears to have occurred during an</P><br />
<P STYLE="margin-bottom: 0in">interglacial period between about<br />
350,000 and 300,000 years ago. The associated</P><br />
<P STYLE="margin-bottom: 0in">fauna are dominated by large land<br />
mammals (especially horse and deer), but include</P><br />
<P STYLE="margin-bottom: 0in">numerous specimens of freshwater ﬁsh<br />
(pike, roach, stickleback, etc.) and beaver,</P></p>
<p><P STYLE="margin-bottom: 0in">and smaller numbers of otter and<br />
waterfowl (Stuart et al., 1993). The cultural</P><br />
<P STYLE="margin-bottom: 0in">origin of the aquatic and other faunal<br />
remains, like those from the Olduvai sites,</P><br />
<P STYLE="margin-bottom: 0in">has not been ﬁrmly established, but<br />
Stuart et al. (1993, p. 198) noted</P><br />
<P STYLE="margin-bottom: 0in">     that the distributions of all of<br />
the beaver Castor ﬁber and extinct beaver Trogontherium</P><br />
<P STYLE="margin-bottom: 0in">     cuvieri material . . . and most of<br />
the ﬁsh material . . . follow the same broad distribution</P><br />
<P STYLE="margin-bottom: 0in">     pattern as the larger bones,<br />
stones, and artifacts. This suggests that the remains of these taxa</P><br />
<P STYLE="margin-bottom: 0in">     also might be food remains<br />
accumulated by man. . . .</P></p>
<p><P STYLE="margin-bottom: 0in">Also in England, excavations at the<br />
Lower Paleolithic site of Clacton-on-Sea pro-</P><br />
<P STYLE="margin-bottom: 0in">duced ﬁsh and freshwater mussel<br />
remains (Singer et al., 1973), although the dating</P><br />
<P STYLE="margin-bottom: 0in">of the site (ca. 425,000 years (Singer<br />
et al., 1993, p. 219) or ca. 250,000 (Gamble,</P><br />
<P STYLE="margin-bottom: 0in">1986, p. 140)) and the cultural origin<br />
of the aquatic fauna remain uncertain.</P><br />
<P STYLE="margin-bottom: 0in">      About 300,000 years ago, archaic<br />
Homo sapiens also occupied Terra Amata</P><br />
<P STYLE="margin-bottom: 0in">along the Mediterranean coast of France<br />
(de Lumley, 1969; Villa, 1983). Mussels</P><br />
<P STYLE="margin-bottom: 0in">314<br />
                                     Erlandson</P><br />
<P STYLE="margin-bottom: 0in">and other marine shells were found at<br />
Terra Amata, but their context and quan-</P></p>
<p><P STYLE="margin-bottom: 0in">tity are poorly documented. Other early<br />
Old World evidence for shellﬁsh use</P><br />
<P STYLE="margin-bottom: 0in">comes from several North African Middle<br />
Paleolithic or Aterian sites like Haua</P><br />
<P STYLE="margin-bottom: 0in">Fteah in Libya (Klein and Scott, 1986;<br />
McBurney, 1967), Mugharet el’Aliya in</P><br />
<P STYLE="margin-bottom: 0in">Morocco (Howe, 1967), and several sites<br />
in Morocco and Algeria (D&acute; b&acute; neth and</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                 ee</P><br />
<P STYLE="margin-bottom: 0in">Sbihi-Alaoui, 1979; Roche and Texier,<br />
1976; Roubet, 1969; Souville, 1973). In</P></p>
<p><P STYLE="margin-bottom: 0in">southern Europe, Mousterian use of<br />
shellﬁsh is suggested by assemblages from</P><br />
<P STYLE="margin-bottom: 0in">Monte Circeo (Stiner, 1994) and<br />
Grimaldi caves (Stiner, 1999) in Italy, Ramandils</P><br />
<P STYLE="margin-bottom: 0in">in France (Cleyet-Merle and Madelaine,<br />
1995), and Devil’s Tower Rockshelter</P><br />
<P STYLE="margin-bottom: 0in">(Garrod et al., 1928), Gorham’s Cave<br />
(Waechter, 1964), and Vanguard Cave</P><br />
<P STYLE="margin-bottom: 0in">(Barton et al., 1999) in Gibraltar. At<br />
the Italian cave of Grotta Moscerini, ma-</P><br />
<P STYLE="margin-bottom: 0in">rine shells with ﬂaked edges suggest<br />
that shell tools were used by Neandertals</P><br />
<P STYLE="margin-bottom: 0in">between about 60,000 and 80,000 years<br />
ago (Stiner, 1994, pp. 187–188). For</P><br />
<P STYLE="margin-bottom: 0in">Neandertals and other archaic Homo<br />
sapiens living in coastal areas, there is little</P><br />
<P STYLE="margin-bottom: 0in">evidence for the exploitation of ﬁsh<br />
(but see Cleyet-Merle, 1990; Cleyet-Merle and</P></p>
<p><P STYLE="margin-bottom: 0in">Madelaine, 1995), and the exceptional<br />
cases may represent scavenging from the</P><br />
<P STYLE="margin-bottom: 0in">beach. Pinniped bones also are rare in<br />
Middle Paleolithic sites and may represent</P><br />
<P STYLE="margin-bottom: 0in">scavenging of stranded animals or<br />
carcasses. Nonetheless, there is little doubt that</P><br />
<P STYLE="margin-bottom: 0in">archaic Homo sapiens occupying the<br />
Mediterranean littoral actively foraged for</P><br />
<P STYLE="margin-bottom: 0in">shellﬁsh and other intertidal<br />
resources (Stiner, 1994, p. 216).</P><br />
<P STYLE="margin-bottom: 0in">      With the appearance of<br />
anatomically modern humans (Homo sapiens sapiens</P><br />
<P STYLE="margin-bottom: 0in">or AMH), beginning about 125,000 years<br />
ago, Old World evidence for the use of</P><br />
<P STYLE="margin-bottom: 0in">aquatic resources increases<br />
dramatically. This disparity is even more pronounced</P></p>
<p><P STYLE="margin-bottom: 0in">if the Aterian sites of northwest<br />
Africa are considered to be associated with early</P><br />
<P STYLE="margin-bottom: 0in">or nearly modern Homo sapiens sapiens<br />
groups (see Klein, 1999). The earliest</P><br />
<P STYLE="margin-bottom: 0in">evidence for such associations may come<br />
from a recently reported locality near</P><br />
<P STYLE="margin-bottom: 0in">Abdur in Eritrea along the Red Sea<br />
coast, where what are described as Middle</P><br />
<P STYLE="margin-bottom: 0in">Stone Age (MSA) stone tools were found<br />
with the remains of marine shells and</P><br />
<P STYLE="margin-bottom: 0in">other aquatic fauna in strata dated to<br />
about 125,000 year ago (Stringer, 2000;</P><br />
<P STYLE="margin-bottom: 0in">Walter et al., 2000). With the<br />
information currently available, however, it is not</P><br />
<P STYLE="margin-bottom: 0in">clear whether the stone artifacts were<br />
left by anatomically modern humans or if</P><br />
<P STYLE="margin-bottom: 0in">the faunal remains represent the food<br />
refuse of hominids. More secure and better-</P></p>
<p><P STYLE="margin-bottom: 0in">documented associations and evidence<br />
come from a series of MSA coastal sites</P><br />
<P STYLE="margin-bottom: 0in">in South Africa dating between about<br />
120,000 and 50,000 years ago, including</P><br />
<P STYLE="margin-bottom: 0in">Klasies River Mouth caves (Deacon and<br />
Deacon, 1999, pp. 102–106; Singer and</P><br />
<P STYLE="margin-bottom: 0in">Wymer, 1982), Die Kelders cave (Marean<br />
et al., 2000; Tankard and Schweitzer,</P><br />
<P STYLE="margin-bottom: 0in">1974), the Sea Harvest and Hoodjies<br />
Punt sites near Saldanha Bay (Volman, 1978),</P><br />
<P STYLE="margin-bottom: 0in">Herolds Bay Cave (Brink and Deacon,<br />
1982), the Boegoeberg 2 rockshelter (Klein,</P><br />
<P STYLE="margin-bottom: 0in">et al., 1999b), and Blombos Cave<br />
(Henshilwood and Sealy, 1997). At these sites,</P><br />
<P STYLE="margin-bottom: 0in">the earliest evidence for relatively<br />
diversiﬁed coastal (or mixed) economies is</P><br />
<P STYLE="margin-bottom: 0in">found, including the relatively<br />
intensive use of shellﬁsh, pinnipeds and cetaceans,</P></p>
<p><P STYLE="margin-bottom: 0in">and ﬂightless seabirds (i.e.,<br />
penguins). Fish remains are virtually absent from these</P><br />
<P STYLE="margin-bottom: 0in">coastal MSA localities (Klein and<br />
Cruz-Uribe, 2000), except for Blombos Cave</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                           315</P><br />
<P STYLE="margin-bottom: 0in">where a signiﬁcant number of large<br />
ﬁsh bones have been found in MSA shell</P><br />
<P STYLE="margin-bottom: 0in">midden strata associated with bone and<br />
stone projectile points (Henshilwood and</P><br />
<P STYLE="margin-bottom: 0in">Sealy, 1997). Initially estimated to be<br />
between about 50,000 and 60,000 years</P><br />
<P STYLE="margin-bottom: 0in">old, sediments capping the MSA levels<br />
at Blombos Cave have now been dated</P><br />
<P STYLE="margin-bottom: 0in">via thermoluminescence (TL) to<br />
approximately 100,000 years ago (Vogel et al.,</P><br />
<P STYLE="margin-bottom: 0in">1999). The dearth of ﬁsh in most<br />
South African sites led Klein (1995, 1998) and</P></p>
<p><P STYLE="margin-bottom: 0in">Klein and Cruz-Uribe (2000) to suggest<br />
that ﬁshing may have been beyond the</P><br />
<P STYLE="margin-bottom: 0in">intellectual or technological<br />
capabilities of early anatomically modern humans. It</P><br />
<P STYLE="margin-bottom: 0in">is possible, however, that the higher<br />
technological costs of marine ﬁshing generally</P><br />
<P STYLE="margin-bottom: 0in">discouraged such activities, just as<br />
ﬁshing seems to have been limited at most sites</P><br />
<P STYLE="margin-bottom: 0in">along the California coast during the<br />
early Holocene (Erlandson, 1994, but see</P><br />
<P STYLE="margin-bottom: 0in">Rick et al., in press). Along with the<br />
Blombos Cave ﬁsh remains, support for this</P><br />
<P STYLE="margin-bottom: 0in">latter idea comes from the carefully<br />
made barbed bone harpoon points found with</P><br />
<P STYLE="margin-bottom: 0in">the remains of numerous large<br />
freshwater ﬁsh at two MSA sites at Katanda on the</P><br />
<P STYLE="margin-bottom: 0in">Semliki River in Zaire (Brooks et al.,<br />
1995; Yellen, 1998; Yellen et al., 1995). Dated</P></p>
<p><P STYLE="margin-bottom: 0in">to about 80,000 years ago, the Katanda<br />
harpoons represent the earliest evidence for</P><br />
<P STYLE="margin-bottom: 0in">complex composite ﬁshing technologies<br />
in the world and add to the evidence for a</P><br />
<P STYLE="margin-bottom: 0in">signiﬁcant expansion of aquatic<br />
resource use among anatomically modern humans.</P><br />
<P STYLE="margin-bottom: 0in">      Similar barbed bone points also<br />
have been found associated with numerous</P><br />
<P STYLE="margin-bottom: 0in">ﬁsh bones at the Late Stone Age site<br />
of Ishango 14 on Lake Rutingaze (Edward)</P><br />
<P STYLE="margin-bottom: 0in">in Zaire, in strata dated to about<br />
20,000 radiocarbon years before present (RYBP)</P><br />
<P STYLE="margin-bottom: 0in">(Yellen, 1998). Fish bone is relatively<br />
abundant at some other Late Pleistocene</P><br />
<P STYLE="margin-bottom: 0in">African sites, including the White<br />
Paintings rockshelter in Botswana (Stewart,</P></p>
<p><P STYLE="margin-bottom: 0in">1994; Yellen, 1998) where the lower<br />
levels are tentatively dated to ca. 20,000</P><br />
<P STYLE="margin-bottom: 0in">years ago, and a series of Nile River<br />
sites dated between about 40,000 and 15,000</P><br />
<P STYLE="margin-bottom: 0in">RYBP. In coastal areas, little is known<br />
about aquatic resource use during this time</P><br />
<P STYLE="margin-bottom: 0in">period because sea levels were deeply<br />
depressed during the Last Glacial and most</P><br />
<P STYLE="margin-bottom: 0in">African coastlines were far removed<br />
from sites now located along the modern</P><br />
<P STYLE="margin-bottom: 0in">shore (see van Andel, 1989).</P><br />
<P STYLE="margin-bottom: 0in">      This same interval in southwest<br />
Asia and Europe also is problematic due to</P><br />
<P STYLE="margin-bottom: 0in">lowering sea levels and extensive<br />
glaciation. Numerous Upper Paleolithic sites in</P></p>
<p><P STYLE="margin-bottom: 0in">southern and southwest Europe have<br />
produced evidence for shellﬁsh collection</P><br />
<P STYLE="margin-bottom: 0in">and consumption. Shellﬁsh densities<br />
increase in many of these sites near the end</P><br />
<P STYLE="margin-bottom: 0in">of the Pleistocene (e.g., Straus, 1990;<br />
Straus et al., 1980, 1981), but it is not</P><br />
<P STYLE="margin-bottom: 0in">clear if this represents an<br />
intensiﬁcation of shellﬁshing in response to population</P><br />
<P STYLE="margin-bottom: 0in">growth, increased sedentism, changes in<br />
marine or estuarine environments, or</P><br />
<P STYLE="margin-bottom: 0in">a combination of such processes (see<br />
Bailey, 1983a,b; Clark and Straus, 1983;</P><br />
<P STYLE="margin-bottom: 0in">Straus and Clark, 1983). Numerous<br />
interior or pericoastal Upper Paleolithic sites</P><br />
<P STYLE="margin-bottom: 0in">in Europe and southwest Asia also have<br />
produced beads or other ornaments made</P><br />
<P STYLE="margin-bottom: 0in">from marine shells or artistic<br />
depictions of aquatic animals (Cleyet-Merle and</P></p>
<p><P STYLE="margin-bottom: 0in">Madelaine, 1995; Clottes and Courtin,<br />
1996; White, 1993). The presence of sizable</P><br />
<P STYLE="margin-bottom: 0in">numbers of marine shell ornaments, in<br />
some sites obtained from both Atlantic and</P><br />
<P STYLE="margin-bottom: 0in">Mediterranean coastlines more than 100<br />
km distant, suggests that interior people</P><br />
<P STYLE="margin-bottom: 0in">316<br />
                                    Erlandson</P><br />
<P STYLE="margin-bottom: 0in">traveled to the coast seasonally or<br />
actively traded with peoples living along these</P><br />
<P STYLE="margin-bottom: 0in">coasts.</P><br />
<P STYLE="margin-bottom: 0in">      In southern Asia, there is only<br />
limited evidence for aquatic resource use</P><br />
<P STYLE="margin-bottom: 0in">from this time period. In Indonesia, a<br />
freshwater shell midden known as Leang</P></p>
<p><P STYLE="margin-bottom: 0in">Burung attests to the systematic<br />
exploitation of shellﬁsh as much as 31,000 RYBP</P><br />
<P STYLE="margin-bottom: 0in">(Glover, 1981). At Longrien, a long<br />
Upper Paleolithic sequence contains very</P><br />
<P STYLE="margin-bottom: 0in">limited evidence for aquatic resource<br />
use, but produced a few bivalves from a</P><br />
<P STYLE="margin-bottom: 0in">layer dated to about 30,000 RYBP.<br />
Despite the current dearth of evidence, there</P><br />
<P STYLE="margin-bottom: 0in">can be little doubt that maritime or<br />
other aquatic peoples lived in Southeast Asia</P><br />
<P STYLE="margin-bottom: 0in">since at least 50,000 years ago.</P><br />
<P STYLE="margin-bottom: 0in">      The peopling of Australia and New<br />
Guinea testiﬁes to this, since migrating</P><br />
<P STYLE="margin-bottom: 0in">from Southeast Asia to Sahul would have<br />
required several substantial sea crossings</P></p>
<p><P STYLE="margin-bottom: 0in">even during periods of much lower sea<br />
level (Clark, 1991). Not surprisingly, early</P><br />
<P STYLE="margin-bottom: 0in">evidence for the use of freshwater ﬁsh<br />
and shellﬁsh comes from Australia, which</P><br />
<P STYLE="margin-bottom: 0in">now appears to have been settled by<br />
maritime peoples between about 50,000</P><br />
<P STYLE="margin-bottom: 0in">(Roberts et al., 1990) and 60,000 years<br />
ago (Thorne et al., 1999). Numerous</P><br />
<P STYLE="margin-bottom: 0in">freshwater shell middens from the<br />
Willandra Lakes area of southeast Australia have</P><br />
<P STYLE="margin-bottom: 0in">been radiocarbon dated between 38,000<br />
and 15,000 RYBP; Thorne et al. (1999)</P><br />
<P STYLE="margin-bottom: 0in">recently argued that some of these<br />
lacustrine occupations may date to as much</P><br />
<P STYLE="margin-bottom: 0in">as 60,000 years ago. Although evidence<br />
for intensive marine resource use in late</P><br />
<P STYLE="margin-bottom: 0in">Pleistocene Australia is lacking,<br />
several sites from western Australia have produced</P></p>
<p><P STYLE="margin-bottom: 0in">limited amounts of marine shell from<br />
strata dated between about 20,000 and 36,000</P><br />
<P STYLE="margin-bottom: 0in">RYBP (e.g., Bowdler, 1990; Morse, 1988;<br />
O’Connor, 1989; Veth, 1993). At Mandu</P><br />
<P STYLE="margin-bottom: 0in">Mandu Creek rockshelter, located only<br />
about 4–5 km from the coast just prior to</P><br />
<P STYLE="margin-bottom: 0in">the Last Glacial, a low-density midden<br />
deposit includes the remains of shellﬁsh,</P><br />
<P STYLE="margin-bottom: 0in">crab, ﬁsh, and terrestrial fauna<br />
(Bowdler, 1990; Morse, 1988). These sites could</P><br />
<P STYLE="margin-bottom: 0in">be interpreted as evidence for limited<br />
Pleistocene use of marine resources, but sea</P><br />
<P STYLE="margin-bottom: 0in">level and shoreline reconstructions<br />
show a strong correlation between the presence</P><br />
<P STYLE="margin-bottom: 0in">and density of marine resources and the<br />
variable distance of each site from the sea.</P><br />
<P STYLE="margin-bottom: 0in">The apparent abandonment of most of the<br />
sites during the height of the last glacial,</P></p>
<p><P STYLE="margin-bottom: 0in">and the fact that they were reoccupied<br />
when sea levels again approached modern</P><br />
<P STYLE="margin-bottom: 0in">levels, can be interpreted as evidence<br />
that the lateral migration of coastal habitats</P><br />
<P STYLE="margin-bottom: 0in">strongly inﬂuenced local settlement<br />
and subsistence patterns. Several saltwater</P><br />
<P STYLE="margin-bottom: 0in">shell middens located on the Melanesian<br />
islands of New Ireland, New Britain,</P><br />
<P STYLE="margin-bottom: 0in">and the Solomons—islands that<br />
required additional sea voyages of 80–100 km to</P><br />
<P STYLE="margin-bottom: 0in">reach—have been dated between about<br />
35,000 and 15,000 RYBP (Allen et al.,</P><br />
<P STYLE="margin-bottom: 0in">1989a,b; Wickler and Spriggs, 1988).<br />
The aquatic focus of these early Melanesian</P><br />
<P STYLE="margin-bottom: 0in">occupations is attested to not just by<br />
the seafaring required to settle the islands,</P><br />
<P STYLE="margin-bottom: 0in">but also by the abundance of marine<br />
shellﬁsh and ﬁsh remains found in the site</P></p>
<p><P STYLE="margin-bottom: 0in">deposits. The presence of such sites in<br />
western Melanesia, in contrast to Australia</P><br />
<P STYLE="margin-bottom: 0in">and New Guinea, is due to the steep<br />
local geography, where the bathymetry plunges</P><br />
<P STYLE="margin-bottom: 0in">rapidly into deep water and changes in<br />
sea level have had relatively limited effects</P><br />
<P STYLE="margin-bottom: 0in">on the local shorelines and the coastal<br />
archaeological record.</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                           317</P><br />
<P STYLE="margin-bottom: 0in">                               New<br />
World Localities</P><br />
<P STYLE="margin-bottom: 0in">      In the New World, most early<br />
evidence for human use of marine resources</P><br />
<P STYLE="margin-bottom: 0in">comes from the Paciﬁc Coast, where<br />
relatively steep bathymetry also has limited</P></p>
<p><P STYLE="margin-bottom: 0in">the lateral displacement of postglacial<br />
shorelines (Erlandson, in press; Richardson,</P><br />
<P STYLE="margin-bottom: 0in">1998). The earliest sites currently<br />
come from South America. In Chile, the con-</P><br />
<P STYLE="margin-bottom: 0in">troversial pericoastal site of Monte<br />
Verde has been dated to ca. 12,500 RYBP and</P><br />
<P STYLE="margin-bottom: 0in">reportedly contains evidence for<br />
coastal foraging, including four types of seaweed</P><br />
<P STYLE="margin-bottom: 0in">(Dillehay, 1997). At the coastal site<br />
of Querero, which has produced a suite of</P><br />
<P STYLE="margin-bottom: 0in">dates between about 11,600 and 10,900<br />
RYBP, marine shellﬁsh, sea lion, and</P><br />
<P STYLE="margin-bottom: 0in">whale remains were all found associated<br />
with those of mastodon, deer, and other</P><br />
<P STYLE="margin-bottom: 0in">land mammals (Nu˜ ez et al., 1994). At<br />
Quebrada de las Conchas on Chile’s north</P><br />
<P STYLE="margin-bottom: 0in">                     n</P></p>
<p><P STYLE="margin-bottom: 0in">coast, Llagostera (1979) also<br />
documented the existence of a diversiﬁed maritime</P><br />
<P STYLE="margin-bottom: 0in">economy including the use of a variety<br />
of shellﬁsh and ﬁsh between about 9700</P><br />
<P STYLE="margin-bottom: 0in">and 9400 RYBP.</P><br />
<P STYLE="margin-bottom: 0in">      Along the south coast of Peru,<br />
Sandweiss et al. (1998) reported an early</P><br />
<P STYLE="margin-bottom: 0in">component from Quebrada Jaguay, where<br />
shellﬁsh, ﬁsh, and sea bird remains</P><br />
<P STYLE="margin-bottom: 0in">have been found in strata dated between<br />
about 11,100 and 9,900 RYBP. The</P><br />
<P STYLE="margin-bottom: 0in">faunal remains at Quebrada Jaguay<br />
suggest an almost exclusive reliance on marine</P><br />
<P STYLE="margin-bottom: 0in">animals, but the presence of obsidian<br />
from a distant interior source suggests that the</P></p>
<p><P STYLE="margin-bottom: 0in">site may be just one aspect of a<br />
seasonal round that included interior sites as well</P><br />
<P STYLE="margin-bottom: 0in">(see Richardson, 1998). Also located on<br />
the southern Peruvian coast, and nearly</P><br />
<P STYLE="margin-bottom: 0in">as old (10,800–10,500 RYBP), is<br />
Quebrada Tacahuay, where the faunal remains</P><br />
<P STYLE="margin-bottom: 0in">from the earliest occupation are<br />
dominated by sea bird (cormorant, booby, and</P><br />
<P STYLE="margin-bottom: 0in">pelican) and ﬁsh (anchoveta, anchovy)<br />
bones, with a few shellﬁsh (clam, mussel)</P><br />
<P STYLE="margin-bottom: 0in">remains (Keefer et al., 1998). Of the<br />
3,775 faunal elements recovered from the</P><br />
<P STYLE="margin-bottom: 0in">basal stratum at Quebrada Tacahuay,<br />
only eight (0.2%) were from terrestrial taxa.</P><br />
<P STYLE="margin-bottom: 0in">A third site on the south coast, the<br />
Ring site, contains a shell midden that ﬁrst may</P><br />
<P STYLE="margin-bottom: 0in">have been occupied as early as 10,600<br />
RYBP (Sandweiss et al., 1989). Along the</P></p>
<p><P STYLE="margin-bottom: 0in">north coast of Peru, Richardson (1998)<br />
has described several ephemeral camps</P><br />
<P STYLE="margin-bottom: 0in">of the Amotape complex, where unifacial<br />
tools have been found associated with</P><br />
<P STYLE="margin-bottom: 0in">the remains of mangrove shellﬁsh<br />
(Anadara tuberculosa) dated to about 11,200,</P><br />
<P STYLE="margin-bottom: 0in">10,000, 9200, and 9000 RYBP (see also<br />
Llagostera, 1992). In Ecuador, coastal</P><br />
<P STYLE="margin-bottom: 0in">shell middens of the Las Vegas complex<br />
are now dated as early as 10,800–10,100</P><br />
<P STYLE="margin-bottom: 0in">RYBP (Richardson, 1998; Stothert,<br />
1985).</P><br />
<P STYLE="margin-bottom: 0in">      The meticulous work of Roosevelt<br />
et al. (1996) on Paleoindian components</P><br />
<P STYLE="margin-bottom: 0in">at Pedra Pintada cave in Brazil dated<br />
to ca. 11,000 RYBP also shows that freshwa-</P></p>
<p><P STYLE="margin-bottom: 0in">ter ﬁsh were an important component<br />
of an early Amazonian economy that was</P><br />
<P STYLE="margin-bottom: 0in">relatively eclectic and focused on<br />
smaller plant and animal resources.</P><br />
<P STYLE="margin-bottom: 0in">      Along the Paciﬁc Coast of North<br />
America, the earliest and best-documented</P><br />
<P STYLE="margin-bottom: 0in">maritime sites currently come primarily<br />
from California. On San Miguel Island off</P><br />
<P STYLE="margin-bottom: 0in">the California coast, Daisy Cave<br />
contains a thin dark soil containing a few chipped</P><br />
<P STYLE="margin-bottom: 0in">stone artifacts and a low-density shell<br />
midden containing abalone, mussel, turban,</P><br />
<P STYLE="margin-bottom: 0in">318<br />
                                   Erlandson</P><br />
<P STYLE="margin-bottom: 0in">and other shellﬁsh remains dated to<br />
about 10,400 RYBP (Erlandson et al., 1996).</P></p>
<p><P STYLE="margin-bottom: 0in">That humans were on California’s<br />
Channel Islands by the end of the Pleistocene</P><br />
<P STYLE="margin-bottom: 0in">has long been suggested by Orr’s 14 C<br />
dating of the Arlington ”Man” (probably a</P><br />
<P STYLE="margin-bottom: 0in">woman) skeleton to ca. 10,000 RYBP<br />
(Orr, 1968). Recent redating of this skeleton</P><br />
<P STYLE="margin-bottom: 0in">suggests that Arlington Woman actually<br />
may have died closer to 11,000 RYBP</P><br />
<P STYLE="margin-bottom: 0in">(Johnson et al., 2000), but a precise<br />
date has yet to be established. Since the</P><br />
<P STYLE="margin-bottom: 0in">Channel Islands have been separated<br />
from the California mainland throughout the</P><br />
<P STYLE="margin-bottom: 0in">Pleistocene, these two sites<br />
demonstrate that Paleoindian peoples had seaworthy</P><br />
<P STYLE="margin-bottom: 0in">boats during the terminal Pleistocene<br />
and leave little doubt about their maritime</P><br />
<P STYLE="margin-bottom: 0in">capabilities. Along the California<br />
coast, there are also dozens of shell middens</P></p>
<p><P STYLE="margin-bottom: 0in">dated between about 9,700 and 8,000<br />
RYBP (Erlandson, 1994; Erlandson and</P><br />
<P STYLE="margin-bottom: 0in">Moss, 1996; Jones, 1991). One of the<br />
best examples comes from Daisy Cave,</P><br />
<P STYLE="margin-bottom: 0in">where stratiﬁed shell midden deposits<br />
dated between about 9,700 and 7,800 RYBP</P><br />
<P STYLE="margin-bottom: 0in">contain abundant shellﬁsh and ﬁsh<br />
remains, smaller numbers of pinniped and sea</P><br />
<P STYLE="margin-bottom: 0in">bird remains, numerous bone ﬁshing<br />
gorges and shell beads, and woven artifacts</P><br />
<P STYLE="margin-bottom: 0in">made from sea grass (Connolly et al.,<br />
1995; Erlandson et al., 1996).</P><br />
<P STYLE="margin-bottom: 0in">      Along the coastlines of northern<br />
California, Oregon, and Washington, there</P><br />
<P STYLE="margin-bottom: 0in">are only two shell middens reliably<br />
dated to about 8,000 RYBP, Duncan’s Landing</P></p>
<p><P STYLE="margin-bottom: 0in">Rockshelter on the northern California<br />
coast and the Indian Sands site on the Ore-</P><br />
<P STYLE="margin-bottom: 0in">gon coast (Erlandson, 1994; Erlandson<br />
and Moss, 1996; Lightfoot, 1993; Moss</P><br />
<P STYLE="margin-bottom: 0in">and Erlandson, 1995). The dearth of<br />
early sites in this intermediate area of the</P><br />
<P STYLE="margin-bottom: 0in">Paciﬁc Coast now appears to be<br />
related to a long history of occasional massive</P><br />
<P STYLE="margin-bottom: 0in">subsidence earthquakes along the<br />
Cascadia Subduction Zone, tectonic events com-</P><br />
<P STYLE="margin-bottom: 0in">monly associated with tsunamis and<br />
severe marine erosion (Erlandson et al., 1998;</P><br />
<P STYLE="margin-bottom: 0in">Minor and Grant, 1996). In British<br />
Columbia and southern Alaska, a number of</P><br />
<P STYLE="margin-bottom: 0in">early coastal sites dated between about<br />
8,000 and 10,000 RYBP have been docu-</P><br />
<P STYLE="margin-bottom: 0in">mented (Carlson, 1998; Erlandson and<br />
Moss, 1996; Fedje and Christensen, 1999;</P></p>
<p><P STYLE="margin-bottom: 0in">Moss, 1998), including portions of a<br />
human skeleton found in a cave known as 49-</P><br />
<P STYLE="margin-bottom: 0in">PET-408 (On-Your-Knees Cave) on Prince<br />
of Wales Island dated to approximately</P><br />
<P STYLE="margin-bottom: 0in">9,200 RYBP (Dixon, 1999, p. 118). The<br />
isotopic composition of this skeleton is</P><br />
<P STYLE="margin-bottom: 0in">consistent with a diet comprised almost<br />
entirely of marine foods. A bone tool</P><br />
<P STYLE="margin-bottom: 0in">manufactured from a land mammal rib<br />
found in another part of the same cave</P><br />
<P STYLE="margin-bottom: 0in">has been dated to about 10,300 RYBP<br />
(Dixon, 1999, p. 181), suggesting that the</P><br />
<P STYLE="margin-bottom: 0in">site may have been occupied even<br />
earlier. This terminal Pleistocene date is similar</P><br />
<P STYLE="margin-bottom: 0in">to the estimated age of a basalt ﬂake<br />
recovered from the surface of a paleodelta</P><br />
<P STYLE="margin-bottom: 0in">deposit located on the continental<br />
shelf off the Queen Charlotte Islands of British</P></p>
<p><P STYLE="margin-bottom: 0in">Columbia (Fedje and Christensen, 1999),<br />
although these early dates should be</P><br />
<P STYLE="margin-bottom: 0in">regarded as very preliminary.</P><br />
<P STYLE="margin-bottom: 0in">      Adjacent to the generally broader<br />
and shallower continental shelves of the</P><br />
<P STYLE="margin-bottom: 0in">Gulf of Mexico and Atlantic coasts,<br />
early coastal archaeological sites are much less</P><br />
<P STYLE="margin-bottom: 0in">common. On the Louisiana coast, where<br />
shorelines of the Mississippi delta have</P><br />
<P STYLE="margin-bottom: 0in">been prograding for millennia, Gagliano<br />
(1970) reported estuarine shell associated</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                          319</P><br />
<P STYLE="margin-bottom: 0in">with an 11,000-year-old archaeological<br />
site at Avery Island. Off the Gulf Coast,</P></p>
<p><P STYLE="margin-bottom: 0in">near the intersection of a creek and<br />
the submerged channel of the Sabine River by</P><br />
<P STYLE="margin-bottom: 0in">the Louisiana and Texas border, Dunbar<br />
(1997) noted the presence of a submerged</P><br />
<P STYLE="margin-bottom: 0in">shell midden dated to about 8,500 RYBP<br />
that contains both burned and unburned</P><br />
<P STYLE="margin-bottom: 0in">ﬁsh bone.</P><br />
<P STYLE="margin-bottom: 0in">      Along the Atlantic Coast of North<br />
America, shell middens dating earlier than</P><br />
<P STYLE="margin-bottom: 0in">about 8,000 years are extremely rare.<br />
Along most of the Florida coast, for in-</P><br />
<P STYLE="margin-bottom: 0in">stance, the Clovis-age shoreline is<br />
believed to have been between about 50 and</P><br />
<P STYLE="margin-bottom: 0in">150 km offshore (see Dunbar et al.,<br />
1992, p. 125). Consequently, postglacial shore-</P></p>
<p><P STYLE="margin-bottom: 0in">line changes have been dramatic in most<br />
areas, Florida coast shell middens more</P><br />
<P STYLE="margin-bottom: 0in">than about 5,000 years old are highly<br />
unusual, and a number of submerged shell</P><br />
<P STYLE="margin-bottom: 0in">middens have been found. One exception<br />
to this pattern is the Cutler Ridge site,</P><br />
<P STYLE="margin-bottom: 0in">located adjacent to a narrow stretch of<br />
continental shelf near Miami, where lateral</P><br />
<P STYLE="margin-bottom: 0in">shoreline changes associated with<br />
postglacial sea level rise have been minimal.</P><br />
<P STYLE="margin-bottom: 0in">This important site, dated to as much<br />
as 9,600 RYBP but largely unpublished,</P><br />
<P STYLE="margin-bottom: 0in">reportedly has produced the remains of<br />
a variety of marine ﬁsh (tuna, shark, etc.)</P><br />
<P STYLE="margin-bottom: 0in">and shellﬁsh (Dunbar, 1997).</P><br />
<P STYLE="margin-bottom: 0in">      Although interior Paleoindian<br />
groups are often portrayed as relatively special-</P></p>
<p><P STYLE="margin-bottom: 0in">ized big-game hunters, there is<br />
evidence for the use of aquatic resources at a number</P><br />
<P STYLE="margin-bottom: 0in">of early sites. These include the<br />
Broken Mammoth site in south-central Alaska,</P><br />
<P STYLE="margin-bottom: 0in">where two well-stratiﬁed terminal<br />
Pleistocene components have been identiﬁed,</P><br />
<P STYLE="margin-bottom: 0in">one dating between about 11,800 and<br />
11,000 RYBP and another between about</P><br />
<P STYLE="margin-bottom: 0in">10,300 and 9,600 RYBP (Yesner, 1996).<br />
Faunal remains are well preserved in these</P><br />
<P STYLE="margin-bottom: 0in">early components. Identiﬁable<br />
elements from the older component are dominated</P><br />
<P STYLE="margin-bottom: 0in">(&gt;60%) by aquatic birds (swan,<br />
geese, and ducks), but also include some large</P><br />
<P STYLE="margin-bottom: 0in">and small land mammals (wapiti, bison,<br />
etc.). The younger of these components</P></p>
<p><P STYLE="margin-bottom: 0in">is dominated by the remains of large<br />
ungulates, but also contains about 30% small</P><br />
<P STYLE="margin-bottom: 0in">mammals, 10% waterfowl, and smaller<br />
numbers of salmonid, beaver, and otter</P><br />
<P STYLE="margin-bottom: 0in">remains. Another Paleoindian component<br />
containing the remains of aquatic fauna</P><br />
<P STYLE="margin-bottom: 0in">is the Lewisville Clovis site located<br />
along the Trinity River in north-central Texas,</P><br />
<P STYLE="margin-bottom: 0in">where archaeological deposits<br />
associated with numerous hearths yielded a diverse</P><br />
<P STYLE="margin-bottom: 0in">array of plant and animal remains. Of<br />
the 16 hearths excavated, 9 contained the</P><br />
<P STYLE="margin-bottom: 0in">remains of freshwater mussel and snail<br />
shells—many of them burned. Also recov-</P><br />
<P STYLE="margin-bottom: 0in">ered were the remains of box turtle,<br />
ﬁsh, amphibians, prairie dog, rabbit, tortoise,</P><br />
<P STYLE="margin-bottom: 0in">egg shells, raccoon, snake, etc. (Story<br />
et al., 1990). At the Horn Shelter 2 site lo-</P></p>
<p><P STYLE="margin-bottom: 0in">cated along the Brazos River,<br />
Clovis-age deposits also yielded the remains of land</P><br />
<P STYLE="margin-bottom: 0in">turtles and a few ﬁsh remains. A<br />
younger component at the site, dated between</P><br />
<P STYLE="margin-bottom: 0in">about 10,000 and 9,500 RYBP, also<br />
produced a diverse faunal assemblage, includ-</P><br />
<P STYLE="margin-bottom: 0in">ing the remains of many freshwater<br />
mussels and ﬁsh such as drum, gar, and catﬁsh,</P><br />
<P STYLE="margin-bottom: 0in">along with a double human burial<br />
associated with numerous beads made from the</P><br />
<P STYLE="margin-bottom: 0in">marine shells Oliva sayana and Neritina<br />
reclivita (Story et al., 1990, pp. 203–204).</P><br />
<P STYLE="margin-bottom: 0in">Another early North American site is a<br />
small rockshelter (CA-SIS-218) located</P><br />
<P STYLE="margin-bottom: 0in">320<br />
                                      Erlandson</P><br />
<P STYLE="margin-bottom: 0in">on the shore of Tule Lake in northern<br />
California, where Beaton (1991) identiﬁed</P></p>
<p><P STYLE="margin-bottom: 0in">a hearth dated to 11,450 &plusmn; 340<br />
RYBP associated with charcoal, ash, and ﬁsh, wa-</P><br />
<P STYLE="margin-bottom: 0in">terfowl, and mammal bones. At Marmes<br />
Rockshelter in Washington, freshwater</P><br />
<P STYLE="margin-bottom: 0in">mussels and salmon bones are reported<br />
from deposits dated between about 10,000</P><br />
<P STYLE="margin-bottom: 0in">and 11,000 RYBP.</P><br />
<P STYLE="margin-bottom: 0in">                       Shellﬁsh<br />
Feeders and Carrion Eaters</P><br />
<P STYLE="margin-bottom: 0in">      Globally, the growing number of<br />
early sites known to contain the remains of</P><br />
<P STYLE="margin-bottom: 0in">shellﬁsh, ﬁsh, sea birds, sea<br />
mammals, and other aquatic fauna may indicate that</P></p>
<p><P STYLE="margin-bottom: 0in">aquatic resources were used relatively<br />
early in human history, by Homo habilis,</P><br />
<P STYLE="margin-bottom: 0in">H. erectus, and H. sapiens. Due to a<br />
variety of questions about the context, taphon-</P><br />
<P STYLE="margin-bottom: 0in">omy, recovery, and interpretation of<br />
many ancient faunal assemblages, however,</P><br />
<P STYLE="margin-bottom: 0in">it is difﬁcult to evaluate how<br />
signiﬁcant aquatic resources were in early hominid</P><br />
<P STYLE="margin-bottom: 0in">economies. Moreover, lists like those<br />
presented here suffer from another problem</P><br />
<P STYLE="margin-bottom: 0in">that must be addressed before we can<br />
conclude that even incidental use of aquatic</P><br />
<P STYLE="margin-bottom: 0in">resources was both early and<br />
widespread. This problem is the possible role various</P><br />
<P STYLE="margin-bottom: 0in">animals and other noncultural processes<br />
may have played in the accumulation of</P><br />
<P STYLE="margin-bottom: 0in">aquatic animal remains in early sites<br />
(see Butler, 1993; Erlandson and Moss, in</P></p>
<p><P STYLE="margin-bottom: 0in">press). Although recent taphonomic<br />
studies show that a wide range of scavengers</P><br />
<P STYLE="margin-bottom: 0in">and predators transport bones into<br />
caves and other sites, few have considered the</P><br />
<P STYLE="margin-bottom: 0in">possibility that animals and not humans<br />
may have transported marine shells, ﬁsh</P><br />
<P STYLE="margin-bottom: 0in">bones, or sea mammal remains into early<br />
coastal sites.</P><br />
<P STYLE="margin-bottom: 0in">      After visiting several<br />
Paleolithic cave sites in Gibraltar in the mid-1980s, I</P><br />
<P STYLE="margin-bottom: 0in">did not initially question whether the<br />
remains of marine shellﬁsh and ﬁsh found</P><br />
<P STYLE="margin-bottom: 0in">in the site deposits (other than a<br />
clearly deﬁned Last Interglacial beach) could</P><br />
<P STYLE="margin-bottom: 0in">have been deposited by anything other<br />
than humans. In her detailed taphonomic</P></p>
<p><P STYLE="margin-bottom: 0in">analysis of faunal remains from the<br />
Monte Circeo caves in Italy, Stiner (1994)</P><br />
<P STYLE="margin-bottom: 0in">considered a host of possible sources<br />
for animal bones but considered only cul-</P><br />
<P STYLE="margin-bottom: 0in">tural mechanisms for the accumulation<br />
of shellﬁsh remains. Recent research has</P><br />
<P STYLE="margin-bottom: 0in">shown, however, that a wide range of<br />
predators and scavengers—bears, hyenas,</P><br />
<P STYLE="margin-bottom: 0in">coyotes, badgers, cats, and a variety<br />
of birds—transport the remains of aquatic</P><br />
<P STYLE="margin-bottom: 0in">vertebrates (seals, ﬁsh, birds, etc.)<br />
and invertebrates (shellﬁsh, etc.) to terrestrial</P><br />
<P STYLE="margin-bottom: 0in">landforms (e.g., Erlandson and Moss, in<br />
press; Jones and Allen, 1978; Klein et al.,</P><br />
<P STYLE="margin-bottom: 0in">1999b). Caves and rockshelters, in<br />
particular, provide shelter for a wide variety</P></p>
<p><P STYLE="margin-bottom: 0in">of mammals and birds that hunt or<br />
scavenge in aquatic habitats and may deposit</P><br />
<P STYLE="margin-bottom: 0in">carcasses or skeletal remains at site<br />
locations where they can be mixed with fau-</P><br />
<P STYLE="margin-bottom: 0in">nal remains left by hominids.<br />
Archaeologists, therefore, must carefully evaluate</P><br />
<P STYLE="margin-bottom: 0in">the nature of terrestrial and aquatic<br />
faunal remains found in both cave and open</P><br />
<P STYLE="margin-bottom: 0in">sites to determine whether the activity<br />
of nonhuman predators or scavengers has</P><br />
<P STYLE="margin-bottom: 0in">contributed signiﬁcantly to the<br />
faunal remains present at a site.</P><br />
<P STYLE="margin-bottom: 0in">      Unfortunately, such careful<br />
evaluations have rarely been done, and it is either</P><br />
<P STYLE="margin-bottom: 0in">difﬁcult or impossible to evaluate<br />
the cultural origin of the aquatic fauna in many of</P></p>
<p><P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                               321</P><br />
<P STYLE="margin-bottom: 0in">the sites listed in Tables I and II.<br />
With a more critical eye toward the origin of aquatic</P><br />
<P STYLE="margin-bottom: 0in">remains in early sites, the evidence<br />
for early aquatic resource use at some key</P><br />
<P STYLE="margin-bottom: 0in">localities may need to be reassessed.<br />
Gorham’s Cave produced hundreds of marine</P><br />
<P STYLE="margin-bottom: 0in">shells, for instance, but my<br />
observations suggest that these were widely scattered</P><br />
<P STYLE="margin-bottom: 0in">in the cave deposits. Gorham’s Cave<br />
also produced the remains of a wide variety</P><br />
<P STYLE="margin-bottom: 0in">of birds, including seagulls and others<br />
known to feed on and transport shellﬁsh</P><br />
<P STYLE="margin-bottom: 0in">(Erlandson and Moss, in press). Without<br />
further evidence to link these aquatic fauna</P><br />
<P STYLE="margin-bottom: 0in">to cultural activities, we cannot be<br />
certain how signiﬁcant aquatic foods were to the</P></p>
<p><P STYLE="margin-bottom: 0in">Neandertal and Upper Paleolithic cave<br />
occupants (but see Barton et al., 1999). At</P><br />
<P STYLE="margin-bottom: 0in">present, similar questions can be<br />
raised about virtually all of the Lower Paleolithic</P><br />
<P STYLE="margin-bottom: 0in">sites listed above, as well as the<br />
Mugharet el’Aliya in Morocco where monk seal,</P><br />
<P STYLE="margin-bottom: 0in">ﬁsh, and shellﬁsh remains were<br />
found in Paleolithic layers (Arambourg, 1967;</P><br />
<P STYLE="margin-bottom: 0in">Howe, 1967). In the New World, similar<br />
questions have been raised about some</P><br />
<P STYLE="margin-bottom: 0in">Pleistocene or Early Holocene “shell<br />
middens” located on California’s northern</P><br />
<P STYLE="margin-bottom: 0in">Channel Islands (e.g., Erlandson, 1994,<br />
pp. 183, 196; Erlandson and Morris, 1992;</P><br />
<P STYLE="margin-bottom: 0in">Erlandson and Moss, in press).</P><br />
<P STYLE="margin-bottom: 0in">      For other sites, the Middle Stone<br />
Age middens of South Africa promi-</P></p>
<p><P STYLE="margin-bottom: 0in">nent among them (but see Klein et al.,<br />
1999a,b), the evidence linking hominids</P><br />
<P STYLE="margin-bottom: 0in">with aquatic resource use seems much<br />
more secure. In the Mousterian levels at</P><br />
<P STYLE="margin-bottom: 0in">Devil’s Tower, for instance, Garrod<br />
et al. (1928, p. 42) described “thick layers” and</P><br />
<P STYLE="margin-bottom: 0in">a “large heap” of shells associated<br />
with hearths. At Grotta Moscerini in Italy, Stiner</P><br />
<P STYLE="margin-bottom: 0in">(1994, pp. 181–184) found that a<br />
signiﬁcant percentage of the marine shells was</P><br />
<P STYLE="margin-bottom: 0in">burned, suggesting that they too were<br />
deliberately collected by Neandertals. Other</P><br />
<P STYLE="margin-bottom: 0in">Old World examples include many of the<br />
freshwater shell middens of Willandra</P><br />
<P STYLE="margin-bottom: 0in">Lakes in Australia and the Pleistocene<br />
middens of Melanesia (Allen et al., 1989a,b;</P><br />
<P STYLE="margin-bottom: 0in">Wickler and Spriggs, 1988). In the New<br />
World, there seems to be little question</P></p>
<p><P STYLE="margin-bottom: 0in">about the predominantly cultural origin<br />
of the aquatic fauna found at most of the</P><br />
<P STYLE="margin-bottom: 0in">open air middens along the Paciﬁc<br />
Coast. Early components at Daisy Cave, Broken</P><br />
<P STYLE="margin-bottom: 0in">Mammoth, and Lewisville also seem<br />
relatively secure.</P><br />
<P STYLE="margin-bottom: 0in">                     The Distribution<br />
of Early Coastal Localities</P><br />
<P STYLE="margin-bottom: 0in">      Even allowing for such<br />
uncertainties about the origin of aquatic faunal</P><br />
<P STYLE="margin-bottom: 0in">remains—often even more serious for<br />
the remains of terrestrial fauna found at</P><br />
<P STYLE="margin-bottom: 0in">early sites—a signiﬁcant number of<br />
Paleolithic localities with secure evidence for</P><br />
<P STYLE="margin-bottom: 0in">systematic early aquatic resource use<br />
are now relatively well documented. The</P></p>
<p><P STYLE="margin-bottom: 0in">spatial and temporal distribution of<br />
these early sites, particularly the coastal ex-</P><br />
<P STYLE="margin-bottom: 0in">amples, is of special interest. Yesner<br />
(1987, 1998, p. 205) suggested, for instance,</P><br />
<P STYLE="margin-bottom: 0in">that such sites are exceptional and are<br />
located in areas of upwelling and unusu-</P><br />
<P STYLE="margin-bottom: 0in">ally high marine productivity. Thus<br />
such early coastal sites are often viewed as</P><br />
<P STYLE="margin-bottom: 0in">rare examples of relatively intensive<br />
aquatic resource use in a Pleistocene world</P><br />
<P STYLE="margin-bottom: 0in">otherwise dominated by terrestrial<br />
economies.</P><br />
<P STYLE="margin-bottom: 0in">322<br />
                                       Erlandson</P><br />
<P STYLE="margin-bottom: 0in">      This association holds for some<br />
early coastal localities, but it does not explain</P></p>
<p><P STYLE="margin-bottom: 0in">the evidence for early marine resource<br />
use at several early Mediterranean sites</P><br />
<P STYLE="margin-bottom: 0in">in Italy, Lebanon, Libya, and Algeria<br />
(see Klein and Scott, 1986; McBurney,</P><br />
<P STYLE="margin-bottom: 0in">1967; Stiner, 1994), where marine<br />
productivity is comparatively low by global</P><br />
<P STYLE="margin-bottom: 0in">standards. My own comparison of the<br />
distribution of early coastal sites leads to a</P><br />
<P STYLE="margin-bottom: 0in">different conclusion. While a number of<br />
early sites are found in areas of intense</P><br />
<P STYLE="margin-bottom: 0in">upwelling (Peru, California, Gibraltar,<br />
etc.), many others are not. Comparing the</P><br />
<P STYLE="margin-bottom: 0in">distribution of coastal sites to<br />
various physical and biological characteristics in</P><br />
<P STYLE="margin-bottom: 0in">an atlas of the world’s oceans<br />
(Couper, 1989), I found no clear correlation with</P><br />
<P STYLE="margin-bottom: 0in">intensive marine upwelling, exceptional<br />
primary (phytoplankton) or secondary</P></p>
<p><P STYLE="margin-bottom: 0in">(zooplankton) productivity, sea<br />
temperature, salinity, latitude, tidal range, tectonics</P><br />
<P STYLE="margin-bottom: 0in">or vulcanism, marine habitat, or<br />
terrestrial habitat. In fact, relatively early sites are</P><br />
<P STYLE="margin-bottom: 0in">found in areas of coral reefs,<br />
temperate seas, and even arctic or subarctic coasts</P><br />
<P STYLE="margin-bottom: 0in">(by 8,000–10,000 years ago). They are<br />
found adjacent to tundra environments,</P><br />
<P STYLE="margin-bottom: 0in">boreal forests, savanna, chaparral, and<br />
hyperarid landscapes, including some where</P><br />
<P STYLE="margin-bottom: 0in">contemporary interior sites contain<br />
relatively abundant remains of large terrestrial</P><br />
<P STYLE="margin-bottom: 0in">game.</P><br />
<P STYLE="margin-bottom: 0in">      I found only one trait that seems<br />
to link the early coastal localities: steep</P></p>
<p><P STYLE="margin-bottom: 0in">bathymetry. From California to Florida<br />
and from Melanesia to the Mediterranean,</P><br />
<P STYLE="margin-bottom: 0in">all the early sites are located along<br />
relatively steep shorelines where the offshore</P><br />
<P STYLE="margin-bottom: 0in">topography drops off rapidly. The<br />
opposite also holds true, with areas of broad and</P><br />
<P STYLE="margin-bottom: 0in">shallow continental shelves generally<br />
producing only relatively recent evidence</P><br />
<P STYLE="margin-bottom: 0in">for marine resource use, regardless of<br />
the intensity of marine upwelling. This</P><br />
<P STYLE="margin-bottom: 0in">is due to the simple fact, clearly<br />
demonstrated by several elegant studies (e.g.,</P><br />
<P STYLE="margin-bottom: 0in">Parkington, 1981; Shackleton et al.,<br />
1984), that most localities situated along</P><br />
<P STYLE="margin-bottom: 0in">modern coastlines were far removed from<br />
coastal habitats during most of the last</P><br />
<P STYLE="margin-bottom: 0in">250,000 years and more. Studies of<br />
historical foragers in coastal habitats have</P></p>
<p><P STYLE="margin-bottom: 0in">shown that the skeletal remains of<br />
edible aquatic animals are rarely transported to</P><br />
<P STYLE="margin-bottom: 0in">residential sites more than about 10 km<br />
from the coast (Bigalke, 1973; Meehan,</P><br />
<P STYLE="margin-bottom: 0in">1982), except for those that have<br />
ornamental or other utilitarian value. Where</P><br />
<P STYLE="margin-bottom: 0in">shorelines are steep, however, sites<br />
still preserved above sea level may sometimes</P><br />
<P STYLE="margin-bottom: 0in">be found within the foraging radius of<br />
ancient coastal habitats. The occupants of</P><br />
<P STYLE="margin-bottom: 0in">sites located along shallow continental<br />
shelves, on the other hand, may only have</P><br />
<P STYLE="margin-bottom: 0in">had access to marine resources for the<br />
last 5,000–8,000 years, as local sea levels</P><br />
<P STYLE="margin-bottom: 0in">and shorelines approached the modern<br />
condition.</P><br />
<P STYLE="margin-bottom: 0in">      This general bathymetric<br />
correlation (which I call Richardson’s Rule)—in</P></p>
<p><P STYLE="margin-bottom: 0in">which steep shorelines are associated<br />
with relatively early evidence for marine</P><br />
<P STYLE="margin-bottom: 0in">resource use, while shallow shelves<br />
yield relatively recent evidence—is a much</P><br />
<P STYLE="margin-bottom: 0in">stronger predictor of the location of<br />
early coastal sites than upwelling or any of the</P><br />
<P STYLE="margin-bottom: 0in">other aquatic or terrestrial traits I<br />
examined. Furthermore, Richardson’s Rule helps</P><br />
<P STYLE="margin-bottom: 0in">explain some puzzling anomalies. It<br />
explains, for instance, why early coastal sites</P><br />
<P STYLE="margin-bottom: 0in">are much more common along the<br />
generally steep Paciﬁc Coast versus the relatively</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                           323</P><br />
<P STYLE="margin-bottom: 0in">shallow Atlantic Coast of the United<br />
States. It explains why along the Peruvian</P><br />
<P STYLE="margin-bottom: 0in">coast, all of which is characterized by<br />
upwelling and high marine productivity,</P></p>
<p><P STYLE="margin-bottom: 0in">the earliest coastal sites are<br />
differentially distributed in areas of relatively steep</P><br />
<P STYLE="margin-bottom: 0in">bathymetry (Richardson, 1998). Finally,<br />
it helps explain why along most of the</P><br />
<P STYLE="margin-bottom: 0in">Florida coast, where beaches were as<br />
much as 100 km offshore about 14,000 years</P><br />
<P STYLE="margin-bottom: 0in">ago, the modern shoreline has produced<br />
evidence for maritime adaptations no more</P><br />
<P STYLE="margin-bottom: 0in">than about 5,000 years old, except for<br />
the steeply plunging shorelines near Miami</P><br />
<P STYLE="margin-bottom: 0in">where the Cutler Ridge site contains<br />
evidence for marine ﬁshing and other coastal</P><br />
<P STYLE="margin-bottom: 0in">foraging dated to about 9,600 RYBP.</P><br />
<P STYLE="margin-bottom: 0in">      The correlation between steep<br />
bathymetry and the location of early coastal</P></p>
<p><P STYLE="margin-bottom: 0in">sites also seems to contradict two<br />
tenets of traditional theories about maritime</P><br />
<P STYLE="margin-bottom: 0in">adaptations, (1) that steep bathymetry,<br />
which generally limits the extent of inter-</P><br />
<P STYLE="margin-bottom: 0in">tidal and nearshore habitats, reduces<br />
the productivity of such marine environments</P><br />
<P STYLE="margin-bottom: 0in">and renders them relatively<br />
unattractive to humans; and (2) widespread maritime</P><br />
<P STYLE="margin-bottom: 0in">adaptations only developed in the<br />
Holocene after sea level stabilization led to the</P><br />
<P STYLE="margin-bottom: 0in">development of relatively broad,<br />
shallow, and productive nearshore habitats. My</P><br />
<P STYLE="margin-bottom: 0in">analysis of the distribution of early<br />
coastal localities suggests that many coastal</P><br />
<P STYLE="margin-bottom: 0in">habitats are more productive than<br />
previously envisioned, that Pleistocene mar-</P><br />
<P STYLE="margin-bottom: 0in">itime adaptations were more widespread<br />
than previously thought, and that the</P></p>
<p><P STYLE="margin-bottom: 0in">archaeological record for the antiquity<br />
of coastal adaptations is fundamentally</P><br />
<P STYLE="margin-bottom: 0in">biased in most parts of the world.</P><br />
<P STYLE="margin-bottom: 0in">                            The<br />
Antiquity of Seafaring</P><br />
<P STYLE="margin-bottom: 0in">      Further support for this<br />
viewpoint comes from recent evidence for a relatively</P><br />
<P STYLE="margin-bottom: 0in">early development of seafaring in<br />
several parts of the world, including evidence</P><br />
<P STYLE="margin-bottom: 0in">for Pleistocene maritime voyaging in<br />
areas where the oldest coastal shell middens</P><br />
<P STYLE="margin-bottom: 0in">date to the Holocene. For decades, the<br />
idea that our Pleistocene ancestors may</P><br />
<P STYLE="margin-bottom: 0in">have made substantial migrations by<br />
boat suffered from the same theories that</P></p>
<p><P STYLE="margin-bottom: 0in">marginalized maritime adaptations in<br />
general and argued that our ancestors were</P><br />
<P STYLE="margin-bottom: 0in">relatively unsophisticated<br />
technologically. There is little question that hominids</P><br />
<P STYLE="margin-bottom: 0in">must have crossed rivers and other<br />
short water barriers in spreading out of Africa</P><br />
<P STYLE="margin-bottom: 0in">and through Eurasia. Prior to 1980,<br />
however, there was virtual unanimity that boats</P><br />
<P STYLE="margin-bottom: 0in">were a very recent addition to human<br />
technologies (e.g., Bass, 1972; Greenhill,</P><br />
<P STYLE="margin-bottom: 0in">1976; Johnstone, 1980, p. xv). Due to<br />
preservation problems, evidence for the</P><br />
<P STYLE="margin-bottom: 0in">earliest use of boats—as opposed to<br />
simple logs or ﬂoats that allowed hominids</P><br />
<P STYLE="margin-bottom: 0in">to cross small water barriers while<br />
partly submerged—remains lost in obscurity,</P><br />
<P STYLE="margin-bottom: 0in">depending primarily on indirect<br />
evidence for the colonization of island groups</P></p>
<p><P STYLE="margin-bottom: 0in">(Table III). Except for the<br />
long-distance voyaging evident among Austronesian</P><br />
<P STYLE="margin-bottom: 0in">and other peoples in the last 5,000<br />
years or so, such evidence requires the presence</P><br />
<P STYLE="margin-bottom: 0in">of not-too-distant islands that have<br />
been separated from continental land masses</P><br />
<P STYLE="margin-bottom: 0in">in recent geological times, criteria<br />
many regions of the world cannot meet.</P><br />
<P STYLE="margin-bottom: 0in">324<br />
                                    Erlandson</P><br />
<P STYLE="margin-bottom: 0in">      Archaeologists have long argued<br />
inconclusively both for and against the idea</P><br />
<P STYLE="margin-bottom: 0in">that Homo erectus was capable of making<br />
the relatively short crossing (&lt;20 km)</P><br />
<P STYLE="margin-bottom: 0in">of the Straits of Gibraltar from<br />
Morocco to the Iberian Peninsula (see Cachel</P></p>
<p><P STYLE="margin-bottom: 0in">and Harris, 1998; Rolland, 1998). As<br />
evidence accumulates for a relatively long</P><br />
<P STYLE="margin-bottom: 0in">isolation of Neandertals in western<br />
Europe (e.g., Krings et al., 1997), however,</P><br />
<P STYLE="margin-bottom: 0in">it seems increasingly unlikely that<br />
archaic Homo sapiens had the capability to</P><br />
<P STYLE="margin-bottom: 0in">routinely cross the potentially<br />
hazardous Straits of Gibraltar. Elsewhere in the</P><br />
<P STYLE="margin-bottom: 0in">Mediterranean, there is limited but<br />
more convincing evidence for occasional island</P><br />
<P STYLE="margin-bottom: 0in">exploration by Neandertals (Cherry,<br />
1990). For Southeast Asia, recent evidence</P><br />
<P STYLE="margin-bottom: 0in">may indicate that Homo erectus reached<br />
the Indonesian island of Flores as much as</P><br />
<P STYLE="margin-bottom: 0in">700,000–800,000 years ago (Morwood et<br />
al., 1998, 1999; Sondaar et al., 1994), and</P><br />
<P STYLE="margin-bottom: 0in">Bednarik (1998) and Bednarik et al.<br />
(1999) proposed that relatively sophisticated</P></p>
<p><P STYLE="margin-bottom: 0in">seafaring and maritime adaptations date<br />
back a million years or more. So far,</P><br />
<P STYLE="margin-bottom: 0in">however, there is little evidence for<br />
any systematic use of seaworthy watercraft</P><br />
<P STYLE="margin-bottom: 0in">by Homo erectus or archaic Homo<br />
sapiens, and their voyaging capabilities appear</P><br />
<P STYLE="margin-bottom: 0in">more likely to have been relatively<br />
rudimentary.</P><br />
<P STYLE="margin-bottom: 0in">      Evidence for Pleistocene<br />
seafaring by anatomically modern humans is much</P><br />
<P STYLE="margin-bottom: 0in">more compelling and more widespread,<br />
involving the dispersal of hominids across</P><br />
<P STYLE="margin-bottom: 0in">a number of unequivocal and substantial<br />
water barriers (Clark, 1991; Erlandson,</P><br />
<P STYLE="margin-bottom: 0in">in press; Irwin, 1992). Evidence for<br />
systematic and sophisticated Pleistocene voy-</P></p>
<p><P STYLE="margin-bottom: 0in">aging comes primarily from eastern<br />
Asia, Australia, and Melanesia, where voy-</P><br />
<P STYLE="margin-bottom: 0in">ages in excess of 20–200 km have now<br />
been widely documented between at least</P><br />
<P STYLE="margin-bottom: 0in">50,000 and 15,000 years ago. The proof<br />
that seafaring extended well back into</P><br />
<P STYLE="margin-bottom: 0in">the Pleistocene requires a fundamental<br />
paradigm shift, not yet fully realized, since</P><br />
<P STYLE="margin-bottom: 0in">maritime voyaging was once thought to<br />
be strictly a Holocene phenomenon. By</P><br />
<P STYLE="margin-bottom: 0in">the 1970s, terminal Pleistocene<br />
seafaring had been documented by the presence</P><br />
<P STYLE="margin-bottom: 0in">of obsidian from the Mediterranean<br />
island of Melos in strata at Franchthi Cave in</P><br />
<P STYLE="margin-bottom: 0in">mainland Greece dated to as early as<br />
13,000 RYBP (Cherry, 1990). The antiquity</P><br />
<P STYLE="margin-bottom: 0in">of seafaring was extended with the<br />
discovery that humans had reached Australia</P></p>
<p><P STYLE="margin-bottom: 0in">by 20,000 years ago (Lampert, 1971), a<br />
date rapidly pushed back to 33,000 years</P><br />
<P STYLE="margin-bottom: 0in">ago (Bowler et al., 1970), 40,000 years<br />
ago (Groube et al., 1986), and now as much</P><br />
<P STYLE="margin-bottom: 0in">as 50,000–60,000 years ago (Roberts<br />
et al., 1990; Thorne et al., 1999). Regardless</P><br />
<P STYLE="margin-bottom: 0in">of the route chosen, colonization of<br />
New Guinea and Australia required several</P><br />
<P STYLE="margin-bottom: 0in">separate sea crossings, including<br />
voyages of at least 80 km (Clark, 1991; Irwin,</P><br />
<P STYLE="margin-bottom: 0in">1992). As a result, the colonization of<br />
Australia is now widely viewed as the ear-</P><br />
<P STYLE="margin-bottom: 0in">liest evidence for planned maritime<br />
voyaging in human history and possibly some</P><br />
<P STYLE="margin-bottom: 0in">of the earliest evidence for<br />
anatomically modern human behavior anywhere in the</P><br />
<P STYLE="margin-bottom: 0in">world (Davidson and Noble, 1992).</P></p>
<p><P STYLE="margin-bottom: 0in">      For a time, two puzzling facts<br />
allowed some scholars to believe the Pleistocene</P><br />
<P STYLE="margin-bottom: 0in">colonization of Australia may have been<br />
accomplished by accident. First, in historic</P><br />
<P STYLE="margin-bottom: 0in">times Australian Aborigines reportedly<br />
had no sophisticated watercraft capable of</P><br />
<P STYLE="margin-bottom: 0in">making substantial sea crossings<br />
(Flood, 1990, p. 36), which raised questions</P><br />
<P STYLE="margin-bottom: 0in">about their ability to travel through<br />
island Southeast Asia by boat. Like much of</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                           325</P><br />
<P STYLE="margin-bottom: 0in">the rest of the world, Australia also<br />
had no true coastal shell middens or other</P><br />
<P STYLE="margin-bottom: 0in">direct evidence for maritime<br />
adaptations dating to the Pleistocene. In fact, the vast</P></p>
<p><P STYLE="margin-bottom: 0in">majority of such sites were less than<br />
about 5,000–6,000 years old.</P><br />
<P STYLE="margin-bottom: 0in">      With the discovery in the late<br />
1980s of several Pleistocene shell middens in the</P><br />
<P STYLE="margin-bottom: 0in">Bismarck Archipelago and the Solomon<br />
Islands in western Melanesia (see Allen</P><br />
<P STYLE="margin-bottom: 0in">et al., 1989a,b; Wickler and Spriggs,<br />
1988), any doubts about the role of deliberate</P><br />
<P STYLE="margin-bottom: 0in">maritime voyaging in the peopling of<br />
Australia essentially vanished. Settlement</P><br />
<P STYLE="margin-bottom: 0in">of these islands, now dated to at least<br />
35,000 RYBP (Allen and Kershaw, 1996,</P><br />
<P STYLE="margin-bottom: 0in">p. 185), added several signiﬁcant<br />
maritime crossings to those already required to</P><br />
<P STYLE="margin-bottom: 0in">reach Australia and New Guinea. More<br />
importantly, these islands contain rela-</P></p>
<p><P STYLE="margin-bottom: 0in">tively impoverished terrestrial ﬂora<br />
and fauna, and the sites themselves contained</P><br />
<P STYLE="margin-bottom: 0in">the marine shellﬁsh, ﬁsh, and other<br />
remains expected of a maritime people. The</P><br />
<P STYLE="margin-bottom: 0in">Melanesian evidence also suggests that<br />
maritime voyaging capabilities improved</P><br />
<P STYLE="margin-bottom: 0in">signiﬁcantly between about 35,000 and<br />
15,000 years ago. While the initial settle-</P><br />
<P STYLE="margin-bottom: 0in">ment of New Guinea, New Britain, and<br />
New Ireland required voyages of up to</P><br />
<P STYLE="margin-bottom: 0in">100 km, colonization of Buka in the<br />
Solomon Islands at least 28,000 years ago re-</P><br />
<P STYLE="margin-bottom: 0in">quired a minimum sea voyage of 140 km<br />
and possibly 175 km (Irwin, 1992, p. 20).</P><br />
<P STYLE="margin-bottom: 0in">By 15,000 years ago, moreover,<br />
Melanesian seafarers had reached Manus Island in</P><br />
<P STYLE="margin-bottom: 0in">the Admiralty group, which required an<br />
uninterrupted voyage of 200–220 km, 60–</P></p>
<p><P STYLE="margin-bottom: 0in">90 km of which would have been<br />
completely out of sight of land (Irwin, 1992, p. 21).</P><br />
<P STYLE="margin-bottom: 0in">      Further evidence for Pleistocene<br />
seafaring comes from the islands of Japan.</P><br />
<P STYLE="margin-bottom: 0in">Japan itself was connected to the Asian<br />
mainland during periods of very low sea</P><br />
<P STYLE="margin-bottom: 0in">level, so its settlement did not<br />
necessarily require boats. Fagan (1990, p. 191) ar-</P><br />
<P STYLE="margin-bottom: 0in">gued, however, that new blade and<br />
edge-grinding technologies introduced about</P><br />
<P STYLE="margin-bottom: 0in">30,000 years ago when Japan was<br />
separated from the mainland probably involved</P><br />
<P STYLE="margin-bottom: 0in">maritime contacts. This idea may be<br />
supported by the discovery of human bones</P><br />
<P STYLE="margin-bottom: 0in">beneath a charcoal-rich stratum in<br />
Yamashita-cho Cave on Okinawa dated to</P></p>
<p><P STYLE="margin-bottom: 0in">about 32,100 RYBP (Matsu’ura, 1996,<br />
p. 186). Human remains dated between</P><br />
<P STYLE="margin-bottom: 0in">about 15,000 and 26,000 RYBP also have<br />
been found in several other limestone</P><br />
<P STYLE="margin-bottom: 0in">caves on Okinawa and the smaller<br />
islands of the Ryukyu chain (Matsu’ura, 1996),</P><br />
<P STYLE="margin-bottom: 0in">which stretches southward from Japan<br />
nearly to Taiwan. At Pinza-abu Cave on</P><br />
<P STYLE="margin-bottom: 0in">Miyako Island, human remains found<br />
below a calcareous ﬂowstone were associ-</P><br />
<P STYLE="margin-bottom: 0in">ated with charcoal dated to about<br />
26,000 RYBP (Matsu’ura, 1996, p. 187). Given</P><br />
<P STYLE="margin-bottom: 0in">the bathymetry of the Ryukyu Islands,<br />
several sea voyages would have been re-</P><br />
<P STYLE="margin-bottom: 0in">quired to reach Okinawa from Japan,<br />
including a crossing about 75 km long.</P><br />
<P STYLE="margin-bottom: 0in">Reaching Miyako Island, from either<br />
Japan or Taiwan, would have required even</P></p>
<p><P STYLE="margin-bottom: 0in">longer voyages of up to 150 km. In<br />
Japan itself, archaeological evidence suggests</P><br />
<P STYLE="margin-bottom: 0in">that by about 21,000 RYBP, maritime<br />
peoples from Honshu were using boats to ob-</P><br />
<P STYLE="margin-bottom: 0in">tain obsidian from Kozushima Island<br />
approximately 50 km offshore (Oda, 1990).</P><br />
<P STYLE="margin-bottom: 0in">Similar to Australia, despite<br />
considerable evidence for Pleistocene seafaring, the</P><br />
<P STYLE="margin-bottom: 0in">oldest shell middens in Japan date to<br />
the Holocene (Aikens and Akazawa, 1996,</P><br />
<P STYLE="margin-bottom: 0in">p. 224; see also Aikens and Higuchi,<br />
1982). It seems likely, therefore, that earlier</P><br />
<P STYLE="margin-bottom: 0in">coastal sites have been submerged by<br />
rising sea levels.</P><br />
<P STYLE="margin-bottom: 0in">326<br />
                                    Erlandson</P><br />
<P STYLE="margin-bottom: 0in">      The evidence for Pleistocene<br />
seafaring in Japan is also signiﬁcant because</P></p>
<p><P STYLE="margin-bottom: 0in">it places competent mariners in the<br />
cool waters and boreal climates of the North</P><br />
<P STYLE="margin-bottom: 0in">Paciﬁc at a date early enough to have<br />
contributed to the initial colonization of the</P><br />
<P STYLE="margin-bottom: 0in">Americas (Engelbrecht and Seyfert,<br />
1995; Erlandson, 1994, in press). From Japan,</P><br />
<P STYLE="margin-bottom: 0in">the Kurile Islands stretch to the<br />
northeast like stepping stones to the Kamchatka</P><br />
<P STYLE="margin-bottom: 0in">Peninsula and the southern shores of<br />
Beringia. With the now well-documented</P><br />
<P STYLE="margin-bottom: 0in">Pleistocene seafaring capabilities of<br />
Homo sapiens sapiens, the presence of Pleis-</P><br />
<P STYLE="margin-bottom: 0in">tocene seafarers in Japan, and the<br />
geography of the North Paciﬁc, maritime peoples</P><br />
<P STYLE="margin-bottom: 0in">appear to have had the capabilities to<br />
follow a coastal pathway to the Americas.</P><br />
<P STYLE="margin-bottom: 0in">Whether they made such a journey is<br />
still unknown, and the evidence that could</P></p>
<p><P STYLE="margin-bottom: 0in">resolve the issue—like so many<br />
questions related to the evolution of maritime</P><br />
<P STYLE="margin-bottom: 0in">adaptations—lies largely unstudied<br />
and submerged on the continental shelves of</P><br />
<P STYLE="margin-bottom: 0in">the North Paciﬁc.</P><br />
<P STYLE="margin-bottom: 0in">                 Other Evidence for<br />
Early Aquatic Adaptations</P><br />
<P STYLE="margin-bottom: 0in">      Two other sources of data need to<br />
be considered in any comprehensive eval-</P><br />
<P STYLE="margin-bottom: 0in">uation of the antiquity of aquatic<br />
adaptations: the archaeological record from sub-</P><br />
<P STYLE="margin-bottom: 0in">merged or “drowned” terrestrial<br />
sites, and the nature of pericoastal sites that show</P><br />
<P STYLE="margin-bottom: 0in">limited evidence for marine or<br />
estuarine resource use. Although a detailed exam-</P></p>
<p><P STYLE="margin-bottom: 0in">ination of either topic is beyond the<br />
scope of this paper, it would be a mistake not</P><br />
<P STYLE="margin-bottom: 0in">to consider such evidence at all.</P><br />
<P STYLE="margin-bottom: 0in">                             Submerged<br />
Terrestrial Sites</P><br />
<P STYLE="margin-bottom: 0in">      Scholars have long known that<br />
human occupation sites lie submerged on con-</P><br />
<P STYLE="margin-bottom: 0in">tinental shelves around the world (see<br />
Negris, 1904; Smyth, 1854) and that these</P><br />
<P STYLE="margin-bottom: 0in">may fundamentally bias our<br />
understanding of the development of aquatic adapta-</P><br />
<P STYLE="margin-bottom: 0in">tions (e.g., Emery and Edwards, 1966;<br />
Flemming, 1998, p. 130; Kraft et al., 1983;</P><br />
<P STYLE="margin-bottom: 0in">Richardson, 1981; Shepard, 1964). What<br />
to do with such knowledge, however,</P></p>
<p><P STYLE="margin-bottom: 0in">raises fundamental problems. We must be<br />
governed by some rules of evidence,</P><br />
<P STYLE="margin-bottom: 0in">after all, and simply assuming that<br />
ancient shell middens lie submerged off coast-</P><br />
<P STYLE="margin-bottom: 0in">lines around the world and that coastal<br />
adaptations have always been a part of</P><br />
<P STYLE="margin-bottom: 0in">the human story leaves many scholars<br />
with a very uncomfortable feeling. On the</P><br />
<P STYLE="margin-bottom: 0in">other hand, assuming that the<br />
archaeological record is representative in the face of</P><br />
<P STYLE="margin-bottom: 0in">clear evidence to the contrary is<br />
equally problematic. The obvious solution is to</P><br />
<P STYLE="margin-bottom: 0in">examine submerged coastal landscapes<br />
for the presence or absence of submerged</P><br />
<P STYLE="margin-bottom: 0in">shell middens or other evidence for<br />
early aquatic resource use.</P><br />
<P STYLE="margin-bottom: 0in">      Unfortunately, this is not as<br />
easy as it sounds, and such programs have been</P></p>
<p><P STYLE="margin-bottom: 0in">limited so far. During marine<br />
transgressions, the submergence of most terrestrial</P><br />
<P STYLE="margin-bottom: 0in">sites would have been accompanied by<br />
their essential destruction. Just as it is</P><br />
<P STYLE="margin-bottom: 0in">destroying countless coastal sites<br />
around the world today, wave erosion would</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                         327</P><br />
<P STYLE="margin-bottom: 0in">have redeposited most older sites into<br />
the intertidal zone, leaving only lag deposits</P><br />
<P STYLE="margin-bottom: 0in">on wave-cut platforms such as the Lower<br />
Paleolithic localities documented on Old</P><br />
<P STYLE="margin-bottom: 0in">World marine terraces. Along the<br />
predominantly erosional outer coasts around</P><br />
<P STYLE="margin-bottom: 0in">the world, intact submerged sites would<br />
be preserved only in special situations</P><br />
<P STYLE="margin-bottom: 0in">where local landforms are protected by<br />
offshore islands, archaeological deposits</P></p>
<p><P STYLE="margin-bottom: 0in">are cemented or sealed under<br />
erosion-resistant strata, or earthquakes caused a rapid</P><br />
<P STYLE="margin-bottom: 0in">subsidence of sites into the intertidal<br />
or subtidal zone. In estuarine or lacustrine</P><br />
<P STYLE="margin-bottom: 0in">settings, where wave energy and<br />
shoreline erosion are generally less severe, the</P><br />
<P STYLE="margin-bottom: 0in">potential for the preservation of<br />
submerged sites is considerably better (Flemming,</P><br />
<P STYLE="margin-bottom: 0in">1983, 1998). Even in these settings,<br />
however, relatively little archaeological work</P><br />
<P STYLE="margin-bottom: 0in">has been accomplished on submerged<br />
terrestrial sites (but see Fischer, 1995b;</P><br />
<P STYLE="margin-bottom: 0in">Masters and Flemming, 1983). Due to<br />
technological and ﬁnancial constraints,</P><br />
<P STYLE="margin-bottom: 0in">moreover, the work that has been done<br />
has been limited primarily to sites found</P><br />
<P STYLE="margin-bottom: 0in">comparatively close to shore and in<br />
relatively shallow water. Because sea levels</P></p>
<p><P STYLE="margin-bottom: 0in">have risen up to 150 m in the past<br />
17,000 years, these limitations have so far</P><br />
<P STYLE="margin-bottom: 0in">prevented effective undersea<br />
reconnaissance along shorelines more than about</P><br />
<P STYLE="margin-bottom: 0in">10,000–12,000 years old.</P><br />
<P STYLE="margin-bottom: 0in">      Nonetheless, impressive numbers<br />
of submerged coastal sites have been found,</P><br />
<P STYLE="margin-bottom: 0in">and the number of sites is rapidly<br />
growing (see Fischer, 1995b; Flemming, 1998).</P><br />
<P STYLE="margin-bottom: 0in">In a recent summary, Flemming (1998, p.<br />
129) noted that roughly 550 submerged</P><br />
<P STYLE="margin-bottom: 0in">human occupation sites (SHOS) have been<br />
located in coastal settings around the</P><br />
<P STYLE="margin-bottom: 0in">world, about 100 of which are older<br />
than 3,000 years. These include Acheulian</P></p>
<p><P STYLE="margin-bottom: 0in">hand axes found in sediments underlying<br />
a historical shipwreck 8 m below sea level</P><br />
<P STYLE="margin-bottom: 0in">off the South African coast and<br />
thousands of Mousterian artifacts eroding from a</P><br />
<P STYLE="margin-bottom: 0in">creek bank submerged 18 m below sea<br />
level near Cherbourg on the Atlantic coast</P><br />
<P STYLE="margin-bottom: 0in">of France (Flemming, 1998, pp.<br />
135–136). Elsewhere, numerous submerged sites</P><br />
<P STYLE="margin-bottom: 0in">dating to the middle and early Holocene<br />
are now known, and artifacts of Pleistocene</P><br />
<P STYLE="margin-bottom: 0in">age also have been recovered from the<br />
sea ﬂoor (e.g., Dunbar et al., 1992; Faught</P><br />
<P STYLE="margin-bottom: 0in">et al., 1992; Fedje and Christenson,<br />
1999; Flemming, 1983, 1998; Sanger, 1995;</P><br />
<P STYLE="margin-bottom: 0in">Stright, 1990). In a number of<br />
protected coastal areas, submerged sites that contain</P><br />
<P STYLE="margin-bottom: 0in">evidence for aquatic adaptations have<br />
been found. Some of these submerged sites</P></p>
<p><P STYLE="margin-bottom: 0in">feature remarkable preservation, as<br />
shown by the intact structural remains, human</P><br />
<P STYLE="margin-bottom: 0in">burials, canoes, canoe paddles,<br />
hearths, and other materials recovered from early</P><br />
<P STYLE="margin-bottom: 0in">Holocene sites such as Tybrind Vig in<br />
Denmark (Andersen, 1985, 1987) and Newe</P><br />
<P STYLE="margin-bottom: 0in">Yam off the coast of Israel (Raban,<br />
1983; Wreschner, 1983).</P><br />
<P STYLE="margin-bottom: 0in">      One of the earliest submerged<br />
sites, and surely one of the most remarkable,</P><br />
<P STYLE="margin-bottom: 0in">is the Upper Paleolithic Cosquer Cave<br />
discovered in 1991 on the Mediterranean</P><br />
<P STYLE="margin-bottom: 0in">coast of France (Clottes et al., 1992;<br />
Clottes and Courtin, 1996). Cosquer Cave is a</P><br />
<P STYLE="margin-bottom: 0in">partly submerged limestone cavern, the<br />
small mouth of which lies 37 m below sea</P></p>
<p><P STYLE="margin-bottom: 0in">level. A narrow and gradually rising<br />
shaft extends for approximately 140 m before</P><br />
<P STYLE="margin-bottom: 0in">opening into a large cavern, only parts<br />
of which remain above sea level. Over 250</P><br />
<P STYLE="margin-bottom: 0in">engraved or painted motifs have been<br />
documented in the unﬂooded remnants of the</P><br />
<P STYLE="margin-bottom: 0in">cavern, and radiocarbon dates indicate<br />
that these were executed primarily during</P><br />
<P STYLE="margin-bottom: 0in">328<br />
                                      Erlandson</P><br />
<P STYLE="margin-bottom: 0in">two periods about 27,000 and 18,500<br />
RYBP (Clottes and Courtin, 1996). Upper</P><br />
<P STYLE="margin-bottom: 0in">Paleolithic artistic representations of<br />
marine animals are rare in Europe, but at</P><br />
<P STYLE="margin-bottom: 0in">Cosquer they make up about 12% of the<br />
animal images and include depictions of</P><br />
<P STYLE="margin-bottom: 0in">seals, the great auk (Pinguinus<br />
impennis), and possibly ﬁsh and jellyﬁsh. Although</P></p>
<p><P STYLE="margin-bottom: 0in">the cave appears to have been located<br />
more than 10 km from the sea during the</P><br />
<P STYLE="margin-bottom: 0in">height of the Last Glacial, these<br />
images testify to the signiﬁcance of marine animals</P><br />
<P STYLE="margin-bottom: 0in">to the artists. As Clottes and Courtin<br />
(1996, pp. 44–45) noted, several Upper</P><br />
<P STYLE="margin-bottom: 0in">Paleolithic skeletons excavated in the<br />
late 1800s from the Grimaldi Caves about</P><br />
<P STYLE="margin-bottom: 0in">150 km to the east were associated with<br />
hundreds of marine shell ornaments, also</P><br />
<P STYLE="margin-bottom: 0in">testifying to the symbolic importance<br />
of the sea among Upper Paleolithic people</P><br />
<P STYLE="margin-bottom: 0in">of the area.</P><br />
<P STYLE="margin-bottom: 0in">      Clearly, submerged terrestrial<br />
sites do exist and may be preserved under the</P></p>
<p><P STYLE="margin-bottom: 0in">right conditions. The questions that<br />
remain are whether such submerged coastal</P><br />
<P STYLE="margin-bottom: 0in">sites represent the proverbial tip of<br />
the iceberg or isolated cases, whether even</P><br />
<P STYLE="margin-bottom: 0in">earlier coastal sites lie offshore in<br />
deeper water, and whether such sites can be</P><br />
<P STYLE="margin-bottom: 0in">found and sampled to help unravel some<br />
of the mysteries that remain about the</P><br />
<P STYLE="margin-bottom: 0in">role of the sea in human history.</P><br />
<P STYLE="margin-bottom: 0in"><br />
Pericoastal Sites</P><br />
<P STYLE="margin-bottom: 0in">      Like Cosquer Cave and the<br />
Grimaldi Caves, there are scores of Pleistocene</P><br />
<P STYLE="margin-bottom: 0in">sites around the world that are located<br />
in pericoastal or even interior settings</P></p>
<p><P STYLE="margin-bottom: 0in">that lack dense accumulations of<br />
aquatic food remains, but nonetheless testify</P><br />
<P STYLE="margin-bottom: 0in">to linkages to aquatic habitats. These<br />
include numerous coastal sites listed in</P><br />
<P STYLE="margin-bottom: 0in">Table I, which at various times in<br />
their occupational histories appear to have been</P><br />
<P STYLE="margin-bottom: 0in">located some distance from the coast.<br />
In a number of well-dated sites with detailed</P><br />
<P STYLE="margin-bottom: 0in">paleogeographic reconstructions, these<br />
periods seem to correlate with reduced</P><br />
<P STYLE="margin-bottom: 0in">densities of marine food remains, the<br />
presence of strictly ornamental or utilitarian</P><br />
<P STYLE="margin-bottom: 0in">objects (shell beads, baler shells,<br />
etc.), a complete reliance on terrestrial foods, or</P><br />
<P STYLE="margin-bottom: 0in">site abandonment. For a number of other<br />
sites, less well documented or located</P><br />
<P STYLE="margin-bottom: 0in">further from aquatic habitats, such<br />
relationships are not as clear. Sites that contain</P></p>
<p><P STYLE="margin-bottom: 0in">small amounts of aquatic food remains<br />
can be viewed as evidence that aquatic</P><br />
<P STYLE="margin-bottom: 0in">resources were relatively unimportant,<br />
as part of a seasonal round that included</P><br />
<P STYLE="margin-bottom: 0in">residential periods on the coast, of<br />
exchange with more maritime people living</P><br />
<P STYLE="margin-bottom: 0in">closer to the coast, or some<br />
combination of such inferences. A similar range of</P><br />
<P STYLE="margin-bottom: 0in">arguments has been made for interior<br />
sites in Upper Paleolithic Europe where</P><br />
<P STYLE="margin-bottom: 0in">marine shell ornaments are found far<br />
from the coast. Such sites clearly indicate</P><br />
<P STYLE="margin-bottom: 0in">some economic or ritualized use of<br />
aquatic resources, but their signiﬁcance can be</P><br />
<P STYLE="margin-bottom: 0in">argued depending on the theoretical<br />
stance of individual investigators.</P><br />
<P STYLE="margin-bottom: 0in">      In this regard, I ﬁnd the<br />
Australian case particularly compelling, where sev-</P></p>
<p><P STYLE="margin-bottom: 0in">eral pericoastal sites (Mandu Mandu,<br />
Shark Bay, etc.) more than 30,000 years</P><br />
<P STYLE="margin-bottom: 0in">old contain small numbers of shells,<br />
often ornamental or utilitarian types traded</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                          329</P><br />
<P STYLE="margin-bottom: 0in">between interior and coastal groups<br />
ethnographically. It is currently impossible to</P><br />
<P STYLE="margin-bottom: 0in">know for certain whether these shells<br />
are evidence that early terrestrially adapted</P><br />
<P STYLE="margin-bottom: 0in">Australians occasionally visited the<br />
coast, that coastal people occasionally vis-</P><br />
<P STYLE="margin-bottom: 0in">ited the interior, or that they<br />
represent the exchange of goods between discrete</P><br />
<P STYLE="margin-bottom: 0in">groups residing separately in coastal<br />
and interior areas. How can a continent like</P><br />
<P STYLE="margin-bottom: 0in">Australia, which we now know was<br />
colonized by boat at least 50,000 years ago,</P></p>
<p><P STYLE="margin-bottom: 0in">have so few early coastal sites? Did<br />
maritime peoples reach Australia then aban-</P><br />
<P STYLE="margin-bottom: 0in">don its coastlines in favor of more<br />
productive terrestrial habitats and resources</P><br />
<P STYLE="margin-bottom: 0in">for tens of thousands of years? If so,<br />
how do we account for the evidence for the</P><br />
<P STYLE="margin-bottom: 0in">systematic use of shellﬁsh and ﬁsh<br />
in the Willandra Lakes area at least 40,000</P><br />
<P STYLE="margin-bottom: 0in">years ago? Why do we see further<br />
evidence for maritime voyaging into western</P><br />
<P STYLE="margin-bottom: 0in">Melanesia by 35,000–40,000 years ago?<br />
To me, it seems most likely that the early</P><br />
<P STYLE="margin-bottom: 0in">pericoastal sites in Australia are the<br />
remnants of inland settlement and subsistence</P><br />
<P STYLE="margin-bottom: 0in">by coastally adapted Pleistocene<br />
peoples whose main settlements were submerged</P><br />
<P STYLE="margin-bottom: 0in">or destroyed by rising postglacial<br />
seas.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
DISCUSSION</P><br />
<P STYLE="margin-bottom: 0in">      To some, none of the individual<br />
lines of evidence I have examined may provide</P><br />
<P STYLE="margin-bottom: 0in">a compelling argument for the early<br />
development of aquatic adaptations. When</P><br />
<P STYLE="margin-bottom: 0in">the theoretical and methodological<br />
issues I have raised are combined with current</P><br />
<P STYLE="margin-bottom: 0in">knowledge about world sea levels and<br />
coastal paleogeography, as well as a variety</P><br />
<P STYLE="margin-bottom: 0in">of lines of archaeological evidence, I<br />
believe there are compelling reasons to doubt</P><br />
<P STYLE="margin-bottom: 0in">the veracity of the current consensus<br />
model. Comparatively speaking, it is still true</P><br />
<P STYLE="margin-bottom: 0in">that there is only limited evidence for<br />
the intensive use of aquatic resources prior</P></p>
<p><P STYLE="margin-bottom: 0in">to the end of the Pleistocene. This is<br />
not surprising in the New World, which</P><br />
<P STYLE="margin-bottom: 0in">appears to have been colonized near the<br />
end of the Pleistocene when sea levels</P><br />
<P STYLE="margin-bottom: 0in">were much lower than they are today.<br />
Even on a global scale, however, it is not clear</P><br />
<P STYLE="margin-bottom: 0in">that this pattern accurately reﬂects<br />
changes in human subsistence through time.</P><br />
<P STYLE="margin-bottom: 0in">To understand the history of aquatic<br />
adaptations, globally or in any particular</P><br />
<P STYLE="margin-bottom: 0in">region, we must ﬁrst determine if the<br />
patterns evident in the archaeological record</P><br />
<P STYLE="margin-bottom: 0in">result from actual changes in human<br />
behavior, patterns imposed by geological</P><br />
<P STYLE="margin-bottom: 0in">or taphonomic forces, or the recovery<br />
and analytical methods of archaeologists</P><br />
<P STYLE="margin-bottom: 0in">themselves. Unfortunately, except for<br />
areas ﬁrst occupied by humans relatively</P></p>
<p><P STYLE="margin-bottom: 0in">recently (i.e., Polynesia), such<br />
evaluations are fraught with difﬁculty and have</P><br />
<P STYLE="margin-bottom: 0in">rarely been done in a manner that<br />
inspires conﬁdence in the results.</P><br />
<P STYLE="margin-bottom: 0in">                              A New<br />
World Test Case</P><br />
<P STYLE="margin-bottom: 0in">      It is possible, however, to<br />
return to some of the fundamental tenets of recent</P><br />
<P STYLE="margin-bottom: 0in">theory about aquatic adaptations and<br />
examine them in light of current archaeolog-</P><br />
<P STYLE="margin-bottom: 0in">ical data from the New World. If<br />
shellﬁsh and other aquatic foods are generally</P><br />
<P STYLE="margin-bottom: 0in">330<br />
                                     Erlandson</P><br />
<P STYLE="margin-bottom: 0in">smaller and less productive than<br />
terrestrial alternatives—and their systematic use</P></p>
<p><P STYLE="margin-bottom: 0in">reﬂects demographic pressure,<br />
resource stress, or economic intensiﬁcation—then</P><br />
<P STYLE="margin-bottom: 0in">the antiquity of coastal adaptations in<br />
the Americas should provide an excellent test</P><br />
<P STYLE="margin-bottom: 0in">case. Traditional theory, including<br />
many recent applications of diet breadth-prey</P><br />
<P STYLE="margin-bottom: 0in">ranking models, suggests that until<br />
population growth produced sufﬁcient de-</P><br />
<P STYLE="margin-bottom: 0in">mographic pressure to reduce the<br />
productivity of “high-ranked” terrestrial game,</P><br />
<P STYLE="margin-bottom: 0in">aquatic resources would not be<br />
systematically used. Thus the relatively recent peo-</P><br />
<P STYLE="margin-bottom: 0in">pling of two vast continents with<br />
highly diverse and productive terrestrial land-</P><br />
<P STYLE="margin-bottom: 0in">scapes, especially by small<br />
hunter-gatherer groups generally thought to have mi-</P><br />
<P STYLE="margin-bottom: 0in">grated through an interior route into<br />
the heart of North America, should show little</P></p>
<p><P STYLE="margin-bottom: 0in">evidence for marine resource use or<br />
even coastal settlement until quite recently. If</P><br />
<P STYLE="margin-bottom: 0in">aquatic resources are not necessarily<br />
marginal, then we should ﬁnd relatively early</P><br />
<P STYLE="margin-bottom: 0in">evidence for their use, at least in<br />
areas where the economics of aquatic resource</P><br />
<P STYLE="margin-bottom: 0in">use compare favorably to those<br />
available in adjacent terrestrial habitats.</P><br />
<P STYLE="margin-bottom: 0in">      To adequately evaluate the<br />
evidence, of course, we need to know when humans</P><br />
<P STYLE="margin-bottom: 0in">ﬁrst settled the Americas and whether<br />
the archaeological record is representative</P><br />
<P STYLE="margin-bottom: 0in">of the full range of early adaptations,<br />
especially in coastal zones. At present, we</P><br />
<P STYLE="margin-bottom: 0in">cannot answer either question with any<br />
certainty. In 1977, Osborn used a regional</P></p>
<p><P STYLE="margin-bottom: 0in">analysis of the Peruvian archaeological<br />
record to argue that marine resources were</P><br />
<P STYLE="margin-bottom: 0in">inferior in the arid western slopes of<br />
the Andes. When Osborn (1977a) evaluated</P><br />
<P STYLE="margin-bottom: 0in">the Peruvian evidence, he believed<br />
there was a lag between the earliest interior ver-</P><br />
<P STYLE="margin-bottom: 0in">sus coastal occupation equal to more<br />
than half of the total cultural sequence for the</P><br />
<P STYLE="margin-bottom: 0in">region, well over 12,000 years. This<br />
apparent gap was explained by proposing that</P><br />
<P STYLE="margin-bottom: 0in">the earliest occupants of the region<br />
did not systematically use marine resources until</P><br />
<P STYLE="margin-bottom: 0in">their population densities had<br />
effectively reached the carrying capacity of the terres-</P><br />
<P STYLE="margin-bottom: 0in">trial environment. Thus the Andean<br />
coast—one of the richest marine environments</P><br />
<P STYLE="margin-bottom: 0in">on earth—was characterized as an<br />
environment marginal for human occupation.</P></p>
<p><P STYLE="margin-bottom: 0in">      In retrospect, we now know<br />
Osborn’s analysis had signiﬁcant problems (see</P><br />
<P STYLE="margin-bottom: 0in">Erlandson, 1988; Perlman, 1980; Quilter<br />
and Stocker, 1983; Yesner, 1980). First,</P><br />
<P STYLE="margin-bottom: 0in">he assumed the Andean archaeological<br />
record was representative, based on the now</P><br />
<P STYLE="margin-bottom: 0in">disproved claim that tectonic uplift of<br />
the Peruvian landscape had outpaced sea</P><br />
<P STYLE="margin-bottom: 0in">level rise since the last glacial.<br />
Second, he assumed that the regional demographic</P><br />
<P STYLE="margin-bottom: 0in">clock began with initial human<br />
occupation of the Andean uplands at least 23,000</P><br />
<P STYLE="margin-bottom: 0in">years ago, based on claims by MacNeish<br />
(1971) for the presence of “artifacts”</P><br />
<P STYLE="margin-bottom: 0in">(made from the same rock as the cave<br />
walls) in the lower levels of Pikimachay</P></p>
<p><P STYLE="margin-bottom: 0in">(Flea) Cave. Even today, with the<br />
“Clovis barrier” seemingly broken, few scholars</P><br />
<P STYLE="margin-bottom: 0in">accept the dubious evidence for<br />
pre-Clovis occupation at Flea Cave (e.g., Dixon,</P><br />
<P STYLE="margin-bottom: 0in">1999, pp. 100–101).</P><br />
<P STYLE="margin-bottom: 0in">      Today, the earliest widely<br />
accepted (there are still doubters) Andean archaeo-</P><br />
<P STYLE="margin-bottom: 0in">logical site is Monte Verde (Dillehay,<br />
1997), which appears to date to about 12,500</P><br />
<P STYLE="margin-bottom: 0in">RYBP. Monte Verde is located in a<br />
valley roughly 30 km from the coast of Chile.</P><br />
<P STYLE="margin-bottom: 0in">While there is evidence that big game<br />
was hunted from the site, there is also ev-</P><br />
<P STYLE="margin-bottom: 0in">idence for a relatively eclectic<br />
economy in which plants and smaller resources</P></p>
<p><P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                          331</P><br />
<P STYLE="margin-bottom: 0in">played a signiﬁcant role. The<br />
presence of seaweed also suggests that the site oc-</P><br />
<P STYLE="margin-bottom: 0in">cupants had links to the coast. Recent<br />
research also has pushed back the earliest</P><br />
<P STYLE="margin-bottom: 0in">occupation of the Andean coast to<br />
approximately 11,200–10,500 RYBP (Keefer</P><br />
<P STYLE="margin-bottom: 0in">et al., 1998; Richardson, 1998;<br />
Sandweiss et al., 1998), and the earliest site, Que-</P><br />
<P STYLE="margin-bottom: 0in">brada Jaguay, shows interior links<br />
(Sandweiss et al., 1998) that may represent</P><br />
<P STYLE="margin-bottom: 0in">the opposite end of a seasonal<br />
subsistence round represented at Monte Verde. If</P><br />
<P STYLE="margin-bottom: 0in">we accept that Monte Verde is one of<br />
the earliest sites in the Andes (which seems</P><br />
<P STYLE="margin-bottom: 0in">likely) and assume that its occupants<br />
had no coastal neighbors and used few aquatic</P></p>
<p><P STYLE="margin-bottom: 0in">resources themselves (which seems less<br />
likely), the age differential between the</P><br />
<P STYLE="margin-bottom: 0in">earliest coastal versus interior<br />
settlements has withered to less than 2,000 years.</P><br />
<P STYLE="margin-bottom: 0in">This might be enough time for<br />
terrestrial foragers to shift to a partly littoral or</P><br />
<P STYLE="margin-bottom: 0in">maritime focus, but it seems highly<br />
unlikely that a shift to marine resources about</P><br />
<P STYLE="margin-bottom: 0in">11,000 years ago was due to demographic<br />
pressure on the vast Andean landscape.</P><br />
<P STYLE="margin-bottom: 0in">      In North America, the situation<br />
is very similar, with increasing evidence</P><br />
<P STYLE="margin-bottom: 0in">for early coastal settlement and use of<br />
marine and other aquatic resources. The</P><br />
<P STYLE="margin-bottom: 0in">presence of people on California’s<br />
Channel Islands 10,500–11,000 years ago</P></p>
<p><P STYLE="margin-bottom: 0in">(Erlandson et al., 1996; Johnson et<br />
al., 2000; Orr, 1968), for instance, is extremely</P><br />
<P STYLE="margin-bottom: 0in">difﬁcult to account for as a response<br />
to human pressure on the highly produc-</P><br />
<P STYLE="margin-bottom: 0in">tive and diverse terrestrial resources<br />
of the adjacent mainland. The earliest people</P><br />
<P STYLE="margin-bottom: 0in">of the Channel Islands, moreover, seem<br />
to have subsisted primarily on shellﬁsh,</P><br />
<P STYLE="margin-bottom: 0in">small ﬁsh, plant foods, and<br />
occasional seals or sea lions. There is currently no evi-</P><br />
<P STYLE="margin-bottom: 0in">dence that they were big-game hunters<br />
drawn to the islands by pygmy mammoths</P><br />
<P STYLE="margin-bottom: 0in">or massive elephant seals. Rather, they<br />
seem to have been eclectic foragers who</P><br />
<P STYLE="margin-bottom: 0in">relied on a variety of resources,<br />
including abalones, mussels, small turban snails,</P><br />
<P STYLE="margin-bottom: 0in">and a variety of small ﬁsh. The very<br />
presence of such people on the islands at</P></p>
<p><P STYLE="margin-bottom: 0in">this early date suggests that shellﬁsh,<br />
ﬁsh, and other marine resources were highly</P><br />
<P STYLE="margin-bottom: 0in">ranked, highly regarded, and highly<br />
relied on. Along the Atlantic and Gulf coasts</P><br />
<P STYLE="margin-bottom: 0in">of North America, the evidence for<br />
early coastal adaptations is neither as early nor</P><br />
<P STYLE="margin-bottom: 0in">as widespread, but in these areas the<br />
presence of submerged sites and Paleoindian</P><br />
<P STYLE="margin-bottom: 0in">artifacts on the continental shelves<br />
indicates that we are missing early components</P><br />
<P STYLE="margin-bottom: 0in">of the coastal archaeological record.</P><br />
<P STYLE="margin-bottom: 0in">      To me, the available data suggest<br />
that marine and other aquatic resources</P><br />
<P STYLE="margin-bottom: 0in">were an integral part of many early New<br />
World economies, that their signiﬁ-</P></p>
<p><P STYLE="margin-bottom: 0in">cance has been underemphasized in<br />
previous models, and that their presence in</P><br />
<P STYLE="margin-bottom: 0in">archaeological sites does not<br />
necessarily indicate the existence of environmental</P><br />
<P STYLE="margin-bottom: 0in">deterioration, population pressure,<br />
resource stress, or economic intensiﬁcation. I</P><br />
<P STYLE="margin-bottom: 0in">am not suggesting—as many have done<br />
for large land mammals and other ter-</P><br />
<P STYLE="margin-bottom: 0in">restrial resources—that aquatic<br />
resources were universally productive. Nor am I</P><br />
<P STYLE="margin-bottom: 0in">arguing that the use of aquatic<br />
resources was not, at times, associated with resource</P><br />
<P STYLE="margin-bottom: 0in">stress and economic intensiﬁcation.<br />
What I am suggesting is that, in the New World</P><br />
<P STYLE="margin-bottom: 0in">and the Old World, the factors that<br />
govern human decisions about what resources</P><br />
<P STYLE="margin-bottom: 0in">will be used, when, and by whom are<br />
highly complex and situational. Recognizing</P></p>
<p><P STYLE="margin-bottom: 0in">this complexity, the diversity of<br />
environments (terrestrial and aquatic) encountered</P><br />
<P STYLE="margin-bottom: 0in">332<br />
                                    Erlandson</P><br />
<P STYLE="margin-bottom: 0in">by our ancestors, and the ﬂexibility<br />
and opportunism of hunter-gatherers, I believe</P><br />
<P STYLE="margin-bottom: 0in">global or universal statements about<br />
the productivity of aquatic resources do not do</P><br />
<P STYLE="margin-bottom: 0in">justice to the diversity and complexity<br />
that we should expect of the archaeological</P><br />
<P STYLE="margin-bottom: 0in">record.</P><br />
<P STYLE="margin-bottom: 0in">                        SUMMARY AND<br />
CONCLUSIONS</P><br />
<P STYLE="margin-bottom: 0in">      I began this paper by suggesting<br />
that general conceptions of the history and</P></p>
<p><P STYLE="margin-bottom: 0in">nature of aquatic adaptations have<br />
marginalized the study of coastal, riverine, and</P><br />
<P STYLE="margin-bottom: 0in">lacustrine societies, relegating them<br />
to the last 1% of human history. The view that</P><br />
<P STYLE="margin-bottom: 0in">aquatic resources are marginal and that<br />
aquatic adaptations developed relatively</P><br />
<P STYLE="margin-bottom: 0in">recently renders their study<br />
essentially peripheral to many of the most compelling</P><br />
<P STYLE="margin-bottom: 0in">issues addressed by archaeologists:<br />
human evolution, early hominid migrations,</P><br />
<P STYLE="margin-bottom: 0in">the appearance of anatomically modern<br />
humans, peopling of the Americas, the</P><br />
<P STYLE="margin-bottom: 0in">development of agriculture, the rise of<br />
civilization, and others. I also argued that</P><br />
<P STYLE="margin-bottom: 0in">a variety of taphonomic processes,<br />
epistemological issues, methodological prob-</P><br />
<P STYLE="margin-bottom: 0in">lems, and data gaps raise serious<br />
questions about assertions that widespread and</P></p>
<p><P STYLE="margin-bottom: 0in">systematic aquatic adaptations<br />
developed only since the end of the last glacial.</P><br />
<P STYLE="margin-bottom: 0in">Speciﬁcally, I suggested that</P><br />
<P STYLE="margin-bottom: 0in">      1. postglacial sea level rise has<br />
submerged most of the shorelines older than</P><br />
<P STYLE="margin-bottom: 0in">         about 10,000 years along which<br />
the evidence for earlier coastal occupa-</P><br />
<P STYLE="margin-bottom: 0in">         tions would logically be<br />
found;</P><br />
<P STYLE="margin-bottom: 0in">      2. differential preservation,<br />
recovery, or reporting of site constituents has</P><br />
<P STYLE="margin-bottom: 0in">         selectively underemphasized<br />
the importance of aquatic resource use in</P></p>
<p><P STYLE="margin-bottom: 0in">         archaeological sites around<br />
the world;</P><br />
<P STYLE="margin-bottom: 0in">      3. traditional models of<br />
hunter-gatherer behavior have overemphasized the</P><br />
<P STYLE="margin-bottom: 0in">         role of hunting in general,<br />
and large land mammal hunting in particular,</P><br />
<P STYLE="margin-bottom: 0in">         in many ancient societies;</P><br />
<P STYLE="margin-bottom: 0in">      4. normative cultural ecological<br />
reconstructions have too often treated hu-</P><br />
<P STYLE="margin-bottom: 0in">         man societies as aggregations<br />
of generic individuals rather than groups of</P></p>
<p><P STYLE="margin-bottom: 0in">         diverse people (men, women,<br />
and children; young and old, rich and poor,</P><br />
<P STYLE="margin-bottom: 0in">         etc.) who often were engaged<br />
in different activities;</P><br />
<P STYLE="margin-bottom: 0in">      5. prior to the development of<br />
relatively effective hunting technologies, ho-</P><br />
<P STYLE="margin-bottom: 0in">         minids relied to a signiﬁcant<br />
extent on scavenging behavior that would have</P><br />
<P STYLE="margin-bottom: 0in">         increased the relative<br />
productivity of and reliance on aquatic resources that</P><br />
<P STYLE="margin-bottom: 0in">         required no specialized<br />
technologies to obtain or process;</P></p>
<p><P STYLE="margin-bottom: 0in">      6. our hominid ancestors have<br />
always, with rare exceptions dictated by un-</P><br />
<P STYLE="margin-bottom: 0in">         usual environmental<br />
conditions, been highly opportunistic and relatively</P><br />
<P STYLE="margin-bottom: 0in">         eclectic omnivores, an<br />
economic orientation fundamental to our extraor-</P><br />
<P STYLE="margin-bottom: 0in">         dinary success in colonizing<br />
virtually every habitable land and seascape</P><br />
<P STYLE="margin-bottom: 0in">         on earth.</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                          333</P></p>
<p><P STYLE="margin-bottom: 0in">      With these issues in mind, I<br />
reviewed the evidence for early aquatic resource</P><br />
<P STYLE="margin-bottom: 0in">use in archaeological sites around the<br />
world, focusing on Old World sites dating</P><br />
<P STYLE="margin-bottom: 0in">earlier than about 15,000 years ago and<br />
New World sites more than 8,000 years</P><br />
<P STYLE="margin-bottom: 0in">old. I concluded that a variety of<br />
unresolved problems continue to prevent us</P><br />
<P STYLE="margin-bottom: 0in">from determining when aquatic<br />
adaptations developed, how widespread they were,</P><br />
<P STYLE="margin-bottom: 0in">and how important they were in the<br />
broad scheme of human evolution. Some</P><br />
<P STYLE="margin-bottom: 0in">of the earliest archaeological<br />
localities associated with Homo habilis and Homo</P><br />
<P STYLE="margin-bottom: 0in">erectus in Africa contain the remains<br />
of aquatic or amphibious animals such as</P></p>
<p><P STYLE="margin-bottom: 0in">ﬁsh, crocodiles, molluscs, and<br />
hippos, as do some early European sites associated</P><br />
<P STYLE="margin-bottom: 0in">with late Homo erectus or early archaic<br />
Homo sapiens populations. Although the</P><br />
<P STYLE="margin-bottom: 0in">distribution of ﬁsh and other aquatic<br />
remains in some of these early sites coincides</P><br />
<P STYLE="margin-bottom: 0in">closely with artifacts and other faunal<br />
remains, the cultural origin of the faunal</P><br />
<P STYLE="margin-bottom: 0in">remains (aquatic and terrestrial) and<br />
their nature (scavenged or hunted) are difﬁcult</P><br />
<P STYLE="margin-bottom: 0in">to prove. Less equivocal evidence for<br />
the use of shellﬁsh by Homo erectus and</P><br />
<P STYLE="margin-bottom: 0in">archaic Homo sapiens also is found at<br />
several Old World sites. There is no doubt</P><br />
<P STYLE="margin-bottom: 0in">that these hominids occupied coastal<br />
and other aquatic habitats and little reason to</P><br />
<P STYLE="margin-bottom: 0in">doubt that aquatic resources were used<br />
by them at least occasionally. At present,</P></p>
<p><P STYLE="margin-bottom: 0in">the intensity of such use remains<br />
unknown, just as the overall nature of Lower</P><br />
<P STYLE="margin-bottom: 0in">Paleolithic subsistence remains largely<br />
obscure.</P><br />
<P STYLE="margin-bottom: 0in">      Hominids clearly crossed aquatic<br />
hurdles in spreading out of Africa and</P><br />
<P STYLE="margin-bottom: 0in">through much of Eurasia, indicating<br />
that rivers and even some straits were not</P><br />
<P STYLE="margin-bottom: 0in">necessarily the physical or<br />
psychological barriers sometimes imagined. Prior to</P><br />
<P STYLE="margin-bottom: 0in">the appearance of anatomically modern<br />
humans, however, the use of aquatic re-</P><br />
<P STYLE="margin-bottom: 0in">sources may have been limited largely<br />
to shellﬁsh and occasional “low-tech” uses</P><br />
<P STYLE="margin-bottom: 0in">of ﬁsh, birds, mammals, and other<br />
resources that could be collected without spe-</P></p>
<p><P STYLE="margin-bottom: 0in">cialized technologies. Only with the<br />
appearance of anatomically modern humans</P><br />
<P STYLE="margin-bottom: 0in">do we ﬁnd the evidence for a more<br />
intensive use of shellﬁsh and a wider range</P><br />
<P STYLE="margin-bottom: 0in">of marine or aquatic resources. Not<br />
surprisingly, this economic diversiﬁcation co-</P><br />
<P STYLE="margin-bottom: 0in">incides with the ﬁrst evidence for<br />
the development of a number of “modern” or</P><br />
<P STYLE="margin-bottom: 0in">transitional technologies, including<br />
the earliest relatively intensive use of chipped</P><br />
<P STYLE="margin-bottom: 0in">stone blade and geometric or<br />
microlithic industries, the ﬁrst formal bone tools, the</P><br />
<P STYLE="margin-bottom: 0in">earliest widespread evidence for the<br />
use of red ochre, and probably the ﬁrst use of</P><br />
<P STYLE="margin-bottom: 0in">relatively sophisticated boats. In the<br />
context of such transitional Middle Stone Age</P><br />
<P STYLE="margin-bottom: 0in">technologies at Klasies River Mouth<br />
caves, Die Kelders, and other Last Interglacial</P></p>
<p><P STYLE="margin-bottom: 0in">localities in South Africa, for<br />
instance, AMH appear to have regularly eaten a va-</P><br />
<P STYLE="margin-bottom: 0in">riety of shellﬁsh, marine mammals,<br />
and ﬂightless birds (Klein and Cruz-Uribe,</P><br />
<P STYLE="margin-bottom: 0in">2000), although some or all of the<br />
larger vertebrates may have been scavenged</P><br />
<P STYLE="margin-bottom: 0in">rather than hunted (Binford, 1984).<br />
From the Semliki River area in Zaire comes</P><br />
<P STYLE="margin-bottom: 0in">the earliest evidence for complex<br />
aquatic hunting gear, ∼80,000-year-old barbed</P><br />
<P STYLE="margin-bottom: 0in">harpoons from Katanda associated with<br />
numerous large ﬁsh remains (Yellen et al.,</P><br />
<P STYLE="margin-bottom: 0in">1995). From Blombos Cave in South<br />
Africa comes evidence for Middle Stone Age</P><br />
<P STYLE="margin-bottom: 0in">marine ﬁshing, probably dating to<br />
over 60,000 years (Henshilwood and Sealy,</P><br />
<P STYLE="margin-bottom: 0in">334<br />
                                    Erlandson</P></p>
<p><P STYLE="margin-bottom: 0in">1997). And from the Boegeberg 2 shell<br />
midden comes possible evidence for the</P><br />
<P STYLE="margin-bottom: 0in">relatively intensive MSA use of<br />
cormorants (Klein, 1999, p. 456).</P><br />
<P STYLE="margin-bottom: 0in">      Dated to about 90,000 years ago<br />
are the earliest skeletal remains of Homo</P><br />
<P STYLE="margin-bottom: 0in">sapiens sapiens found outside of<br />
Africa—the Qafzeh and Skhul skeletons from</P><br />
<P STYLE="margin-bottom: 0in">coastal Israel—suggesting that early<br />
modern populations had begun to move out</P><br />
<P STYLE="margin-bottom: 0in">of Africa by this time. Although<br />
anatomically modern humans do not appear to</P><br />
<P STYLE="margin-bottom: 0in">have moved into most of Europe for<br />
another 50,000 years (Klein, 1998), current</P><br />
<P STYLE="margin-bottom: 0in">evidence suggests that they spread into<br />
southern Asia at least 60,000 years ago.</P></p>
<p><P STYLE="margin-bottom: 0in">From there, within just a few<br />
millennia, they probably made the multiple maritime</P><br />
<P STYLE="margin-bottom: 0in">voyages through island Southeast Asia<br />
required to settle Australia and New Guinea.</P><br />
<P STYLE="margin-bottom: 0in">By about 30,000–35,000 years ago,<br />
seafaring AMH peoples also had colonized</P><br />
<P STYLE="margin-bottom: 0in">western Melanesia and the Ryukyu<br />
Islands south of Japan.</P><br />
<P STYLE="margin-bottom: 0in">      Although the current state of our<br />
knowledge remains somewhat ﬂuid, the</P><br />
<P STYLE="margin-bottom: 0in">earliest subsistence strategies that<br />
included relatively eclectic and intensive use</P><br />
<P STYLE="margin-bottom: 0in">of marine or other aquatic resources<br />
may be associated with the appearance of</P><br />
<P STYLE="margin-bottom: 0in">anatomically modern humans. When such<br />
aquatic adaptations were combined with</P></p>
<p><P STYLE="margin-bottom: 0in">the exploitation of a range of<br />
terrestrial plants and animals, a more diversiﬁed and</P><br />
<P STYLE="margin-bottom: 0in">stable resource base would have<br />
resulted. Such economies may have contributed</P><br />
<P STYLE="margin-bottom: 0in">signiﬁcantly to the development of<br />
greater sedentism (see Kelly, 1995, p. 125),</P><br />
<P STYLE="margin-bottom: 0in">to the reproductive success of Homo<br />
sapiens sapiens, and to our apparently dra-</P><br />
<P STYLE="margin-bottom: 0in">matic demographic and geographic<br />
expansion over the last 150,000 years. In this</P><br />
<P STYLE="margin-bottom: 0in">regard, it is worth noting that current<br />
(“Out of Africa”) models for the rapid spread</P><br />
<P STYLE="margin-bottom: 0in">of anatomically modern humans allow<br />
only about 10% of the time available in</P><br />
<P STYLE="margin-bottom: 0in">multiregional models for this<br />
demographic and geographic expansion (Erlandson,</P><br />
<P STYLE="margin-bottom: 0in">in press). Wherever anatomically modern<br />
humans ﬁrst appear, they seem to have</P></p>
<p><P STYLE="margin-bottom: 0in">carried with them a penchant for art<br />
and symbolism, technological innovation, and</P><br />
<P STYLE="margin-bottom: 0in">complex problem-solving and<br />
communication skills (see Davidson and Noble,</P><br />
<P STYLE="margin-bottom: 0in">1992; Klein, 1998; Mellars, 1998).<br />
Aquatic adaptations and Pleistocene seafar-</P><br />
<P STYLE="margin-bottom: 0in">ing played a more signiﬁcant role<br />
than previously supposed in the demographic</P><br />
<P STYLE="margin-bottom: 0in">expansion, the geographic spread, and<br />
the phenomenal success of our species.</P><br />
<P STYLE="margin-bottom: 0in">      The available archaeological<br />
evidence contradicts aspects of both Gates of</P><br />
<P STYLE="margin-bottom: 0in">Hell and Garden of Eden models, with<br />
the most likely scenario falling—like</P><br />
<P STYLE="margin-bottom: 0in">Aristotle’s “golden mean”—somewhere<br />
in between. Despite a number of cate-</P></p>
<p><P STYLE="margin-bottom: 0in">gorical statements to the contrary, we<br />
simply do not know when aquatic resources</P><br />
<P STYLE="margin-bottom: 0in">were ﬁrst widely used by our hominid<br />
ancestors or how important they were in hu-</P><br />
<P STYLE="margin-bottom: 0in">man evolution. However, it makes no<br />
sense that hominids would have completely</P><br />
<P STYLE="margin-bottom: 0in">ignored aquatic resources for more than<br />
2 million years. As long as scavenging</P><br />
<P STYLE="margin-bottom: 0in">was a signiﬁcant hominid pursuit, in<br />
fact, it seems likely that aquatic resources</P><br />
<P STYLE="margin-bottom: 0in">found in shallow water or on the shore<br />
would have been utilized when reason-</P><br />
<P STYLE="margin-bottom: 0in">ably abundant and available without<br />
complex technologies. There undoubtedly</P><br />
<P STYLE="margin-bottom: 0in">has been some intensiﬁcation of<br />
aquatic resource use during human history, but</P><br />
<P STYLE="margin-bottom: 0in">it also seems likely that our ancestors<br />
used such resources opportunistically and</P></p>
<p><P STYLE="margin-bottom: 0in">situationally whenever and wherever it<br />
made economic sense to do so. If aquatic</P><br />
<P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                          335</P><br />
<P STYLE="margin-bottom: 0in">resources sometimes compare favorably<br />
to terrestrial subsistence alternatives, it</P><br />
<P STYLE="margin-bottom: 0in">raises signiﬁcant questions about the<br />
emblematic role shell middens have played</P><br />
<P STYLE="margin-bottom: 0in">as anthropological indicators of the<br />
broad spectrum revolution and postglacial</P><br />
<P STYLE="margin-bottom: 0in">economies (see Bailey, 1978). If shell<br />
middens are not diagnostic of postglacial</P><br />
<P STYLE="margin-bottom: 0in">economies, is the broad spectrum<br />
revolution still a revolution?</P><br />
<P STYLE="margin-bottom: 0in">      We cannot afford to ignore the<br />
fact, however, that the efﬁcient or intensive</P></p>
<p><P STYLE="margin-bottom: 0in">exploitation of many types of marine<br />
and other aquatic (and terrestrial) resources</P><br />
<P STYLE="margin-bottom: 0in">requires relatively complex<br />
technologies (e.g., sophisticated boats, nets, harpoons,</P><br />
<P STYLE="margin-bottom: 0in">hook-and-line) that currently appear to<br />
have been beyond the capabilities of ho-</P><br />
<P STYLE="margin-bottom: 0in">minids other than anatomically modern<br />
humans. We should also recognize that</P><br />
<P STYLE="margin-bottom: 0in">aquatic habitats are extremely<br />
variable, that they are juxtaposed with equally var-</P><br />
<P STYLE="margin-bottom: 0in">ied terrestrial habitats, and that<br />
together these offer such a diverse range of envi-</P><br />
<P STYLE="margin-bottom: 0in">ronments that they defy broad<br />
generalization (Erlandson, 1994, p. 278; Perlman,</P><br />
<P STYLE="margin-bottom: 0in">1980). Given the nearly endless<br />
diversity in the relative productivity and accessi-</P><br />
<P STYLE="margin-bottom: 0in">bility of aquatic versus terrestrial<br />
habitats around the world, it seems likely that</P></p>
<p><P STYLE="margin-bottom: 0in">the antiquity and intensity of aquatic<br />
adaptations varied widely through both space</P><br />
<P STYLE="margin-bottom: 0in">and time. Today, rather than searching<br />
for general rules of human behavior in</P><br />
<P STYLE="margin-bottom: 0in">aquatic settings, we should be working<br />
to overcome the taphonomic problems</P><br />
<P STYLE="margin-bottom: 0in">that currently inhibit our<br />
interpretations so we can more effectively document the</P><br />
<P STYLE="margin-bottom: 0in">diversity of aquatic adaptations. More<br />
interesting questions should take the place</P><br />
<P STYLE="margin-bottom: 0in">of dichotomized debates about whether<br />
the world’s aquatic habitats were Gardens</P><br />
<P STYLE="margin-bottom: 0in">of Eden or Gates of Hell. Once we<br />
recognize the diversity of aquatic habitats</P><br />
<P STYLE="margin-bottom: 0in">through space and time, as well as the<br />
almost limitless combinations of mosaic en-</P><br />
<P STYLE="margin-bottom: 0in">vironments that result from juxtaposing<br />
such aquatic habitats with equally diverse</P></p>
<p><P STYLE="margin-bottom: 0in">terrestrial habitats, we can focus on<br />
the complexity of human responses to aquatic</P><br />
<P STYLE="margin-bottom: 0in">environments that took place as our<br />
ancestors developed increasingly sophisticated</P><br />
<P STYLE="margin-bottom: 0in">subsistence strategies on both land and<br />
in the water. Given this diversity and the</P><br />
<P STYLE="margin-bottom: 0in">innumerable adaptive responses possible<br />
under various intellectual, technologi-</P><br />
<P STYLE="margin-bottom: 0in">cal, demographic, and sociopolitical<br />
circumstances, a search for a global model or</P><br />
<P STYLE="margin-bottom: 0in">universal laws of aquatic adaptations<br />
is almost certainly fruitless.</P><br />
<P STYLE="margin-bottom: 0in">      As we move into the twenty-ﬁrst<br />
century, I hope we can transcend the simple</P><br />
<P STYLE="margin-bottom: 0in">models and polarized arguments that<br />
have often characterized scholarly debates</P></p>
<p><P STYLE="margin-bottom: 0in">about the evolution of aquatic<br />
adaptations. Surely, as Claassen (1991, p. 275)</P><br />
<P STYLE="margin-bottom: 0in">has suggested, “it is time to put to<br />
rest the generic clam,” as well as the generic</P><br />
<P STYLE="margin-bottom: 0in">ﬁsh, sea mammal, or coastal forager.<br />
In the last century or so, archaeologists have</P><br />
<P STYLE="margin-bottom: 0in">made great strides in understanding the<br />
development of maritime and other aquatic</P><br />
<P STYLE="margin-bottom: 0in">adaptations in human history. As our<br />
studies continue in the next century, there are</P><br />
<P STYLE="margin-bottom: 0in">numerous issues yet to be resolved and<br />
numerous productive avenues of inquiry to</P><br />
<P STYLE="margin-bottom: 0in">be studied. To truly understand the<br />
role of the sea (and aquatic habitats) in human</P><br />
<P STYLE="margin-bottom: 0in">history, however, a number of issues<br />
need to be resolved.</P><br />
<P STYLE="margin-bottom: 0in">      Perhaps the most pressing are<br />
questions related to the antiquity of seafaring</P></p>
<p><P STYLE="margin-bottom: 0in">and the search for ancient sites<br />
located along Pleistocene shorelines beneath the</P><br />
<P STYLE="margin-bottom: 0in">sea. It is time to extend the search<br />
for submerged terrestrial sites to a wider range</P><br />
<P STYLE="margin-bottom: 0in">336<br />
                                   Erlandson</P><br />
<P STYLE="margin-bottom: 0in">of shorelines around the world and into<br />
deeper waters to look for coastal sites</P><br />
<P STYLE="margin-bottom: 0in">dating to the crucial period between<br />
about 60,000 and 10,000 years ago. Utilizing</P><br />
<P STYLE="margin-bottom: 0in">new technologies, offshore<br />
archaeological survey might be particularly productive</P><br />
<P STYLE="margin-bottom: 0in">along steeply dipping shorelines of the<br />
Mediterranean, where sites like Cosquer</P><br />
<P STYLE="margin-bottom: 0in">Cave and submerged caves off Gibraltar<br />
(Waechter and Flemming, 1962) have</P><br />
<P STYLE="margin-bottom: 0in">been identiﬁed in limestone bedrock<br />
where dripstone formations may have helped</P></p>
<p><P STYLE="margin-bottom: 0in">to preserve evidence for early coastal<br />
adaptations despite the problems of rising</P><br />
<P STYLE="margin-bottom: 0in">sea levels and coastal erosion<br />
(Flemming, 1998). Underwater reconnaissance and</P><br />
<P STYLE="margin-bottom: 0in">excavation work might also be<br />
particularly fruitful off some of the more protected</P><br />
<P STYLE="margin-bottom: 0in">shorelines of the Japanese archipelago,<br />
where evidence for the Upper Paleolithic</P><br />
<P STYLE="margin-bottom: 0in">antecedents of the Jomon peoples may<br />
lie submerged. We need to know not only</P><br />
<P STYLE="margin-bottom: 0in">where such sites are located and when<br />
they were occupied but also whether aquatic</P><br />
<P STYLE="margin-bottom: 0in">resources played a signiﬁcant role in<br />
the lives of the occupants and how widespread</P><br />
<P STYLE="margin-bottom: 0in">such adaptations were.</P><br />
<P STYLE="margin-bottom: 0in">      Critical to evaluating the idea<br />
that anatomically modern humans may have</P></p>
<p><P STYLE="margin-bottom: 0in">moved rapidly out of Africa along the<br />
coastlines of southern Asia into Australia</P><br />
<P STYLE="margin-bottom: 0in">and beyond is a search for early shell<br />
middens or other sites on land, in ar-</P><br />
<P STYLE="margin-bottom: 0in">eas associated with Last Interglacial<br />
shorelines of East Africa, southern Asia,</P><br />
<P STYLE="margin-bottom: 0in">and the islands of Southeast Asia.<br />
Considering the spatial distribution of early</P><br />
<P STYLE="margin-bottom: 0in">coastal sites elsewhere in the world,<br />
such efforts are most likely to succeed if they</P><br />
<P STYLE="margin-bottom: 0in">are focused along coastal stretches<br />
characterized by relatively steep bathymetry,</P><br />
<P STYLE="margin-bottom: 0in">where lateral shoreline movements<br />
associated with sea level ﬂuctuations have been</P><br />
<P STYLE="margin-bottom: 0in">minimized.</P><br />
<P STYLE="margin-bottom: 0in">      Also needed are renewed<br />
excavations at early sites that have already produced</P></p>
<p><P STYLE="margin-bottom: 0in">the remains of aquatic resources, with<br />
more sophisticated excavation and analytical</P><br />
<P STYLE="margin-bottom: 0in">techniques, including ﬁne screen<br />
recovery, ﬂotation, and more critical evaluation</P><br />
<P STYLE="margin-bottom: 0in">of the origin of aquatic and other<br />
faunal remains. We need more taphonomic and</P><br />
<P STYLE="margin-bottom: 0in">actualistic studies to help distinguish<br />
between aquatic animal remains of cultural</P><br />
<P STYLE="margin-bottom: 0in">versus natural origin, work that will<br />
complement the extensive studies that have</P><br />
<P STYLE="margin-bottom: 0in">been done for terrestrial fauna in<br />
interior areas.</P><br />
<P STYLE="margin-bottom: 0in">      Ultimately, we need more data<br />
from “aquatic” sites of all ages and in all</P><br />
<P STYLE="margin-bottom: 0in">regions to better document the<br />
variability in aquatic adaptations through space</P></p>
<p><P STYLE="margin-bottom: 0in">and time. In the twenty-ﬁrst century,<br />
the study of maritime peoples and aquatic</P><br />
<P STYLE="margin-bottom: 0in">adaptations should focus on documenting<br />
the remarkably diverse role that aquatic</P><br />
<P STYLE="margin-bottom: 0in">resources played in human history as<br />
hominids and humans spread around the</P><br />
<P STYLE="margin-bottom: 0in">world, from sea to shining sea.</P><br />
<P STYLE="margin-bottom: 0in"><br />
ACKNOWLEDGMENTS</P><br />
<P STYLE="margin-bottom: 0in">      This paper is dedicated to the<br />
memory of J. G. D. Clark, who years ago</P><br />
<P STYLE="margin-bottom: 0in">recognized the limits of what we could<br />
reasonably say about the development</P><br />
<P STYLE="margin-bottom: 0in">of aquatic adaptations. I would also<br />
like to recognize the work of Carl Sauer,</P></p>
<p><P STYLE="margin-bottom: 0in">The Archaeology of Aquatic Adaptations<br />
                                                           337</P><br />
<P STYLE="margin-bottom: 0in">Alan Osborn, Geoff Bailey, and David<br />
Yesner, scholars whose provocative</P><br />
<P STYLE="margin-bottom: 0in">views stimulated tremendous progress in<br />
the study of coastal and aquatic adap-</P><br />
<P STYLE="margin-bottom: 0in">tations. For freely sharing ideas and<br />
information that contributed to my research,</P><br />
<P STYLE="margin-bottom: 0in">I thank Virginia Butler, James Dunbar,<br />
Anders Fischer, Leland Gilsen, Michael</P><br />
<P STYLE="margin-bottom: 0in">Glassow, Nina Jablonski, Antoinette<br />
Jerardino, Alan McCartney, Jerry Moore,</P><br />
<P STYLE="margin-bottom: 0in">Greg Nelson, John Parkington, Geoffrey<br />
Pope, Douglas Price, Mark Raab, Jim</P><br />
<P STYLE="margin-bottom: 0in">Richardson, Torben Rick, Anna<br />
Roosevelt, Dan Sandweiss, Judith Sealy, Ren&acute;<br />
       e</P></p>
<p><P STYLE="margin-bottom: 0in">Vellanoweth, Larry Wilcoxon, John<br />
Yellen, and David Yesner. Jim Richardson,</P><br />
<P STYLE="margin-bottom: 0in">Stephen Nash, and an anonymous reviewer<br />
provided constructive criticisms that</P><br />
<P STYLE="margin-bottom: 0in">helped me revise an earlier draft. I am<br />
also grateful to Gary Feinman and Douglas</P><br />
<P STYLE="margin-bottom: 0in">Price for inviting me to write this<br />
paper, for their editorial comments and as-</P><br />
<P STYLE="margin-bottom: 0in">sistance, and for their patience. Most<br />
of all, however, I am deeply indebted to</P><br />
<P STYLE="margin-bottom: 0in">Madonna Moss—my wife, colleague, and<br />
best friend—for sharing so many of</P><br />
<P STYLE="margin-bottom: 0in">my coastal journeys (physical and<br />
intellectual) over the years and for her detailed</P><br />
<P STYLE="margin-bottom: 0in">comments on an earlier version of this<br />
paper. Only I am responsible, of course, for</P><br />
<P STYLE="margin-bottom: 0in">the opinions expressed in this paper.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
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<P STYLE="margin-bottom: 0in">     Survey of 16 Timber Harvest Units<br />
in the Tongass National Forest, Southeastern Alaska, Project</P><br />
<P STYLE="margin-bottom: 0in">     Report No. 3, Center for Northwest<br />
Anthropology, Washington State University, Pullman.</P><br />
<P STYLE="margin-bottom: 0in">Aikens, C. M., and Akazawa, T. (1996).<br />
The Pleistocene-Holocene transition in Japan and adjacent</P><br />
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<P STYLE="margin-bottom: 0in">     16–25.</P><br />
<P STYLE="margin-bottom: 0in">Josenhans, H. W., Fedje, D. W.,<br />
Pienitz, R., and Southon, J. R. (1997). Early humans and rapidly</P><br />
<P STYLE="margin-bottom: 0in">     changing Holocene sea levels in<br />
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<P STYLE="margin-bottom: 0in">Kennett, D. J., Ingram, B. L.,<br />
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ﬂuc-</P></p>
<p><P STYLE="margin-bottom: 0in">     tuations in marine radiocarbon<br />
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<P STYLE="margin-bottom: 0in">Klein, R. G., and Cruz-Uribe, K.<br />
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<P STYLE="margin-bottom: 0in">     566.</P><br />
<P STYLE="margin-bottom: 0in">Raab, L. M., and Larson, D. O. (1997).<br />
Medieval climatic anomaly and punctuated cultural evolution</P><br />
<P STYLE="margin-bottom: 0in">     in coastal southern California.<br />
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<p><P STYLE="margin-bottom: 0in">Ross, A., and Duffy, R. (2000). Fine<br />
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<P STYLE="margin-bottom: 0in">     bone: The development of ﬂotation<br />
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Erlandson, J. M., and Yesner, D. R. (eds.) (1996). Humans at the End<br />
of</P><br />
<P STYLE="margin-bottom: 0in">     the Ice Age: The Archaeology of<br />
the Pleistocene-Holocene Transition, Plenum Press, New York.</P><br />
<P STYLE="margin-bottom: 0in">Tveskov, M. A. (1997). Maritime<br />
settlement and subsistence along the southern New England coast:</P><br />
<P STYLE="margin-bottom: 0in">     Evidence from Block Island, Rhode<br />
Island. North American Archaeologist 18: 343–361.</P></p>
<p><P STYLE="margin-bottom: 0in">8-1</P><br />
<P STYLE="margin-bottom: 0in">Missing</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in">8-2</P><br />
<P STYLE="margin-bottom: 0in">Missing</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in">8-3</P><br />
<P STYLE="margin-bottom: 0in"><BR></p>
<p></P><br />
<P STYLE="margin-bottom: 0in">Thinking outside the box: a new</P><br />
<P STYLE="margin-bottom: 0in">perspective on diet breadth and</P><br />
<P STYLE="margin-bottom: 0in">sexual division of labor in the</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic Great Basin</P><br />
<P STYLE="margin-bottom: 0in">Robert G. Elston and David W. Zeanah</P><br />
<P STYLE="margin-bottom: 0in">Abstract</P><br />
<P STYLE="margin-bottom: 0in">The archaeological record of the<br />
Pleistocene/Holocene transition (PHT) demonstrates that the</P><br />
<P STYLE="margin-bottom: 0in">technology and mobility of Prearchaic<br />
hunter-gatherers differed dramatically from later Holocene</P></p>
<p><P STYLE="margin-bottom: 0in">foragers, suggesting a hunting-oriented<br />
subsistence. However, meager PHT faunal assemblages</P><br />
<P STYLE="margin-bottom: 0in">imply a generalized, broad-spectrum<br />
diet. Ethnographic analogy fails to provide a behavioral frame-</P><br />
<P STYLE="margin-bottom: 0in">work for understanding this discrepancy<br />
because the resource structure of the PHT differed utterly</P><br />
<P STYLE="margin-bottom: 0in">from the ethnographic present.<br />
Palaeoenvironmental data alone are incapable of retrodicting</P><br />
<P STYLE="margin-bottom: 0in">ancient diets without an understanding<br />
of foraging costs in extinct resource landscapes. This paper</P><br />
<P STYLE="margin-bottom: 0in">reviews recent studies using behavioral<br />
ecology as a theoretical framework for simulating foraging</P><br />
<P STYLE="margin-bottom: 0in">behavior in a PHT resource landscape.<br />
The simulation for Railroad Valley, Nevada, suggests the</P><br />
<P STYLE="margin-bottom: 0in">explanation for the diversity of<br />
subsistence remains in PHT records lies in different foraging</P><br />
<P STYLE="margin-bottom: 0in">strategies for men and women, rather<br />
than risk aversion alone. Furthermore, the simulation suggests</P></p>
<p><P STYLE="margin-bottom: 0in">that Prearchaic hunter-gatherers<br />
enjoyed a narrower diet breadth than later foragers, prompting</P><br />
<P STYLE="margin-bottom: 0in">the mobility and technological pro les<br />
evinced in the PHT archaeological record.</P><br />
<P STYLE="margin-bottom: 0in">Keywords</P><br />
<P STYLE="margin-bottom: 0in">Great Basin; Pleistocene/Holocene<br />
transition; foraging behavior; simulation; sexual division of labor.</P><br />
<P STYLE="margin-bottom: 0in">Introduction</P><br />
<P STYLE="margin-bottom: 0in">The North American Great Basin (Fig. 1)<br />
is renowned for its rich ethnographic record</P><br />
<P STYLE="margin-bottom: 0in">documenting the ecological<br />
relationships of hunter-gatherers and the arid setting in which</P><br />
<P STYLE="margin-bottom: 0in">they lived. Informed by ethnographic<br />
analogy, over fty years of archaeological research</P><br />
<P STYLE="margin-bottom: 0in">has demonstrated the existence of<br />
similar, although variable, ‘Archaic’ lifeways through</P></p>
<p><P STYLE="margin-bottom: 0in">much of the Holocene (Jennings 1957,<br />
1964; Willey and Phillips 1958). More problematic</P><br />
<P STYLE="margin-bottom: 0in">is the pattern characterized by<br />
dramatically different technological organization and site</P><br />
<P STYLE="margin-bottom: 0in">                           World<br />
Archaeology Vol. 34(1): 103–130 Archaeology &amp; Evolutionary<br />
Ecology</P><br />
<P STYLE="margin-bottom: 0in">                                      &copy;<br />
2002 Taylor &amp; Francis Ltd ISSN 0043-8243 print/1470-1375 online</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              DOI: 10.1080/0043824022013428 7</P></p>
<p><P STYLE="margin-bottom: 0in">104    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">distribution in the Great Basin during<br />
the Pleistocene–Holocene transition (PHT),</P><br />
<P STYLE="margin-bottom: 0in">roughly between 11,200 and 8,000 BP.<br />
Understanding the nature of PHT adaptive</P><br />
<P STYLE="margin-bottom: 0in">strategies is an enduring problem in<br />
Great Basin prehistory (Beck and Jones 1997;</P><br />
<P STYLE="margin-bottom: 0in">Grayson 1993; Simms 1988; Willig and<br />
Aikens 1988). This task is complicated by PHT</P><br />
<P STYLE="margin-bottom: 0in">environments utterly unlike any of<br />
historical times, leaving Great Basin archaeologists</P><br />
<P STYLE="margin-bottom: 0in">without valid ethnographic analogs to<br />
assist interpretation of PHT material culture.</P><br />
<P STYLE="margin-bottom: 0in">Figure 1 Physiographic Great Basin<br />
showing maximum extent of Pleistocene lakes, existing lakes</P><br />
<P STYLE="margin-bottom: 0in">(after Benson et al. 1972) and research<br />
areas mentioned in the text and in Fig. 4.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                               105</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    Thinking outside the box</P><br />
<P STYLE="margin-bottom: 0in">   The significance of differences<br />
between PHT foragers and later hunter-gatherer s</P><br />
<P STYLE="margin-bottom: 0in">divides archaeologists. Early<br />
assemblages contain an array of large projectile points</P><br />
<P STYLE="margin-bottom: 0in">and formal flaked tools resembling<br />
those of Great Plains and Southwestern Palaeoin-</P><br />
<P STYLE="margin-bottom: 0in">dians, but few ground stone tools,<br />
while middle to late Holocene assemblages contain</P><br />
<P STYLE="margin-bottom: 0in">smaller points, fewer formal flaked<br />
tools and abundant ground stone. These contrasts</P></p>
<p><P STYLE="margin-bottom: 0in">suggest PHT foragers emphasized hunting<br />
more than subsequent hunter-gatherers .</P><br />
<P STYLE="margin-bottom: 0in">However, lack of PHT megafauna hunting<br />
or butchering sites, or evidence that such</P><br />
<P STYLE="margin-bottom: 0in">animals survived in the Great Basin<br />
after 11,300 BP (Grayson 1993), obviates special-</P><br />
<P STYLE="margin-bottom: 0in">ized big-game hunting similar to that<br />
in Palaeoindian models (Madsen 1982; Tuohy</P><br />
<P STYLE="margin-bottom: 0in">1974). Moreover, direct subsistence<br />
evidence retrieved from coprolites (Eisalt 1997;</P><br />
<P STYLE="margin-bottom: 0in">Fry 1970, 1976; Napton 1997), and from<br />
a growing number of faunal assemblages (Beck</P><br />
<P STYLE="margin-bottom: 0in">and Jones 1997; Delacorte 1999; Pinson<br />
1999), reveals a diet that included seeds, fish,</P><br />
<P STYLE="margin-bottom: 0in">and small animals.</P><br />
<P STYLE="margin-bottom: 0in">   Thus, many archaeologists see in the<br />
PHT the roots of later broad-spectrum hunting</P></p>
<p><P STYLE="margin-bottom: 0in">and gathering, using the terms<br />
Palaeoarchaic or Initial Archaic for PHT foragers (Beck</P><br />
<P STYLE="margin-bottom: 0in">and Jones 1997; Jones and Beck 1999;<br />
Pinson 1999), or eschewing categories altogether</P><br />
<P STYLE="margin-bottom: 0in">(Madsen 1999; Simms 1988).<br />
Nevertheless, while many aspects of technology and subsist-</P><br />
<P STYLE="margin-bottom: 0in">ence appearing in the PHT persist<br />
through the later Holocene, we, and others (Basgall</P><br />
<P STYLE="margin-bottom: 0in">1988; Elston 1982, 1986a; Jennings<br />
1986; Zeanah et al. 1995), emphasize the unique</P><br />
<P STYLE="margin-bottom: 0in">features of PHT archaeology with the<br />
term Prearchaic.</P><br />
<P STYLE="margin-bottom: 0in">   The problem concerns more than<br />
cultural-historical classi cation, going to the root of</P><br />
<P STYLE="margin-bottom: 0in">long-held notions about cultural<br />
ecology and Great Basin adaptive change. If Prearchaic</P></p>
<p><P STYLE="margin-bottom: 0in">adaptive strategies differ only in<br />
degree from ethnohistoric broad-spectrum adaptations,</P><br />
<P STYLE="margin-bottom: 0in">how can we explain the dramatically<br />
different technologies and settlement patterns</P><br />
<P STYLE="margin-bottom: 0in">manifested in the archaeological<br />
record? On the other hand, if we let the archaeology</P><br />
<P STYLE="margin-bottom: 0in">guide us to an inductive reconstruction<br />
of an extinct, specialized subsistence adaptation,</P><br />
<P STYLE="margin-bottom: 0in">how do we reconcile subsistence<br />
evidence that seems out of sync with the material</P><br />
<P STYLE="margin-bottom: 0in">culture?</P><br />
<P STYLE="margin-bottom: 0in">   The dilemma calls for a research<br />
strategy that lets us think ‘outside the box’ imposed</P><br />
<P STYLE="margin-bottom: 0in">by Great Basin cultural history and<br />
culture ecology. Some aspects of this research strat-</P></p>
<p><P STYLE="margin-bottom: 0in">egy concern purely methodological<br />
issues of locating buried PHT deposits in the Great</P><br />
<P STYLE="margin-bottom: 0in">Basin, developing chronologies,<br />
extracting subsistence data from surface assemblages and</P><br />
<P STYLE="margin-bottom: 0in">so forth (Beck and Jones 1997; Grayson<br />
1993; Pinson 1999; Willig 1988). However, induc-</P><br />
<P STYLE="margin-bottom: 0in">tion alone can succeed only in<br />
identifying ancient archaeological patterns unexplainable</P><br />
<P STYLE="margin-bottom: 0in">by reference to ethnography (O’Connell<br />
and Elston 1999). A theoretically based</P><br />
<P STYLE="margin-bottom: 0in">approach is required, one more<br />
informative of behavior than induction, and independent</P><br />
<P STYLE="margin-bottom: 0in">of ethnographic models. We are<br />
presently developing such an approach to be used in</P><br />
<P STYLE="margin-bottom: 0in">future archaeological tests.</P><br />
<P STYLE="margin-bottom: 0in">   Almost twenty years ago, behavioral<br />
ecology was nominated as a suitable theoretical</P></p>
<p><P STYLE="margin-bottom: 0in">approach to the Prearchaic (O’Connell<br />
et al. 1982). In this paper, we describe salient</P><br />
<P STYLE="margin-bottom: 0in">features of PHT environment and<br />
Prearchaic technological adaptation, discuss develop-</P><br />
<P STYLE="margin-bottom: 0in">ment of behavioral ecology (BE) as a<br />
research strategy for investigating Prearchaic adap-</P><br />
<P STYLE="margin-bottom: 0in">tations, examine three applications of<br />
BE and discuss its implications for interpreting</P><br />
<P STYLE="margin-bottom: 0in">likely hunter-gatherer ecology in PHT<br />
resource landscapes. We concentrate on the inter-</P><br />
<P STYLE="margin-bottom: 0in">val 10,500–8,000 BP to which most<br />
extant archaeological data pertain.</P><br />
<P STYLE="margin-bottom: 0in">106    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">Environments of the<br />
Pleistocene–Holocene transition</P><br />
<P STYLE="margin-bottom: 0in">The Great Basin of North America is a<br />
region of internal drainage, broken into many</P></p>
<p><P STYLE="margin-bottom: 0in">mountain ranges and intervening valleys<br />
(Fig. 1). Great Basin environments responded</P><br />
<P STYLE="margin-bottom: 0in">to global climate changes (Fig. 2) of<br />
the PHT, although climatic effects varied from place</P><br />
<P STYLE="margin-bottom: 0in">to place (Benson 1999; Benson et al.<br />
1995; Madsen 1999, 2000; Thompson et al. 1993).</P><br />
<P STYLE="margin-bottom: 0in">Plant species continually shifted<br />
range, location and abundance, forming communities</P><br />
<P STYLE="margin-bottom: 0in">with no modern analogs. High<br />
biodiversity and species turnover (Grayson 2000; Nowak</P><br />
<P STYLE="margin-bottom: 0in">et al. 1994) suggest a dynamic<br />
landscape in which climax was rarely approached. Never-</P><br />
<P STYLE="margin-bottom: 0in">theless, some environmental<br />
generalizations are warranted.</P><br />
<P STYLE="margin-bottom: 0in">   After the cold and relatively dry<br />
last glacial maximum (LGM), a warmer and wetter</P></p>
<p><P STYLE="margin-bottom: 0in">climate produced shrinking glaciers and<br />
rising valley lakes (Madsen 2000; Thompson et</P><br />
<P STYLE="margin-bottom: 0in">al. 1993). Between 14,000 BP and 13,000<br />
BP, lakes achieved their maxima (Fig. 1), but</P><br />
<P STYLE="margin-bottom: 0in">regressed rapidly after 12,000 BP,<br />
perhaps to desiccation. The last records of Pleistocene</P><br />
<P STYLE="margin-bottom: 0in">megafauna in the Great Basin occur<br />
about 11,300 BP (Grayson 1993). The Younger Dryas</P><br />
<P STYLE="margin-bottom: 0in">(YD) was an abrupt global return to<br />
glacial climate between 11,200 BP and 10,100 BP,</P><br />
<P STYLE="margin-bottom: 0in">brie y re lling lakes (Madsen 1999,<br />
2000). The rst well-dated signs of human occupation</P><br />
<P STYLE="margin-bottom: 0in">(Beck and Jones 1997; Grayson 1993)<br />
appear with its onset.</P><br />
<P STYLE="margin-bottom: 0in">   The early Holocene (EH) began with<br />
an abrupt return to a warming climate, 2–3&deg;C</P></p>
<p><P STYLE="margin-bottom: 0in">cooler and moister than present, with<br />
greater seasonality. After the extreme variability of</P><br />
<P STYLE="margin-bottom: 0in">the late Pleistocene, EH climate was<br />
much more even (Fig. 2). Valley lakes regressed after</P><br />
<P STYLE="margin-bottom: 0in">the YD, but many basins contained<br />
shallow lakes and marshes until after 8,000 BP</P><br />
<P STYLE="margin-bottom: 0in">(Grayson 1993; Madsen 1999). In the<br />
northern Great Basin, a cool steppe comprised of</P><br />
<P STYLE="margin-bottom: 0in">sagebrush, mesophilic shrubs, perennial<br />
forbs and grasses extended from lake/marsh</P><br />
<P STYLE="margin-bottom: 0in">margins into the surrounding mountain<br />
ranges with stands of juniper, mountain</P><br />
<P STYLE="margin-bottom: 0in">Figure 2 Late Pleistocene- Early<br />
Holocene global temperatures based on GISP2 data (from Pinson</P><br />
<P STYLE="margin-bottom: 0in">1999, used with permission).</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                         107</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                            Thinking outside the box</P><br />
<P STYLE="margin-bottom: 0in">mahogany and riparian aspen (Madsen<br />
1999; Nowak et al. 1994; Rhode 2000). Increasing</P><br />
<P STYLE="margin-bottom: 0in">desert scrub species in pollen records<br />
re ect the gradual desiccation of basins between</P><br />
<P STYLE="margin-bottom: 0in">9,000 and 8,000 BP.</P><br />
<P STYLE="margin-bottom: 0in">   The relatively cool, even EH<br />
climate, abundant surface water and complex steppe vege-</P><br />
<P STYLE="margin-bottom: 0in">tation created productive habitats for<br />
a rich biota of sh, waterfowl and mammals</P><br />
<P STYLE="margin-bottom: 0in">(Broughton 2000; Grayson 1993, 2000,<br />
Hockett 2000; Livingston 2000). In the northern</P><br />
<P STYLE="margin-bottom: 0in">Great Basin, many small mammal species<br />
(e.g. pygmy rabbits, woodrats, marmots, pikas)</P></p>
<p><P STYLE="margin-bottom: 0in">occurred at lower elevations than<br />
present (Grayson 2000). While early fossil and,</P><br />
<P STYLE="margin-bottom: 0in">especially, archaeological records of<br />
ungulates are rare, elk and bison infrequently occur</P><br />
<P STYLE="margin-bottom: 0in">in northern Great Basin sites (Bedwell<br />
1973; Dansie 1987; Jennings 1957). Somewhat</P><br />
<P STYLE="margin-bottom: 0in">more numerous records of deer, mountain<br />
sheep and antelope suggest these animals were</P><br />
<P STYLE="margin-bottom: 0in">probably present in about the same<br />
relative proportions throughout the Holocene</P><br />
<P STYLE="margin-bottom: 0in">(Livingston 1999). To help assess their<br />
abundance in the EH, consider that Great Basin</P><br />
<P STYLE="margin-bottom: 0in">brushy steppe today supports large<br />
numbers of domestic cattle, wild horses and ungulates</P><br />
<P STYLE="margin-bottom: 0in">(Burkhardt 1995). Because there is a<br />
direct positive relationship between annual precipi-</P><br />
<P STYLE="margin-bottom: 0in">tation and plant biomass and animal<br />
productivity (Coe et al. 1976; Zeanah et al. 1995),</P></p>
<p><P STYLE="margin-bottom: 0in">grazing capacity in the cool, moist EH<br />
should have been greater than later in the</P><br />
<P STYLE="margin-bottom: 0in">Holocene. Bio-diversity, which also in<br />
uences grazing capacity, remained high through</P><br />
<P STYLE="margin-bottom: 0in">the EH (Grayson 2000). For example, a<br />
fossil woodrat midden in the Lahontan Basin</P><br />
<P STYLE="margin-bottom: 0in">(Nowak et al. 1994) contained many more<br />
taxa of shrubs, forbes and grasses used as forage</P><br />
<P STYLE="margin-bottom: 0in">by various animals at the PHT than are<br />
now present at the site (Table 1).</P><br />
<P STYLE="margin-bottom: 0in">   Large magnitude, high-frequency<br />
climatic uctuations of the PHT (Fig. 2) have been</P><br />
<P STYLE="margin-bottom: 0in">implicated in possible reduction of<br />
ungulate populations and food plants, with resulting</P><br />
<P STYLE="margin-bottom: 0in">stress on human populations (Madsen<br />
1999; Pinson 1999). However, little evidence</P></p>
<p><P STYLE="margin-bottom: 0in">supports this contention. If numbers of<br />
radiocarbon dates are a crude measure of human</P><br />
<P STYLE="margin-bottom: 0in">abundance, Great Basin foragers appear<br />
to have ourished between 10,500 BP and 8,500</P><br />
<P STYLE="margin-bottom: 0in">BP (Fig. 3).</P><br />
<P STYLE="margin-bottom: 0in">Table 1 Forage plant taxa (shrubs,<br />
forbes and grasses) in a fossil woodrat nest in the Lahontan Basin</P><br />
<P STYLE="margin-bottom: 0in">(data from Nowak et al. 1994).</P><br />
<P STYLE="margin-bottom: 0in"><br />
Numbers of forage plant taxa</P><br />
<P STYLE="margin-bottom: 0in"><br />
Present*                 Fossil**             Percentage increase</P><br />
<P STYLE="margin-bottom: 0in">Antelope                          8<br />
                  5                    38.5</P></p>
<p><P STYLE="margin-bottom: 0in">Mule deer                        10<br />
                  9                    47.4</P><br />
<P STYLE="margin-bottom: 0in">Mountain sheep                   12<br />
                  8                    40.0</P><br />
<P STYLE="margin-bottom: 0in">Rabbit/hare                      13<br />
                  6                    31.6</P><br />
<P STYLE="margin-bottom: 0in">Ground squirrel                   7<br />
                  6                    46.2</P><br />
<P STYLE="margin-bottom: 0in">Woodrat/marmot                    3<br />
                  2                    40.0</P><br />
<P STYLE="margin-bottom: 0in">Notes</P><br />
<P STYLE="margin-bottom: 0in">* taxa present in both fossil and<br />
modern ora at site.</P><br />
<P STYLE="margin-bottom: 0in">** taxa present only in fossil record<br />
or modern ora at higher elevation.</P><br />
<P STYLE="margin-bottom: 0in">108    Robert G. Elston and David W.<br />
Zeanah</P></p>
<p><P STYLE="margin-bottom: 0in">Figure 3 Numbers of Great Basin<br />
radiocarbon dates by 500-year interval (charcoal or organic items</P><br />
<P STYLE="margin-bottom: 0in">only – no bone or bulk dates).</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic–Archaic contrasts in<br />
technology, settlement and land use</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic foragers of the Great Basin<br />
behaved differently from Archaic folks, even</P><br />
<P STYLE="margin-bottom: 0in">though both employed many of the same<br />
components of material culture, including</P><br />
<P STYLE="margin-bottom: 0in">cordage, baskets, mats, bags, shnets,<br />
atlatls and darts, woven fur robes, ber sandals, skin</P><br />
<P STYLE="margin-bottom: 0in">moccasins, milling stones and aked<br />
stone tools (Beck and Jones 1997). In part, we can</P><br />
<P STYLE="margin-bottom: 0in">understand these behavioral contrasts<br />
by reference to middle-range theory and the econ-</P><br />
<P STYLE="margin-bottom: 0in">omics of resource procurement in PHT<br />
and later Holocene environments.</P></p>
<p><P STYLE="margin-bottom: 0in">   People tend to locate themselves in<br />
places most convenient to resources they pursue;</P><br />
<P STYLE="margin-bottom: 0in">however, environmental change may<br />
create or eliminate resources, or change their abun-</P><br />
<P STYLE="margin-bottom: 0in">dance or distribution (Binford 1977,<br />
1979; Pinson 1999; Raven and Elston 1989; Zeanah</P><br />
<P STYLE="margin-bottom: 0in">et al. 1995). During the EH, roughly<br />
similar foraging opportunities pertained from valley</P><br />
<P STYLE="margin-bottom: 0in">to valley: highly productive shallow<br />
lakes and marshes on the valley oors (Fig. 1), brushy</P><br />
<P STYLE="margin-bottom: 0in">steppe from shoreline to the tops of<br />
most mountains, riparian woodlands along streams</P><br />
<P STYLE="margin-bottom: 0in">and juniper woodland with a brushy or<br />
herbaceous understory on ridges. The marsh-</P><br />
<P STYLE="margin-bottom: 0in">steppe ecotone was convenient to both<br />
marshes and piedmont; hence, a good choice for</P></p>
<p><P STYLE="margin-bottom: 0in">bases from which to forage in a variety<br />
of low to mid-elevation habitats (Pinson 1999).</P><br />
<P STYLE="margin-bottom: 0in">Extensive valley marshes offered<br />
foragers seeds, shoots, pollen, birds and bird eggs, shell-</P><br />
<P STYLE="margin-bottom: 0in"> sh, sh and small mammals. Moreover,<br />
large animals may have found marsh-side forage</P><br />
<P STYLE="margin-bottom: 0in">and cover attractive. Lower to<br />
mid-elevation steppe and riparian woodland provided</P><br />
<P STYLE="margin-bottom: 0in">high-quality habitat for ungulates<br />
(Grayson 1993; Jones and Beck 1999) comparable to</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                  109</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      Thinking outside the box</P></p>
<p><P STYLE="margin-bottom: 0in">modern upper montane habitats<br />
(historically best for hunting large game). The most</P><br />
<P STYLE="margin-bottom: 0in">extensive Prearchaic sites often lie in<br />
what now are poor habitats where later Archaic sites</P><br />
<P STYLE="margin-bottom: 0in">are rare, but which in the PHT were<br />
prime for exploiting lake/marsh resources and</P><br />
<P STYLE="margin-bottom: 0in">hunting in mid- to low-elevation<br />
steppe. These include lowland settings (beach bars or</P><br />
<P STYLE="margin-bottom: 0in">lunettes) associated with pluvial lakes<br />
or marshes, elevated old surfaces on valley margins</P><br />
<P STYLE="margin-bottom: 0in">or Pleistocene river and stream<br />
terraces (Basgall 1988: 104; Beck and Jones 1994, 1997;</P><br />
<P STYLE="margin-bottom: 0in">Elston and Bullock 1994; Elston et al.<br />
1977; Jones et al. 1996; Pinson 1999; Rusco and</P><br />
<P STYLE="margin-bottom: 0in">Davis 1979; Willig 1988; Zancanella<br />
1988). Fewer Prearchaic sites occur in upland-</P><br />
<P STYLE="margin-bottom: 0in">montane locations where most are small<br />
lithic scatters and isolates.</P></p>
<p><P STYLE="margin-bottom: 0in">   Several lines of evidence indicate<br />
low population density and high residential mobility</P><br />
<P STYLE="margin-bottom: 0in">for Prearchaic foragers. Prearchaic<br />
sites are relatively few and, while sometimes spatially</P><br />
<P STYLE="margin-bottom: 0in">extensive (e.g. Graf 2001), artifacts<br />
are usually sparse. Prearchaic lithic assemblages</P><br />
<P STYLE="margin-bottom: 0in">exhibit little variability, suggesting<br />
minimal functional differentiation between sites. Sites</P><br />
<P STYLE="margin-bottom: 0in">lack midden accumulations or evidence<br />
of stored food. Very few residential structures</P><br />
<P STYLE="margin-bottom: 0in">date to the EH; none represents<br />
long-term occupation (Connolly and Jenkins 1995;</P><br />
<P STYLE="margin-bottom: 0in">Harrington 1957; Pinson 1999).<br />
Toolstone distributions from known sources suggest either</P><br />
<P STYLE="margin-bottom: 0in">more extensive social networks or<br />
operation over larger territories than in the Archaic</P></p>
<p><P STYLE="margin-bottom: 0in">(Basgall 1989; Beck and Jones 2001;<br />
Graf 2001) (Fig. 4). With low population density, little</P><br />
<P STYLE="margin-bottom: 0in">competition for resources, and similar<br />
sets of resources valley to valley, people might have</P><br />
<P STYLE="margin-bottom: 0in">employed a land-use pattern similar to<br />
the megapatch strategy proposed by Beaton (1991)</P><br />
<P STYLE="margin-bottom: 0in">where it would pay to pick off<br />
high-ranked resources in short-term occupations and then</P><br />
<P STYLE="margin-bottom: 0in">move on to the next patch offering<br />
similar opportunities. Frequent residential moves</P><br />
<P STYLE="margin-bottom: 0in">(especially on the predominant<br />
north–south axes suggested by toolstone distributions)</P><br />
<P STYLE="margin-bottom: 0in">may have helped avoid seasonal<br />
shortages and the need for food storage (Basgall 1989;</P><br />
<P STYLE="margin-bottom: 0in">Elston 1986b).</P><br />
<P STYLE="margin-bottom: 0in">   The few studies of EH coprolites and<br />
other archaeological residues indicate that</P></p>
<p><P STYLE="margin-bottom: 0in">Prearchaic people made use of plants,<br />
small mammals, birds, sh and shell sh, as well as</P><br />
<P STYLE="margin-bottom: 0in">large ungulates such as antelope,<br />
mountain sheep, elk and bison (Beck and Jones 1997;</P><br />
<P STYLE="margin-bottom: 0in">Dansie 1987; Delacorte 1999; Eisalt<br />
1997; Fry 1970, 1976; Napton 1997, Pinson 1999). The</P><br />
<P STYLE="margin-bottom: 0in">range of items in this diet is similar<br />
to Archaic diets. However, Prearchaic and Archaic</P><br />
<P STYLE="margin-bottom: 0in">lithic toolkits suggest greater<br />
investments in opposite ends of the diet spectrum.</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic assemblages are rich in<br />
formal, hafted aked stone tools (points, bifaces and</P><br />
<P STYLE="margin-bottom: 0in">scrapers) good for hunting and<br />
processing large animals (Fig. 5). Although light duty</P><br />
<P STYLE="margin-bottom: 0in">milling stones are occasionally present<br />
in Prearchaic assemblages, evidence of intensive</P><br />
<P STYLE="margin-bottom: 0in">seed processing and storage<br />
characteristic of the Archaic is rare. Seeds were as surely in</P></p>
<p><P STYLE="margin-bottom: 0in">the Prearchaic diet as large game, but<br />
seed harvesting received less investment and</P><br />
<P STYLE="margin-bottom: 0in">hunting greater investment in<br />
Prearchaic technology than in Archaic technology.</P><br />
<P STYLE="margin-bottom: 0in">   In the warmer, dryer climates of the<br />
early Middle Holocene (MH) and later, overall</P><br />
<P STYLE="margin-bottom: 0in">biological productivity was lower,<br />
sources of surface water became more scarce and less</P><br />
<P STYLE="margin-bottom: 0in">equably distributed as lakes and<br />
marshes in most valleys disappeared (Grayson 1993).</P><br />
<P STYLE="margin-bottom: 0in">Some valleys continued to offered<br />
abundant resources, while others were deserts domi-</P><br />
<P STYLE="margin-bottom: 0in">nated by bare playas. MH environmental<br />
heterogeneity and patchiness increased further</P><br />
<P STYLE="margin-bottom: 0in">by northward spread of pinyon pine<br />
across the Great Basin. The degree to which people</P></p>
<p><P STYLE="margin-bottom: 0in">operated logistically from xed bases or<br />
frequently moved camp (Binford 1977, 1979) was</P><br />
<P STYLE="margin-bottom: 0in">increasingly in uenced by local<br />
resource structure and population density (Elston 1982).</P><br />
<P STYLE="margin-bottom: 0in">110    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">Figure 4 Obsidian sources for<br />
Prearchaic lithic assemblages from the Sadmat and Coleman sites in</P><br />
<P STYLE="margin-bottom: 0in">western Nevada (Graf 2001), and from<br />
Butte Valley, eastern Nevada (Beck and Jones 2001).</P><br />
<P STYLE="margin-bottom: 0in">From the MH, Great Basin people foraged<br />
in many lowland and upland settings, result-</P><br />
<P STYLE="margin-bottom: 0in">ing in a more complex archaeological<br />
record where sites display higher assemblage vari-</P><br />
<P STYLE="margin-bottom: 0in">ability. Some sites were short-term<br />
camps or task sites, while others assumed a residential</P><br />
<P STYLE="margin-bottom: 0in">character, with middens, substantial<br />
structures and storage features (Elston 1986a). Along</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                        111</P><br />
<P STYLE="margin-bottom: 0in"><br />
                            Thinking outside the box</P><br />
<P STYLE="margin-bottom: 0in">Figure 5 Prearchaic lithic tools: a)<br />
uted point; b) crescent (after Fagan 1988); c–f) stemmed points;</P><br />
<P STYLE="margin-bottom: 0in">g–i) unifacial scrapers (after Davis<br />
and Rusco 1987).</P><br />
<P STYLE="margin-bottom: 0in">112    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">with storage, heavy-duty seed-milling<br />
equipment became abundant. However, the</P><br />
<P STYLE="margin-bottom: 0in">seasonal Archaic pattern (also observed<br />
ethnographically) of living in winter camps on</P><br />
<P STYLE="margin-bottom: 0in">stored food (especially seeds), and<br />
becoming more mobile during the remainder of the</P></p>
<p><P STYLE="margin-bottom: 0in">year, seems to have begun in the MH.<br />
With the passage of time, Great Basin foragers</P><br />
<P STYLE="margin-bottom: 0in">operated in smaller territories, became<br />
more sedentary, invested more in storage, harvest-</P><br />
<P STYLE="margin-bottom: 0in">ing and milling equipment and less in<br />
formal aked stone tools (e.g. Bettinger 1999).</P><br />
<P STYLE="margin-bottom: 0in">Theoretical perspectives of Prearchaic<br />
subsistence based on behavioral ecology</P><br />
<P STYLE="margin-bottom: 0in">Before 1982, archaeologists lacked a<br />
guiding theoretical context capable of garnering</P><br />
<P STYLE="margin-bottom: 0in">insights from extant data to guide<br />
future research or re ne subsistence-settlement models.</P><br />
<P STYLE="margin-bottom: 0in">A lack of suitable ethnographic<br />
analogies for EH foraging adaptations hindered investi-</P><br />
<P STYLE="margin-bottom: 0in">gations of the Prearchaic. Middle range<br />
theory helped interpret functional and techno-</P><br />
<P STYLE="margin-bottom: 0in">logical variability in sites and<br />
artifacts, but did little to explain it. Big-game hunting</P></p>
<p><P STYLE="margin-bottom: 0in">proponents eagerly awaited discoveries<br />
of kill and butchery sites, but were unable to</P><br />
<P STYLE="margin-bottom: 0in">reconcile mounting evidence for use of<br />
a broader array of resources. Advocates of</P><br />
<P STYLE="margin-bottom: 0in">generalized foraging were unable to<br />
accommodate the hunting-oriented technology, or</P><br />
<P STYLE="margin-bottom: 0in">evidence of extensive mobility, into<br />
their notions of adaptive continuity.</P><br />
<P STYLE="margin-bottom: 0in">   In this context, O’Connell et al.<br />
(1982: 234–35) advocated behavioral ecology (BE) as</P><br />
<P STYLE="margin-bottom: 0in">a theoretically coherent approach for<br />
predicting prehistoric subsistence patterns where</P><br />
<P STYLE="margin-bottom: 0in">suitable ethnographic models do not<br />
apply. Such attempts have drawn three modeling</P><br />
<P STYLE="margin-bottom: 0in">tools from the theoretical arsenal of<br />
BE: diet breadth, patch choice and risk. In this</P></p>
<p><P STYLE="margin-bottom: 0in">section, we trace the development of a<br />
behavioral ecological research strategy for investi-</P><br />
<P STYLE="margin-bottom: 0in">gating Prearchaic adaptations, and<br />
discuss the implications such models have for inter-</P><br />
<P STYLE="margin-bottom: 0in">preting EH forager ecology.</P><br />
<P STYLE="margin-bottom: 0in">Models of Prearchaic diet breadth</P><br />
<P STYLE="margin-bottom: 0in">O’Connell and colleagues (1982) used<br />
the diet breadth model (DBM) to explain the rarity</P><br />
<P STYLE="margin-bottom: 0in">of EH milling stones. The DBM ranks<br />
resources according to the ratio of calories to</P><br />
<P STYLE="margin-bottom: 0in">handling time, assuming that foragers<br />
take encountered prey only if it yields higher caloric</P><br />
<P STYLE="margin-bottom: 0in">returns than those offered by searching<br />
for higher-ranked resources. Two DBM predic-</P><br />
<P STYLE="margin-bottom: 0in">tions are that the abundance of<br />
high-ranked resources determines whether lower-ranked</P></p>
<p><P STYLE="margin-bottom: 0in">resources fall into the optimal diet,<br />
and that fewer encounters with higher-ranked prey</P><br />
<P STYLE="margin-bottom: 0in">can expand diet breadth to include<br />
lower-ranked resources (Schoener 1971). High-ranked</P><br />
<P STYLE="margin-bottom: 0in">resources in EH environments were<br />
presumed to have been suf ciently abundant for</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic foragers to bypass<br />
low-ranked seeds. As climatic changes diminished the abun-</P><br />
<P STYLE="margin-bottom: 0in">dance of higher-ranked prey, Archaic<br />
foragers added seeds to their diets and milling</P><br />
<P STYLE="margin-bottom: 0in">equipment to their technological<br />
repertoire. This hypothesis relied on a reasonable</P><br />
<P STYLE="margin-bottom: 0in">assumption that seeds ranked lower than<br />
most other Great Basin foods (i.e. medium and</P><br />
<P STYLE="margin-bottom: 0in">large-sized game, roots and sh).</P><br />
<P STYLE="margin-bottom: 0in">   Simms (1987) tested this assumption<br />
by experimentally harvesting an array of Great</P></p>
<p><P STYLE="margin-bottom: 0in">Basin plant resources, estimating<br />
animal return rates from historical, ethnographic and</P><br />
<P STYLE="margin-bottom: 0in">wildlife management sources. Seeds<br />
ranked lowest, although their return rates varied</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                113</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    Thinking outside the box</P><br />
<P STYLE="margin-bottom: 0in">widely by species, harvest timing,<br />
procurement mode and abundance. Game proved</P><br />
<P STYLE="margin-bottom: 0in">among the highest-ranked resources,<br />
with rank correlating roughly with body size.1 Given</P><br />
<P STYLE="margin-bottom: 0in">DBM predictions, it seemed reasonable<br />
to infer that Prearchaic and Archaic foragers took</P><br />
<P STYLE="margin-bottom: 0in">large game whenever available, but<br />
harvested seeds only when higher-ranked resources</P></p>
<p><P STYLE="margin-bottom: 0in">were scarce. However, Simms could not<br />
demonstrate that diminished encounters with</P><br />
<P STYLE="margin-bottom: 0in">large game and consequent diet breadth<br />
expansion accounted for intensi ed seed usage</P><br />
<P STYLE="margin-bottom: 0in">during the MH. Estimating<br />
nineteenth-century encounter rates, he calculated the diet</P><br />
<P STYLE="margin-bottom: 0in">breadth of ethnohistoric foragers,<br />
predicting that women should have bypassed lower-</P><br />
<P STYLE="margin-bottom: 0in">ranked seeds under all conditions,<br />
including the absence of large game. Clearly, the DBM</P><br />
<P STYLE="margin-bottom: 0in">contradicts the ethnographic record<br />
documenting Great Basin women harvesting and</P><br />
<P STYLE="margin-bottom: 0in">storing small seeds. Because the DBM<br />
fails to predict ethnohistoric small-seed harvest-</P><br />
<P STYLE="margin-bottom: 0in">ing, even in the absence of large game,<br />
it also fails to predict seed usage by either</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic or Archaic foragers.<br />
Consequently, the MH proliferation of milling stones</P></p>
<p><P STYLE="margin-bottom: 0in">cannot re ect the inclusion of seeds<br />
into MH diets because of declining large game</P><br />
<P STYLE="margin-bottom: 0in">encounters. Noting this predictive<br />
failure, Simms (1987: 82–3) speculated that intensi ed</P><br />
<P STYLE="margin-bottom: 0in">MH seed use might have resulted from<br />
seed storability, rather than short-term foraging</P><br />
<P STYLE="margin-bottom: 0in">ef ciency; gatherers stored seeds<br />
anticipating seasonal food shortages.</P><br />
<P STYLE="margin-bottom: 0in">   In contrast to the predicted<br />
exclusion of seeds from all prehistoric diets, Simms (1987:</P><br />
<P STYLE="margin-bottom: 0in">88) calculated that Prearchaic<br />
encounters with large game would have had to have been</P><br />
<P STYLE="margin-bottom: 0in">as much as twenty- ve times greater<br />
than ethnohistoric encounter rates to bump small</P><br />
<P STYLE="margin-bottom: 0in">game and higher-ranked plants out of<br />
men’s optimal diets. Simms concluded that these</P></p>
<p><P STYLE="margin-bottom: 0in">middle-ranked resources were rmly<br />
ensconced in Prearchaic diet under any plausible</P><br />
<P STYLE="margin-bottom: 0in">scenario of large game abundance. Based<br />
on this assessment, Simms (1987: 98) conceded</P><br />
<P STYLE="margin-bottom: 0in">that Prearchaic folk may have taken<br />
large game more often than Archaic foragers did,</P><br />
<P STYLE="margin-bottom: 0in">but argued that EH game could not have<br />
been abundant enough to support a specialized</P><br />
<P STYLE="margin-bottom: 0in">big-game hunting adaptation.<br />
Fluctuations in resource abundance demanded that</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic foragers make frequent<br />
adjustments to diet breadth, ranging from broad-</P><br />
<P STYLE="margin-bottom: 0in">spectrum seed harvesting to big-game<br />
hunting on a daily, seasonal or yearly basis. This</P><br />
<P STYLE="margin-bottom: 0in">notion of Prearchaic adaptive exibility<br />
accounted for occasional Prearchaic milling</P><br />
<P STYLE="margin-bottom: 0in">stones, coprolite evidence that<br />
Prearchaic foragers ate seeds and the persistence of some</P></p>
<p><P STYLE="margin-bottom: 0in">Prearchaic point types into the MH<br />
(Simms 1988).</P><br />
<P STYLE="margin-bottom: 0in">Models of Prearchaic patch choice</P><br />
<P STYLE="margin-bottom: 0in">The DBM merely ranks resources by<br />
relative returns while assuming that resources are</P><br />
<P STYLE="margin-bottom: 0in">randomly distributed. However, foragers<br />
face a more complicated world. Observing that</P><br />
<P STYLE="margin-bottom: 0in">Simms’ modeling exercise did not<br />
consider the spatial and seasonal distribution of</P><br />
<P STYLE="margin-bottom: 0in">resources in EH environments,<br />
Intermountain Research (IMR) used the patch choice</P><br />
<P STYLE="margin-bottom: 0in">model (PCM) to simulate Prearchaic<br />
subsistence and settlement (Elston et al. 1995). The</P><br />
<P STYLE="margin-bottom: 0in">PCM predicts foraging choices in patchy<br />
environments by ranking resource patches</P><br />
<P STYLE="margin-bottom: 0in">according to caloric return. Foraging<br />
in a patch is economical if the returns for seeking</P></p>
<p><P STYLE="margin-bottom: 0in">and handling resources within that<br />
patch exceed the overall returns for traveling to and</P><br />
<P STYLE="margin-bottom: 0in">foraging within higher-ranked patches.<br />
The PCM predicts that foragers prefer the most</P><br />
<P STYLE="margin-bottom: 0in">pro table patches, and that a change in<br />
resource abundance may alter the array of patches</P><br />
<P STYLE="margin-bottom: 0in">selected (MacArthur and Pianka 1966).</P><br />
<P STYLE="margin-bottom: 0in">114    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">   Estimating the composition and<br />
distribution of biotic habitats by soil type, IMR simu-</P><br />
<P STYLE="margin-bottom: 0in">lated the nineteenth-century resource<br />
landscape of the Carson Desert in western Nevada,</P><br />
<P STYLE="margin-bottom: 0in">classifying the biota associated with<br />
each soil as a patch and modeling patch choice</P></p>
<p><P STYLE="margin-bottom: 0in">decisions by seasonality and sexual<br />
division of labor (Raven and Elston 1989; Zeanah et</P><br />
<P STYLE="margin-bottom: 0in">al. 1995; Zeanah 1996). This landscape<br />
served as a baseline against which palaeoenviron-</P><br />
<P STYLE="margin-bottom: 0in">mental data could be compared to<br />
approximate EH resource distributions and Prearchaic</P><br />
<P STYLE="margin-bottom: 0in">foraging decisions.</P><br />
<P STYLE="margin-bottom: 0in">   IMR assumed that higher EH<br />
precipitation fostered abundant small and large game, as</P><br />
<P STYLE="margin-bottom: 0in">well as plant foods around lowland<br />
wetland communities in distributions dramatically</P><br />
<P STYLE="margin-bottom: 0in">contrasting with discrete<br />
nineteenth-century upland, desert and wetland patches. IMR</P><br />
<P STYLE="margin-bottom: 0in">calculated the optimal diet of<br />
Prearchaic men and women (Fig. 6) for an array of wetland</P></p>
<p><P STYLE="margin-bottom: 0in">and terrestrial prey types reasonably<br />
presumed available within foraging distance of an</P><br />
<P STYLE="margin-bottom: 0in">EH lowland camp. IMR used Simms’<br />
(1987) return rate estimates for the ethnohistoric</P><br />
<P STYLE="margin-bottom: 0in">Great Basin, but increased his<br />
encounters with game by 75 per cent, corresponding to the</P><br />
<P STYLE="margin-bottom: 0in">greater densities of forage expected<br />
for the EH Carson Desert.</P><br />
<P STYLE="margin-bottom: 0in">   Like Simms, IMR’s simulation<br />
predicted that Prearchaic women would have bypassed</P><br />
<P STYLE="margin-bottom: 0in">most seeds in favor of the<br />
highest-ranked plants and small game. The optimal diet of men</P><br />
<P STYLE="margin-bottom: 0in">always included medium and large game<br />
but, unlike Simms’ estimates, excluded smaller</P><br />
<P STYLE="margin-bottom: 0in">game. Unlike ethnohistoric foragers,<br />
Prearchaic men should have achieved higher return</P></p>
<p><P STYLE="margin-bottom: 0in">Figure 6 Simulated autumn foraging<br />
returns for men and women foragers in early Holocene</P><br />
<P STYLE="margin-bottom: 0in">wetlands.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              115</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    Thinking outside the box</P><br />
<P STYLE="margin-bottom: 0in">rates than women, with both men’s and<br />
women’s foraging best in lowland patches. IMR</P><br />
<P STYLE="margin-bottom: 0in">proposed that this encouraged a<br />
residentially mobile adaptation in which men’s hunting</P><br />
<P STYLE="margin-bottom: 0in">opportunities determined residential<br />
movements and women’s foraging opportunities</P><br />
<P STYLE="margin-bottom: 0in">determined site location. Although<br />
Prearchaic foragers could not be stereotyped as ‘big-</P></p>
<p><P STYLE="margin-bottom: 0in">game hunters’, the EH ecological<br />
setting prompted a hunting-oriented adaptation signi -</P><br />
<P STYLE="margin-bottom: 0in">cantly different from later<br />
hunter-gatherers. IMR argued that this perspective best</P><br />
<P STYLE="margin-bottom: 0in">accounted for specialized Prearchaic<br />
lithic assemblages, point distributions and evidence</P><br />
<P STYLE="margin-bottom: 0in">for high residential mobility.</P><br />
<P STYLE="margin-bottom: 0in">A model of Prearchaic risk sensitivity</P><br />
<P STYLE="margin-bottom: 0in">A third application of BE to model<br />
Prearchaic foraging used the Z-score model (ZSM)</P><br />
<P STYLE="margin-bottom: 0in">to consider foraging risk in EH<br />
environments (Pinson 1999). The ZSM predicts forager</P><br />
<P STYLE="margin-bottom: 0in">choices when return rates vary<br />
stochastically by considering the mean and variance of</P><br />
<P STYLE="margin-bottom: 0in">resource return rates. It assumes that<br />
acquisition of a minimum quantity of food within a</P></p>
<p><P STYLE="margin-bottom: 0in">limited period is critical. If average<br />
foraging returns exceed a critical threshold (i.e.</P><br />
<P STYLE="margin-bottom: 0in">starvation, reproductive success),<br />
pursuit of low-variance resources minimizes the risk of</P><br />
<P STYLE="margin-bottom: 0in">falling short. If foraging means fall<br />
below the threshold, gambling on high-variance</P><br />
<P STYLE="margin-bottom: 0in">resources maximizes chances that<br />
foraging returns will exceed minimum requirements</P><br />
<P STYLE="margin-bottom: 0in">(Stephens and Charnov 1982).</P><br />
<P STYLE="margin-bottom: 0in">   Pinson’s (1999) hypothesis is that<br />
starvation risk imposed a minimum threshold for</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic foragers. Pinson assumed<br />
variance in return rates correlates with prey size,2</P><br />
<P STYLE="margin-bottom: 0in">and that Simms’ (1987) resource<br />
ranking correlates with mean return rates. Prearchaic</P></p>
<p><P STYLE="margin-bottom: 0in">hunter-gatherers should have been<br />
either risk-averse or risk-prone.3 Risk-prone</P><br />
<P STYLE="margin-bottom: 0in">foragers followed predictions of the<br />
DBM and PCM, preferentially pursuing large</P><br />
<P STYLE="margin-bottom: 0in">ungulates over smaller game and<br />
foraging in habitats where encounters with large game</P><br />
<P STYLE="margin-bottom: 0in">were most likely. In contrast,<br />
risk-averse foragers preferred lower-ranked, but</P><br />
<P STYLE="margin-bottom: 0in">predictable, small mammals, fish and<br />
fowl, foraging in locations offering access to</P><br />
<P STYLE="margin-bottom: 0in">multiple habitats. Pinson did not<br />
consider the effects of sexual division of labor on</P><br />
<P STYLE="margin-bottom: 0in">resource choice or risk sensitivity.</P><br />
<P STYLE="margin-bottom: 0in">   These predictions found support in<br />
analyses of faunal assemblages and point distri-</P></p>
<p><P STYLE="margin-bottom: 0in">butions in the Alkali Basin of<br />
southeastern Oregon. EH faunal assemblages have rela-</P><br />
<P STYLE="margin-bottom: 0in">tively low ratios of artiodactyl to<br />
lagomorph bone compared with later Holocene</P><br />
<P STYLE="margin-bottom: 0in">              4</P><br />
<P STYLE="margin-bottom: 0in">assemblages, and EH projectile points<br />
cluster in locations offering access to multiple</P><br />
<P STYLE="margin-bottom: 0in">biotic habitats. Pinson interprets this<br />
as evidence that Prearchaic foragers avoided</P><br />
<P STYLE="margin-bottom: 0in">starvation risk by emphasizing<br />
small-game procurement at the expense of large-game</P><br />
<P STYLE="margin-bottom: 0in">hunting.</P><br />
<P STYLE="margin-bottom: 0in">Evaluation of Z score and patch choice<br />
models of early Holocene adaptation</P></p>
<p><P STYLE="margin-bottom: 0in">Given that three attempts to model<br />
Prearchaic adaptations have been made in the twenty</P><br />
<P STYLE="margin-bottom: 0in">years since BE was introduced to Great<br />
Basin archaeology, it is worth considering</P><br />
<P STYLE="margin-bottom: 0in">whether BE has contributed any<br />
meaningful insight. Prospects seem bleak at rst glance</P><br />
<P STYLE="margin-bottom: 0in">since the three applications make<br />
contradictory inferences about Prearchaic foraging</P><br />
<P STYLE="margin-bottom: 0in">116    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">behavior, claiming to retrodict<br />
broad-spectrum foragers, big-game hunters and small-</P><br />
<P STYLE="margin-bottom: 0in">game specialists. However, all three<br />
agree that specialized big-game hunting is ecologi-</P><br />
<P STYLE="margin-bottom: 0in">cally untenable in EH Great Basin<br />
environments, expecting that Prearchaic foragers</P><br />
<P STYLE="margin-bottom: 0in">procured a more generalized array of<br />
prey. Of contention is whether Prearchaic adapta-</P></p>
<p><P STYLE="margin-bottom: 0in">tions were categorically different from<br />
later Archaic patterns; if so, what roles did large-</P><br />
<P STYLE="margin-bottom: 0in">game hunting and generalized foraging<br />
play in determining the distinctive strategies? We</P><br />
<P STYLE="margin-bottom: 0in">have seen that DBM alone is useful for<br />
ranking resources, but that patch choice conditions</P><br />
<P STYLE="margin-bottom: 0in">diet breadth, in turn conditioned by<br />
environment. Therefore, in the following discussion</P><br />
<P STYLE="margin-bottom: 0in">we evaluate the ZSM as applied to the<br />
North Alkali Basin, Oregon (Pinson 1999), and</P><br />
<P STYLE="margin-bottom: 0in">the PCM (in which the DBM is included)<br />
in Railroad Valley, Nevada (Zeanah et al. 1999).</P><br />
<P STYLE="margin-bottom: 0in">The ZSM in North Alkali Valley, Oregon:<br />
risk-averse pursuit of low-ranked resources</P><br />
<P STYLE="margin-bottom: 0in">Pinson (1999) interprets the prevalence<br />
of small game in EH faunal assemblages of south-</P><br />
<P STYLE="margin-bottom: 0in">eastern Oregon as evidence that<br />
starvation promoted a distinctive, risk-averse, Prearchaic</P></p>
<p><P STYLE="margin-bottom: 0in">foraging strategy. The Oregon faunal<br />
pro le is consistent with coprolite evidence from</P><br />
<P STYLE="margin-bottom: 0in">the Bonneville and Lahontan basins for<br />
generalized diets (Eiselt 1997; Fry 1976), and is</P><br />
<P STYLE="margin-bottom: 0in">duplicated by EH faunal assemblages<br />
from south-eastern California (Delacorte 1999).</P><br />
<P STYLE="margin-bottom: 0in">These ndings do not contradict DBM and<br />
PCM simulations (Elston et al. 1995; Simms</P><br />
<P STYLE="margin-bottom: 0in">1987) that predict such resources to<br />
have been regular prey of Prearchaic women. The</P><br />
<P STYLE="margin-bottom: 0in">real question is whether the scarce<br />
remains of large ungulates in the faunal record demon-</P><br />
<P STYLE="margin-bottom: 0in">strates that Prearchaic foragers<br />
avoided risk by shunning large game.</P><br />
<P STYLE="margin-bottom: 0in">   Pinson (1999: 109–13) proposes<br />
that EH foraging risk was induced by local variations</P></p>
<p><P STYLE="margin-bottom: 0in">in water budget, precipitation,<br />
watershed catchment and so on, causing lake basin produc-</P><br />
<P STYLE="margin-bottom: 0in">tivity to vary unpredictably. When<br />
moving into a new basin, Prearchaic foragers could not</P><br />
<P STYLE="margin-bottom: 0in">anticipate the abundance of prey based<br />
on previous encounter rates, and, thus, avoided</P><br />
<P STYLE="margin-bottom: 0in">starvation risk by procuring the most<br />
dependable resources. Yet Prearchaic foragers must</P><br />
<P STYLE="margin-bottom: 0in">occasionally have entered basins where<br />
foraging returns proved unlikely to surpass the</P><br />
<P STYLE="margin-bottom: 0in">starvation threshold. The ZSM predicts<br />
that such foragers should choose higher-variance</P><br />
<P STYLE="margin-bottom: 0in">resources over alternatives that are<br />
more predictable: risk-averse strategies should char-</P><br />
<P STYLE="margin-bottom: 0in">acterize only situations where mean<br />
foraging returns are securely above the starvation</P><br />
<P STYLE="margin-bottom: 0in">limit. If risk was the primary<br />
constraint of Prearchaic adaptations, there should be</P></p>
<p><P STYLE="margin-bottom: 0in">evidence for both specialized<br />
large-game hunting and small-resource procurement rather</P><br />
<P STYLE="margin-bottom: 0in">than consistent evidence of generalized<br />
foraging.</P><br />
<P STYLE="margin-bottom: 0in">   Pinson’s scenario does not address<br />
why, if foragers are risk-averse, they should even</P><br />
<P STYLE="margin-bottom: 0in">bother to move from one basin to<br />
another. EH lowland environments supported abun-</P><br />
<P STYLE="margin-bottom: 0in">dant and diverse populations of sh,<br />
small mammals and waterfowl that should have been</P><br />
<P STYLE="margin-bottom: 0in">resilient to over-exploitation by<br />
Prearchaic foragers (cf. Winterhalder et al. 1988). Late</P><br />
<P STYLE="margin-bottom: 0in">prehistoric and ethnographic foragers<br />
exploiting such patches tended to stay put, moving</P><br />
<P STYLE="margin-bottom: 0in">out only when extraordinary resource<br />
opportunities became available elsewhere or in</P></p>
<p><P STYLE="margin-bottom: 0in">response to catastrophic environmental<br />
failures (Fowler 1990, 1992; Raven 1992; Raven</P><br />
<P STYLE="margin-bottom: 0in">and Elston 1989). If EH environments<br />
were really as patchy and unpredictable as</P><br />
<P STYLE="margin-bottom: 0in">proposed by Pinson, Prearchaic foragers<br />
should have employed land-use strategies similar</P><br />
<P STYLE="margin-bottom: 0in">to those of the Archaic, generating<br />
similar archaeological residues. We agree that EH</P><br />
<P STYLE="margin-bottom: 0in">ungulate abundance was probably<br />
sensitive to hunting pressure, and, as well, varied with</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                 117</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    Thinking outside the box</P><br />
<P STYLE="margin-bottom: 0in">seasonal migrations (cf. Winterhalder<br />
et al. 1988). But, in fact, there seems little reason</P></p>
<p><P STYLE="margin-bottom: 0in">for Prearchaic hunter-gatherers to move<br />
from basin to basin except to maximize large-</P><br />
<P STYLE="margin-bottom: 0in">game encounters in the more homogeneous<br />
and productive EH environments we en-</P><br />
<P STYLE="margin-bottom: 0in">vision. Such a strategy would account<br />
for the hunting orientation and evidence of high</P><br />
<P STYLE="margin-bottom: 0in">mobility in Prearchaic lithic<br />
assemblages.</P><br />
<P STYLE="margin-bottom: 0in">   One constraint of the standard ZSM<br />
is that risk-averse foragers forgo the opportunity</P><br />
<P STYLE="margin-bottom: 0in">to seek higher-return prey by pursuing<br />
low-variance resources. Making this assumption</P><br />
<P STYLE="margin-bottom: 0in">of Prearchaic foragers fails to<br />
consider the role of sexual division of labor in alleviating</P><br />
<P STYLE="margin-bottom: 0in">scheduling con icts. The Hadza of<br />
eastern Africa provide a useful analogy (Hawkes 1990;</P></p>
<p><P STYLE="margin-bottom: 0in">Hawkes et al. 1991). Hadza men pursue<br />
big game to the exclusion of smaller prey even</P><br />
<P STYLE="margin-bottom: 0in">though many days of failure separate<br />
hunting successes. Women and children avoid</P><br />
<P STYLE="margin-bottom: 0in">starvation by procuring small game,<br />
roots, berries and nuts. A similar division of labor</P><br />
<P STYLE="margin-bottom: 0in">likely characterized Prearchaic<br />
foraging strategies:5 men pursued high-return but high-</P><br />
<P STYLE="margin-bottom: 0in">variance large game, while women<br />
procured more secure, but lower-ranked resources.</P><br />
<P STYLE="margin-bottom: 0in">Therefore, Prearchaic foragers would<br />
not have had to abandon hunting in order to</P><br />
<P STYLE="margin-bottom: 0in">provision themselves daily with smaller<br />
resources.</P><br />
<P STYLE="margin-bottom: 0in">   We propose that small seed usage is<br />
a more likely example of risk-averse foraging than</P></p>
<p><P STYLE="margin-bottom: 0in">small-game procurement. Both Simms<br />
(1987) and IMR (Zeanah et al. 1995) predicted the</P><br />
<P STYLE="margin-bottom: 0in">exclusion of small seeds in optimal<br />
diets of Prearchaic through ethnohistoric hunter-</P><br />
<P STYLE="margin-bottom: 0in">gatherers. 6 Obviously, ethnographic<br />
and archaeological data demonstrating that seeds</P><br />
<P STYLE="margin-bottom: 0in">were a critical food resource after the<br />
Prearchaic challenge this prediction.</P><br />
<P STYLE="margin-bottom: 0in">   Noting this predictive failure,<br />
Simms (1987) rst suggested that Archaic women stored</P><br />
<P STYLE="margin-bottom: 0in">seeds to avoid over-winter food<br />
shortages. Although expensive to process for consump-</P><br />
<P STYLE="margin-bottom: 0in">tion, seeds can be stored with<br />
relatively little effort, allowing gatherers to defer high</P><br />
<P STYLE="margin-bottom: 0in">processing costs for future periods of<br />
scarcity (Bettinger 1999). If so, seed storage quali-</P></p>
<p><P STYLE="margin-bottom: 0in">  es as risk-averse foraging, because<br />
Archaic women were, by de nition, forgoing oppor-</P><br />
<P STYLE="margin-bottom: 0in">tunities to pursue higher-ranked prey<br />
to create a predictable food patch by stockpiling</P><br />
<P STYLE="margin-bottom: 0in">food resources too low ranked to enter<br />
their optimal diet.7 If risk aversion rather than</P><br />
<P STYLE="margin-bottom: 0in">energy maximization accounts for<br />
Archaic seed usage, then there should have been less</P><br />
<P STYLE="margin-bottom: 0in">of a need for food storage in the EH<br />
than in later periods.</P><br />
<P STYLE="margin-bottom: 0in">Patch choice and EH and MH foraging<br />
ecology in Railroad Valley</P><br />
<P STYLE="margin-bottom: 0in">To contrast EH and MH foraging<br />
strategies, it is instructive to consider IMR’s (Zeanah</P><br />
<P STYLE="margin-bottom: 0in">et al. 1999) simulation of foraging<br />
ecology in Railroad Valley, eastern Nevada, using</P></p>
<p><P STYLE="margin-bottom: 0in">similar techniques for estimating<br />
biotic habitats by soil type that were employed in the</P><br />
<P STYLE="margin-bottom: 0in">Carson Desert. However, more detailed<br />
regional palaeoenvironmental data, better infor-</P><br />
<P STYLE="margin-bottom: 0in">mation on the productive capacity of<br />
modern soil types and improved GIS (Geographic</P><br />
<P STYLE="margin-bottom: 0in">Information System) capabilities<br />
permitted a more nely tuned reconstruction of prehis-</P><br />
<P STYLE="margin-bottom: 0in">toric foraging landscapes than was<br />
feasible in the Carson Desert.</P><br />
<P STYLE="margin-bottom: 0in">   Annual herbaceous biomass<br />
productivity (Fig. 7) was estimated for EH and MH forag-</P><br />
<P STYLE="margin-bottom: 0in">ing landscapes in Railroad Valley by<br />
putting an EH lake on the modern playa and alter-</P><br />
<P STYLE="margin-bottom: 0in">ing the modern productivity of soil<br />
types to re ect expected EH and MH parameters of</P></p>
<p><P STYLE="margin-bottom: 0in">precipitation, water table and erosion.<br />
These resource mosaics formed the setting for</P><br />
<P STYLE="margin-bottom: 0in">simulating the optimal diet breadth of<br />
male and female foragers randomly encountering</P><br />
<P STYLE="margin-bottom: 0in">118    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">prey in each habitat by season.<br />
Obviously, these palaeoenvironmental reconstructions and</P><br />
<P STYLE="margin-bottom: 0in">foraging simulations must be cautiously<br />
regarded as only tentative, rough approximations.</P><br />
<P STYLE="margin-bottom: 0in">However, they allow us to gauge the<br />
effects of palaeoenvironmental change on foraging</P><br />
<P STYLE="margin-bottom: 0in">behavior in a theoretically consistent<br />
manner.</P><br />
<P STYLE="margin-bottom: 0in">   Mean and standard deviation of<br />
simulated men’s foraging returns by season for the</P></p>
<p><P STYLE="margin-bottom: 0in">  fteen most productive Railroad Valley<br />
habitats are shown in Figure 8. The gure also</P><br />
<P STYLE="margin-bottom: 0in">shows the thresholds under which<br />
lower-ranked seeds and small game begin to enter</P><br />
<P STYLE="margin-bottom: 0in">optimal diets. Compared to the EH,<br />
hunting returns of MH men diminish as much 75 per</P><br />
<P STYLE="margin-bottom: 0in">cent in all seasons, suggesting that<br />
hunting was much less productive in the MH. Women’s</P><br />
<P STYLE="margin-bottom: 0in">MH foraging returns (Fig. 9) lessen<br />
much less dramatically, with autumn returns increas-</P><br />
<P STYLE="margin-bottom: 0in">ing slightly (due to arrival of pinyon<br />
as a new resource). During summer, autumn and</P><br />
<P STYLE="margin-bottom: 0in">early winter, women’s foraging<br />
returns were too high to allow small seeds into optimal</P><br />
<P STYLE="margin-bottom: 0in">diets under both EH and MH climatic<br />
scenarios. However, MH women experience a 60</P></p>
<p><P STYLE="margin-bottom: 0in">per cent reduction in late<br />
winter-spring foraging returns that should allow even the lowest-</P><br />
<P STYLE="margin-bottom: 0in">ranked seeds into the diet, but in the<br />
season when most small seeds are unavailable. This</P><br />
<P STYLE="margin-bottom: 0in">diminution of women’s foraging<br />
opportunities re ects the desiccation of lakeside</P><br />
<P STYLE="margin-bottom: 0in">wetlands in Railroad Valley, removing<br />
sh, waterfowl, eggs and wetland small mammals</P><br />
<P STYLE="margin-bottom: 0in">from women’s springtime prey<br />
opportunities.</P><br />
<P STYLE="margin-bottom: 0in">Figure 7 Above-ground annual herbaceous<br />
biomass estimated for early and middle Holocene Rail-</P><br />
<P STYLE="margin-bottom: 0in">road Valley, Nevada.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                        119</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                        Thinking outside the box</P><br />
<P STYLE="margin-bottom: 0in">Figure 8 Men’s foraging returns (mean<br />
and standard deviation) by season for the fteen highest-</P><br />
<P STYLE="margin-bottom: 0in">ranked habitats in Railroad Valley,<br />
showing thresholds at which different resource classes enter the</P><br />
<P STYLE="margin-bottom: 0in">diet.</P><br />
<P STYLE="margin-bottom: 0in">Figure 9 Women’s foraging returns<br />
(mean and standard deviation) by season for the fteen highest-</P><br />
<P STYLE="margin-bottom: 0in">ranked habitats in Railroad Valley,<br />
showing thresholds at which different resource classes enter the</P><br />
<P STYLE="margin-bottom: 0in">diet.</P><br />
<P STYLE="margin-bottom: 0in">Conclusion</P></p>
<p><P STYLE="margin-bottom: 0in">If broad-spectrum foraging and sexual<br />
division of labor were always components of</P><br />
<P STYLE="margin-bottom: 0in">Great Basin foraging strategies, what<br />
accounts for the Prearchaic–Archaic contrast in</P><br />
<P STYLE="margin-bottom: 0in">the archaeological record? We propose<br />
that Prearchaic technology and settlement</P><br />
<P STYLE="margin-bottom: 0in">120    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">pattern are responses to low human<br />
population amid a unique landscape and resource</P><br />
<P STYLE="margin-bottom: 0in">structure. Our simulations point to key<br />
ecological differences between Prearchaic and</P><br />
<P STYLE="margin-bottom: 0in">Archaic subsistence strategies in the<br />
Great Basin. Large animals should have been rela-</P><br />
<P STYLE="margin-bottom: 0in">tively abundant in low to mid-elevation<br />
brushy steppe from fall to spring where they</P><br />
<P STYLE="margin-bottom: 0in">could have been hunted from lowland<br />
bases. EH wetlands provided a relatively secure</P></p>
<p><P STYLE="margin-bottom: 0in">late winter-early spring foraging patch<br />
for women where they could take small game,</P><br />
<P STYLE="margin-bottom: 0in">waterfowl and fish from the same sites.<br />
The abundance of expansive wetlands, and lack</P><br />
<P STYLE="margin-bottom: 0in">of competition throughout the Great<br />
Basin, allowed Prearchaic foragers high mobility</P><br />
<P STYLE="margin-bottom: 0in">that maximized men’s encounters with<br />
large game without sacrificing women’s foraging</P><br />
<P STYLE="margin-bottom: 0in">interests.</P><br />
<P STYLE="margin-bottom: 0in">   If lithic technology and tool<br />
morphology are adaptively signi cant, the function of</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic lithic assemblages is clear.<br />
In addition to ake tools and choppers, these assem-</P><br />
<P STYLE="margin-bottom: 0in">blages include bifaces, projectile<br />
points, steep-edged end- and side-scrapers, bifaces, ne</P></p>
<p><P STYLE="margin-bottom: 0in">gravers and awls, and crescents, but<br />
they rarely contain milling stones (Basgall 1988; Beck</P><br />
<P STYLE="margin-bottom: 0in">and Jones 1997; Davis and Rusco 1987;<br />
Elston 1986a; Willig 1988). Flaked stone tool</P><br />
<P STYLE="margin-bottom: 0in">preforms are frequently blades or<br />
blade-like akes; tools are notable for their large size.</P><br />
<P STYLE="margin-bottom: 0in">Stemmed bifaces are often multipurpose,<br />
serving variously as points, knives and scrapers</P><br />
<P STYLE="margin-bottom: 0in">(Jones and Beck 1999). The large size<br />
and abundance of formal tools in Prearchaic lithic</P><br />
<P STYLE="margin-bottom: 0in">assemblages re ect both mobility and<br />
the importance of capture and processing tasks for</P><br />
<P STYLE="margin-bottom: 0in">which the tools were used (Bleed 1986;<br />
Elston 1990, 1992; Goodyear 1979; Kelly 1988,</P><br />
<P STYLE="margin-bottom: 0in">1992; Kelly and Todd 1988; Tomka 2001;<br />
Torrence 1983, 1989; Ugan and Rogers 2000).</P><br />
<P STYLE="margin-bottom: 0in">Bifaces provide a means for mobile<br />
foragers to transport toolstone in a useful form far</P></p>
<p><P STYLE="margin-bottom: 0in">from toolstone sources, and are<br />
reliable, maintainable and exible (easily converted to</P><br />
<P STYLE="margin-bottom: 0in">another form). These qualities, and the<br />
ability to predict tool-use life, are enhanced in</P><br />
<P STYLE="margin-bottom: 0in">bifaces and other formal tools by use<br />
of high-quality toolstone, large tool size, standard-</P><br />
<P STYLE="margin-bottom: 0in">ized symmetrical form and standardized<br />
maintenance techniques. Such a formal, stan-</P><br />
<P STYLE="margin-bottom: 0in">dardized lithic technology is more<br />
expensive to master and maintain than expedient</P><br />
<P STYLE="margin-bottom: 0in">approaches (Elston 1992). However, the<br />
pay-offs are enhanced tool reliability and work</P><br />
<P STYLE="margin-bottom: 0in">ef ciency (Bleed 1986; Tomka 2001).</P><br />
<P STYLE="margin-bottom: 0in">   Although one could use this tool kit<br />
to capture and process fish, small mammals, and</P></p>
<p><P STYLE="margin-bottom: 0in">plants, it seems more appropriate for<br />
use on larger prey. Indeed, Tomka (2001) argues</P><br />
<P STYLE="margin-bottom: 0in">that proportions of formal and<br />
standardized tools (particularly knives and scrapers) in</P><br />
<P STYLE="margin-bottom: 0in">lithic assemblages relate directly to<br />
intensity of large-animal processing. He suggests</P><br />
<P STYLE="margin-bottom: 0in">that the long-term trend in North<br />
America toward greater reliance on expedient tools,</P><br />
<P STYLE="margin-bottom: 0in">noted by Parry and Kelly (1987), is<br />
better explained as a decreasing reliance on</P><br />
<P STYLE="margin-bottom: 0in">strategies of high-volume animal<br />
hunting and processing than as decreasing residential</P><br />
<P STYLE="margin-bottom: 0in">mobility.</P><br />
<P STYLE="margin-bottom: 0in">   Extirpation of Great Basin wetlands<br />
during the MH removed women’s critical forag-</P></p>
<p><P STYLE="margin-bottom: 0in">ing patches from most basins, creating<br />
signi cant risk of food shortages. Residential sites</P><br />
<P STYLE="margin-bottom: 0in">were established at perennial springs<br />
and associated wetlands (Fagan 1974; O’Connell</P><br />
<P STYLE="margin-bottom: 0in">1975; Elston 1982). By accumulating<br />
seed stores during periods of seasonal abundance,</P><br />
<P STYLE="margin-bottom: 0in">MH women minimized resource variance,<br />
decreasing the chances of falling short of food</P><br />
<P STYLE="margin-bottom: 0in">during the winter. Dependence on<br />
storage tethered Archaic foragers to their seed caches,</P><br />
<P STYLE="margin-bottom: 0in">reducing their overall mobility and<br />
spawning a profound reorganization of tool produc-</P><br />
<P STYLE="margin-bottom: 0in">tion, toolstone procurement and hunting<br />
strategies (e.g. Eckerle and Hobey 1999). Men</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                 121</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                     Thinking outside the box</P><br />
<P STYLE="margin-bottom: 0in">continued to hunt, but more and more in<br />
logistical forays from relatively xed bases. As</P><br />
<P STYLE="margin-bottom: 0in">men’s and women’s diets<br />
increasingly overlapped, men invested less in hunting equip-</P><br />
<P STYLE="margin-bottom: 0in">ment, while women invested more in<br />
plant-processing tools. Mass large-game procure-</P><br />
<P STYLE="margin-bottom: 0in">ment techniques occurred too<br />
infrequently for investment in specialized formal</P><br />
<P STYLE="margin-bottom: 0in">processing tools to pay off. This<br />
explanation accounts not only for the MH disappearance</P><br />
<P STYLE="margin-bottom: 0in">of formal chipped stone tool industries<br />
and the proliferation of milling equipment, but</P><br />
<P STYLE="margin-bottom: 0in">also the appearance of storage features<br />
and prolonged duration residential base camps</P></p>
<p><P STYLE="margin-bottom: 0in">(Bedwell 1973; O’Connell 1975;<br />
Hattori 1982; Schroedl and Coulam 1994).</P><br />
<P STYLE="margin-bottom: 0in">   We cannot base contrasts between<br />
Prearchaic and Archaic foragers in the Great Basin</P><br />
<P STYLE="margin-bottom: 0in">on either diet breadth or<br />
risk-sensitivity alone. Broad-spectrum foraging spans at least the</P><br />
<P STYLE="margin-bottom: 0in">Late Palaeolithic (Stiner et al. 2000),<br />
and was always a feature of Great Basin foraging.</P><br />
<P STYLE="margin-bottom: 0in">Moreover, Great Basin foragers<br />
continued to hunt existing large game through the mid-</P><br />
<P STYLE="margin-bottom: 0in">Holocene and into the ethnohistoric<br />
period. Starvation was a risk faced by hunter-</P><br />
<P STYLE="margin-bottom: 0in">gatherers throughout Great Basin<br />
prehistory, moderated by a complex of tactics, includ-</P><br />
<P STYLE="margin-bottom: 0in">ing variable diet breadth and mobility,<br />
and sexual division of labor (Zeanah n.d.),</P></p>
<p><P STYLE="margin-bottom: 0in">although the implications of the latter<br />
for Great Basin foraging strategies have been little</P><br />
<P STYLE="margin-bottom: 0in">appreciated. Great Basin men’s and<br />
women’s diets overlapped somewhat, but like male</P><br />
<P STYLE="margin-bottom: 0in">foragers elsewhere (Hawkes 1996), men<br />
tended to pursue more high-ranked but highly</P><br />
<P STYLE="margin-bottom: 0in">variable resources such as large game,<br />
while women focused on lower-ranked, less vari-</P><br />
<P STYLE="margin-bottom: 0in">able resources such as waterfowl, sh<br />
and seeds that require little processing. This division</P><br />
<P STYLE="margin-bottom: 0in">allowed Great Basin foragers to have it<br />
both ways: women saw to it everyone had some-</P><br />
<P STYLE="margin-bottom: 0in">thing to eat, while men brought home<br />
the occasional high-return prey. Therefore, men</P><br />
<P STYLE="margin-bottom: 0in">invested heavily in hunting technology,<br />
while women had no need to invest in equipment</P><br />
<P STYLE="margin-bottom: 0in">for intensive plant processing.</P></p>
<p><P STYLE="margin-bottom: 0in">   We have built a case that a BE<br />
theoretical approach has yielded meaningful insight into</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic foraging adaptations, and<br />
that DBM and PCM simulations better account for</P><br />
<P STYLE="margin-bottom: 0in">the Prearchaic archaeological record<br />
than the ZSM alone. However, our theoretical</P><br />
<P STYLE="margin-bottom: 0in">expectations must be borne out by<br />
further archaeological investigations. In large part, the</P><br />
<P STYLE="margin-bottom: 0in">objectives of future research have<br />
already been laid out, and involve continued search for</P><br />
<P STYLE="margin-bottom: 0in">buried PHT deposits, and extraction of<br />
subsistence and chronological data from surface</P><br />
<P STYLE="margin-bottom: 0in">assemblages (Beck and Jones 1997). Our<br />
BE approach adds testable expectations to this</P><br />
<P STYLE="margin-bottom: 0in">research strategy. Our simulations<br />
suggest that the known Prearchaic record is biased</P></p>
<p><P STYLE="margin-bottom: 0in">toward sites positioned primarily to<br />
access women’s resources, but bearing a technology</P><br />
<P STYLE="margin-bottom: 0in">re ecting men’s subsistence and<br />
mobility strategies. If we are correct, evidence of men’s</P><br />
<P STYLE="margin-bottom: 0in">high-variance foraging behavior lies<br />
buried in valley piedmonts and passes, away from the</P><br />
<P STYLE="margin-bottom: 0in">wetland settings where the most<br />
extensive Prearchaic sites are usually found. Effective</P><br />
<P STYLE="margin-bottom: 0in">search for such evidence must combine<br />
geo-archaeological identi cation of sediment</P><br />
<P STYLE="margin-bottom: 0in">exposures of suitable age, with<br />
theoretical simulations of EH large game habitat and</P><br />
<P STYLE="margin-bottom: 0in">Prearchaic hunting behavior.</P><br />
<P STYLE="margin-bottom: 0in">Acknowledgements</P><br />
<P STYLE="margin-bottom: 0in">We thank Eric Ingbar, Ariane Pinson,<br />
Steve Simms, our two anonymous reviewers for</P></p>
<p><P STYLE="margin-bottom: 0in">their comments and suggestions and,<br />
especially, Ariane Pinson for permission to use the</P><br />
<P STYLE="margin-bottom: 0in">122    Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">graph in Fig. 2, and Gene Hattori and<br />
Nevada State Museum for permission to use the</P><br />
<P STYLE="margin-bottom: 0in">tool illustrations in Fig. 5.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                  Silver City, Nevada</P><br />
<P STYLE="margin-bottom: 0in">Notes</P><br />
<P STYLE="margin-bottom: 0in">1 A correlation between body size and<br />
resource ranking seems well supported ethno-</P><br />
<P STYLE="margin-bottom: 0in">  graphically (O’Connell and Hawkes<br />
1981; Winterhalder 1981; Hawkes et al. 1982), and</P></p>
<p><P STYLE="margin-bottom: 0in">  often serves to rank prey items<br />
relatively (Broughton 1994). However, this assumption</P><br />
<P STYLE="margin-bottom: 0in">  is violated when smaller resources<br />
occur in unusual abundance, returning exceptionally</P><br />
<P STYLE="margin-bottom: 0in">  high caloric yields. For example,<br />
grasshoppers obtained from windrows along margins</P><br />
<P STYLE="margin-bottom: 0in">  of lakes provide higher caloric<br />
return rates than large-game hunting (Madsen and</P><br />
<P STYLE="margin-bottom: 0in">  Kirkman 1988). Brine y larvae,<br />
bulrush and pickleweed seed and sh are also known</P><br />
<P STYLE="margin-bottom: 0in">  to occur occasionally in windrows and<br />
can be expected to return similarly fantastically</P></p>
<p><P STYLE="margin-bottom: 0in">  high caloric return rates (Raven and<br />
Elston 1988; Bettinger 1993; Barlow and Metcalfe</P><br />
<P STYLE="margin-bottom: 0in">  1996; Madsen and Schmitt 1998).<br />
Similarly, mass capture technologies and communal</P><br />
<P STYLE="margin-bottom: 0in">  hunting tactics can provide higher<br />
caloric returns for hunting small and medium-sized</P><br />
<P STYLE="margin-bottom: 0in">  mammals than encounter hunting of<br />
large mammals (Simms 1987). Therefore, the</P><br />
<P STYLE="margin-bottom: 0in">  ranking of any particular prey item<br />
varies depending on mode of procurement.</P><br />
<P STYLE="margin-bottom: 0in">2 Like the DBM assumption that prey<br />
size correlated with resource ranking, this assump-</P></p>
<p><P STYLE="margin-bottom: 0in">  tion seems ethnographically justi ed<br />
(Hawkes 1990, 1991) and is likely to be generally</P><br />
<P STYLE="margin-bottom: 0in">  true. However, mode of procurement<br />
may allow smaller resources to be harvested,</P><br />
<P STYLE="margin-bottom: 0in">  unpredictably, at fantastically high<br />
return rates. In addition, many small and medium-</P><br />
<P STYLE="margin-bottom: 0in">  sized animals are prone to periodic,<br />
catastrophic population declines induced by</P><br />
<P STYLE="margin-bottom: 0in">  climatic change, disease and<br />
overcrowding (e.g. Zeanah 1996; Kelly 2001). Therefore,</P><br />
<P STYLE="margin-bottom: 0in">  in many short-term circumstances, the<br />
return garnered from smaller game may actually</P></p>
<p><P STYLE="margin-bottom: 0in">  be more variable than the returns<br />
from large game.</P><br />
<P STYLE="margin-bottom: 0in">3 Pinson (1999) characterizes possible<br />
risk strategies as risk-sensitive or risk-indifferent.</P><br />
<P STYLE="margin-bottom: 0in">  However, risk-sensitive foragers can<br />
be either risk-prone (variance-maximizing big-</P><br />
<P STYLE="margin-bottom: 0in">  game hunters) or risk-averse<br />
(variance-minimizing small-game gatherers) depending</P><br />
<P STYLE="margin-bottom: 0in">  on circumstances. Because the outcome<br />
of risk-indifferent foraging is the same</P><br />
<P STYLE="margin-bottom: 0in">  (variance-maximizing) as risk-prone<br />
foraging, we refer to the dyad ‘risk-prone–risk-</P></p>
<p><P STYLE="margin-bottom: 0in">  averse’ for the sake of simplicity.</P><br />
<P STYLE="margin-bottom: 0in">4 Pinson’s (1999) analysis does not<br />
consider other factors that might contribute to low</P><br />
<P STYLE="margin-bottom: 0in">  artiodactyl index values, such as<br />
processing tactics to minimize transport costs when kill</P><br />
<P STYLE="margin-bottom: 0in">  sites and residential bases were in<br />
different locations (e.g. Metcalfe and Barlow 1992;</P><br />
<P STYLE="margin-bottom: 0in">  O’Connell et al. 1990).</P><br />
<P STYLE="margin-bottom: 0in">5 This may appear to contradict our<br />
initial assessment of ethnographic analogies as</P><br />
<P STYLE="margin-bottom: 0in">  incapable of providing insight into<br />
Prearchaic adaptations. However, our conviction</P></p>
<p><P STYLE="margin-bottom: 0in">  that sexual division of labor was<br />
likely a critical aspect of Prearchaic foraging strategies</P><br />
<P STYLE="margin-bottom: 0in">  is based on homologous rather than<br />
analogous reasoning, and is theoretically justi ed</P><br />
<P STYLE="margin-bottom: 0in">  from a BE perspective. Sexual<br />
division of subsistence labor is nearly universal among</P><br />
<P STYLE="margin-bottom: 0in">  ethnographic hunter-gatherers, and<br />
most anthropologists perceive sexual division of</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                        123</P><br />
<P STYLE="margin-bottom: 0in"><br />
                          Thinking outside the box</P></p>
<p><P STYLE="margin-bottom: 0in">   labor as fundamental to<br />
hunter-gatherer subsistence organization (Ember 1975; Hiatt</P><br />
<P STYLE="margin-bottom: 0in">   1978). In addition, current<br />
evolutionary models see sexual division of labor as a signi -</P><br />
<P STYLE="margin-bottom: 0in">   cant trend in hominid evolution<br />
selected by con icting responses of males and females</P><br />
<P STYLE="margin-bottom: 0in">   to the risks of successful<br />
reproduction (Bird 1999; Hawkes 1996). Ethnographers</P><br />
<P STYLE="margin-bottom: 0in">   observed a division of subsistence<br />
labor by gender among Great Basin foragers (Kelly</P><br />
<P STYLE="margin-bottom: 0in">   1932: 79; Steward 1938: 44, 1941:<br />
312–13; Stewart 1941: 406). Moreover, a growing body</P></p>
<p><P STYLE="margin-bottom: 0in">   of bioarchaeological evidence builds<br />
a compelling case for sexual division of labor</P><br />
<P STYLE="margin-bottom: 0in">   among Archaic hunter-gatherers in<br />
the Great Basin (Hemphill 1999: 285; Larsen and</P><br />
<P STYLE="margin-bottom: 0in">   Hutchinson 1999; Rhode et al. 2000:<br />
55–6). We are, therefore, con dent that sexual</P><br />
<P STYLE="margin-bottom: 0in">   division of labor was practiced by<br />
Prearchaic foragers; models of Prearchaic adaptation</P><br />
<P STYLE="margin-bottom: 0in">   that ignore this factor cannot be<br />
complete.</P><br />
<P STYLE="margin-bottom: 0in"> 6 Critics point out that this nding<br />
hinges on the use of foraging experiments to replicate</P></p>
<p><P STYLE="margin-bottom: 0in">   prehistoric resource return rates<br />
(Bettinger 1994), and are skeptical that modern</P><br />
<P STYLE="margin-bottom: 0in">   scholars can reproduce the expertise<br />
of prehistoric foragers or judge circumstances</P><br />
<P STYLE="margin-bottom: 0in">   under which they chose to take<br />
resources. However, many estimates have been repli-</P><br />
<P STYLE="margin-bottom: 0in">   cated by independent experiments<br />
(Larralde and Chandler 1981; Simms 1987; Jones</P><br />
<P STYLE="margin-bottom: 0in">   and Madsen 1991; Bullock 1994;<br />
Barlow and Metcalfe 1996) and are comparable to</P><br />
<P STYLE="margin-bottom: 0in">   return rates procured by<br />
ethnographic hunter-gatherers who take similar arrays of food</P></p>
<p><P STYLE="margin-bottom: 0in">   (O’Connell and Hawkes 1981; Cane<br />
1987). More important, the experimental replica-</P><br />
<P STYLE="margin-bottom: 0in">   tions would have to be wrong by<br />
several orders of magnitude to change DBM predic-</P><br />
<P STYLE="margin-bottom: 0in">   tions (Simms 1987: 49, 53).</P><br />
<P STYLE="margin-bottom: 0in">7 Obviously, food storage also incurs<br />
risk in that caches may be lost to spoilage and theft.</P><br />
<P STYLE="margin-bottom: 0in">   However, we agree with many previous<br />
biological and anthropological models that</P><br />
<P STYLE="margin-bottom: 0in">   consider food storage to be a<br />
strategy for minimizing variability in foraging returns</P></p>
<p><P STYLE="margin-bottom: 0in">   (Testart 1982; Vander Wall 1990;<br />
Winterhalder 1990; Winterhalder et al. 1999).</P><br />
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<P STYLE="margin-bottom: 0in">of the Carson Desert, Western Nevada.<br />
Geological Society of America, Field Guide, 2: 45–74.</P><br />
<P STYLE="margin-bottom: 0in">Rusco, M. K. and Davis, J. O. 1987.<br />
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<p><P STYLE="margin-bottom: 0in">Reservoir, Pershing County, Nevada.<br />
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<P STYLE="margin-bottom: 0in">Papers, 20.</P><br />
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<P STYLE="margin-bottom: 0in">Willey, G. R. and Phillips, P. 1958.<br />
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<P STYLE="margin-bottom: 0in">agricultural and foraging societies. In<br />
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<P STYLE="margin-bottom: 0in">Cashdan). Boulder, CO: Westview Press,<br />
pp. 67–87.</P><br />
<P STYLE="margin-bottom: 0in">130   Robert G. Elston and David W.<br />
Zeanah</P><br />
<P STYLE="margin-bottom: 0in">Winterhalder, B., Baillegon, W.,<br />
Cappelletto, F., Daniel, Jr., I. and Prescott, C. 1988. The<br />
population</P></p>
<p><P STYLE="margin-bottom: 0in">ecology of hunter-gatherers and their<br />
prey. Journal of Anthropological Archaeology, 7: 289–328.</P><br />
<P STYLE="margin-bottom: 0in">Winterhalder, B. P., Lu, F. and Tucker,<br />
B. 1999. Risk-sensitive adaptive tactics: models and evidence</P><br />
<P STYLE="margin-bottom: 0in">from subsistence studies in biology and<br />
anthropology. Journal of Archaeological Research, 7(4):</P><br />
<P STYLE="margin-bottom: 0in">301–48.</P><br />
<P STYLE="margin-bottom: 0in">Zancanella, J. K. 1988. Early lowland<br />
Prehistory in south-central Nevada. In Far Western North</P><br />
<P STYLE="margin-bottom: 0in">America: The Clovis-Archaic Interface<br />
(eds J. A. Willig, C. M. Aikins and J. L. Fagan). Carson City,</P><br />
<P STYLE="margin-bottom: 0in">NV: Nevada State Museum Anthropological<br />
Papers, 21, pp. 251–71.</P><br />
<P STYLE="margin-bottom: 0in">Zeanah, D. W. 1996. Predicting<br />
settlement patterns and mobility strategies: an optimal foraging</P><br />
<P STYLE="margin-bottom: 0in">analysis of hunter-gather use of<br />
mountain, desert, and wetland habitats in the Carson Desert.</P></p>
<p><P STYLE="margin-bottom: 0in">Doctoral dissertation, The University<br />
of Utah.</P><br />
<P STYLE="margin-bottom: 0in">Zeanah, D. W. n.d. Sexual division of<br />
labor and central place foraging strategies: a model for the</P><br />
<P STYLE="margin-bottom: 0in">Carson Desert of Western Nevada.<br />
Manuscript in possession of author.</P><br />
<P STYLE="margin-bottom: 0in">Zeanah, D. W., Carter, J. A., Carter,<br />
D. P., Elston, R. G. and Hammett, J. E. 1995. An Optimal</P><br />
<P STYLE="margin-bottom: 0in">Foraging Model of Hunter-Gatherer Land<br />
Use in the Carson Desert. Silver City, NV: Intermountain</P><br />
<P STYLE="margin-bottom: 0in">Research.</P><br />
<P STYLE="margin-bottom: 0in">Zeanah, D. W., Ingbar, E. E., Elston,<br />
R. G. and Zeier, C. D. 1999. Archaeological Predictive Model,</P><br />
<P STYLE="margin-bottom: 0in">Management Plan, and Treatment Plans<br />
for Northern Railroad Valley, Nevada. Silver City, NV:</P><br />
<P STYLE="margin-bottom: 0in">Intermountain Research.</P></p>
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<P STYLE="margin-bottom: 0in">10-1</P><br />
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</P><br />
<P STYLE="margin-bottom: 0in">From Tanaka, Jiro (1980) The San<br />
Hunter-Gatherers of the Kalahari: A Study in</P><br />
<P STYLE="margin-bottom: 0in">Ecological Anthropology. Tokyo:<br />
University of Tokyo Press</P><br />
<P STYLE="margin-bottom: 0in">Bottom of page 30 through bottom of<br />
page 35</P><br />
<P STYLE="margin-bottom: 0in">Hunting</P><br />
<P STYLE="margin-bottom: 0in">Representative hunting methods of the<br />
≠Kade San include shooting large game with bow</P><br />
<P STYLE="margin-bottom: 0in">and arrow, catching small antelopes in<br />
a snare, and hunting the springhare with a hooked</P></p>
<p><P STYLE="margin-bottom: 0in">pole. If he owns a dog, the San may<br />
hunt with a spear with the help of the dog; in the case</P><br />
<P STYLE="margin-bottom: 0in">of small birds or animals, he may beat<br />
them to death with a club or bring them down with a</P><br />
<P STYLE="margin-bottom: 0in">throw of a handy stick. Such beasts of<br />
prey as lion, leopard, cheetah, and lycaon are &quot;used&quot;</P><br />
<P STYLE="margin-bottom: 0in">in obtaining animal meat: when the<br />
people observe a great number of vultures wheeling, they</P><br />
<P STYLE="margin-bottom: 0in">dash to the point and usurp the prey.</P><br />
<P STYLE="margin-bottom: 0in">Bow-and-arrow hunting is surprisingly<br />
difficult and requires tremendous exertion. It is</P><br />
<P STYLE="margin-bottom: 0in">used mainly on large antelopes, but<br />
also on giraffes, ostriches, duikers, steenboks, and other</P><br />
<P STYLE="margin-bottom: 0in">animals. Whenever a man goes out, he<br />
slings over his shoulder a leather bag holding his</P></p>
<p><P STYLE="margin-bottom: 0in">bow, arrows, and spear, and as long as<br />
he is not out of poisoned arrows he is always ready</P><br />
<P STYLE="margin-bottom: 0in">to shoot whenever a target appears.<br />
Sometimes, after making the rounds of their snares, the</P><br />
<P STYLE="margin-bottom: 0in">hunters will loiter around a spot where<br />
gemsbok, eland, and other animals are known to</P><br />
<P STYLE="margin-bottom: 0in">flock, meanwhile sticking their hooked<br />
poles into holes in the ground in search of</P><br />
<P STYLE="margin-bottom: 0in">springhare. People sometimes walk 20 km<br />
a day over the practically shadeless bushveld.</P><br />
<P STYLE="margin-bottom: 0in">And yet most days they return to camp<br />
emptyhanded. If by chance the hunter runs across a</P><br />
<P STYLE="margin-bottom: 0in">herd, or even just one animal grazing,<br />
he approaches from downwind so as not to be</P><br />
<P STYLE="margin-bottom: 0in">perceived by the animal.</P><br />
<P STYLE="margin-bottom: 0in">The Kalahari has few trees, and grass<br />
and shrubs a meter or so in height grow only in</P></p>
<p><P STYLE="margin-bottom: 0in">scattered spots; this lack of cover<br />
makes it extremely difficult to sneak up on game. Because</P><br />
<P STYLE="margin-bottom: 0in">the San&#8217;s bow (Figure 13) is a small,<br />
crude device, he must approach to within about 20 m</P><br />
<P STYLE="margin-bottom: 0in">of his intended prey. If he manages to<br />
get within range and hit the animal with a poisoned</P><br />
<P STYLE="margin-bottom: 0in">arrow, and ascertains that the poisoned<br />
point has firmly penetrated its body, he must then</P><br />
<P STYLE="margin-bottom: 0in">observe the direction of the animal&#8217;s<br />
flight and memorize its hoofprints. Shocked by its</P><br />
<P STYLE="margin-bottom: 0in">wound and the effects of the poison,<br />
the animal will flee for its life, and the San must track</P><br />
<P STYLE="margin-bottom: 0in">it. Since game seldom approaches the<br />
campsite, hunting is usually done some 10 or 15 km</P><br />
<P STYLE="margin-bottom: 0in">away. The hunter who has scored a hit<br />
returns temporarily to camp. Until he confirms the</P><br />
<P STYLE="margin-bottom: 0in">death of the animal, he can take no<br />
food or drink other than water, for the San believe that if</P></p>
<p><P STYLE="margin-bottom: 0in">the archer eats food the wounded animal<br />
will regain its health and escape. That night the</P><br />
<P STYLE="margin-bottom: 0in">hunter sleeps in the camp, but the next<br />
morning before dawn he departs, accompanied by</P><br />
<P STYLE="margin-bottom: 0in">several hardy young men, and the<br />
tracking begins. Although pained by the poison, the</P><br />
<P STYLE="margin-bottom: 0in">animal gives all its strength and flees<br />
practically in a straight line. Finally, weakening, it</P><br />
<P STYLE="margin-bottom: 0in">begins to seek shade and rest under<br />
some of the few trees to be found. As the distance</P><br />
<P STYLE="margin-bottom: 0in">between their prey&#8217;s rest stops<br />
shrinks, they know it is not far off. Soon they will find</P><br />
<P STYLE="margin-bottom: 0in">imprints of its body, as it can no<br />
longer rest on its feet but must lie down. Now, even if it</P><br />
<P STYLE="margin-bottom: 0in">should muster all its dying strength<br />
for a last run, it cannot go far. At last the hunting party</P><br />
<P STYLE="margin-bottom: 0in">will come upon the animal lying under a<br />
tree; if it is still breathing, they will approach with</P></p>
<p><P STYLE="margin-bottom: 0in">their spears (Figure 14) and, striking<br />
for the heart, administer the quietus.</P><br />
<P STYLE="margin-bottom: 0in">Since dark is by now fast approaching,<br />
the hunters hurriedly skin the animal and sever the</P><br />
<P STYLE="margin-bottom: 0in">head and limbs. The body is also<br />
chopped up into a load for each man. The horns are</P><br />
<P STYLE="margin-bottom: 0in">usually thrown away, but may be brought<br />
back to be used as an axe handle or the like. As</P><br />
<P STYLE="margin-bottom: 0in">for the rest, almost nothing is left<br />
behind except sometimes the contents of the stomach and</P><br />
<P STYLE="margin-bottom: 0in">intestines. If the hide is thick and<br />
untannable, like that of alarge male antelope or a giraffe, it</P><br />
<P STYLE="margin-bottom: 0in">is sectioned and used as food; thinner<br />
skin is stripped off carefully so as not to tear it, and</P><br />
<P STYLE="margin-bottom: 0in">made into clothing or a carrying skin.<br />
The contents of the stomach are full of stomach acid</P><br />
<P STYLE="margin-bottom: 0in">and are sour and bitter, but in times<br />
of drought they are a source of precious drinking water.</P></p>
<p><P STYLE="margin-bottom: 0in">The blood is poured into the stomach<br />
sac and hardened in the heat, making it easier to carry.</P><br />
<P STYLE="margin-bottom: 0in">The fat sticking to the membrane<br />
surrounding and supporting the intestines is mixed with</P><br />
<P STYLE="margin-bottom: 0in">blood and then stuffed into the<br />
duodenum and small intestine; the latter are then heated to</P><br />
<P STYLE="margin-bottom: 0in">make sausage. The liver, heart, and<br />
kidneys, which spoil easily, are cooked and eaten on the</P><br />
<P STYLE="margin-bottom: 0in">spot; the meat on the ribs is also<br />
roasted and eaten for dinner that night. Since the San</P><br />
<P STYLE="margin-bottom: 0in">especially relish the liver and heart,<br />
these are the first to be cooked and eaten. The heart in</P><br />
<P STYLE="margin-bottom: 0in">particular is taboo for women; since<br />
the San believe that if a woman should eat the heart the</P><br />
<P STYLE="margin-bottom: 0in">men&#8217;s hunting would be unsuccessful, it<br />
is almost never brought back to camp.</P><br />
<P STYLE="margin-bottom: 0in">The men, having finally come upon some<br />
meat after a long food drought, usually spend the</P></p>
<p><P STYLE="margin-bottom: 0in">night gorging at the scene of the kill;<br />
then the next morning each man shoulders his load of</P><br />
<P STYLE="margin-bottom: 0in">meat and they return to camp. If the<br />
animal weighed 200 kg, assuming they actually carry</P><br />
<P STYLE="margin-bottom: 0in">back 150 kg of that, a party of five<br />
men would each have to carry 30 kg; the camp might be</P><br />
<P STYLE="margin-bottom: 0in">from 15 to 30 km away. Transporting<br />
such a load across the burning Kalahari is no joke. In</P><br />
<P STYLE="margin-bottom: 0in">the case of a giraffe weighing over a<br />
ton, the tracking may take three or four days, making</P><br />
<P STYLE="margin-bottom: 0in">the trip home that much longer, not to<br />
mention the additional amount of meat to be carried.</P><br />
<P STYLE="margin-bottom: 0in">In such cases the hunters will discard<br />
the bones, then cut the meat into strips and dry it,</P><br />
<P STYLE="margin-bottom: 0in">which reduces the carrying weight<br />
considerably. Drying also serves to prevent spoilage.</P><br />
<P STYLE="margin-bottom: 0in">It usually takes three to four days,<br />
all told, to bring in a large antelope. Even with all this</P></p>
<p><P STYLE="margin-bottom: 0in">effort, there are times when the poison<br />
works poorly and the prey escapes, or when a lion,</P><br />
<P STYLE="margin-bottom: 0in">leopard, or other carnivore gets to the<br />
dying animal first. Bow and arrow hunting not only</P><br />
<P STYLE="margin-bottom: 0in">requires much exertion, it is also<br />
seldom rewarded. Nevertheless, the hunters put all their</P><br />
<P STYLE="margin-bottom: 0in">heart into it, encouraged by the<br />
prospect of getting so much meat at one time.</P><br />
<P STYLE="margin-bottom: 0in">One night, !Kawamakue ate nothing when<br />
he came back to camp. I knew at once that he had</P><br />
<P STYLE="margin-bottom: 0in">shot some game and asked him if he had,<br />
but his answer was, &quot;I couldn&#8217;t find /o [gemsbok]</P><br />
<P STYLE="margin-bottom: 0in">since there is no water around G/au/u<br />
Pan.&quot; It was late at night when I was ready to go to</P></p>
<p><P STYLE="margin-bottom: 0in">bed that I heard the news that he had<br />
shot a gemsbok with a poisoned arrow.</P><br />
<P STYLE="margin-bottom: 0in">Next morning at dawn, I joined the men<br />
to follow the game. But it</P><br />
<P STYLE="margin-bottom: 0in">was a trip of 50 km there and back, so<br />
they would not take me with them on foot. I started</P><br />
<P STYLE="margin-bottom: 0in">the engine of my truck, loading the<br />
three young men of the camp, !Kawamakue, !Tebechu,</P><br />
<P STYLE="margin-bottom: 0in">!Kana, and two twelve-year-old boys,<br />
Daon//an and Daogu, on its bed, and made for the</P><br />
<P STYLE="margin-bottom: 0in">spot where !Kawamakue shot the game. It<br />
was a place a little way off from G/au/u Pan,</P><br />
<P STYLE="margin-bottom: 0in">covered with endless bush. There was a<br />
faint rut to G/au/u and I could drive straight there.</P><br />
<P STYLE="margin-bottom: 0in">Beyond that, I would simply have to<br />
drive in the direction !Kawamakue pointed. As there</P><br />
<P STYLE="margin-bottom: 0in">were occasional trees that the truck<br />
might run into, I drove slowly, at about 15 km/h.</P></p>
<p><P STYLE="margin-bottom: 0in">Because the land is covered with<br />
grasses, I could not see the contours of the land. If the</P><br />
<P STYLE="margin-bottom: 0in">truck should break down here, I would<br />
have no other recourse but to walk back to the</P><br />
<P STYLE="margin-bottom: 0in">nearest village, 150 km away. It is, of<br />
course, a possibility to reckon with in this sort of</P><br />
<P STYLE="margin-bottom: 0in">fieldwork. The radiator grille was soon<br />
covered with grass seeds and flowers, and we hadn&#8217;t</P><br />
<P STYLE="margin-bottom: 0in">gone five minutes before the water<br />
began to boil and the radiator started making sounds of</P><br />
<P STYLE="margin-bottom: 0in">protest. Knowing I was overstraining<br />
it, I still proceeded, but couldn&#8217;t go on more than 7 or</P><br />
<P STYLE="margin-bottom: 0in">8 km. When I shut off the engine, half<br />
the water had boiled over, and the remainder did not</P><br />
<P STYLE="margin-bottom: 0in">stop boiling for five minutes. Removing<br />
the grass from the front part of the radiator and</P><br />
<P STYLE="margin-bottom: 0in">pouring in some more water, I again<br />
proceeded, but not for more than 7 or 8 km. But it&#8217;s</P></p>
<p><P STYLE="margin-bottom: 0in">still faster than walking. Indeed, the<br />
Kalahari is no place for automobiles—it&#8217;s a place for</P><br />
<P STYLE="margin-bottom: 0in">the San and the animals to walk about<br />
freely.</P><br />
<P STYLE="margin-bottom: 0in">When we arrived at the spot where<br />
!Kawamakue shot the game yesterday, he told us all</P><br />
<P STYLE="margin-bottom: 0in">about his activity and pointed out the<br />
hoofprints of the poisoned animal. From there the</P><br />
<P STYLE="margin-bottom: 0in">three men began to follow the prints on<br />
foot. The game had run straight in the direction</P><br />
<P STYLE="margin-bottom: 0in">opposite to the campsite. We also<br />
started following the track. The animal must have been</P><br />
<P STYLE="margin-bottom: 0in">suffering as the poison passed into its<br />
system. We could find signs where it had rested here</P><br />
<P STYLE="margin-bottom: 0in">and there under the trees. As we<br />
proceeded, the distance between resting places became</P><br />
<P STYLE="margin-bottom: 0in">shorter and we knew that the animal was<br />
close at hand. At about 11 o&#8217;clock we finally found</P></p>
<p><P STYLE="margin-bottom: 0in">the animal. Seeing us, the gemsbok<br />
tried with all its strength to run away. But, being</P><br />
<P STYLE="margin-bottom: 0in">poisoned, it could not go far. After<br />
200 m it lay down under a tree, breathing hard. The</P><br />
<P STYLE="margin-bottom: 0in">arrow which !Kawamakue had shot<br />
yesterday was hanging broken at the joint of its foreleg.</P><br />
<P STYLE="margin-bottom: 0in">The two beautiful horns leaned forward<br />
heavily. It seemed just on the verge of dying. But a</P><br />
<P STYLE="margin-bottom: 0in">careless approach was still dangerous,<br />
since the poisoned animal might, out of pain, attack</P><br />
<P STYLE="margin-bottom: 0in">with all its remaining strength.<br />
!Kawamakue put an arrow to the bow about 10 m from the</P><br />
<P STYLE="margin-bottom: 0in">animal to add more poison. !Kana also<br />
shot another arrow. They threw sticks at the</P><br />
<P STYLE="margin-bottom: 0in">gemsbok, but it no longer had the<br />
strength to lift its head. Approaching from behind, a man</P><br />
<P STYLE="margin-bottom: 0in">thrust a spear at its heart. The<br />
gemsbok, though standing on its legs for a time, at last</P></p>
<p><P STYLE="margin-bottom: 0in">collapsed to the ground, its body<br />
convulsing, and took its last breath. The hunters at once</P><br />
<P STYLE="margin-bottom: 0in">began to cut it to pieces. It was<br />
marvelous to see them cut it open in a straight line from</P><br />
<P STYLE="margin-bottom: 0in">chest to belly and skillfully disjoint<br />
the body. The skin of the male gemsbok is too thick for</P><br />
<P STYLE="margin-bottom: 0in">any use, so after chopping up the flesh<br />
they roasted and ate it all. In an instant, they took out</P><br />
<P STYLE="margin-bottom: 0in">the internal organs and cut off the<br />
limbs. The mushy content in the stomach is an important</P><br />
<P STYLE="margin-bottom: 0in">water supply when there is no water, so<br />
they squeeze it and get water from it. Almost no part</P><br />
<P STYLE="margin-bottom: 0in">is discarded. The bones, of course, are<br />
smashed and the marrow eaten. They stuffed</P><br />
<P STYLE="margin-bottom: 0in">themselves with the roasted liver, part<br />
of the intestines, and the breast. Resting a while, we</P><br />
<P STYLE="margin-bottom: 0in">started for home. The old people,<br />
women, and children must be waiting for us.</P></p>
<p><P STYLE="margin-bottom: 0in">Compared with the difficulty of hunting<br />
with bow and arrow, hunting for springhare and</P><br />
<P STYLE="margin-bottom: 0in">small antelope is relatively easy. The<br />
springhare looks for food at night and spends the day</P><br />
<P STYLE="margin-bottom: 0in">resting in its underground burrow, so a<br />
barbed pole about 4 m long can be used to hook</P><br />
<P STYLE="margin-bottom: 0in">him. He cannot simply be pulled out,<br />
however; the hunter fastens the pole down at the</P><br />
<P STYLE="margin-bottom: 0in">entrance to the burrow and, after<br />
estimating the location of the springhare, digs straight</P><br />
<P STYLE="margin-bottom: 0in">down a meter or so and grabs it.</P><br />
<P STYLE="margin-bottom: 0in">Small antelopes like the duiker and<br />
steenbok usually travel singly or in pairs, tending to</P><br />
<P STYLE="margin-bottom: 0in">follow predictable routes at certain<br />
times. They can be taken by a snare strung across their</P><br />
<P STYLE="margin-bottom: 0in">route (Figure 15). The men have five or<br />
six snares set at any one time and make an</P></p>
<p><P STYLE="margin-bottom: 0in">inspection tour every day. If it rains,<br />
the rope used in the snare becomes useless and must</P><br />
<P STYLE="margin-bottom: 0in">be replaced.</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR></p>
<p></P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in">10-2</P><br />
<P STYLE="margin-bottom: 0in">Missing</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P></p>
<p><P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in">11-1</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in">58 Evolutionary Anthropology</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>ARTICLES</P><br />
<P STYLE="margin-bottom: 0in">Showing Off, Handicap Signaling, and<br />
the</P><br />
<P STYLE="margin-bottom: 0in">Evolution of Men’s Work</P><br />
<P STYLE="margin-bottom: 0in">KRISTEN HAWKES AND REBECCA BLIEGE BIRD</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               thropological puzzles,<br />
including seem-</P><br />
<P STYLE="margin-bottom: 0in">   Zahavi’s1,2 handicap principle<br />
makes “waste” a common outcome of signal</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               ingly maladaptive<br />
cultural practices,</P></p>
<p><P STYLE="margin-bottom: 0in">selection because the cost of a signal<br />
guarantees its honesty. The capacity to</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               monumental<br />
architecture, relatively in-</P><br />
<P STYLE="margin-bottom: 0in">bear the cost reveals the show-off’s<br />
hidden qualities. While displays take many</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               efﬁcient foraging<br />
behaviors, and gener-</P><br />
<P STYLE="margin-bottom: 0in">forms, some also provide ﬁtness-related<br />
beneﬁts to the audience in addition to</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               osity.8 –13 Bliege<br />
Bird14 –16 has shown</P><br />
<P STYLE="margin-bottom: 0in">information about the show-off. Zahavi3<br />
has used the handicap principle to</P></p>
<p><P STYLE="margin-bottom: 0in">explain both merely wasteful displays<br />
and altruistic behavior. Here we focus on        that attention to<br />
the signaling content</P><br />
<P STYLE="margin-bottom: 0in">the distinction between these two kinds<br />
of display and the importance of               of foraging strategies<br />
can help explain</P><br />
<P STYLE="margin-bottom: 0in">beneﬁts other than information in<br />
show-off explanations of a particular puzzle         differences<br />
between the efforts that</P><br />
<P STYLE="margin-bottom: 0in">in human evolution: men’s work. Males<br />
of other primate species do not con-             men and women devote<br />
to them.</P><br />
<P STYLE="margin-bottom: 0in">tribute any signiﬁcant fraction of<br />
the food consumed by females and juveniles.         Among the Meriam<br />
Islanders of the</P><br />
<P STYLE="margin-bottom: 0in">Our own species is different. When<br />
people live on wild foods, hunting is usually       Torres Strait,<br />
turtle hunters supply</P><br />
<P STYLE="margin-bottom: 0in">a specialty of men, and meat is<br />
commonly a substantial component of every-             meat that is<br />
widely shared at feasts,</P><br />
<P STYLE="margin-bottom: 0in">one’s diet. Here we explore the<br />
hypothesis that this unique male subsistence           while<br />
spearﬁshers target prey that are</P><br />
<P STYLE="margin-bottom: 0in">contribution may have evolved as<br />
hunting large animals became a focus of               too small to be<br />
widely shared but are</P></p>
<p><P STYLE="margin-bottom: 0in">competitive display.<br />
                                               especially difﬁcult<br />
to capture. Signal</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               content can help<br />
explain why men</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               forego sardine ﬁshing<br />
or shell-ﬁsh col-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               lecting which could<br />
earn them a higher</P><br />
<P STYLE="margin-bottom: 0in"><br />
      production of the display and the</P><br />
<P STYLE="margin-bottom: 0in">   Displays are a form of communica-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                               rate of nutrient<br />
acquisition than the ac-</P><br />
<P STYLE="margin-bottom: 0in">tion, providing information about an<br />
      quality being advertised. Honesty is</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               tivities they do<br />
choose.</P><br />
<P STYLE="margin-bottom: 0in">individual, often in a widely observ-<br />
      ensured when individuals of higher</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                  Costly signals are<br />
enormously vari-</P><br />
<P STYLE="margin-bottom: 0in">able forum. In order for a display to<br />
      quality can pay highest costs to pro-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               able. One important<br />
dimension of</P></p>
<p><P STYLE="margin-bottom: 0in">be worth performing, there must be<br />
      duce a more elaborate display or</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               variation is between<br />
signals that pro-</P><br />
<P STYLE="margin-bottom: 0in">an audience. In order for observers to<br />
      when individuals gain higher beneﬁts</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               vide little but<br />
information and those</P><br />
<P STYLE="margin-bottom: 0in">bother paying attention, it must ben-<br />
      for producing a display of given cost.7</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               that provide beneﬁts<br />
to the audience</P><br />
<P STYLE="margin-bottom: 0in">eﬁt them to do so. According to<br />
costly        The differential costs or beneﬁts of</P></p>
<p><P STYLE="margin-bottom: 0in">signaling theory,1,2,4 – 6 the<br />
observer                                                in addition<br />
to information. For exam-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      signal production make it highly un-</P><br />
<P STYLE="margin-bottom: 0in">beneﬁt for paying attention is the<br />
in-                                                 ple, when a<br />
display consists of provid-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      likely that lower-quality individuals</P><br />
<P STYLE="margin-bottom: 0in">formation about an otherwise hidden<br />
                                               ing feasts, others<br />
gain from participat-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      will be able to fake the signal: they</P><br />
<P STYLE="margin-bottom: 0in">quality that is conveyed by the dis-<br />
                                               ing in the feast. By<br />
signaling in this</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
      cannot afford to. The honesty of the</P><br />
<P STYLE="margin-bottom: 0in">play. The information is kept honest<br />
                                               way, the show-off<br />
provides something</P><br />
<P STYLE="margin-bottom: 0in"><br />
      information provided in a display</P><br />
<P STYLE="margin-bottom: 0in">through intrinsic links between the<br />
                                               besides information<br />
about a hidden</P><br />
<P STYLE="margin-bottom: 0in"><br />
      gives an immediate beneﬁt to observ-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               quality to the<br />
audience.</P><br />
<P STYLE="margin-bottom: 0in"><br />
      ers because they can use the informa-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                  Zahavi1,2,3,17,18<br />
has applied his</P><br />
<P STYLE="margin-bottom: 0in"><br />
      tion to adjust their own behavior</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               handicap principle to<br />
both kinds of</P><br />
<P STYLE="margin-bottom: 0in"><br />
      toward the show-off to beneﬁt them-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               display, proposing<br />
that the “altruism”</P><br />
<P STYLE="margin-bottom: 0in"><br />
      selves. Show-offs beneﬁt from the</P></p>
<p><P STYLE="margin-bottom: 0in">   Kristen Hawkes, Professor of<br />
Anthropol-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               of the second kind, in<br />
which the ﬁt-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      treatment that follows. Bluffs about</P><br />
<P STYLE="margin-bottom: 0in">   ogy at the University of Utah, uses<br />
evolu-</P><br />
<P STYLE="margin-bottom: 0in">   tionary ecology to investigate age<br />
and sex</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               ness-related beneﬁts<br />
other than infor-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
      the show-off’s quality would not in-</P><br />
<P STYLE="margin-bottom: 0in">   differences in human foraging<br />
strategies,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               mation are supplied to<br />
audiences, can</P><br />
<P STYLE="margin-bottom: 0in"><br />
      form the audience, so only signals that</P><br />
<P STYLE="margin-bottom: 0in">   with special emphasis on problems in<br />
hu-</P><br />
<P STYLE="margin-bottom: 0in">   man evolution.<br />
                                               be explained by its<br />
contribution to the</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
      are too costly to fake are reliable. Za-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               effectiveness of the<br />
signal. For exam-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      havi’s label, “the handicap principle,”</P><br />
<P STYLE="margin-bottom: 0in">   Rebecca Bliege Bird, Research<br />
Assistant</P><br />
<P STYLE="margin-bottom: 0in">   Professor in the same department,<br />
uses</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               ple, among the<br />
cooperatively breeding</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
      underlines the paradox that it is cost</P><br />
<P STYLE="margin-bottom: 0in">   behavioral ecology to investigate<br />
age and</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               birds he has studied<br />
for decades (Ara-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      to the signaler that makes displays</P><br />
<P STYLE="margin-bottom: 0in">   sex differences in human foraging<br />
strate-</P><br />
<P STYLE="margin-bottom: 0in">   gies, with special emphasis on<br />
explaining                                           bian babblers,<br />
Turdoides squamiceps),</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
      honest enough to be worthy of audi-</P><br />
<P STYLE="margin-bottom: 0in">   ethnographic variation.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               dominants display<br />
their quality by</P><br />
<P STYLE="margin-bottom: 0in"><br />
      ence attention.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               standing sentinel<br />
duty, distracting or</P><br />
<P STYLE="margin-bottom: 0in"><br />
         Costly signaling models are proving</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                               fending off predators,<br />
and presenting</P><br />
<P STYLE="margin-bottom: 0in"><br />
      useful for unraveling an array of an-</P><br />
<P STYLE="margin-bottom: 0in">Evolutionary Anthropology 11:58 – 67<br />
(2002)</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                   Evolutionary<br />
Anthropology 59</P><br />
<P STYLE="margin-bottom: 0in">ARTICLES</P><br />
<P STYLE="margin-bottom: 0in"><br />
men. When hunters target large prey,</P><br />
<P STYLE="margin-bottom: 0in">food to subordinates. Displays that<br />
                                         ity of this sharing strategy<br />
depends on</P></p>
<p><P STYLE="margin-bottom: 0in">supply such beneﬁts are readily noted<br />
                                           the exclusion of<br />
nonreciprocators.</P><br />
<P STYLE="margin-bottom: 0in"><br />
and when others can learn about and</P><br />
<P STYLE="margin-bottom: 0in">by other babblers. Demonstration of<br />
                                         However, no quantitative<br />
studies of</P><br />
<P STYLE="margin-bottom: 0in"><br />
compare their successes, hunting rep-</P><br />
<P STYLE="margin-bottom: 0in">the capacity to bear the cost of these<br />
                                         food sharing have found<br />
consumers</P><br />
<P STYLE="margin-bottom: 0in"><br />
utation becomes a prominent deter-</P><br />
<P STYLE="margin-bottom: 0in">displays substitutes for overt threats,<br />
                                         repaying the hunter by<br />
returning</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
minant of how desirable a neighbor</P><br />
<P STYLE="margin-bottom: 0in">which potentially lead to ﬁghts that<br />
                                           shares of meat to him (see<br />
Box 2).</P><br />
<P STYLE="margin-bottom: 0in"><br />
and ally, and how dangerous a rival, a</P><br />
<P STYLE="margin-bottom: 0in">could be even more costly for the sig-<br />
                                         Without strictly contingent<br />
sharing, in</P><br />
<P STYLE="margin-bottom: 0in"><br />
man might be.24,25</P><br />
<P STYLE="margin-bottom: 0in">naler and at least some of the audi-<br />
                                         which providing meat at one<br />
time is</P><br />
<P STYLE="margin-bottom: 0in"><br />
   One treatment of the show-off hy-</P></p>
<p><P STYLE="margin-bottom: 0in">ence. Using the label “conspicuous<br />
do-                                           the necessary price for<br />
claiming meat</P><br />
<P STYLE="margin-bottom: 0in"><br />
pothesis for men’s work emphasizes</P><br />
<P STYLE="margin-bottom: 0in">nations,” Zahavi underlines, as did<br />
                                           at another, those who<br />
free-ride on the</P><br />
<P STYLE="margin-bottom: 0in"><br />
the value the audience places on meat</P><br />
<P STYLE="margin-bottom: 0in">Veblen19 in his classic 1899 analysis,<br />
                                         work of others net greater<br />
nutritional</P><br />
<P STYLE="margin-bottom: 0in"><br />
and the nutritional gains they realize</P><br />
<P STYLE="margin-bottom: 0in">the similarity between public generos-<br />
                                         gains than do the workers.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
from preferential association with</P><br />
<P STYLE="margin-bottom: 0in">ity and “conspicuous consumption.”12<br />
                                               If meat distributions<br />
do not exclude</P><br />
<P STYLE="margin-bottom: 0in"><br />
show-offs, both of which give success-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         free-riders, then the meat<br />
of large an-</P><br />
<P STYLE="margin-bottom: 0in"><br />
ful hunters latitude in pressing their</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         imals can be rather like a<br />
public good.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
own interests.23 It is proposed that a</P><br />
<P STYLE="margin-bottom: 0in">       HUNTING AS DISPLAY</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         If supplied by one,<br />
consumption ben-</P><br />
<P STYLE="margin-bottom: 0in"><br />
man’s reputation as a hunter affects</P><br />
<P STYLE="margin-bottom: 0in">   Recognition that signal content</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         eﬁts will be claimed by<br />
many. When</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
the way that others treat him because</P><br />
<P STYLE="margin-bottom: 0in">may play a role in the evolution of</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         individual effort supplies<br />
goods that</P><br />
<P STYLE="margin-bottom: 0in"><br />
of the nutritional beneﬁts they expect</P><br />
<P STYLE="margin-bottom: 0in">socially productive behaviors has im-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         also beneﬁt others,<br />
individual and col-</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>from living in the same group with him.</P><br />
<P STYLE="margin-bottom: 0in">plications with respect to variability</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         lective interests in those<br />
goods can be</P><br />
<P STYLE="margin-bottom: 0in"><br />
   This argument depends on an im-</P><br />
<P STYLE="margin-bottom: 0in">in the relative subsistence contribu-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         at odds, resulting in<br />
collective-action</P><br />
<P STYLE="margin-bottom: 0in"><br />
portant inference about the wide shar-</P></p>
<p><P STYLE="margin-bottom: 0in">tions of males and females. Among</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         problems.28 Because<br />
consumers can</P><br />
<P STYLE="margin-bottom: 0in">foragers, men produce, on average,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         beneﬁt whether or not they<br />
them-</P><br />
<P STYLE="margin-bottom: 0in">from 30% of all calories to nearly</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         selves are providers, public<br />
goods are</P><br />
<P STYLE="margin-bottom: 0in"><br />
Recognition that signal</P></p>
<p><P STYLE="margin-bottom: 0in">100%, if one does not count a wom-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         often under-supplied.29 As<br />
with com-</P><br />
<P STYLE="margin-bottom: 0in">an’s processing and tool preparation<br />
  content may play a role                  munity defense or public<br />
radio, non-</P><br />
<P STYLE="margin-bottom: 0in">as contributing to production.20 These</P><br />
<P STYLE="margin-bottom: 0in"><br />
in the evolution of                      providers can free-ride, so<br />
that a pro-</P><br />
<P STYLE="margin-bottom: 0in">long-term averages often include ex-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         vider’s own expected<br />
consumption</P></p>
<p><P STYLE="margin-bottom: 0in">tremely high short-term variation, in-<br />
socially productive                      gain from such goods is not<br />
enough</P><br />
<P STYLE="margin-bottom: 0in">cluding periods when men provide lit-</P><br />
<P STYLE="margin-bottom: 0in"><br />
behaviors has                            incentive to supply them.<br />
Why pay for</P><br />
<P STYLE="margin-bottom: 0in">tle or nothing. Where men’s average</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         what you can get for free?30<br />
This prob-</P><br />
<P STYLE="margin-bottom: 0in"><br />
implications with respect</P><br />
<P STYLE="margin-bottom: 0in">caloric production is disproportion-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                         lem arises with any good<br />
that is not</P><br />
<P STYLE="margin-bottom: 0in">ately greater than women’s, men al-</P><br />
<P STYLE="margin-bottom: 0in"><br />
to variability in the                    the private property of the<br />
producer.</P><br />
<P STYLE="margin-bottom: 0in">most always spend most of their for-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         The distinction between<br />
private and</P><br />
<P STYLE="margin-bottom: 0in"><br />
relative subsistence</P><br />
<P STYLE="margin-bottom: 0in">aging time hunting large game</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                         public goods turns on<br />
whether or not</P><br />
<P STYLE="margin-bottom: 0in">animals and then sharing them</P><br />
<P STYLE="margin-bottom: 0in"><br />
contributions of males                   users can exclude other<br />
claimants and</P><br />
<P STYLE="margin-bottom: 0in">widely, producing more calories for</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         whether anyone’s<br />
consumption of the</P><br />
<P STYLE="margin-bottom: 0in"><br />
and females.</P><br />
<P STYLE="margin-bottom: 0in">the group than for their own house-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                         good affects the consumption<br />
beneﬁts</P><br />
<P STYLE="margin-bottom: 0in">holds. The traditional explanation for</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         available to others. A<br />
perfectly public</P><br />
<P STYLE="margin-bottom: 0in">this pattern relies on two often un-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         good cannot be used<br />
exclusively by</P><br />
<P STYLE="margin-bottom: 0in">tested and somewhat paradoxical as-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         anyone. Also, consumers can<br />
use it</P></p>
<p><P STYLE="margin-bottom: 0in">sumptions: that such hunting is part</P><br />
<P STYLE="margin-bottom: 0in"><br />
ing of meat. Ethnographers have long     concurrently; that is,<br />
consumption by</P><br />
<P STYLE="margin-bottom: 0in">of the most efﬁcient energy or<br />
protein</P><br />
<P STYLE="margin-bottom: 0in"><br />
noted that people in small face-to-face  one does not reduce what is<br />
available</P><br />
<P STYLE="margin-bottom: 0in">maximization strategy and that such</P><br />
<P STYLE="margin-bottom: 0in"><br />
communities share food readily.26,27     to others. Ostrom and<br />
Ostrom31 use-</P><br />
<P STYLE="margin-bottom: 0in">hunting is inefﬁcient when attempted</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
Anthropologists from diverse theoret-    fully distinguished these<br />
two indepen-</P><br />
<P STYLE="margin-bottom: 0in">by women. Because these two as-</P><br />
<P STYLE="margin-bottom: 0in"><br />
ical traditions have favored explana-    dent dimensions, labeling<br />
them “ex-</P><br />
<P STYLE="margin-bottom: 0in">sumptions may not always hold,14</P><br />
<P STYLE="margin-bottom: 0in"><br />
tions for this sharing that focus on     clusion” and<br />
“subtractability.” Because</P><br />
<P STYLE="margin-bottom: 0in">some other explanation is warranted.</P><br />
<P STYLE="margin-bottom: 0in"><br />
reducing the nutritional income vari-    both excludability and<br />
subtractability</P></p>
<p><P STYLE="margin-bottom: 0in">   Men’s contribution to subsistence</P><br />
<P STYLE="margin-bottom: 0in"><br />
ability of unpredictable resources (see  are more continuous than<br />
discrete,</P><br />
<P STYLE="margin-bottom: 0in">may have evolved and may persist be-</P><br />
<P STYLE="margin-bottom: 0in"><br />
Box 1). This explanation has been es-    few goods are perfectly<br />
private or per-</P><br />
<P STYLE="margin-bottom: 0in">cause men establish and maintain</P><br />
<P STYLE="margin-bottom: 0in"><br />
pecially favored for meat sharing.       fectly public. But some<br />
goods allow</P><br />
<P STYLE="margin-bottom: 0in">their relative social standing by show-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
Game animals are large enough, and       more concurrent consumption;<br />
and</P><br />
<P STYLE="margin-bottom: 0in">ing off their hunting prowess. Various</P><br />
<P STYLE="margin-bottom: 0in"><br />
hunting is risky enough, that if hunt-   sometimes exclusion is<br />
impossible, or</P><br />
<P STYLE="margin-bottom: 0in">versions of that show-off hypothesis</P><br />
<P STYLE="margin-bottom: 0in"><br />
ers owned the meat of the prey they      its costs are too high to<br />
pay.32,33</P><br />
<P STYLE="margin-bottom: 0in">propose that hunters attract the favor-</P><br />
<P STYLE="margin-bottom: 0in"><br />
killed they would increase the average      Because hunting successes<br />
can be</P></p>
<p><P STYLE="margin-bottom: 0in">able attention of many potential con-</P><br />
<P STYLE="margin-bottom: 0in"><br />
nutritional utility they derive from it  so unpredictable and the<br />
meat then go</P><br />
<P STYLE="margin-bottom: 0in">sumers by acquiring foods that are</P><br />
<P STYLE="margin-bottom: 0in"><br />
by giving shares they value little when  mostly to others, whether by<br />
demand</P><br />
<P STYLE="margin-bottom: 0in">widely consumed.12,15,16,21–23 The<br />
in-</P><br />
<P STYLE="margin-bottom: 0in"><br />
they have a lot in exchange for the      sharing, tolerated theft, or<br />
normative</P><br />
<P STYLE="margin-bottom: 0in">terest all have in the meat acquired by</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
larger beneﬁt of shares to be repaid     rules of distribution, the<br />
nutritional</P><br />
<P STYLE="margin-bottom: 0in">hunters makes hunting a central</P><br />
<P STYLE="margin-bottom: 0in">arena for social competition among<br />
                                         beneﬁts a hunter can<br />
expect for him-</P><br />
<P STYLE="margin-bottom: 0in"><br />
later when they have little. The stabil-</P><br />
<P STYLE="margin-bottom: 0in">60 Evolutionary Anthropology           </p>
<p>           ARTICLES</P><br />
<P STYLE="margin-bottom: 0in">                                Box 1.<br />
Reciprocity in the Sharing of Display Game</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           gauging the interest and appetite of<br />
others would do better</P></p>
<p><P STYLE="margin-bottom: 0in">     Models of sharing used by<br />
behavioral ecologists typi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           not to start ﬁghts they would be likely<br />
to lose.</P><br />
<P STYLE="margin-bottom: 0in">  cally incorporate Trivers’86 model<br />
of reciprocal altruism in</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              The exchange model, in contrast,<br />
assumes that suppli-</P><br />
<P STYLE="margin-bottom: 0in">  which an individual pays a short-term<br />
cost that beneﬁts</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           ers own whatever they acquire. They thus<br />
incur a cost</P></p>
<p><P STYLE="margin-bottom: 0in">  someone else but nets an overall<br />
proﬁt when the beneﬁ-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           when giving up shares, but net a<br />
compensating beneﬁt</P><br />
<P STYLE="margin-bottom: 0in">  ciary later returns the favor.<br />
Trivers highlighted the sub-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           from subsequent repayment. The repayment<br />
is necessary</P><br />
<P STYLE="margin-bottom: 0in">  stantial beneﬁts that reciprocal<br />
altruists would accumulate</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           for reciprocal altruism to be stable.<br />
Nonreciprocators must</P></p>
<p><P STYLE="margin-bottom: 0in">  as compared to nonsharers if they<br />
could somehow over-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           be excluded, something that becomes<br />
increasingly difﬁcult</P><br />
<P STYLE="margin-bottom: 0in">  come their vulnerability to<br />
exploitation by recipients who</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           when strategies are more variable and<br />
groups include</P><br />
<P STYLE="margin-bottom: 0in">  did not repay. His ideas were<br />
supported by formal model-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           more than a few individuals.90 –93<br />
Repayment can be espe-</P></p>
<p><P STYLE="margin-bottom: 0in">  ing and computer simulations designed<br />
to tease out the</P><br />
<P STYLE="margin-bottom: 0in">  precise conditions that allow<br />
reciprocal altruism to be evo-     cially difﬁcult to enforce when<br />
sharing is highly visible, as</P><br />
<P STYLE="margin-bottom: 0in">  lutionarily stable. That work showed<br />
that reciprocators          when very large game animals are acquired<br />
and successes</P><br />
<P STYLE="margin-bottom: 0in">  could do well if they clustered<br />
together and if the range of     are unpredictable, with the hunter’s<br />
daily risk of failure</P><br />
<P STYLE="margin-bottom: 0in">  alternative strategies was sharply<br />
limited. In the case of       generally increasing with prey<br />
size.24,25,54 When a big-</P><br />
<P STYLE="margin-bottom: 0in">  humans, Trivers suggested that<br />
features of our emotional         game hunter is successful, there is<br />
a great deal of meat</P></p>
<p><P STYLE="margin-bottom: 0in">  architecture such as guilt and<br />
moralistic aggression indi-       and many who are hungry for it, and<br />
many of them are</P><br />
<P STYLE="margin-bottom: 0in">  cate an evolutionary design for<br />
reciprocal altruism. Pair-       armed with lethal weapons.33 Hunters<br />
themselves often do</P><br />
<P STYLE="margin-bottom: 0in">  wise exchanges of private goods among<br />
humans can be              not control the distribution, so they<br />
cannot direct shares to</P><br />
<P STYLE="margin-bottom: 0in">  highly reciprocal and subject not<br />
only to stringent control,     or away from particular individuals<br />
based on either debts</P><br />
<P STYLE="margin-bottom: 0in">  but also conventions about valuation<br />
and expectations            or prospects.25,40,50,55–57<br />
Quantitative records of meat dis-</P><br />
<P STYLE="margin-bottom: 0in">  regarding the timing and quantity of<br />
returns (for example,       tributions over time often ﬁnd<br />
claimants continuing to get</P></p>
<p><P STYLE="margin-bottom: 0in">  Hxaro gift exchange,87 Kula88).<br />
                           shares whether or not they ever supply<br />
them, and hunters</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           continuing to supply more meat even when<br />
others are</P><br />
<P STYLE="margin-bottom: 0in">     But human sharing can also involve<br />
multiple recipients</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           deeply in their debt.48,51,56,57,94 When<br />
this is so, the ques-</P><br />
<P STYLE="margin-bottom: 0in">  and have few, if any, of these<br />
features. In cases where food</P><br />
<P STYLE="margin-bottom: 0in">  ﬂows to multiple recipients and few<br />
are excluded, sharing        tion is why hunters continue to expend<br />
their effort supply-</P></p>
<p><P STYLE="margin-bottom: 0in">  may not be exchange at all. Instead<br />
of trading shares with       ing goods that go mostly to others.</P><br />
<P STYLE="margin-bottom: 0in">  each other, claimants may be<br />
appropriating shares from              It could be that in spite of<br />
the evidence that they do not</P><br />
<P STYLE="margin-bottom: 0in">  the “public domain.” Blurton<br />
Jones32,33 noted that food          control distributions of their<br />
prey, hunters are repaid by</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           recipients in some other currency.47 This<br />
would mean that</P><br />
<P STYLE="margin-bottom: 0in">  sharing need not imply owners paying<br />
a cost to give up</P><br />
<P STYLE="margin-bottom: 0in">  shares. Instead of ownership rights<br />
falling automatically on     the meat is not like a public good after<br />
all, but instead that</P></p>
<p><P STYLE="margin-bottom: 0in">  the acquirer, there could be a cost<br />
for defending shares         consumers are, in some undetermined way,<br />
paying every</P><br />
<P STYLE="margin-bottom: 0in">  from the claims of other users. The<br />
costs of not sharing         hunter for each share. While this would<br />
not conform to the</P><br />
<P STYLE="margin-bottom: 0in">  could sometimes be too high to be<br />
worth paying.89 The            nutritional variability reduction<br />
models of sharing,27,95,96 it</P><br />
<P STYLE="margin-bottom: 0in">  Blurton Jones “tolerated-theft”<br />
model showed that sharing        would conform to Trivers’86 model.<br />
Although the search for</P><br />
<P STYLE="margin-bottom: 0in">  could result if resources came in<br />
large but divisible lumps,     the currency in which to ﬁnd<br />
repayments continues, both</P><br />
<P STYLE="margin-bottom: 0in">  but not to everyone at once, and if<br />
consumers were pre-          theoretical and empirical work has<br />
increasingly stimulated</P></p>
<p><P STYLE="margin-bottom: 0in">  pared to press claims for a share<br />
according to the nutri-        researchers from many ﬁelds to<br />
consider other explanatory</P><br />
<P STYLE="margin-bottom: 0in">  tional value of the resource to them.<br />
As he noted, this need     pathways to the evolution of cooperation,<br />
sharing, and the</P><br />
<P STYLE="margin-bottom: 0in">  not mean incessant squabbling, since<br />
potential claimants         provisioning of public<br />
goods.8,18,83,97–102</P><br />
<P STYLE="margin-bottom: 0in"><br />
     some paid special attention to a              here.12,35,36 If<br />
audience members can</P><br />
<P STYLE="margin-bottom: 0in">self and his family are not great</P><br />
<P STYLE="margin-bottom: 0in"><br />
     hunter, others might be able to free-</P></p>
<p><P STYLE="margin-bottom: 0in">enough to make hunting an effective<br />
                                                   pay attention to<br />
the hunter and thus eat</P><br />
<P STYLE="margin-bottom: 0in"><br />
     ride, consuming meat brought down</P><br />
<P STYLE="margin-bottom: 0in">provisioning strategy. This is strong<br />
                                                   more of his meat<br />
without doing any-</P><br />
<P STYLE="margin-bottom: 0in"><br />
     by a hunter without paying special at-</P><br />
<P STYLE="margin-bottom: 0in">provocation to look for other reasons<br />
                                                   thing that beneﬁts<br />
him, the hunter’s se-</P><br />
<P STYLE="margin-bottom: 0in"><br />
     tention to him. In hypothesizing that</P><br />
<P STYLE="margin-bottom: 0in">why men hunt. Olson28 noted that se-<br />
                                                   lective incentive<br />
will disappear.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
     preferential attention is the selective          Smith and<br />
Bliege Bird12,37 and</P><br />
<P STYLE="margin-bottom: 0in">lective incentives, beneﬁts that went</P><br />
<P STYLE="margin-bottom: 0in"><br />
     incentive motivating hunters, Hawkes23</P><br />
<P STYLE="margin-bottom: 0in">only to suppliers, could motivate a<br />
                                                   Bliege Bird,<br />
Smith, and Bird15 ad-</P><br />
<P STYLE="margin-bottom: 0in">supply of collective goods. Selective<br />
                                                   dressed these<br />
issues by using costly</P><br />
<P STYLE="margin-bottom: 0in"><br />
     deﬁned that problem away. Like the</P><br />
<P STYLE="margin-bottom: 0in">incentives could draw men into hunt-<br />
                                                   signaling as a<br />
model for the payoffs to</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
     attention foragers pay to more pro-</P><br />
<P STYLE="margin-bottom: 0in">ing. Men may be enticed to hunt be-<br />
                                                   hunters and<br />
observers. These models</P><br />
<P STYLE="margin-bottom: 0in"><br />
     ductive patches by monitoring them</P><br />
<P STYLE="margin-bottom: 0in">cause doing so earns them differential<br />
                                                   stress the<br />
information that others gain</P><br />
<P STYLE="margin-bottom: 0in"><br />
     more closely, preferential attention to</P><br />
<P STYLE="margin-bottom: 0in">social attention. Rather than because<br />
                                                   as the key to<br />
evolutionary stability.</P><br />
<P STYLE="margin-bottom: 0in"><br />
     better hunters was assumed to increase</P></p>
<p><P STYLE="margin-bottom: 0in">of the nutritional value meat has for<br />
                                                   More than its<br />
value as a source of</P><br />
<P STYLE="margin-bottom: 0in"><br />
     the chances for consuming meat.23,34</P><br />
<P STYLE="margin-bottom: 0in">them or their families. This could pose<br />
                                                   nutrition, meat is<br />
a medium of com-</P><br />
<P STYLE="margin-bottom: 0in"><br />
     However, some still see a second-</P><br />
<P STYLE="margin-bottom: 0in">another collective-action problem. If<br />
                                                   munication through<br />
which the hunter</P><br />
<P STYLE="margin-bottom: 0in"><br />
     order collective-action problem lurking</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                        Evolutionary<br />
Anthropology 61</P></p>
<p><P STYLE="margin-bottom: 0in">ARTICLES</P><br />
<P STYLE="margin-bottom: 0in"><br />
   greater social, political, and reproduc-  women as lovers and as<br />
secondary fa-</P><br />
<P STYLE="margin-bottom: 0in">transmits information to potential</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                             thers of more children.<br />
(Secondary fa-</P><br />
<P STYLE="margin-bottom: 0in">mates, allies, and competitors. Collec-<br />
   tive success than do poorer competi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                             thers are men other than<br />
a mother’s</P><br />
<P STYLE="margin-bottom: 0in">tive-action problems do not arise in<br />
   tors. Ache foragers of eastern Para-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                             husband who were<br />
sexually involved</P><br />
<P STYLE="margin-bottom: 0in">handicap models because it is mutu-<br />
   guay are an especially well-studied</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                             with her at the time of<br />
her pregnancy).</P><br />
<P STYLE="margin-bottom: 0in">ally beneﬁcial to both show-off and<br />
     case.43 When living in the forest, Ache</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                             Ache women did not<br />
nominate hunt-</P><br />
<P STYLE="margin-bottom: 0in">audience to have the information<br />
   men spend nearly ﬁfty hours a week in</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                             ing skill as a criterion<br />
for choosing a</P></p>
<p><P STYLE="margin-bottom: 0in">about the show-off’s qualities re-<br />
     food acquisition,44 supplying a very</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                             mate, but men emphasized<br />
its impor-</P><br />
<P STYLE="margin-bottom: 0in">vealed. Show-offs obtain differential<br />
   large fraction of a diet that is uncom-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                             tance for success with<br />
women.43</P><br />
<P STYLE="margin-bottom: 0in">treatment only by paying the signal<br />
   monly ample among modern hunter-</P><br />
<P STYLE="margin-bottom: 0in">cost; signal recipients obtain informa-<br />
                                                In other ethnographic<br />
cases, hunt-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   gatherers.45 The generous nutrient av-</P></p>
<p><P STYLE="margin-bottom: 0in">tion about a signaler’s quality only<br />
by                                              ing success is also<br />
associated with ad-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   erages result not from high hourly</P><br />
<P STYLE="margin-bottom: 0in">attending to the signal.<br />
                                             vantages in male<br />
competition. Hadza</P><br />
<P STYLE="margin-bottom: 0in"><br />
   foraging return rates but from these</P><br />
<P STYLE="margin-bottom: 0in">   If men hunt to display their<br />
relative                                             men foraging in<br />
northern Tanzania</P><br />
<P STYLE="margin-bottom: 0in"><br />
   long hours,46,47 with better hunters</P><br />
<P STYLE="margin-bottom: 0in">quality, then the beneﬁts they earn<br />
for                                              are big game<br />
specialists52–54 (Fig. 1).</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
   spending the most time hunting48 (see</P><br />
<P STYLE="margin-bottom: 0in">that effort come not from exchanges<br />
                                             As among the Ache,<br />
hunters do not</P><br />
<P STYLE="margin-bottom: 0in"><br />
   Box 3). Wide sharing is especially well</P><br />
<P STYLE="margin-bottom: 0in">of meat for other goods and services,<br />
                                             control the distribution<br />
of meat.55–57</P><br />
<P STYLE="margin-bottom: 0in"><br />
   documented in this case.49,27 While</P><br />
<P STYLE="margin-bottom: 0in">but from the different ways that oth-<br />
                                             In this case, the wives<br />
and children of</P><br />
<P STYLE="margin-bottom: 0in">ers treat them in light of the quality<br />
                                             better hunters do have<br />
more positive</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
   Collective-action</P><br />
<P STYLE="margin-bottom: 0in">they reveal. Others use the informa-<br />
                                             weight gains,58 and<br />
those wives have</P><br />
<P STYLE="margin-bottom: 0in">tion of hunting reputations to their<br />
                                             surviving children<br />
faster.59 But these</P><br />
<P STYLE="margin-bottom: 0in"><br />
   problems do not arise in</P><br />
<P STYLE="margin-bottom: 0in">own advantage in the numerous deci-<br />
                                             differences are directly<br />
associated</P><br />
<P STYLE="margin-bottom: 0in"><br />
   handicap models</P><br />
<P STYLE="margin-bottom: 0in">sions of social life.<br />
                                             with the foraging effort<br />
of the women</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                             themselves.60,61 As with<br />
the Ache, the</P><br />
<P STYLE="margin-bottom: 0in"><br />
   because it is mutually                    wide sharing of meat<br />
means that</P><br />
<P STYLE="margin-bottom: 0in">     THE HUNTER’S INCENTIVES</P><br />
<P STYLE="margin-bottom: 0in"><br />
   beneﬁcial to both show-                   Hadza women and<br />
children receive</P><br />
<P STYLE="margin-bottom: 0in">   If hunting is a signal of quality,<br />
then                                           little of their meat<br />
from kills by their</P><br />
<P STYLE="margin-bottom: 0in"><br />
   off and audience to</P></p>
<p><P STYLE="margin-bottom: 0in">the hunter’s beneﬁt does not depend<br />
                                                 husband and father.<br />
Consistent with</P><br />
<P STYLE="margin-bottom: 0in"><br />
   have the information</P><br />
<P STYLE="margin-bottom: 0in">on collecting repayments from each<br />
                                             this, a father’s death<br />
or parental di-</P><br />
<P STYLE="margin-bottom: 0in">recipient of meat. Rather, hunters in-<br />
                                             vorce has no effect on<br />
child survival.62</P><br />
<P STYLE="margin-bottom: 0in"><br />
   about the show-off’s</P><br />
<P STYLE="margin-bottom: 0in">crease their prestige by contributing<br />
                                             However, better Hadza<br />
hunters tend</P><br />
<P STYLE="margin-bottom: 0in"><br />
   qualities revealed.</P></p>
<p><P STYLE="margin-bottom: 0in">more than others do (See Box 3). Za-<br />
                                             to be married to<br />
harder-working</P><br />
<P STYLE="margin-bottom: 0in">havi has observed babblers demon-<br />
                                             wives.61 Older men who<br />
are better</P><br />
<P STYLE="margin-bottom: 0in"><br />
   Show-offs obtain</P><br />
<P STYLE="margin-bottom: 0in">strating superior stamina by compet-<br />
                                             hunters have younger<br />
wives,59 sug-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   differential treatment</P><br />
<P STYLE="margin-bottom: 0in">ing to invest more in costly sentinel<br />
                                             gesting they are more<br />
likely to leave</P><br />
<P STYLE="margin-bottom: 0in">duty.3,17,18,38 While others beneﬁt</P><br />
<P STYLE="margin-bottom: 0in"><br />
   only by paying the                        an older wife to raise a<br />
second fam-</P></p>
<p><P STYLE="margin-bottom: 0in">from this public good, the providers<br />
                                             ily—another way they<br />
have increased</P><br />
<P STYLE="margin-bottom: 0in"><br />
   signal cost; signal</P><br />
<P STYLE="margin-bottom: 0in">earn prestige for their quality.<br />
“Social                                             success in<br />
competing for paternity.</P><br />
<P STYLE="margin-bottom: 0in">prestige functions like a peacock’s<br />
tail   recipients obtain                         Meriam turtle<br />
hunters also have</P><br />
<P STYLE="margin-bottom: 0in">or the song of a songbird. It attracts<br />
                                             higher age-speciﬁc<br />
reproductive suc-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   information about a</P><br />
<P STYLE="margin-bottom: 0in">collaborators and deters rivals.”3<br />
                                               cess than do<br />
nonhunters and, as with</P><br />
<P STYLE="margin-bottom: 0in"><br />
   signaler’s quality only by</P></p>
<p><P STYLE="margin-bottom: 0in">   In the human case, a reputation for<br />
                                             the Hadza, this seems<br />
due to assorta-</P><br />
<P STYLE="margin-bottom: 0in">good hunting generally affects a man’s<br />
                                              tive mating: hunters<br />
claim more fer-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   attending to the signal.</P><br />
<P STYLE="margin-bottom: 0in">social standing relative to other men<br />
                                             tile wives than do<br />
nonhunters.63</P><br />
<P STYLE="margin-bottom: 0in">in foraging communities.20,39,40 In the</P><br />
<P STYLE="margin-bottom: 0in">northern Kalahari, traditional hunters</P><br />
<P STYLE="margin-bottom: 0in">usually bagged no more than two or<br />
                                                     COMPARISONS WITH</P><br />
<P STYLE="margin-bottom: 0in">three large antelope in a year.41</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
   the Ache are on forest treks, any hunt-          CHIMPANZEE<br />
HUNTING</P><br />
<P STYLE="margin-bottom: 0in">Thomas42 reported the characteriza-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   er’s prey is distributed to all. The</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                Studies of the<br />
beneﬁts chimpanzees</P><br />
<P STYLE="margin-bottom: 0in">tion of a famous man with the hyper-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   hunter himself has no hand in this</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                             obtain by hunting red<br />
colobus mon-</P></p>
<p><P STYLE="margin-bottom: 0in">bole that underlines the value placed</P><br />
<P STYLE="margin-bottom: 0in"><br />
   distribution, and so does not direct      keys suggest some<br />
parallels with hu-</P><br />
<P STYLE="margin-bottom: 0in">on hunting success:</P><br />
<P STYLE="margin-bottom: 0in"><br />
   shares preferentially to particular re-   man hunting. In that<br />
species, hunting</P><br />
<P STYLE="margin-bottom: 0in">      It was said of him that he never<br />
   cipients.50 The families of better hunt-  is also a male<br />
specialty, and meat is</P><br />
<P STYLE="margin-bottom: 0in">      returned from a hunt without<br />
   ers end up with no more meat than         more widely shared than<br />
are other</P><br />
<P STYLE="margin-bottom: 0in">      having killed at least a wilde-<br />
   other families.27 Hill and Hurtado’s43    foods. Accumulating<br />
evidence sug-</P></p>
<p><P STYLE="margin-bottom: 0in">      beest, if not something larger.<br />
   demographic data show little differ-      gests that chimpanzee<br />
hunting is best</P><br />
<P STYLE="margin-bottom: 0in">      Hence the people connected<br />
   ence in survival risk for the children of explained as a male<br />
strategy for gain-</P><br />
<P STYLE="margin-bottom: 0in">      with him ate a great deal of<br />
   better hunters. But men rated as bet-     ing and maintaining<br />
higher sta-</P><br />
<P STYLE="margin-bottom: 0in">      meat and his popularity grew.<br />
   ter hunters had much higher fertility.    tus.64,65 Stanford and<br />
coworkers66</P><br />
<P STYLE="margin-bottom: 0in"><br />
   In a smaller data set,51 better Ache</P><br />
<P STYLE="margin-bottom: 0in">   There is increasing evidence that<br />
                                             found that the three<br />
variables most</P></p>
<p><P STYLE="margin-bottom: 0in">good hunters in many societies enjoy<br />
   hunters were more often named by          strongly associated with<br />
the likeli-</P><br />
<P STYLE="margin-bottom: 0in">62 Evolutionary Anthropology           </p>
<p>      ARTICLES</P><br />
<P STYLE="margin-bottom: 0in">    Box 2. Sharing Among the Hadza and<br />
the Meriam: Do Those Who Supply More Meat Receive</P><br />
<P STYLE="margin-bottom: 0in"><br />
        More Meat From Others?</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              the Meriam, those<br />
households who</P><br />
<P STYLE="margin-bottom: 0in">     When sharing is exchange, some-<br />
    patterns suggests that reciprocity-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              supply meat in greater<br />
quantities (A</P></p>
<p><P STYLE="margin-bottom: 0in">  one is giving up a share, and so in-<br />
    based explanations are more likely to</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              and B) or who supply it<br />
more fre-</P><br />
<P STYLE="margin-bottom: 0in">  curring a cost to get a repayment in<br />
    apply to the sharing of nongame or</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              quently (C and D) do<br />
not seem to be</P><br />
<P STYLE="margin-bottom: 0in">  return. What people say about their<br />
    nonforest resources. Game, espe-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              rewarded for their<br />
generosity with</P></p>
<p><P STYLE="margin-bottom: 0in">  “rights” as claimants is relevant<br />
to      cially large game, which often is</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              more meat supplied by<br />
others or</P><br />
<P STYLE="margin-bottom: 0in">  this question, but it is also of<br />
interest shared in public, seems not to follow</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              more frequent<br />
receipts.57,94 The Me-</P><br />
<P STYLE="margin-bottom: 0in">  to see, whatever the stated rules of<br />
    the same sharing rules as do other</P><br />
<P STYLE="margin-bottom: 0in">  ownership, whether there is a “quid<br />
      resources.                                riam data come from a<br />
systematic</P></p>
<p><P STYLE="margin-bottom: 0in">  pro quo” pattern in the actual ﬂow<br />
of        Are sharers rewarded for the           survey of the<br />
distribution patterns of</P><br />
<P STYLE="margin-bottom: 0in">  shares. Tests of reciprocal altruism<br />
in   shares they supply with future shares     all turtles acquired<br />
by island house-</P><br />
<P STYLE="margin-bottom: 0in">  human food-sharing patterns some-<br />
    of the same high-variability resource?    holds during one year.<br />
The Hadza</P><br />
<P STYLE="margin-bottom: 0in">  times show that recipients do repay<br />
    This is the central assumption of the     meat-sharing data come<br />
from a sam-</P><br />
<P STYLE="margin-bottom: 0in">  suppliers.103 Sometimes this applies<br />
    “risk-reduction reciprocity” hypothe-     ple of shares from<br />
large game (Fig. 1)</P><br />
<P STYLE="margin-bottom: 0in"><br />
    sis that hunters exchange meat to re-     carried to households<br />
in a study</P></p>
<p><P STYLE="margin-bottom: 0in">  to certain kinds of food and not oth-</P><br />
<P STYLE="margin-bottom: 0in"><br />
    duce the variability in their nutritional camp that moved its<br />
location and</P><br />
<P STYLE="margin-bottom: 0in">  ers. For example, Gurven and co-</P><br />
<P STYLE="margin-bottom: 0in"><br />
    income. Among both the Hadza and          changed in membership<br />
over time.</P><br />
<P STYLE="margin-bottom: 0in">  workers,104 analysis of Hiwi sharing</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>Evolutionary Anthropology 63</P></p>
<p><P STYLE="margin-bottom: 0in">ARTICLES</P><br />
<P STYLE="margin-bottom: 0in"><br />
            Box 2. (Continued)</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               the Hadza, we can<br />
immediately reject</P><br />
<P STYLE="margin-bottom: 0in"><br />
    just as much and just as frequently</P><br />
<P STYLE="margin-bottom: 0in">      Men could only be recorded as re-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               this possibility<br />
because the majority of</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
    as those who supplied it most gen-</P><br />
<P STYLE="margin-bottom: 0in">   cipients or suppliers of shares<br />
while</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               calories that<br />
acquirers supply to other</P><br />
<P STYLE="margin-bottom: 0in"><br />
    erously. Sharing turtle among the Me-</P><br />
<P STYLE="margin-bottom: 0in">   co-resident with the observers.<br />
Those</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               nuclear families are<br />
from large game</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
    riam and sharing large game animals</P><br />
<P STYLE="margin-bottom: 0in">   who were in the sampling window</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               animals, with only a<br />
small proportion</P><br />
<P STYLE="margin-bottom: 0in"><br />
    among the Hadza seems not to be</P><br />
<P STYLE="margin-bottom: 0in">   longer were, other things the same,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               coming from honey.<br />
Could Meriam</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
    conditional on getting portions from</P><br />
<P STYLE="margin-bottom: 0in">   more likely to be caught doing both,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               households be trading<br />
turtle calories</P><br />
<P STYLE="margin-bottom: 0in"><br />
    others. The beneﬁts of supplying</P><br />
<P STYLE="margin-bottom: 0in">   which accounts for the slight but<br />
still</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               for ﬁsh? This does<br />
not seem likely: Me-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
    meat do not appear to come from</P><br />
<P STYLE="margin-bottom: 0in">   insigniﬁcant positive trend. After<br />
ac-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               riam households who<br />
shared turtle dur-</P><br />
<P STYLE="margin-bottom: 0in"><br />
    getting more meat from others.</P><br />
<P STYLE="margin-bottom: 0in">   counting for the large variation</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               ing the nesting season<br />
were not pref-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
       There is the possibility that shares of</P><br />
<P STYLE="margin-bottom: 0in">   among hunters in days resident, par-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               erentially given ﬁsh.<br />
Among eight</P><br />
<P STYLE="margin-bottom: 0in"><br />
    Hadza game and Meriam turtles are</P><br />
<P STYLE="margin-bottom: 0in">   tial correlations actually indicate<br />
a</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               households sampled,<br />
ﬁve never shared</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
    traded for other resources. For the Me-</P><br />
<P STYLE="margin-bottom: 0in">   slight negative trend between both</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               turtle, yet received<br />
an average of 50</P><br />
<P STYLE="margin-bottom: 0in"><br />
    riam, turtle makes up more than 80%</P><br />
<P STYLE="margin-bottom: 0in">   Kg shared and received (R<br />
.243)</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               grams of ﬁsh per<br />
capita per sample</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
    of all calories of food transferred be-</P><br />
<P STYLE="margin-bottom: 0in">   and the frequency of sharing and re-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               day, while the three<br />
households that</P><br />
<P STYLE="margin-bottom: 0in"><br />
    tween households during the nesting</P><br />
<P STYLE="margin-bottom: 0in">   ceiving (R       .194). Indeed,<br />
among</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               shared turtle received<br />
an average of 4</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
    season, with ﬁsh and other marine re-</P><br />
<P STYLE="margin-bottom: 0in">   both the Hadza and Meriam, those</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               grams of ﬁsh.</P><br />
<P STYLE="margin-bottom: 0in"><br />
    sources making up the remainder. For</P><br />
<P STYLE="margin-bottom: 0in">   who never supplied meat received</P><br />
<P STYLE="margin-bottom: 0in">hood of chimpanzee hunting over a<br />
                                                   Chimpanzee males<br />
could be drawn</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
        sharing session that follows can</P><br />
<P STYLE="margin-bottom: 0in">ten-year period at Gombe were the<br />
                                                into hunting because<br />
control of meat</P><br />
<P STYLE="margin-bottom: 0in"><br />
        be enormously costly relative to</P><br />
<P STYLE="margin-bottom: 0in">number of males in a party, total party<br />
                                                is an effective way<br />
to display relative</P><br />
<P STYLE="margin-bottom: 0in"><br />
        the quantity of meat that is usu-</P><br />
<P STYLE="margin-bottom: 0in">size, and the number of females with<br />
                                                quality. Unlike the<br />
human case where,</P><br />
<P STYLE="margin-bottom: 0in"><br />
        ally available.</P></p>
<p><P STYLE="margin-bottom: 0in">estrous swellings in the party. The<br />
last                                                as argued here, a<br />
hunter’s own beneﬁt</P><br />
<P STYLE="margin-bottom: 0in"><br />
      At Ngogo,64 males who shared meat</P><br />
<P STYLE="margin-bottom: 0in">of these was the strongest predictor,<br />
                                                depends on credit for<br />
the kill rather</P><br />
<P STYLE="margin-bottom: 0in"><br />
   with each other also shared coalition-</P><br />
<P STYLE="margin-bottom: 0in">suggesting that hunting is more likely<br />
                                                than on control of<br />
the meat, chimpan-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   ary support. Mitani and Watts64 con-</P><br />
<P STYLE="margin-bottom: 0in">when male mating competition is<br />
                                                zee males compete for<br />
possession of</P></p>
<p><P STYLE="margin-bottom: 0in">most immediate. Teleki67 found that<br />
   cluded that Ngogo males hunt to ob-          the meat. Sometimes<br />
they rip the car-</P><br />
<P STYLE="margin-bottom: 0in">Gombe females were both more likely<br />
   tain meat they then use to develop and       cass apart in the<br />
process. Unlike other</P><br />
<P STYLE="margin-bottom: 0in">to beg meat from males and more<br />
   maintain social relationships with           forms of display<br />
among male chim-</P><br />
<P STYLE="margin-bottom: 0in">likely to get meat when in estrus.<br />
   other males.                                 panzees, however,<br />
hunting and meat</P><br />
<P STYLE="margin-bottom: 0in">Stanford68 observed “meat for sex”<br />
ex-</P><br />
<P STYLE="margin-bottom: 0in">changes. But at other times and at</P><br />
<P STYLE="margin-bottom: 0in">other sites this is less<br />
common.65,69,70</P><br />
<P STYLE="margin-bottom: 0in">During Mitani and Watts’65 observa-</P><br />
<P STYLE="margin-bottom: 0in">tions at Ngogo, estrous females re-</P></p>
<p><P STYLE="margin-bottom: 0in">ceived meat more often and anestrous</P><br />
<P STYLE="margin-bottom: 0in">females less often than expected by</P><br />
<P STYLE="margin-bottom: 0in">chance, but sharing did not affect the</P><br />
<P STYLE="margin-bottom: 0in">probability or frequency of mating.</P><br />
<P STYLE="margin-bottom: 0in">Overall, adult males consume most of</P><br />
<P STYLE="margin-bottom: 0in">the meat, little going to females and</P><br />
<P STYLE="margin-bottom: 0in">even less to juveniles.65,68 –71</P><br />
<P STYLE="margin-bottom: 0in">   At Ngogo, hunting was not a strat-</P></p>
<p><P STYLE="margin-bottom: 0in">egy for meeting a nutritional<br />
shortfall.</P><br />
<P STYLE="margin-bottom: 0in">To the contrary, Mitani and Watts64</P><br />
<P STYLE="margin-bottom: 0in">found that hunting increased when</P><br />
<P STYLE="margin-bottom: 0in">there was more ripe fruit available.<br />
This</P><br />
<P STYLE="margin-bottom: 0in">is consistent with Stanford’s72<br />
conclu-</P><br />
<P STYLE="margin-bottom: 0in">sion based on observations at Gombe:</P><br />
<P STYLE="margin-bottom: 0in">      Most members of the hunting</P><br />
<P STYLE="margin-bottom: 0in">      party receive very little meat<br />
for</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
   Figure 1. Hadza men women and children returning home from a<br />
death, butchery, and</P><br />
<P STYLE="margin-bottom: 0in">      their effort, and the number of<br />
   consumption site where all have been eating meat. They are<br />
carrying household meat</P><br />
<P STYLE="margin-bottom: 0in">      chimp-hours expended on the<br />
   shares57 (see Box 2) back to the residential base. (Photograph<br />
courtesy of J. F.</P><br />
<P STYLE="margin-bottom: 0in">      hunt plus the long begging and<br />
   O’Connell.)</P><br />
<P STYLE="margin-bottom: 0in">64 Evolutionary Anthropology           </p>
<p>          ARTICLES</P><br />
<P STYLE="margin-bottom: 0in"><br />
Box 3. Competition Intensiﬁes Work Effort</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                           to spend time as group sentinels.38 Ache<br />
men hunt very</P><br />
<P STYLE="margin-bottom: 0in">      Kaplan and coworkers47 have<br />
recently interpreted age-</P><br />
<P STYLE="margin-bottom: 0in">   related changes in foraging<br />
productivity as evidence that       long hours,44,47 and better Ache<br />
hunters spend even more</P><br />
<P STYLE="margin-bottom: 0in">   foraging ability accumulates over<br />
the life span as a result of  time hunting.48 The same appears to be<br />
true for the !Kung</P><br />
<P STYLE="margin-bottom: 0in">   increased practice and experience.<br />
We emphasize an al-          and Hadza as well, with better hunters<br />
spending more time</P><br />
<P STYLE="margin-bottom: 0in">   ternative and additional inﬂuence<br />
on productivity proﬁles:      hunting.41,57 Better Meriam spear<br />
ﬁshers also spend more</P></p>
<p><P STYLE="margin-bottom: 0in">   changes in the beneﬁts for working<br />
longer hours or forag-       time out on the reef.15 When some<br />
individuals gain com-</P><br />
<P STYLE="margin-bottom: 0in">   ing with greater intensity.<br />
Sometimes working longer hours      petitive advantages over others<br />
by engaging in activities</P><br />
<P STYLE="margin-bottom: 0in">   does not mean more food for one’s<br />
own household but             with display value, and when productive<br />
activities are ef-</P><br />
<P STYLE="margin-bottom: 0in">   increased relative status among<br />
group members. Arabian          fective displays, increased<br />
productivity can be the out-</P><br />
<P STYLE="margin-bottom: 0in">   babblers compete among themselves<br />
for the opportunity           come of status competition.</P><br />
<P STYLE="margin-bottom: 0in"><br />
      observation shows that this danger is</P></p>
<p><P STYLE="margin-bottom: 0in">sharing result in more than informa-<br />
                                                 to talk quietly of<br />
the day. Then, with-</P><br />
<P STYLE="margin-bottom: 0in">tion for the audience. At least some<br />
                                                 out fanfare, someone<br />
else, perhaps a</P><br />
<P STYLE="margin-bottom: 0in"><br />
      minimized because it is not a hunter</P><br />
<P STYLE="margin-bottom: 0in">others get to eat meat as a conse-<br />
                                                 boy, will step<br />
outside the circle of ﬁres</P><br />
<P STYLE="margin-bottom: 0in"><br />
      himself who touts his own exploits.</P><br />
<P STYLE="margin-bottom: 0in">quence, a possible evolutionary foun-<br />
                                                 and drag in any prey<br />
left discretely at</P><br />
<P STYLE="margin-bottom: 0in"><br />
      Lee’s73 famous anecdote about the</P></p>
<p><P STYLE="margin-bottom: 0in">dation for the much greater beneﬁts<br />
                                                   the margins of the<br />
camp. This absence</P><br />
<P STYLE="margin-bottom: 0in"><br />
      properly self-effacing behavior of</P><br />
<P STYLE="margin-bottom: 0in">that ﬂow to others from some kinds of<br />
                                                   of<br />
self-aggrandizement among hunt-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      !Kung hunters captures the common</P><br />
<P STYLE="margin-bottom: 0in">human showing off.<br />
                                                 ers seems initially<br />
inconsistent with</P><br />
<P STYLE="margin-bottom: 0in"><br />
      pattern.74 But !Kung men talk end-</P><br />
<P STYLE="margin-bottom: 0in">   The male competition for status<br />
                                                 the proposition that<br />
hunting is dis-</P></p>
<p><P STYLE="margin-bottom: 0in">seen in modern chimpanzee hunting<br />
                                                 play, but if the<br />
message is in the meat,</P><br />
<P STYLE="margin-bottom: 0in">provides a hominoid foundation for<br />
                                                 it is the reliable<br />
links between a</P><br />
<P STYLE="margin-bottom: 0in"><br />
      The male competition</P><br />
<P STYLE="margin-bottom: 0in">the evolution of human hunting. Mod-<br />
                                                 hunter and the prey<br />
that matters. The</P><br />
<P STYLE="margin-bottom: 0in">ern human hunters often display in a<br />
                                                 stories told by<br />
others, accumulating</P><br />
<P STYLE="margin-bottom: 0in"><br />
      for status seen in</P><br />
<P STYLE="margin-bottom: 0in">way that provides more nutritional<br />
                                                 from the interwoven<br />
observations of</P><br />
<P STYLE="margin-bottom: 0in"><br />
      modern chimpanzee</P></p>
<p><P STYLE="margin-bottom: 0in">beneﬁts to all. That difference can<br />
be                                                   many, make that<br />
link. As in other do-</P><br />
<P STYLE="margin-bottom: 0in">related to other differences between<br />
                                                 mains of male<br />
contest, “trash talk”</P><br />
<P STYLE="margin-bottom: 0in"><br />
      hunting provides a</P><br />
<P STYLE="margin-bottom: 0in">us and our sister species. One of those<br />
                                                 may have its uses,<br />
but reputations for</P><br />
<P STYLE="margin-bottom: 0in"><br />
      hominoid foundation for</P><br />
<P STYLE="margin-bottom: 0in">differences is, of course, that human<br />
                                                 delivering the goods<br />
cannot be built</P><br />
<P STYLE="margin-bottom: 0in"><br />
      the evolution of human</P></p>
<p><P STYLE="margin-bottom: 0in">hunters have the technology to cap-<br />
                                                 upon it.</P><br />
<P STYLE="margin-bottom: 0in">ture prey larger than themselves. An-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      hunting. Modern human</P><br />
<P STYLE="margin-bottom: 0in">other may be the inability of chimpan-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    WHY IS MEAT THE<br />
SIGNAL?</P><br />
<P STYLE="margin-bottom: 0in"><br />
      hunters often display in</P><br />
<P STYLE="margin-bottom: 0in">zee hunting techniques to distinguish</P></p>
<p><P STYLE="margin-bottom: 0in">effectively among the varying skill<br />
lev-                                                    If it is<br />
merely information that is</P><br />
<P STYLE="margin-bottom: 0in"><br />
      a way that provides</P><br />
<P STYLE="margin-bottom: 0in">els of hunters. Another difference is<br />
                                                 being transferred,<br />
does this mean that</P><br />
<P STYLE="margin-bottom: 0in"><br />
      more nutritional beneﬁts</P><br />
<P STYLE="margin-bottom: 0in">especially relevant in the context of<br />
                                                 signal form is<br />
arbitrary (as in Fisher-</P><br />
<P STYLE="margin-bottom: 0in">arguments here: We have language.<br />
                                                 ian runaway sexual<br />
selection) as long</P><br />
<P STYLE="margin-bottom: 0in"><br />
      to all. That difference</P></p>
<p><P STYLE="margin-bottom: 0in">Among people, the story of a hunter’s<br />
                                                   as information is<br />
transmitted honestly</P><br />
<P STYLE="margin-bottom: 0in"><br />
      can be related to other</P><br />
<P STYLE="margin-bottom: 0in">success spreads to a wide audience,<br />
                                                 to the appropriate<br />
observers? There</P><br />
<P STYLE="margin-bottom: 0in">though few, if any, of its members<br />
                                                 are good reasons to<br />
think not. While it</P><br />
<P STYLE="margin-bottom: 0in"><br />
      differences between us</P><br />
<P STYLE="margin-bottom: 0in">actually saw him capture the prey.<br />
                                                 is just as costly<br />
for signalers to give an</P><br />
<P STYLE="margin-bottom: 0in"><br />
      and our sister species.</P></p>
<p><P STYLE="margin-bottom: 0in">Human reputations can be built<br />
                                                 altruistic signal as<br />
an equivalently</P><br />
<P STYLE="margin-bottom: 0in">through storytelling, but chimpanzee<br />
                                                 wasteful display,18<br />
it may not be</P><br />
<P STYLE="margin-bottom: 0in">reputations cannot: only those on the<br />
                                                 equally beneﬁcial.<br />
Some observers</P><br />
<P STYLE="margin-bottom: 0in">scene of hunting and meat sharing ep-<br />
                                                 may be more<br />
interested in “altruistic”</P><br />
<P STYLE="margin-bottom: 0in">isodes can be signal recipients. Lan-<br />
                                                 signals than<br />
“wasteful” ones because</P><br />
<P STYLE="margin-bottom: 0in"><br />
      lessly about hunts and hunting, re-</P><br />
<P STYLE="margin-bottom: 0in">guage broadens the audience to in-<br />
                                                 such signals provide<br />
more than sim-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      hearsing the “minutest details.”41,75,76</P></p>
<p><P STYLE="margin-bottom: 0in">clude all who hear the story and thus<br />
                                                 ply information,25<br />
because they pro-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      All those who listen to the storytelling</P><br />
<P STYLE="margin-bottom: 0in">may vastly increase the signaling ben-<br />
                                                 vide different sorts<br />
of information,37</P><br />
<P STYLE="margin-bottom: 0in"><br />
      soon know which man it was that</P><br />
<P STYLE="margin-bottom: 0in">eﬁts of displaying skill through game<br />
                                                   or both. Peacock<br />
tails,77 conspicuous</P><br />
<P STYLE="margin-bottom: 0in"><br />
      made every kill. The self-effacing style</P><br />
<P STYLE="margin-bottom: 0in">acquisition.<br />
                                                 leisure,19 or<br />
spear-throwing accuracy15</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
      also characterizes Ache hunters, who</P><br />
<P STYLE="margin-bottom: 0in">   Talk, however, is cheap. Tales of<br />
                                                 give only<br />
information to signal recip-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      arrive at the evening’s forest camp</P><br />
<P STYLE="margin-bottom: 0in">hunting might allow show-offs to<br />
                                                 ients. Sentinel<br />
duty, hunting, feasting,</P><br />
<P STYLE="margin-bottom: 0in"><br />
      without a word, whether they have</P><br />
<P STYLE="margin-bottom: 0in">bluff about their successes, or at<br />
least                                                 political pork,<br />
and group defense send</P><br />
<P STYLE="margin-bottom: 0in"><br />
      taken any prey or not. Ten minutes or</P></p>
<p><P STYLE="margin-bottom: 0in">claim near misses, without paying<br />
                                                 information but also<br />
beneﬁt the audi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
      more may pass before the men begin</P><br />
<P STYLE="margin-bottom: 0in">real costs. Widespread ethnographic<br />
                                                 ence in other ways.<br />
Beneﬁts other</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>Evolutionary Anthropology 65</P><br />
<P STYLE="margin-bottom: 0in">ARTICLES</P><br />
<P STYLE="margin-bottom: 0in"><br />
In the last few years, a combination of</P><br />
<P STYLE="margin-bottom: 0in">than information can play a role in the<br />
                                                    ioral ecology: an<br />
evolutionary approach. Oxford:</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                    Blackwell<br />
Science. p 155–178.</P><br />
<P STYLE="margin-bottom: 0in"><br />
empirical and theoretical work has</P><br />
<P STYLE="margin-bottom: 0in">dynamics of selection for displays be-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    7 Getty T. 1998.<br />
Handicap signaling: when fecun-</P><br />
<P STYLE="margin-bottom: 0in"><br />
found costly displays to be much</P><br />
<P STYLE="margin-bottom: 0in">cause it is audience attention that de-<br />
                                                    dity and<br />
viability do not add up. Anim Behav</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>more widespread than was previously</P><br />
<P STYLE="margin-bottom: 0in">termines gains to the show-off.<br />
                                                    56:127–130.</P><br />
<P STYLE="margin-bottom: 0in"><br />
recognized. Darwin focused on mate</P><br />
<P STYLE="margin-bottom: 0in">   Audience sensitivity (receiver bias)<br />
                                                    8 Boone JL. 1998.<br />
The evolution of magnanimity:</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    when is it better<br />
to give than to receive? Hum Nat</P><br />
<P STYLE="margin-bottom: 0in"><br />
choice and competition for mates, but</P><br />
<P STYLE="margin-bottom: 0in">affects the nature of displays because</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                    9:1–21.</P><br />
<P STYLE="margin-bottom: 0in"><br />
if displays are signals, selection can</P><br />
<P STYLE="margin-bottom: 0in">signals must be detected effectively by<br />
                                                    9 Neiman FD.<br />
1998. Conspicuous consumption</P><br />
<P STYLE="margin-bottom: 0in"><br />
favor wasteful expenditure on them in</P><br />
<P STYLE="margin-bottom: 0in">appropriate recipients.78 – 82<br />
Because                                                      as<br />
wasteful advertising: a Darwinian perspective</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    on spatial<br />
patterns in the Classic Maya terminal</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>any kind of social interaction, includ-</P><br />
<P STYLE="margin-bottom: 0in">public goods are consumed by many,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    monument dates.<br />
In: Barton CM, Clark GA, edi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
ing those between parents and off-</P><br />
<P STYLE="margin-bottom: 0in">identiﬁcation with those goods<br />
                                                      tors.<br />
Rediscovering Darwin: evolutionary theory</P><br />
<P STYLE="margin-bottom: 0in"><br />
spring or predators and prey.</P><br />
<P STYLE="margin-bottom: 0in">reaches a wide audience of consum-<br />
                                                    and<br />
archaeological explanation. Washington</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                    D. C.:<br />
Archaeological Papers of the American An-</P><br />
<P STYLE="margin-bottom: 0in"><br />
   Our arguments seek to explain the</P><br />
<P STYLE="margin-bottom: 0in">ers. This “broadcast effectiveness”</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    thropological<br />
Association, No. 7. p 267–290.</P><br />
<P STYLE="margin-bottom: 0in"><br />
evolution of men’s subsistence work</P><br />
<P STYLE="margin-bottom: 0in">might help explain the recurrence of</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    10 Miller GF.<br />
1999. Sexual selection for cultural</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
as a strategy to compete effectively for</P><br />
<P STYLE="margin-bottom: 0in">common goods provisioning among<br />
                                                    displays. In:<br />
Dunbar R, editors. The evolution of</P><br />
<P STYLE="margin-bottom: 0in"><br />
social advantage in a world where</P><br />
<P STYLE="margin-bottom: 0in">humans.12,83 Signals designed to ac-<br />
                                                    culture.<br />
Edinburgh: Edinburgh University Press.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    p 71–91.</P><br />
<P STYLE="margin-bottom: 0in"><br />
honesty is at a premium and political</P><br />
<P STYLE="margin-bottom: 0in">quire or maintain higher social stand-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                    11 Miller GF.<br />
2000. The mating mind: how sex-</P><br />
<P STYLE="margin-bottom: 0in"><br />
alliances substitute for body size and</P><br />
<P STYLE="margin-bottom: 0in">ing in a group should be directed to<br />
                                                    ual choice shaped<br />
the evolution of human na-</P><br />
<P STYLE="margin-bottom: 0in"><br />
canine weaponry in gaining the ad-</P><br />
<P STYLE="margin-bottom: 0in">the group at large; other more special-<br />
                                                    ture. New York:<br />
Doubleday.</P><br />
<P STYLE="margin-bottom: 0in"><br />
vantages of status. We highlight the</P><br />
<P STYLE="margin-bottom: 0in">ized signals may be directed to<br />
                                                    12 Smith EA,<br />
Bliege Bird R. 2000. Turtle hunting</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                    and tombstone<br />
opening: public generosity as</P><br />
<P STYLE="margin-bottom: 0in"><br />
fact that, at least among humans, both</P><br />
<P STYLE="margin-bottom: 0in">smaller subsets of the population. Sig-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    costly signaling.<br />
Evol Hum Behav 21:245–261.</P><br />
<P STYLE="margin-bottom: 0in"><br />
signaler and audience preference for</P><br />
<P STYLE="margin-bottom: 0in">nalers competing for popular prestige<br />
                                                    13 Sosis R. 2000.<br />
Costly signaling and torch ﬁsh-</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>more effective and competitive signals</P><br />
<P STYLE="margin-bottom: 0in">should seek to gain a larger and larger<br />
                                                    ing on Ifaluk<br />
Atoll. Evol Hum Behav 21:223–244.</P><br />
<P STYLE="margin-bottom: 0in"><br />
can drive the evolution of displays to-</P><br />
<P STYLE="margin-bottom: 0in">share of the advertising market. They<br />
                                                    14 Bliege Bird R.<br />
1999. Cooperation and conﬂict:</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    the behavioral<br />
ecology of the sexual division of</P><br />
<P STYLE="margin-bottom: 0in"><br />
ward increasing social beneﬁts. The</P><br />
<P STYLE="margin-bottom: 0in">gain a larger share by providing more</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                    labor. Evol<br />
Anthropol 8:65–75.</P><br />
<P STYLE="margin-bottom: 0in"><br />
hypothesis that men’s work evolved</P><br />
<P STYLE="margin-bottom: 0in">of what the viewers want to see or<br />
                                                    15 Bliege Bird R,<br />
Smith EA, Bird D. 2001. The</P><br />
<P STYLE="margin-bottom: 0in"><br />
and often continues to be shaped by</P><br />
<P STYLE="margin-bottom: 0in">consume than the competition pro-<br />
                                                    hunting handicap:<br />
costly signaling in human for-</P><br />
<P STYLE="margin-bottom: 0in"><br />
showing off does not imply that men</P><br />
<P STYLE="margin-bottom: 0in">vides.25 The provisioning of collective<br />
                                                    aging strategies.<br />
Behav Ecol Sociobiol, in press.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                    16 Bliege Bird R,<br />
Bird D. 2001. Gendered ﬁshing</P><br />
<P STYLE="margin-bottom: 0in"><br />
contribute little to subsistence. On the</P><br />
<P STYLE="margin-bottom: 0in">goods may serve the purpose of reach-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    among the Meriam:<br />
implications for sexual divi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
contrary, the showoff hypothesis and</P><br />
<P STYLE="margin-bottom: 0in">ing a wide audience better.37 Both<br />
                                                    sion of foraging<br />
labor, submitted.</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>costly signaling can help explain how</P><br />
<P STYLE="margin-bottom: 0in">competition among signalers and au-<br />
                                                    17 Zahavi A.<br />
1990. Arabian babblers: the quest</P><br />
<P STYLE="margin-bottom: 0in"><br />
individuals seeking competitive ad-</P><br />
<P STYLE="margin-bottom: 0in">dience preference for particular sig-<br />
                                                    for social status<br />
in a cooperative breeder. In:</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    Stacey PB, Koenig<br />
WD, editors. Cooperative</P><br />
<P STYLE="margin-bottom: 0in"><br />
vantages can increase their own</P><br />
<P STYLE="margin-bottom: 0in">nals can play a role in shaping the<br />
                                                    breeding in<br />
birds: long-term studies of ecology</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
standing and so earn preferential</P><br />
<P STYLE="margin-bottom: 0in">display.<br />
                                                    and behavior.<br />
Cambridge: Cambridge University</P><br />
<P STYLE="margin-bottom: 0in"><br />
treatment by acting in ways that sup-               Press. p 103–130.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    18 Zahavi A,<br />
Zahavi A. 1997. The handicap prin-</P><br />
<P STYLE="margin-bottom: 0in"><br />
ply highly valued beneﬁts to others.</P><br />
<P STYLE="margin-bottom: 0in">           CONCLUSIONS<br />
                                                    ciple: a missing<br />
piece of Darwin’s puzzle. Oxford:</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                    Oxford University<br />
Press.</P><br />
<P STYLE="margin-bottom: 0in">   Darwin84 developed the theory of</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    19 Veblen T.<br />
1992. The Theory of the Leisure</P><br />
<P STYLE="margin-bottom: 0in"><br />
         ACKNOWLEDGMENTS</P><br />
<P STYLE="margin-bottom: 0in">sexual selection to explain the evolu-<br />
                                                    Class. Mills CW,<br />
editor. New Brunswick, NJ:</P><br />
<P STYLE="margin-bottom: 0in">tion of armaments and ornaments,<br />
                                                    Transaction<br />
Publishers.</P><br />
<P STYLE="margin-bottom: 0in"><br />
   We thank Helen Alvarez, Douglas                  20 Kelly RL.<br />
1995. The foraging spectrum: diver-</P></p>
<p><P STYLE="margin-bottom: 0in">which seemed so extravagantly costly</P><br />
<P STYLE="margin-bottom: 0in"><br />
Bird, Nicholas Blurton Jones, Jack                  sity in<br />
hunter-gatherer lifeways. Washington:</P><br />
<P STYLE="margin-bottom: 0in">and remarkably wasteful, given an ex-<br />
                                                    Smithsonian<br />
Institution Press.</P><br />
<P STYLE="margin-bottom: 0in"><br />
Hirshleifer, James O’Connell, Mark</P><br />
<P STYLE="margin-bottom: 0in">pectation that natural selection would<br />
                                                    21 Hawkes K.<br />
1990. Why do men hunt? some</P><br />
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Irons W, editors. Adaptation and human be-</P><br />
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38:49 –78.  99 Dugatkin LA. 1997. Cooperation among ani-</P><br />
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Aldine De Gruyter. p 397– 416.</P><br />
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<P STYLE="margin-bottom: 0in">food sharing in a stochastic<br />
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            ing in mutualism. Anim Behav 34:1562–1584.</P><br />
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in the<br />
Venezuela: tests of reciprocity. Hum Ecol 28:</P><br />
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            models of animal cooperation: feeding bluejays</P><br />
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evolutionary ecology<br />
    171–214.</P><br />
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            cooperate mutualistically, but defect in a mas-</P><br />
<P STYLE="margin-bottom: 0in">of resource sharing and land tenure.<br />
In: Ingold T,<br />
                   &copy; 2002 Wiley-Liss, Inc.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
            sively iterated Prisoner’s Dilemma. Anim Behav</P><br />
<P STYLE="margin-bottom: 0in">Riches D, Woodburn J, editors. Hunter<br />
gatherers<br />
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            50:527–535.</P><br />
<P STYLE="margin-bottom: 0in">1: history, evolution, and social<br />
change. Oxford:<br />
           (www.interscience.wiley.com).</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>             DOI 10.1002/evan.20005</P><br />
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            102 Pusey AE, Packer C. 1997. The ecology of</P><br />
<P STYLE="margin-bottom: 0in">Berg. p 222–252.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
           Articles in Forthcoming Issues</P><br />
<P STYLE="margin-bottom: 0in">   • Crotchets &amp; Quiddities: Is<br />
the Medium the Message?</P><br />
<P STYLE="margin-bottom: 0in">      Kenneth M. Weiss</P><br />
<P STYLE="margin-bottom: 0in">   • What is Molecular Anthropology?<br />
What Can It Be?</P><br />
<P STYLE="margin-bottom: 0in">      Jonathan Marks</P></p>
<p><P STYLE="margin-bottom: 0in">   • Primate Evolutionary<br />
Developmental Biology</P><br />
<P STYLE="margin-bottom: 0in">      Chi-Hua Chiu and Mark W. Hamrick</P><br />
<P STYLE="margin-bottom: 0in">   • Eocene Primates From Myanmar</P><br />
<P STYLE="margin-bottom: 0in">      Russell Ciochon and Gregg Gunnell</P><br />
<P STYLE="margin-bottom: 0in">   • Forest People: The Role of<br />
African Rainforests in Human Evolution</P><br />
<P STYLE="margin-bottom: 0in">      and Dispersal</P></p>
<p><P STYLE="margin-bottom: 0in">      Julio Mercador</P><br />
<P STYLE="margin-bottom: 0in">   • Missing Links: Eugene Dubois and<br />
the Origins of Paleoanthropology</P><br />
<P STYLE="margin-bottom: 0in">                                 `</P><br />
<P STYLE="margin-bottom: 0in">      Pat Shipman and Paul Storm</P><br />
<P STYLE="margin-bottom: 0in">   • The Behavioral Ecology of the<br />
Spectral Tarsier, Tarsius spectrum</P><br />
<P STYLE="margin-bottom: 0in">      Sharon Gursky</P></p>
<p><P STYLE="margin-bottom: 0in">   • Primate Origins and Adaptations:<br />
A Multidisciplinary Perspective</P><br />
<P STYLE="margin-bottom: 0in">      Mary Silcox</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in"><BR><br />
</P><br />
<P STYLE="margin-bottom: 0in">11-2</P><br />
<P STYLE="margin-bottom: 0in">Behav Ecol Sociobiol (2001) 50:9–19</P><br />
<P STYLE="margin-bottom: 0in">DOI 10.1007/s002650100338</P><br />
<P STYLE="margin-bottom: 0in">  O R I G I N A L A RT I C L E</P></p>
<p><P STYLE="margin-bottom: 0in">Rebecca Bliege Bird &middot; Eric Alden<br />
Smith</P><br />
<P STYLE="margin-bottom: 0in">Douglas W. Bird</P><br />
<P STYLE="margin-bottom: 0in">The hunting handicap: costly signaling<br />
in human foraging strategies</P><br />
<P STYLE="margin-bottom: 0in">Received: 31 March 2000 / Revised: 10<br />
January 2001 / Accepted: 5 January 2001 / Published online: 31 March<br />
2001</P><br />
<P STYLE="margin-bottom: 0in">&copy; Springer-Verlag 2001</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           rates, provide widely shared goods without<br />
repayment,</P><br />
<P STYLE="margin-bottom: 0in">Abstract Humans sometimes forage or<br />
distribute the</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                           or incur an increased risk of injury.<br />
These decisions have</P><br />
<P STYLE="margin-bottom: 0in">products of foraging in ways that do<br />
not maximize indi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           often been explained by the benefits of a<br />
sexual division</P><br />
<P STYLE="margin-bottom: 0in">vidual energetic return rates. As an<br />
alternative to hypoth-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           of labor in parental investment (e.g.,<br />
Hurtado et al.</P><br />
<P STYLE="margin-bottom: 0in">eses that rely on reciprocal altruism<br />
to counter the costs</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           1992), the optimization of macronutrients<br />
(e.g., Hill</P></p>
<p><P STYLE="margin-bottom: 0in">of inefficiency, we suggest that the<br />
cost itself could be</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           1988), or reduction of consumption<br />
variance (e.g., Smith</P><br />
<P STYLE="margin-bottom: 0in">recouped through signal benefit. Costly<br />
signaling theory</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           1988). In particular, the practice common<br />
to many hunt-</P><br />
<P STYLE="margin-bottom: 0in">predicts that signals can provide<br />
fitness benefits when</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           er-gatherer societies of widespread or<br />
group-wide shar-</P><br />
<P STYLE="margin-bottom: 0in">costs are honestly linked to signaler<br />
quality, and this in-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                           ing of large prey captured by any subset<br />
of the group is</P><br />
<P STYLE="margin-bottom: 0in">formation is broadcast to potential<br />
mates and competi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           conventionally explained as a form of risk<br />
reduction</P><br />
<P STYLE="margin-bottom: 0in">tors. Here, we test some predictions of<br />
costly signaling</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           where all ultimately benefit from a<br />
reciprocal sharing</P><br />
<P STYLE="margin-bottom: 0in">theory against empirical data on human<br />
food acquisition</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           of unpredictable harvests (reviews in<br />
Hawkes 1992;</P></p>
<p><P STYLE="margin-bottom: 0in">and sharing patterns. We show that at<br />
least two types of</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           Winterhalder 1997).</P><br />
<P STYLE="margin-bottom: 0in">marine foraging, turtle hunting and<br />
spearfishing, as prac-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               While some types of food seem to be<br />
distributed in</P><br />
<P STYLE="margin-bottom: 0in">ticed among the Meriam (a Melanesian<br />
people of Torres</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           ways that conform to delayed reciprocity<br />
(Gurven et al.</P><br />
<P STYLE="margin-bottom: 0in">Strait, Australia) meet key criteria<br />
for costly signaling:</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                           2000), recent studies (Hawkes 1993; Bliege<br />
Bird and</P><br />
<P STYLE="margin-bottom: 0in">signal traits are (1) differentially<br />
costly or beneficial</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           Bird 1997) have challenged its ability to<br />
explain the</P><br />
<P STYLE="margin-bottom: 0in">in ways that are (2) honestly linked to<br />
signaler quality,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           wide variety of sharing patterns to which<br />
it has been</P><br />
<P STYLE="margin-bottom: 0in">and (3) designed to effectively<br />
broadcast the signal. We</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           claimed to apply. The cases that seem<br />
least congruent</P></p>
<p><P STYLE="margin-bottom: 0in">conclude that relatively inefficient<br />
hunting or sharing</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           with strategies of delayed reciprocity are<br />
those associat-</P><br />
<P STYLE="margin-bottom: 0in">choices may be maintained in a<br />
population if they serve</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           ed with public distributions of food in<br />
which the acquirer</P><br />
<P STYLE="margin-bottom: 0in">as costly and reliable signals designed<br />
to reveal the</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           does not control access to the harvest or<br />
its distribution,</P><br />
<P STYLE="margin-bottom: 0in">signaler’s qualities to observers.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                           and may not even reserve a portion for<br />
him- or herself</P><br />
<P STYLE="margin-bottom: 0in">Keywords Costly signaling &middot;<br />
Human behavioral ecology               (Wiessner 1996). Under these<br />
conditions, acquirers seem</P><br />
<P STYLE="margin-bottom: 0in">&middot; Hunting &middot; Handicap<br />
models                                        unlikely to be able to<br />
direct shares to reciprocators and</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           withhold them from free-riders, as is<br />
required to solve</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           the collective action problem (e.g.,<br />
prisoner&#8217;s dilemma)</P></p>
<p><P STYLE="margin-bottom: 0in">Introduction<br />
                           associated with enforcing delayed<br />
reciprocity. Similar</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           challenges to the primacy of reciprocal<br />
altruism (RA) on</P><br />
<P STYLE="margin-bottom: 0in">Human foragers often make decisions<br />
that lead them                 both theoretical and empirical fronts<br />
are also found in</P><br />
<P STYLE="margin-bottom: 0in">to bypass alternative activities with<br />
higher energy gain           recent literature on non-human behavior<br />
(reviews in</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           Dugatkin 1997; Pusey and Packer 1997).<br />
Many theorists</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           have suggested the paradigm may require<br />
extensive</P><br />
<P STYLE="margin-bottom: 0in">Communicated by M. Borgerhoff Mulder</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                           revisions (Clements and Stephens 1995;<br />
Connor 1996;</P><br />
<P STYLE="margin-bottom: 0in">R. Bliege Bird (✉) &middot; D.W. Bird<br />
                                    Dugatkin 1997; Roberts 1998).</P><br />
<P STYLE="margin-bottom: 0in">Department of Anthropology, 270 S. 1400<br />
E., University of Utah,        An alternative explanation for such<br />
“economically ir-</P><br />
<P STYLE="margin-bottom: 0in">Salt Lake City, UT 84112, USA</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           rational” decisions is that under some<br />
circumstances they</P><br />
<P STYLE="margin-bottom: 0in">e-mail: r.bird@mindspring.com</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           could serve as an honest signal of one or<br />
more dimen-</P></p>
<p><P STYLE="margin-bottom: 0in">Tel.: +1-801-5814494, Fax:<br />
+1-801-5816252</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           sions of fitness-related quality (Neiman<br />
1998; Boone</P><br />
<P STYLE="margin-bottom: 0in">E.A. Smith</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           1998; Sosis 2000; Smith and Bliege Bird<br />
2000). Costly</P><br />
<P STYLE="margin-bottom: 0in">Department of Anthropology, University<br />
of Washington,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           signaling theory (CST) provides a powerful<br />
framework</P><br />
<P STYLE="margin-bottom: 0in">Seattle, WA 98195, USA</P></p>
<p><P STYLE="margin-bottom: 0in">10</P><br />
<P STYLE="margin-bottom: 0in">for explaining two paradoxical<br />
observations: the persis-     successful turtle hunters signal<br />
strength, risk-taking, and</P><br />
<P STYLE="margin-bottom: 0in">tence of wasteful phenotypes when<br />
natural selection is       (in the case of hunt leaders) a variety of<br />
cognitive and</P><br />
<P STYLE="margin-bottom: 0in">assumed to create greater efficiency,<br />
and the evolution of   leadership abilities to potential allies,<br />
mates, and com-</P><br />
<P STYLE="margin-bottom: 0in">honest communication despite the<br />
pervasive conflicts of      petitors.</P><br />
<P STYLE="margin-bottom: 0in">interest underlying evolutionary<br />
processes (Zahavi 1975,</P><br />
<P STYLE="margin-bottom: 0in">1977; Grafen 1990; Johnstone 1995,<br />
1997; Getty 1998).</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     Methods</P></p>
<p><P STYLE="margin-bottom: 0in">CST proposes that communication between<br />
individuals</P><br />
<P STYLE="margin-bottom: 0in">with conflicting interests can be<br />
evolutionarily stable if</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     Mer (a.k.a. Murray Island) is a small (1.6&times;2.2<br />
km) island on the</P><br />
<P STYLE="margin-bottom: 0in">the signal honestly advertises an<br />
underlying quality of      northern end of the Great Barrier Reef,<br />
140 km from New Guinea</P><br />
<P STYLE="margin-bottom: 0in">interest to observers. Advertising is<br />
kept honest and thus   in Australia&#8217;s Torres Strait. The island&#8217;s<br />
current population is 430</P><br />
<P STYLE="margin-bottom: 0in">mutually beneficial to both signaler<br />
and observer as long    individuals of Torres Strait Islander<br />
descent, scattered in approxi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     mately 85 households. The Torres Strait as a<br />
whole is adminis-</P></p>
<p><P STYLE="margin-bottom: 0in">as the cost or benefit of advertisement<br />
is so closely tied</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     tered by the State of Queensland and the<br />
Commonwealth of</P><br />
<P STYLE="margin-bottom: 0in">to the quality of the signaler that<br />
faking it costs more</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     Australia.</P><br />
<P STYLE="margin-bottom: 0in">than the signal is worth. If this<br />
holds, the correlation be-     Prior to about 1975, when Australian<br />
welfare payments were</P><br />
<P STYLE="margin-bottom: 0in">tween the quality of a signaler and the<br />
quality or intensi-  first made available to all indigenous<br />
Australians, the Meriam</P><br />
<P STYLE="margin-bottom: 0in">ty of the signal will be maintained by<br />
differences in mar-   were nearly full-time subsistence<br />
horticulturalists and marine for-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     agers planting tropical yams, bananas, sugar<br />
cane, and introduced</P></p>
<p><P STYLE="margin-bottom: 0in">ginal cost or benefit, allowing<br />
recipients to reliably dis-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     new world crops such as manioc, sweet potatoes,<br />
and corn, and</P><br />
<P STYLE="margin-bottom: 0in">criminate among competing signalers.<br />
When these con-         harvesting marine fish, shellfish, and sea<br />
turtles. Today, fishing</P><br />
<P STYLE="margin-bottom: 0in">ditions are met, honest signals and<br />
reliable communica-      and shellfish collecting remain a critical<br />
component of Meriam</P><br />
<P STYLE="margin-bottom: 0in">tion will be evolutionarily stable,<br />
even when signaler and   subsistence economy: mean per capita<br />
after-sharing consumption</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     rates average 630 kcal of meat and 40 g of<br />
protein. More than 80%</P><br />
<P STYLE="margin-bottom: 0in">recipient are antagonists or<br />
competitors.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     of these calories are supplied by turtle when in<br />
season. For addi-</P></p>
<p><P STYLE="margin-bottom: 0in">    The hypothesis that hunting might<br />
serve as a form of     tional ethnographic description and previous<br />
work among the</P><br />
<P STYLE="margin-bottom: 0in">status competition among men interested<br />
in “showing          Meriam, see Haddon (1906), Beckett (1988),<br />
Sharp (1993), Bliege</P><br />
<P STYLE="margin-bottom: 0in">off” to a public audience is not new<br />
(Hawkes 1990,           Bird et al. (1995), Bird and Bliege Bird<br />
(1997, 2000), Bliege Bird</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     and Bird (1997), and Smith and Bliege Bird<br />
(2000).</P><br />
<P STYLE="margin-bottom: 0in">1991). Here, we recast the “show-off”<br />
model using a</P><br />
<P STYLE="margin-bottom: 0in"><br />
                         Observations of Meriam foraging choices,<br />
time allocation, and</P><br />
<P STYLE="margin-bottom: 0in">payoff structure compatible with CST<br />
(Smith and Bliege</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                     food-sharing strategies reported here were<br />
conducted over several</P><br />
<P STYLE="margin-bottom: 0in">Bird 2000). We propose that individuals<br />
of high pheno-       periods totaling 27 months between January 1993<br />
and July 1999.</P><br />
<P STYLE="margin-bottom: 0in">typic quality might reap higher<br />
benefits or pay lower        Much of this field research was<br />
specifically designed to test hy-</P><br />
<P STYLE="margin-bottom: 0in">costs to acquire skill-based resources<br />
or to uncondition-    potheses related to the origin and maintenance<br />
of the human sexu-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     al division of labor, and to determine the<br />
nature of the tradeoffs af-</P><br />
<P STYLE="margin-bottom: 0in">ally share their harvest. These<br />
benefits (material, politi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     fecting men&#8217;s and women&#8217;s foraging decisions.</P></p>
<p><P STYLE="margin-bottom: 0in">cal, and reproductive) flow from<br />
observers who find it in        Time allocation to intertidal<br />
activities (spearfishing, shellfish</P><br />
<P STYLE="margin-bottom: 0in">their interest to behave in ways that<br />
improve the relative   collecting) was measured through focal<br />
individual follows occur-</P><br />
<P STYLE="margin-bottom: 0in">advantage, status, or social dominance<br />
of signalers, ulti-   ring during randomly selected days during the<br />
spring ebbing tide.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     Locations along the foreshore were observed from<br />
the midpoint of</P><br />
<P STYLE="margin-bottom: 0in">mately enhancing signaler fitness.<br />
Analyzed according to</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     the ebbing tide, before the reef was fully<br />
exposed, for at least 2 h</P><br />
<P STYLE="margin-bottom: 0in">CST, this is not delayed reciprocity<br />
involving an ex-        or until the last forager had left the reef.<br />
During the intertidal sam-</P><br />
<P STYLE="margin-bottom: 0in">change of substance (to the observer)<br />
for social status (to  pling period, we recorded the moment-by-moment<br />
behavior of at</P></p>
<p><P STYLE="margin-bottom: 0in">the signaler), but rather a form of<br />
by-product mutualism.    least one individual to arrive during the<br />
sample, and if the individ-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     ual remained after the interval ended, we<br />
remained to completely</P><br />
<P STYLE="margin-bottom: 0in">The payoff to the observer comes from<br />
the usefulness of</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     record the episode. We observed the reef flat<br />
habitat for a total of</P><br />
<P STYLE="margin-bottom: 0in">the information inferred from the<br />
signal: he or she</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     118.5 h over 41 spring ebb-tide days, recording<br />
338.1 forager-</P><br />
<P STYLE="margin-bottom: 0in">should be able to evaluate the<br />
signaler&#8217;s suitability as a   hours of subsistence activity in 210<br />
partial and full foraging fol-</P></p>
<p><P STYLE="margin-bottom: 0in">competitor, mate, or ally by attending<br />
to the signal rather  lows of 94 men, women, and children entering<br />
the reef flat. We</P><br />
<P STYLE="margin-bottom: 0in">than through more costly or unreliable<br />
means of assess-      then analyzed the percentage of total foraging<br />
time each forager</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     devoted to all potential intertidal activities<br />
during the follow.</P><br />
<P STYLE="margin-bottom: 0in">ing the signaler&#8217;s abilities or hidden<br />
qualities. The high</P><br />
<P STYLE="margin-bottom: 0in"><br />
                         We analyzed the reef as a bounded habitat<br />
within which there</P><br />
<P STYLE="margin-bottom: 0in">cost or low benefit of faking the<br />
signal guarantees that     are “hunt types” sensu Smith (1991).<br />
All hunt types are simulta-</P><br />
<P STYLE="margin-bottom: 0in">signalers will not engage in false<br />
advertising, and that     neously available options within the<br />
ecological habitat “reef flat at</P><br />
<P STYLE="margin-bottom: 0in">observers will pay attention. Costly<br />
signaling can thus      low tide”: reef flat collecting, rocky<br />
shore harvesting, and spear-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                     fishing (Bird and Bliege Bird 1997, 2000). Reef<br />
flat collecting in-</P><br />
<P STYLE="margin-bottom: 0in">spread (by natural selection or<br />
imitation) because of its</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     volves mobile search of shellfish, with in situ<br />
processing to in-</P><br />
<P STYLE="margin-bottom: 0in">mutual benefits to both signalers and<br />
observers.             crease the utility of the load (Bird and<br />
Bliege Bird 1997). Spear-</P><br />
<P STYLE="margin-bottom: 0in">    Here, we test the costly signaling<br />
hypothesis among      fishing involves search and travel across the<br />
reef looking for en-</P><br />
<P STYLE="margin-bottom: 0in">the Meriam (a Melanesian people of<br />
Torres Strait, Aus-       counters with mobile prey (small fish and<br />
squid 250 g+) to the ex-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     clusion of all other prey; when prey are<br />
detected, the hunter stalks</P></p>
<p><P STYLE="margin-bottom: 0in">tralia). We evaluate two candidate<br />
foraging activities</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     the prey and launches his spear from a distance.<br />
Both hunt types</P><br />
<P STYLE="margin-bottom: 0in">(spearfishing on the reef at low tide,<br />
and hunting turtle</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     occur in the same patch during the same period<br />
of time, while the</P><br />
<P STYLE="margin-bottom: 0in">for public feasts), to determine<br />
whether these hunt types    reef is exposed at low tide. The hunt<br />
types vary in how spatially</P><br />
<P STYLE="margin-bottom: 0in">meet key criteria for costly signaling<br />
in being (1) differ-  exclusive they are within the habitat:<br />
spearfishing and shellfish</P><br />
<P STYLE="margin-bottom: 0in">entially costly or beneficial in ways<br />
that are (2) honestly  collecting are the only two major hunt types<br />
in which the forager</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     engaged in exclusive search for prey frequently<br />
encounters and ig-</P></p>
<p><P STYLE="margin-bottom: 0in">linked to signaler quality, and (3)<br />
designed to effectively</P><br />
<P STYLE="margin-bottom: 0in"><br />
                     nores prey in the other hunt type. These are not<br />
the complete com-</P><br />
<P STYLE="margin-bottom: 0in">broadcast the signal to the intended<br />
audience. We pro-       plement of hunt types simultaneously<br />
available, but they are the</P><br />
<P STYLE="margin-bottom: 0in">pose that accomplished spearfishers<br />
signal such qualities    three in which adults spend more than 90% of<br />
their foraging time</P><br />
<P STYLE="margin-bottom: 0in">as hand-eye coordination, stealth, and<br />
patience, while       while on the reef at low tide. Other minor hunt<br />
types are handline</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                            11</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              turtle shares are distributed in large,<br />
uncooked portions (10–11 kg)</P></p>
<p><P STYLE="margin-bottom: 0in">fishing from the reef edge and in<br />
deeper lagoons, netting sardines,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              of meat, fat, organs, and eggs among<br />
nearby households, with the</P><br />
<P STYLE="margin-bottom: 0in">hunting octopus, and diving from the<br />
reef edge to take underwater</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              size of portions kept by the butchering<br />
household determined pri-</P><br />
<P STYLE="margin-bottom: 0in">prey by hand. Gross foraging return<br />
rates for each hunt type (not</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              marily by the number of demanders<br />
(hereafter termed “household</P><br />
<P STYLE="margin-bottom: 0in">including energetic expenditure –<br />
assumed to be roughly equal for</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                              consumption” sensu Bliege Bird and<br />
Bird 1997). While hunting a</P><br />
<P STYLE="margin-bottom: 0in">all reef hunt types) were calculated<br />
from the moment an individual</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              turtle is a costly activity in which<br />
the benefit is acquired through</P><br />
<P STYLE="margin-bottom: 0in">stepped onto the exposed reef and began<br />
to engage in targeted</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              the social value of the hunt,<br />
collecting a turtle is an activity which</P><br />
<P STYLE="margin-bottom: 0in">search for particular prey types. The<br />
macronutrient content of fin-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              has little signaling potential and in<br />
which the benefit is primarily</P></p>
<p><P STYLE="margin-bottom: 0in">fish and shellfish was obtained through<br />
published sources and</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              nutritional. However, there may be some<br />
signal value of displays</P><br />
<P STYLE="margin-bottom: 0in">through individual analysis of samples<br />
collected on Mer (Hirth</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              of generosity among neighbors as turtle<br />
portions are shared ac-</P><br />
<P STYLE="margin-bottom: 0in">1971; Sidwell 1981; Brand Miller et al.<br />
1993).</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              cording to the Meriam ethic of debe<br />
tonar (“the good way,” which</P><br />
<P STYLE="margin-bottom: 0in">    For a detailed description of<br />
methods used to collect turtle</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                              involves sharing without expectation of<br />
return).</P><br />
<P STYLE="margin-bottom: 0in">hunting and sharing data see Bliege<br />
Bird and Bird (1997); the re-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                  All statistical analyses were<br />
performed using Statview (SAS).</P><br />
<P STYLE="margin-bottom: 0in">sults presented here on turtle hunting<br />
and sharing are a reanalysis</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              Large-sample means tests were performed<br />
after testing for normal-</P><br />
<P STYLE="margin-bottom: 0in">of those data. The acquisition of over<br />
120 turtles was noted</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              ity and equality of variance using<br />
either one- or two-tailed t-tests</P></p>
<p><P STYLE="margin-bottom: 0in">through daily sampling of the entire<br />
village during the nesting sea-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              depending upon the prediction tested,<br />
while tests on small samples</P><br />
<P STYLE="margin-bottom: 0in">son (October–April) in 1994–1995,<br />
and ad lib sampling of the vil-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              and those violating the assumptions of<br />
parametric tests used two-</P><br />
<P STYLE="margin-bottom: 0in">lage during the 1994 and 1998 hunting<br />
seasons (May–September).</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              tailed Mann-Whitney U-tests. All means<br />
are reported with associ-</P><br />
<P STYLE="margin-bottom: 0in">Nearly every successful hunt or<br />
collection of turtle was recorded,</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                              ated SEs.</P><br />
<P STYLE="margin-bottom: 0in">with information obtained on<br />
acquirer(s), place acquired, method</P><br />
<P STYLE="margin-bottom: 0in">of acquisition, and subsequent<br />
distribution though informant inter-</P><br />
<P STYLE="margin-bottom: 0in">view.</P><br />
<P STYLE="margin-bottom: 0in">    There are two primary types of<br />
marine turtle acquisition on</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              Results</P><br />
<P STYLE="margin-bottom: 0in">Mer: turtle hunting (nam deraimer) and<br />
turtle collection (nam ter-</P></p>
<p><P STYLE="margin-bottom: 0in">pei). Turtle hunting occurs throughout<br />
the year, but is the only</P><br />
<P STYLE="margin-bottom: 0in">way to acquire turtles between May and<br />
September (Kob Kerker),        Spearfishing as costly signal</P><br />
<P STYLE="margin-bottom: 0in">when green turtles (Chelonia mydas)<br />
feed and mate on shallow</P><br />
<P STYLE="margin-bottom: 0in">reefs about 16–20 km from Mer. Field<br />
observations indicate that</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              There are significant sex differences<br />
in time allocation to</P><br />
<P STYLE="margin-bottom: 0in">turtles captured on hunts range from<br />
100 to 150 kg live weight,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              hunt types in the intertidal: on<br />
average, men spend 63%</P><br />
<P STYLE="margin-bottom: 0in">with an average edible yield of 50.1 kg<br />
(Bliege Bird and Bird</P></p>
<p><P STYLE="margin-bottom: 0in">1997). Hunters head out to the hunting<br />
grounds in open boats          of their reef foraging time spearing,<br />
while for women</P><br />
<P STYLE="margin-bottom: 0in">powered with outboard motors, often in<br />
cooperation with at least      this value is only 9% (t=6.00, df=66,<br />
P=0.001), and</P><br />
<P STYLE="margin-bottom: 0in">one other hunting boat. Among Meriam<br />
turtle hunters, there are</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              women spend 76% and men 31% of their<br />
time shellfish</P><br />
<P STYLE="margin-bottom: 0in">three distinct roles: hunt leader<br />
(ariemer-le), jumper (arpeir-le),</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              collecting (t=4.50, df=66, P=0.001).<br />
The majority of</P><br />
<P STYLE="margin-bottom: 0in">and driver, or tiller-man (korizer-le).<br />
Hunt leaders organize and di-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              men never collect shellfish at all, nor<br />
do they combine</P></p>
<p><P STYLE="margin-bottom: 0in">rect the hunt; there is always only one<br />
leader per hunt, regardless</P><br />
<P STYLE="margin-bottom: 0in">of crew size. Hunt leaders bear the<br />
cost of organizing the hunt and   spearing with shellfish collecting<br />
in a single visit to the</P><br />
<P STYLE="margin-bottom: 0in">ensuring boats and fuel to spare. They<br />
direct the crew to particular</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              reef at low tide: 78.6% of 21 men in<br />
the time allocation</P><br />
<P STYLE="margin-bottom: 0in">locations, decide whether prey<br />
encountered is worth pursuing,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              sample spent all of their foraging time<br />
spearfishing.</P><br />
<P STYLE="margin-bottom: 0in">orchestrate the chase, and direct<br />
jumpers when to jump from the</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                  Is spearfishing a signal? The<br />
decision men make to</P></p>
<p><P STYLE="margin-bottom: 0in">boat to secure the turtle. Hunt leaders<br />
are invested with public</P><br />
<P STYLE="margin-bottom: 0in">recognition and receive full credit for<br />
the kill regardless of        spear fish nearly exclusively (rather<br />
than collect shell-</P><br />
<P STYLE="margin-bottom: 0in">whether or not they directly<br />
participate in capture.                  fish) violates simple<br />
energy-maximizing prey choice</P><br />
<P STYLE="margin-bottom: 0in">    The hunt proceeds as follows. While<br />
one man drives, the rest</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              models, because (1) on average,<br />
continuing to search for</P><br />
<P STYLE="margin-bottom: 0in">of the crew stands toward the bow<br />
scanning the reef for signs of</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              fish to spear (292&plusmn;135 kcal/h,<br />
n=26) offers lower overall</P></p>
<p><P STYLE="margin-bottom: 0in">turtle. The hunt leader directs the<br />
driver and coordinates with</P><br />
<P STYLE="margin-bottom: 0in">crews in other boats if present. When a<br />
turtle is spotted, the hunt   energy returns than shellfishing<br />
(1,492&plusmn;173 kcal/h,</P><br />
<P STYLE="margin-bottom: 0in">leader makes a decision whether to<br />
pursue it based on its size        n=47) while in the reef flat at<br />
low tide (t=4.672, df=71,</P><br />
<P STYLE="margin-bottom: 0in">(large turtles have more meat) and sex<br />
(female turtles have more</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              P=0.0001) and (2) on-encounter returns<br />
for the most</P><br />
<P STYLE="margin-bottom: 0in">fat). The boat(s) then give chase,<br />
keeping the turtle away from the</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              skilled spearfisher (2,505&plusmn;778<br />
kcal/h) are equivalent to</P></p>
<p><P STYLE="margin-bottom: 0in">reef edge. When the turtle tires, the<br />
hunt leader usually directs his</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              the on-encounter returns for the<br />
lowest-ranked shellfish</P><br />
<P STYLE="margin-bottom: 0in">jumper to launch himself from the bow<br />
of the boat with a rope at-</P><br />
<P STYLE="margin-bottom: 0in">tached to his upper arm. The jumper<br />
then attempts to secure the       prey still in the optimal diet<br />
breadth (2,214&plusmn;414 kcal/h)</P><br />
<P STYLE="margin-bottom: 0in">turtle by locking his arms around the<br />
flippers and, if successful,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              (see Table 1).</P><br />
<P STYLE="margin-bottom: 0in">the crew then pulls him and the turtle<br />
on board.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                  One explanation for this pattern<br />
might be that spear-</P><br />
<P STYLE="margin-bottom: 0in">    Turtle hunting occurs primarily in<br />
the context of public feast-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              fishers are not maximizing calories,<br />
but other macronu-</P><br />
<P STYLE="margin-bottom: 0in">ing events: hunters choose to hunt in<br />
response to a request from</P><br />
<P STYLE="margin-bottom: 0in">feast organizers to provide turtles for<br />
consumption at a previously   trients. But this appears not to be the<br />
case: protein return</P><br />
<P STYLE="margin-bottom: 0in">announced feast. The biggest and most<br />
elaborate Meriam feasts         rates from shellfish collecting at<br />
284&plusmn;31 g/h are higher</P><br />
<P STYLE="margin-bottom: 0in">occur in the context of coming-of-age<br />
celebrations and funeral</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                              than from spearfishing at 6.6&plusmn;2.9<br />
g/h (t=6.78, df=68,</P><br />
<P STYLE="margin-bottom: 0in">ceremonies (see Smith and Bliege Bird<br />
2000 for further details).</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              P=0.0001). Fat return rates are also<br />
higher for shellfish</P><br />
<P STYLE="margin-bottom: 0in">In contrast to turtle hunting, turtles<br />
are also collected (n=88</P><br />
<P STYLE="margin-bottom: 0in">events), primarily in the context of<br />
household provisioning, but      collecting at 22&plusmn;3 g/h than<br />
for spearfishing at 1.6&plusmn;</P><br />
<P STYLE="margin-bottom: 0in">also for feasts, by men of all ages,<br />
women, and children. This oc-    0.7 g/h (t=4.808, df=68, P=0.0001).</P><br />
<P STYLE="margin-bottom: 0in">curs only when they can be harvested on<br />
beaches during the nest-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                  Another possibility is that<br />
spearfishers prefer other</P><br />
<P STYLE="margin-bottom: 0in">ing season (Nam Kerker: October–April),<br />
although during these</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              benefits supplied by reef fish: they<br />
may be more valu-</P><br />
<P STYLE="margin-bottom: 0in">months some turtles are also hunted on<br />
nearby reefs. In the nesting</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              able as trade goods than shellfish<br />
prey. But this seems</P><br />
<P STYLE="margin-bottom: 0in">season, turtles are collected at night<br />
or during the early morning</P><br />
<P STYLE="margin-bottom: 0in">hours as they crawl onto sandy beaches<br />
above the mean high wa-        unlikely: shellfish collecting<br />
produces larger harvests</P></p>
<p><P STYLE="margin-bottom: 0in">ter mark to lay their eggs. Turtles are<br />
acquired by flipping them</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              (1,962&plusmn;247 g, n=44) than<br />
spearing (356&plusmn;100 g, n=26)</P><br />
<P STYLE="margin-bottom: 0in">onto their backs, trussing their<br />
flippers with ropes, and hauling</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              (t=24.857, df=68, P=0.0001). Shellfish<br />
prey are also</P><br />
<P STYLE="margin-bottom: 0in">them by boat back to the acquirer’s<br />
household where they are kept</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              more likely to be shared: following a<br />
harvest of shellfish,</P></p>
<p><P STYLE="margin-bottom: 0in">alive until butchered. When butchered<br />
for “private” consumption,</P><br />
<P STYLE="margin-bottom: 0in">12</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              Encounter return rates for all prey<br />
types include time spent han-</P><br />
<P STYLE="margin-bottom: 0in">Table 1 Mean&plusmn;SE return rates and<br />
mean time allocated to inter-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              dling (pursuit and processing) the item<br />
while in the foraging habi-</P><br />
<P STYLE="margin-bottom: 0in">tidal hunt types by Meriam men and<br />
women. On-encounter returns</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              tat: no cooking times are included<br />
since cooking methods for each</P></p>
<p><P STYLE="margin-bottom: 0in">for each prey type are calculated from<br />
the moment a forager com-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              item can vary from minutes to hours<br />
depending upon the dish pre-</P><br />
<P STYLE="margin-bottom: 0in">mitted to pursuing a particular<br />
individual prey item. For shellfish,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              pared. Mean time allocation per person<br />
shows the mean percent-</P><br />
<P STYLE="margin-bottom: 0in">pursuits begin when a forager bends<br />
down to pick up the item; for</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              age of total “reef habitat at low<br />
tide” time devoted to each hunt</P><br />
<P STYLE="margin-bottom: 0in">spearing, pursuits begin when a forager<br />
spots the signs of prey and</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                              type averaged for each of 19 women and<br />
21 men observed more</P><br />
<P STYLE="margin-bottom: 0in">drops into a stalk stance to pursue it;<br />
for rocky shore harvesting,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              than once on the reef during the random<br />
time allocation scans</P><br />
<P STYLE="margin-bottom: 0in">encounters are defined as the moment a<br />
productive patch is found.</P><br />
<P STYLE="margin-bottom: 0in"><br />
           Reef collecting                       Reef spearing<br />
       Rocky shore</P><br />
<P STYLE="margin-bottom: 0in">On-encounter returns (kcal/h) by prey<br />
type         Tridacna gigas: 13,064&plusmn;4750           All fish:<br />
2,505&plusmn;778         Nerita: 1,106&plusmn;465</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
           Hippopus: 6,859&plusmn;464<br />
              Asaphis: 455&plusmn;52</P><br />
<P STYLE="margin-bottom: 0in"><br />
           Tridacna maxima: 4,418&plusmn;708</P><br />
<P STYLE="margin-bottom: 0in"><br />
           Trochus: 3,904&plusmn;467</P><br />
<P STYLE="margin-bottom: 0in"><br />
           Lambis: 3,412&plusmn;205</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
           Cypraea: 2,214&plusmn;414</P><br />
<P STYLE="margin-bottom: 0in">Hunt type returns by macronutrient</P><br />
<P STYLE="margin-bottom: 0in">kcal/h<br />
           1,492&plusmn;173                             292&plusmn;135<br />
                    575&plusmn;56</P><br />
<P STYLE="margin-bottom: 0in">Protein (g/h)<br />
           284&plusmn;31                                6.6&plusmn;2.9<br />
                    88&plusmn;9</P><br />
<P STYLE="margin-bottom: 0in">Fat (g/h)<br />
           22&plusmn;3                                  1.6&plusmn;.7<br />
                     9&plusmn;.95</P></p>
<p><P STYLE="margin-bottom: 0in">Mean time allocation</P><br />
<P STYLE="margin-bottom: 0in">19 Women<br />
           0.76&plusmn;0.07                             0.09&plusmn;0.05<br />
                  0.14&plusmn;0.05</P><br />
<P STYLE="margin-bottom: 0in">21 Men<br />
           0.31&plusmn;0.07                             0.63&plusmn;.08<br />
                   0.04&plusmn;0.03</P><br />
<P STYLE="margin-bottom: 0in">on average 22% of the take is shared to<br />
another house-                through cooperative gender<br />
specialization in macronutri-</P><br />
<P STYLE="margin-bottom: 0in">hold, while only 7.5% of a spearing<br />
harvest is shared.                ent harvesting, nor through<br />
reciprocal sharing. We pro-</P><br />
<P STYLE="margin-bottom: 0in">    Finally, could choosing to spear<br />
fish instead of col-             pose that the benefits of<br />
spearfishing are gained through</P></p>
<p><P STYLE="margin-bottom: 0in">lecting shellfish as women do provide<br />
greater consump-                the honest signal value of acquiring<br />
the prey rather than</P><br />
<P STYLE="margin-bottom: 0in">tion benefits in the long-term? The<br />
short-term costs are              through consumption, and that<br />
honesty is maintained</P><br />
<P STYLE="margin-bottom: 0in">inescapable: while women maximize their<br />
patch returns                 through differential benefits: men of<br />
higher phenotypic</P><br />
<P STYLE="margin-bottom: 0in">and the size of their meat harvests by<br />
stopping to take               quality benefit more than<br />
lower-quality individuals</P><br />
<P STYLE="margin-bottom: 0in">shellfish when encountered on the reef,<br />
male spearfishers             because they can signal more intensely<br />
each time they</P><br />
<P STYLE="margin-bottom: 0in">take a large cut in protein, fat, and<br />
energy income by                signal.</P><br />
<P STYLE="margin-bottom: 0in">ignoring shellfish and continuing to<br />
search for fish to</P><br />
<P STYLE="margin-bottom: 0in">spear. There could be long-term<br />
benefits of such special-</P><br />
<P STYLE="margin-bottom: 0in">ization if by dividing labor and<br />
pooling harvests, male               Prediction 1: men who signal<br />
more frequently</P></p>
<p><P STYLE="margin-bottom: 0in">spearfishers and female shellfish<br />
collectors maintain                 obtain greater benefits</P><br />
<P STYLE="margin-bottom: 0in">long-term shellfishing productivity on<br />
the reef. This</P><br />
<P STYLE="margin-bottom: 0in">could happen if the cooperative pooling<br />
unit (the house-              If spearfishing is a competitive<br />
display, signalers should</P><br />
<P STYLE="margin-bottom: 0in">hold) defended a reef territory,<br />
excluding other pooling              reap social benefits associated<br />
with more frequent spear-</P><br />
<P STYLE="margin-bottom: 0in">units from foraging so that the future<br />
benefits of conser-            fishing, such as the benefits from<br />
gaining status through</P><br />
<P STYLE="margin-bottom: 0in">vation could be realized. But they do<br />
not: while reef ter-            building a reputation as a skilled<br />
spearfisher. In inter-</P><br />
<P STYLE="margin-bottom: 0in">ritories are owned, the group sharing<br />
use-rights to sec-              views with 33 Meriam men and women,<br />
none would</P><br />
<P STYLE="margin-bottom: 0in">tions of reef is not equivalent to the<br />
pooling unit. Sec-             nominate a slate of “the best<br />
shellfish collectors,” claim-</P><br />
<P STYLE="margin-bottom: 0in">tions of reef are considered extensions<br />
of residential                ing that “being better than others”<br />
(i.e., getting larger</P></p>
<p><P STYLE="margin-bottom: 0in">plots: use-rights to residential plots<br />
are shared by all              harvests) depends solely on working<br />
long hours, not on</P><br />
<P STYLE="margin-bottom: 0in">members of a patriline. Only bounded<br />
clam gardens                     qualities intrinsic to the forager,<br />
and most nominated the</P><br />
<P STYLE="margin-bottom: 0in">within reef territories are excludable<br />
and defendable by              most frequently observed woman on the<br />
reef as “hardest-</P><br />
<P STYLE="margin-bottom: 0in">single households, and these gardens<br />
are approximately                working shellfish collector.”<br />
Across individuals, shell-</P><br />
<P STYLE="margin-bottom: 0in">2–4 m in diameter, not large enough<br />
to permit spearfish-              fish-collecting harvest sizes are<br />
strongly contingent upon</P><br />
<P STYLE="margin-bottom: 0in">ing. Any gains in long-term shellfish<br />
productivity would              foraging time, whereas spearfishing<br />
harvest sizes are not</P><br />
<P STYLE="margin-bottom: 0in">have to be shared by the entire<br />
patriline, and all men                (Fig. 1). All interviewees were<br />
willing to nominate a</P><br />
<P STYLE="margin-bottom: 0in">within the patriline would have to<br />
forgo shellfish collect-           slate of “the best<br />
spearfishers.” Because there was little</P><br />
<P STYLE="margin-bottom: 0in">ing, which is unlikely since men do<br />
vary in the extent to             variance in signal frequency among<br />
the majority of men</P></p>
<p><P STYLE="margin-bottom: 0in">which they collect shellfish. We cannot<br />
definitively ex-              observed on the reef, we divided the<br />
signalers into the</P><br />
<P STYLE="margin-bottom: 0in">clude this possibility, only note that<br />
it seems unlikely.             most frequent (1 man with 10 observed<br />
bouts) and the</P><br />
<P STYLE="margin-bottom: 0in">    Spearfishers interested in<br />
maximizing return rates                least frequent (14 men with 19<br />
bouts total). The most</P><br />
<P STYLE="margin-bottom: 0in">should not ignore shellfish while<br />
foraging on the reef,               frequent signaler obtained 23 out<br />
of 61 (37.7%) total</P><br />
<P STYLE="margin-bottom: 0in">but most of them do. The costs of<br />
choosing to spear fish              nominations by the 32 respondents<br />
(who nominated as</P><br />
<P STYLE="margin-bottom: 0in">do not appear to be balanced by<br />
benefits received                     many as three individuals).<br />
More than 75% of respon-</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                    13</P><br />
<P STYLE="margin-bottom: 0in">Fig. 1 Relationship between harvest<br />
size and bout length for           nal elements contained in<br />
spearfishing are subtle and dif-</P></p>
<p><P STYLE="margin-bottom: 0in">spearfishing (A) and shellfish<br />
collecting (B). Foragers can predict-   ficult to observe. Yet<br />
reputations are still built in the ab-</P><br />
<P STYLE="margin-bottom: 0in">ably expect larger harvests with longer<br />
foraging time in shellfish</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               sence of any overt boasting or<br />
tale-telling on the part of</P><br />
<P STYLE="margin-bottom: 0in">collecting but not spearfishing. Each<br />
point represents one random-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               the forager himself, who when<br />
successful, displays the</P><br />
<P STYLE="margin-bottom: 0in">ly selected, fully observed bout, with<br />
the open circle representing</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               typical behavior of a male solitary<br />
hunter: he returns</P></p>
<p><P STYLE="margin-bottom: 0in">the most active individual. Episodes<br />
are distributed throughout the</P><br />
<P STYLE="margin-bottom: 0in">tidal season of 1994. A Linear<br />
regression with 95% confidence in-      home carrying his catch<br />
quietly, albeit very visibly. The</P><br />
<P STYLE="margin-bottom: 0in">tervals for mean harvest size in kcal<br />
(y) on reef patch foraging</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               signal elements incorporated in<br />
spearfishing are con-</P><br />
<P STYLE="margin-bottom: 0in">time in minutes (x). Harvest<br />
size=155+2x; r2=0.074, P=0.1990.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               veyed to observers in three distinct<br />
ways. (1) Reef activi-</P><br />
<P STYLE="margin-bottom: 0in">B The same regression for mean reef<br />
shellfishing (female foragers</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               ties are highly visible to a large<br />
section of the village</P></p>
<p><P STYLE="margin-bottom: 0in">only) harvest size in kcal (y) on reef<br />
flat collecting time in minutes</P><br />
<P STYLE="margin-bottom: 0in">(x). Harvest size=–6682+21.86x;<br />
r2=0.479, P=0.001                      surrounding one&#8217;s residence,<br />
which contributes to the</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               ease of observer perception of bout<br />
frequency. (2) Spear-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               fishermen make perception of harvest<br />
size easier by car-</P><br />
<P STYLE="margin-bottom: 0in">dents named the most frequent signaler<br />
as the best spear-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               rying their harvests openly in hand,<br />
rather than carrying</P><br />
<P STYLE="margin-bottom: 0in">fisherman. None of the less frequent<br />
signalers in our</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                               them in a bucket, as line fishers and<br />
shellfish collectors</P><br />
<P STYLE="margin-bottom: 0in">sample obtained any nominations at all.<br />
The remainder</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               do. (3) Although bout frequency is the<br />
signal element</P><br />
<P STYLE="margin-bottom: 0in">of the nominations went to deceased<br />
individuals or those</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               most easily observed, harvest size is<br />
usually made</P><br />
<P STYLE="margin-bottom: 0in">currently not active as spearfishers.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               known to a large number of individuals<br />
through verbal</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                               communication. Hunts with large<br />
harvests are recounted</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               many times over, and stories about<br />
such success become</P><br />
<P STYLE="margin-bottom: 0in">Prediction 2: signal intensity is<br />
linked</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               part of local legend.</P><br />
<P STYLE="margin-bottom: 0in">to phenotypic quality</P><br />
<P STYLE="margin-bottom: 0in">For the qualities signaled by<br />
spearfishing to be honestly</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               Turtle hunting as costly signal</P></p>
<p><P STYLE="margin-bottom: 0in">advertised, high-quality spearfishers<br />
should signal more</P><br />
<P STYLE="margin-bottom: 0in">intensely, because they gain greater<br />
marginal benefits or</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               Turtle hunting could serve as a<br />
competitive display if</P><br />
<P STYLE="margin-bottom: 0in">endure lower marginal costs per unit<br />
signal. In addition</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               foragers can distinguish themselves<br />
from others based on</P><br />
<P STYLE="margin-bottom: 0in">to signal frequency (see above), good<br />
measures of sig-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               their skill. The signal(s) thus<br />
produced by turtle hunting</P></p>
<p><P STYLE="margin-bottom: 0in">naling intensity are harvest size and<br />
success rate. The</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               would depend upon the kinds of costs<br />
incurred. If turtle</P><br />
<P STYLE="margin-bottom: 0in">mean harvest size per bout (in kcal) of<br />
the most frequent</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               hunting is associated with lower<br />
foraging returns than</P><br />
<P STYLE="margin-bottom: 0in">spearfisher (680&plusmn;197, n=9) was<br />
larger than that obtained</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               other options, signals of skill sent<br />
through hunting could</P><br />
<P STYLE="margin-bottom: 0in">by other spearfishers (209&plusmn;101,<br />
n=15; U=32, P=0.05).</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                               honestly indicate the ability of the<br />
forager to expend</P><br />
<P STYLE="margin-bottom: 0in">His hunt type return rates were also<br />
higher at</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               time and energy in a wasteful pursuit.<br />
If hunting has a</P><br />
<P STYLE="margin-bottom: 0in">616&plusmn;356 kg/h versus 137&plusmn;75<br />
kg/h (U=32, P=0.49),</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               high return but is associated with<br />
wide, unconditional,</P><br />
<P STYLE="margin-bottom: 0in">although his bouts were of equal mean<br />
length as those of</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                               and costly distributions of food,<br />
signals of skill could</P><br />
<P STYLE="margin-bottom: 0in">the less frequent signalers (106&plusmn;17.2<br />
vs 102&plusmn;15.6 min).</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               honestly indicate one&#8217;s quality<br />
(prosocial tendencies, or</P><br />
<P STYLE="margin-bottom: 0in">The most frequent signaler&#8217;s return<br />
rates were still lower</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               ability to gain resource reserves<br />
through skill in other ac-</P><br />
<P STYLE="margin-bottom: 0in">than he could achieve shellfish<br />
collecting (U=72,</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                               tivities) by expending time and energy<br />
in providing</P><br />
<P STYLE="margin-bottom: 0in">P=0.002). The “frequent signaler”<br />
also had a much lower</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               goods for public consumption.</P><br />
<P STYLE="margin-bottom: 0in">bout failure rate than other men<br />
(failure rate per</P><br />
<P STYLE="margin-bottom: 0in">bout=22.2% vs 66.7%; χ2=4.444,<br />
P=0.03).                                    Hunting turtles is indeed<br />
a competitive pursuit, with a</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               very different complement of<br />
participants than collect-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               ing. As the Meriam put it, anyone can<br />
collect turtle in the</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                               nesting season, but only certain men<br />
have the ability to</P><br />
<P STYLE="margin-bottom: 0in">Prediction 3: the signal is designed to<br />
be perceived</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               succeed at turtle hunting. Older and<br />
younger men, chil-</P><br />
<P STYLE="margin-bottom: 0in">by the intended audience</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               dren, and women of all ages<br />
participate in turtle collect-</P><br />
<P STYLE="margin-bottom: 0in">Since spearfishing is a solitary<br />
hunting activity that pro-            ing during the nesting season:<br />
21% of turtle collections</P><br />
<P STYLE="margin-bottom: 0in">duces no large, widely consumed common<br />
good, the sig-                  involve adult females. In contrast,<br />
for turtle hunting, the</P></p>
<p><P STYLE="margin-bottom: 0in">14</P><br />
<P STYLE="margin-bottom: 0in">only participants are males between the<br />
ages of 16 and        per capita net return of 4,653 kcal/h if they<br />
divided the</P><br />
<P STYLE="margin-bottom: 0in">47 (mean age=31.6, n=38). Though a<br />
substantial propor-        turtle among themselves; however, all<br />
hunts during this</P><br />
<P STYLE="margin-bottom: 0in">tion of Meriam men participate in<br />
turtle hunting at some      season provision feasts, and hunters keep<br />
no share of the</P><br />
<P STYLE="margin-bottom: 0in">point in their lives, relatively few do<br />
so with regularity.   turtle they provide. Hunters deliver the turtle<br />
whole to</P><br />
<P STYLE="margin-bottom: 0in">In our sample of 37 turtle hunts<br />
extending over two peri-     the feasting location. Hunters thus<br />
obtain negative per</P><br />
<P STYLE="margin-bottom: 0in">ods (1994–1995, and 1998), there were<br />
a total of 102          capita consumption returns of –1,086<br />
kcal/h, including</P><br />
<P STYLE="margin-bottom: 0in">man-days expended, or 2.76 hunters per<br />
hunt (all hunts        the costs of traveling to the patch (see<br />
Bliege Bird and</P><br />
<P STYLE="margin-bottom: 0in">last 1 day or less). For the 87<br />
man-days where hunters        Bird 1997 for details of the method of<br />
calculating net</P></p>
<p><P STYLE="margin-bottom: 0in">are individually identified, there were<br />
a total of 40         returns from turtle hunting).</P><br />
<P STYLE="margin-bottom: 0in">unique individuals, or 2.18 hunts per<br />
hunter. But the 3</P><br />
<P STYLE="margin-bottom: 0in">most active men participated a total of<br />
16 times, or</P><br />
<P STYLE="margin-bottom: 0in">18.4% of the hunter-days of known<br />
individuals. Thus,          Nesting season hunts</P><br />
<P STYLE="margin-bottom: 0in">44.4% of the 90 Meriam males aged 16–47<br />
hunted at</P><br />
<P STYLE="margin-bottom: 0in">least once in the study period, but the<br />
3 most active         During the remainder of the year, hunts are<br />
undertaken</P><br />
<P STYLE="margin-bottom: 0in">participants (3.3% of males) were over<br />
five times more        for two reasons: to provision previously<br />
arranged feasts</P><br />
<P STYLE="margin-bottom: 0in">likely to engage in a turtle hunt than<br />
the average Meriam     (n=13), and to provision households (n=9). In<br />
this sea-</P><br />
<P STYLE="margin-bottom: 0in">male in this age range.<br />
                      son, hunting is much easier and hunters take on<br />
fewer</P></p>
<p><P STYLE="margin-bottom: 0in">    Turtle hunting entails a variety of<br />
costs that could      costs: turtles are found on nearby reefs<br />
waiting to crawl</P><br />
<P STYLE="margin-bottom: 0in">ultimately be linked to signaler<br />
quality in a way that        onto the beaches to lay eggs at night,<br />
the tradewinds</P><br />
<P STYLE="margin-bottom: 0in">ensures signals sent by hunting will<br />
remain honest            have largely ceased, and in between monsoon<br />
storms, the</P><br />
<P STYLE="margin-bottom: 0in">(Smith and Bliege Bird 2000). Hunting<br />
may involve (1)         water is clear, calm, and visibility is<br />
excellent, allowing</P><br />
<P STYLE="margin-bottom: 0in">high opportunity costs in the form of<br />
passing over oppor-     hunters to dog turtles more closely, to lose<br />
fewer, and to</P><br />
<P STYLE="margin-bottom: 0in">tunities to acquire other resources<br />
with a higher rate of     more finely discern size and sex.<br />
Considering only suc-</P><br />
<P STYLE="margin-bottom: 0in">return, (2) low consumption return<br />
rates (Bliege Bird and     cessful hunts, hunters in the nesting<br />
season could poten-</P><br />
<P STYLE="margin-bottom: 0in">Bird 1997) as hunters distribute meat<br />
to non-hunters fol-     tially obtain per capita returns of 8,061<br />
kcal/h hunting</P></p>
<p><P STYLE="margin-bottom: 0in">lowing the hunt, or (3) high energetic,<br />
monetary, or time     for household consumption if they did not share<br />
the meat</P><br />
<P STYLE="margin-bottom: 0in">investment costs of preparing for and<br />
conducting the          with others. But hunters share more widely<br />
than collec-</P><br />
<P STYLE="margin-bottom: 0in">hunt that reduce energetic return rates<br />
below that of oth-    tors during the same season, leaving their<br />
personal return</P><br />
<P STYLE="margin-bottom: 0in">er more easily acquired resources.<br />
There may be other         rate from hunting for a feast at –1,633,<br />
and those from</P><br />
<P STYLE="margin-bottom: 0in">costs or risks of a social nature that<br />
provide a link be-     hunting for household consumption at 814<br />
(Table 2).</P><br />
<P STYLE="margin-bottom: 0in">tween turtle hunting and hunter<br />
quality, particularly the     Hunts during the nesting season should<br />
not happen at all</P><br />
<P STYLE="margin-bottom: 0in">loss of social status should a hunter<br />
fail to deliver turtles if hunters were interested solely in<br />
maximizing energetic</P><br />
<P STYLE="margin-bottom: 0in">to a feast (see below).<br />
                      return rates: during the nesting season,<br />
collected turtle</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      offers higher after-sharing energetic returns<br />
than hunted</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                      turtle. In addition, other available resources<br />
are also</P><br />
<P STYLE="margin-bottom: 0in">Hunting season hunts<br />
                      more energetically productive: sardine netting<br />
provides</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      11,008&plusmn;1,705 (n=28) kcal/h before<br />
sharing – sardine</P><br />
<P STYLE="margin-bottom: 0in">During the hunting season, between<br />
April and October,         harvests are shared only 5% of the time,<br />
leaving on aver-</P><br />
<P STYLE="margin-bottom: 0in">the goal of all hunts is to capture<br />
turtle for a previously   age 10,864 kcal/h. If hunting turtle were<br />
solely about en-</P><br />
<P STYLE="margin-bottom: 0in">arranged feast. During major feasts,<br />
all those who come       suring feast-goers can eat plenty of meat<br />
and fat, men</P><br />
<P STYLE="margin-bottom: 0in">must be fed by the feast-giving family<br />
and their allies,      should net 50 kg of sardines with no chance of<br />
failure</P></p>
<p><P STYLE="margin-bottom: 0in">and the family can never predict<br />
precisely how many           rather than spending the entire day<br />
chasing turtle to risk</P><br />
<P STYLE="margin-bottom: 0in">people will come to the feast itself.<br />
Theoretically, the      coming back to the feast empty-handed.</P><br />
<P STYLE="margin-bottom: 0in">entire population of the island (over<br />
400 men, women,             Turtle hunting in both seasons thus<br />
satisfies two of</P><br />
<P STYLE="margin-bottom: 0in">and children) plus many off-island<br />
visitors could attend,     our criteria for consideration as an<br />
honest and costly sig-</P><br />
<P STYLE="margin-bottom: 0in">though attendance by 200 or fewer from<br />
both on and off        nal. Unlike turtle collecting, observers can<br />
distinguish</P><br />
<P STYLE="margin-bottom: 0in">the island is typical (mean=174.9,<br />
range=49–343, n=54).       skilled from unskilled individuals and<br />
participation is re-</P><br />
<P STYLE="margin-bottom: 0in">Failure to provide turtle is a<br />
substantial cost to the        stricted to a subset of the community;<br />
second, hunting</P><br />
<P STYLE="margin-bottom: 0in">hunter’s status since all feast-goers<br />
will note the absence   has the potential to generate high return<br />
rates among</P><br />
<P STYLE="margin-bottom: 0in">of turtle meat at the feast. Since<br />
hunts are only undertak-   simultaneously available foraging<br />
alternatives (second</P></p>
<p><P STYLE="margin-bottom: 0in">en a day or two prior to a feast, there<br />
are only as many      only to sardine netting), but does not result<br />
in much con-</P><br />
<P STYLE="margin-bottom: 0in">hunts as there are feasts during this<br />
season: in 1994 there   sumption benefit to the hunters since they<br />
share widely</P><br />
<P STYLE="margin-bottom: 0in">were ten hunts for public feasts.<br />
During the hunting sea-     and take no portion for themselves. As<br />
with spearfishing,</P><br />
<P STYLE="margin-bottom: 0in">son, the turtle patch is more distant,<br />
encounters with tur-   we hypothesize that the benefits of hunting<br />
are gained</P><br />
<P STYLE="margin-bottom: 0in">tle are less common, and turtles are<br />
more difficult to de-    through the honest-signal value of acquiring<br />
the prey,</P><br />
<P STYLE="margin-bottom: 0in">tect and follow under water that is<br />
often murky and bro-      rather than through consumption, and that<br />
honesty is</P><br />
<P STYLE="margin-bottom: 0in">ken by swells and whitecaps created by<br />
the nearly con-        maintained through differential costs and<br />
benefits: men</P><br />
<P STYLE="margin-bottom: 0in">stant 20-knot southeast tradewinds<br />
during this season.        of higher phenotypic quality benefit more<br />
or pay less</P><br />
<P STYLE="margin-bottom: 0in">After a successful hunt, hunters could<br />
expect to obtain a     than lower-quality individuals per unit<br />
signal.</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                        15</P><br />
<P STYLE="margin-bottom: 0in"><br />
                             and handling. Since travel costs are<br />
primarily the cost of fuel ex-</P><br />
<P STYLE="margin-bottom: 0in">Table 2 Turtle hunting per capita<br />
mean&plusmn;SE net returns (kcal/h),</P><br />
<P STYLE="margin-bottom: 0in"><br />
                             pended in outboard motors, the cost of<br />
fuel used (l) is converted to</P><br />
<P STYLE="margin-bottom: 0in">number of hunts/collections (n), and<br />
total number of participating</P><br />
<P STYLE="margin-bottom: 0in"><br />
                             calories of meat that could have been<br />
purchased in the local shop</P></p>
<p><P STYLE="margin-bottom: 0in">acquirers by consumption type (house or<br />
feast), season (hunting or</P><br />
<P STYLE="margin-bottom: 0in"><br />
                             with the money used to buy fuel for the<br />
hunting trip. Further de-</P><br />
<P STYLE="margin-bottom: 0in">nesting), and acquisition method<br />
(hunting or collecting). Net re-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                             tails in Bliege Bird and Bird (1997)</P><br />
<P STYLE="margin-bottom: 0in">turn rates are calculated as gross<br />
edible energy captured minus en-</P><br />
<P STYLE="margin-bottom: 0in">ergy expended in travel divided by time<br />
spent in travel, search,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                   Before sharing<br />
After Sharing</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                   Hunting               Nesting<br />
Hunting          Nesting</P><br />
<P STYLE="margin-bottom: 0in"><br />
                   season                season<br />
season           season</P><br />
<P STYLE="margin-bottom: 0in">House<br />
Collecting (108 acquirers)                       21,875&plusmn;2279<br />
(n=44)                          5,068&plusmn;922</P><br />
<P STYLE="margin-bottom: 0in">                                Hunting<br />
(27 acquirers)                           8,061&plusmn;970 (n=9)<br />
                      814&plusmn;526</P><br />
<P STYLE="margin-bottom: 0in">Feast<br />
Collecting (56 acquirers)                        16913&plusmn;1842<br />
(n=44)                           1329&plusmn;1127</P></p>
<p><P STYLE="margin-bottom: 0in">                                Hunting<br />
(40 acquirers)     4,922&plusmn;345 (n=10)      10,607&plusmn;3566<br />
(n=13)          –468&plusmn;660        –1,633&plusmn;325</P><br />
<P STYLE="margin-bottom: 0in">Total number of hunts<br />
                   10                    22</P><br />
<P STYLE="margin-bottom: 0in">Total number of collections<br />
                   0                     88</P><br />
<P STYLE="margin-bottom: 0in">Number of turtles<br />
                   13                    116</P><br />
<P STYLE="margin-bottom: 0in">Prediction 1: turtle hunting is<br />
differentially costly                agility, leadership and<br />
organizational abilities, and proso-</P><br />
<P STYLE="margin-bottom: 0in">or beneficial<br />
                             cial tendencies (e.g., expending time<br />
and energy in pro-</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                             viding goods for public consumption at<br />
feasts). Such in-</P><br />
<P STYLE="margin-bottom: 0in">The relative costs and benefits of<br />
hunting turtle vary               formation is presumably of interest<br />
to potential female</P><br />
<P STYLE="margin-bottom: 0in">with the season: hunts are less costly<br />
in the nesting sea-           mates, their families, potential<br />
political alliance partners,</P><br />
<P STYLE="margin-bottom: 0in">son because the prey are found closer<br />
to home, but they              or competitors for social status.</P><br />
<P STYLE="margin-bottom: 0in">are more ambiguous as a signal, since<br />
turtles may also be                As detailed above, the most active<br />
hunters are a sub-</P><br />
<P STYLE="margin-bottom: 0in">collected at this time. Since there is<br />
the potential for dis-        set of the adult male population. The<br />
best turtle hunt</P><br />
<P STYLE="margin-bottom: 0in">honest signaling (acquiring a turtle<br />
through collecting              leaders are well known to community<br />
members: in a</P><br />
<P STYLE="margin-bottom: 0in">and passing it off as a hunted turtle),<br />
we predict that the          series of 32 interviews we conducted<br />
with men and</P></p>
<p><P STYLE="margin-bottom: 0in">benefits of hunting during the nesting<br />
season are lower              women in which informants were asked to<br />
nominate any</P><br />
<P STYLE="margin-bottom: 0in">as well. We would thus expect that more<br />
skilled hunters              three individuals of their choice for<br />
“best turtle hunters,”</P><br />
<P STYLE="margin-bottom: 0in">would be over-represented among hunting<br />
season hunts,                3 men (all ones we had observed as the<br />
most frequent</P><br />
<P STYLE="margin-bottom: 0in">which have the highest cost and the<br />
lowest signal ambi-              hunt leaders) garnered 38 (39.6%) of<br />
the 96 nominations</P><br />
<P STYLE="margin-bottom: 0in">guity, while the least skilled hunters<br />
would be over-rep-            (a total of 30 men were nominated for<br />
“best hunter” out</P><br />
<P STYLE="margin-bottom: 0in">resented among nesting season hunts,<br />
when hunts are                  of a pool of 90 or more males aged 16<br />
and older). While</P><br />
<P STYLE="margin-bottom: 0in">less costly as well as harder to<br />
discriminate from collect-          several deceased individuals or<br />
older men no longer</P><br />
<P STYLE="margin-bottom: 0in">ing. Among turtle hunt participants,<br />
age is usually a                active as hunt leaders were named<br />
among the “best hunt-</P><br />
<P STYLE="margin-bottom: 0in">good proxy for skill, since hunt<br />
participants move up in             ers,” no men currently active<br />
solely as jumpers were so</P></p>
<p><P STYLE="margin-bottom: 0in">the hierarchy of roles as they gain in<br />
skill over time, and          named. Jumpers are rarely individually<br />
credited by</P><br />
<P STYLE="margin-bottom: 0in">since the skills necessary to be a good<br />
hunt leader are not          others for acquiring a turtle, and<br />
drivers are rarely pub-</P><br />
<P STYLE="margin-bottom: 0in">dependent upon size and strength. We<br />
thus expect jump-               licly credited with participation in<br />
the hunt. Feast-goers</P><br />
<P STYLE="margin-bottom: 0in">ers to make the move to become hunt<br />
leaders only during              can readily name hunt leaders as<br />
providers of the turtle,</P><br />
<P STYLE="margin-bottom: 0in">the nesting season. Hunt leaders during<br />
the hunting sea-             even several years after the feast, but<br />
when pressed for</P><br />
<P STYLE="margin-bottom: 0in">son (n=8) are in fact an average of 7.9<br />
years older than             the names of other hunt participants,<br />
lump all others to-</P><br />
<P STYLE="margin-bottom: 0in">hunt leaders (n=22) during the nesting<br />
season, a differ-             gether as “the boys.” Jumpers may<br />
begin in this role as</P><br />
<P STYLE="margin-bottom: 0in">ence that is statistically significant<br />
(U=41.5, P=0.05). In          young as 15–17 years old; anecdotal<br />
evidence indicates</P><br />
<P STYLE="margin-bottom: 0in">contrast, there is no difference in age<br />
of jumper accord-            that those who excel in this role and<br />
gain increasing</P></p>
<p><P STYLE="margin-bottom: 0in">ing to season (df=37, t=–0.253,<br />
P=0.80). Of the 17                   knowledge and peer respect<br />
eventually become hunt</P><br />
<P STYLE="margin-bottom: 0in">known current hunt leaders, the 4<br />
youngest (aged 18–22)              leaders, while others remain<br />
jumpers or cease participat-</P><br />
<P STYLE="margin-bottom: 0in">were observed as hunt leaders only<br />
during the nesting                ing in turtle hunting.</P><br />
<P STYLE="margin-bottom: 0in">season, and served only as jumpers<br />
during the hunting</P><br />
<P STYLE="margin-bottom: 0in">season.</P><br />
<P STYLE="margin-bottom: 0in"><br />
                             Prediction 3: the signal is designed to<br />
be perceived</P><br />
<P STYLE="margin-bottom: 0in"><br />
                             by the intended audience</P><br />
<P STYLE="margin-bottom: 0in">Prediction 2: signal intensity is<br />
linked</P></p>
<p><P STYLE="margin-bottom: 0in">to phenotypic quality<br />
                             Signals do little good if they are not<br />
perceived and the in-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                             formation contained is not deciphered.<br />
We propose that</P><br />
<P STYLE="margin-bottom: 0in">Turtle hunting provides evidence of<br />
skills that could                when signals are designed to acquire<br />
general social status</P><br />
<P STYLE="margin-bottom: 0in">honestly signal several relevant<br />
qualities: environmental            or political dominance, broadcast<br />
efficiency will be in-</P><br />
<P STYLE="margin-bottom: 0in">and ethological knowledge, risk-taking,<br />
strength and                 creased by directing them at larger<br />
audiences, rather than</P><br />
<P STYLE="margin-bottom: 0in">16</P><br />
<P STYLE="margin-bottom: 0in">small subsets of interested parties (as<br />
might be predicted    sult, the most active spearfisher gains the<br />
benefits of an</P><br />
<P STYLE="margin-bottom: 0in">if the signal elements of hunting were<br />
directed solely at     enhanced spearing reputation that more<br />
infrequent sig-</P></p>
<p><P STYLE="margin-bottom: 0in">potential mating partners). Thus, we<br />
predict that hunted      nalers do not seem to enjoy. Spearing thus<br />
has the poten-</P><br />
<P STYLE="margin-bottom: 0in">turtles should be shared more widely<br />
than collected           tial to serve as an honest signal of a<br />
spearfisherman’s</P><br />
<P STYLE="margin-bottom: 0in">turtles; in other words, that<br />
individuals should choose to    phenotypic quality.</P><br />
<P STYLE="margin-bottom: 0in">hunt for larger audiences, and to<br />
collect when audiences          Although we have demonstrated the<br />
potential for sig-</P><br />
<P STYLE="margin-bottom: 0in">(the number of households attracted to<br />
the turtle and con-    naling, and the bias in men&#8217;s foraging toward<br />
resources</P><br />
<P STYLE="margin-bottom: 0in">suming portions) are predicted to be<br />
smaller. Because         which have high competitive signaling<br />
potential, precise-</P><br />
<P STYLE="margin-bottom: 0in">turtles cannot be collected during the<br />
hunting season,        ly how both signaler and observer ultimately<br />
benefit</P><br />
<P STYLE="margin-bottom: 0in">we control for the effects of season.<br />
We thus predict that    from the signal is not clear. We do know that<br />
good spear-</P><br />
<P STYLE="margin-bottom: 0in">audience size should have a significant<br />
effect on acquisi-    ing men are widely recognized, and that this<br />
adds to their</P></p>
<p><P STYLE="margin-bottom: 0in">tion method within the nesting season<br />
only: when larger       social status within the community. Potential<br />
competitors</P><br />
<P STYLE="margin-bottom: 0in">audiences are available, men should<br />
prefer to hunt rather     might also gain from knowing who is a<br />
better man with a</P><br />
<P STYLE="margin-bottom: 0in">than collect. During the 1994–1995<br />
nesting season, hunts      spear, although the knowledge certainly<br />
would have</P><br />
<P STYLE="margin-bottom: 0in">for which the number of consumers were<br />
known (n=22)           been more useful in the past when spears were<br />
the major</P><br />
<P STYLE="margin-bottom: 0in">averaged 26.7&plusmn;23.7 households,<br />
while collections (n=80)       means of ambushing competitors.<br />
Spearing signals may</P><br />
<P STYLE="margin-bottom: 0in">averaged 18.7&plusmn;19.0 households<br />
consuming, a significant        not be designed to appeal to<br />
potential mates interested</P><br />
<P STYLE="margin-bottom: 0in">difference (t=–1.649, df=100,<br />
P=0.05).                        only in marrying provisioners. A man<br />
who demonstrates</P><br />
<P STYLE="margin-bottom: 0in">    Individuals who acquire turtles for<br />
feasts have a large   his intention to provision a household by<br />
collecting</P></p>
<p><P STYLE="margin-bottom: 0in">built-in audience; however, turtles<br />
acquired for house-       shellfish may be more attractive to such<br />
women than a</P><br />
<P STYLE="margin-bottom: 0in">hold provisioning will be shared among<br />
a smaller num-         man who demonstrates his intention to engage<br />
in a com-</P><br />
<P STYLE="margin-bottom: 0in">ber of households. If hunting serves as<br />
an honest signal      petitive, status-enhancing pursuit.</P><br />
<P STYLE="margin-bottom: 0in">and hunters wish to broadcast the<br />
signal widely, turtles          Turtle hunters seem to have very<br />
different goals than</P><br />
<P STYLE="margin-bottom: 0in">acquired for household provisioning<br />
should also be            turtle collectors. Compared to collecting,<br />
hunting is more</P><br />
<P STYLE="margin-bottom: 0in">shared more widely when hunted than<br />
when collected            costly (in time, energy, and risk),<br />
provides meat less effi-</P><br />
<P STYLE="margin-bottom: 0in">(controlling for season). During the<br />
1994–1995 nesting        ciently, and is associated with wider<br />
distributions of</P><br />
<P STYLE="margin-bottom: 0in">season, there were 9 hunts and 44<br />
collections to supply       meat and larger audiences to witness the<br />
hunters&#8217; prow-</P><br />
<P STYLE="margin-bottom: 0in">turtles for household consumption<br />
(Table 2). As predict-      ess. Hunters keep no meat for themselves<br />
unless (quite</P></p>
<p><P STYLE="margin-bottom: 0in">ed, hunted consumption turtles were<br />
shared to more            rarely) hunting for household consumption,<br />
in which</P><br />
<P STYLE="margin-bottom: 0in">households (7.5&plusmn;3.0) than<br />
collected consumption turtles       case they still keep less and<br />
share more than turtle col-</P><br />
<P STYLE="margin-bottom: 0in">(4.6&plusmn;2.5), and the statistical<br />
difference is strongly signif- lectors. Hunters take on a variety of<br />
costs for which they</P><br />
<P STYLE="margin-bottom: 0in">icant (U=64, P=0.015). Because the<br />
number of house-           are not materially compensated: they<br />
expend more time</P><br />
<P STYLE="margin-bottom: 0in">holds receiving portions of a hunted<br />
turtle is larger than    and energy in hunting than they do<br />
collecting, they spend</P><br />
<P STYLE="margin-bottom: 0in">the number receiving portions of a<br />
collected turtle, por-     more money for fuel, they spend time<br />
organizing and</P><br />
<P STYLE="margin-bottom: 0in">tions shared to each household should<br />
be smaller, but         preparing the hunting team and its equipment<br />
prior to the</P><br />
<P STYLE="margin-bottom: 0in">they do not seem to be so, because<br />
hunters kept less for      hunt, and they deliver the meat to be<br />
consumed by large</P></p>
<p><P STYLE="margin-bottom: 0in">themselves and their own households<br />
than did collectors       audiences at feasts. The ability to bear<br />
such costs ap-</P><br />
<P STYLE="margin-bottom: 0in">(mean portion kept (kcal) for<br />
hunters=7,780&plusmn;2,194 kcal,       pears to be linked to hunter<br />
quality. Because a hunter is</P><br />
<P STYLE="margin-bottom: 0in">n=38; for collectors=14,387&plusmn;2,631<br />
kcal, n=123) al-            an organizer and decision-maker, his<br />
abilities peak as he</P><br />
<P STYLE="margin-bottom: 0in">though the difference is not<br />
significant (t-test on log-      gains skill and experience: Those<br />
named as the best</P><br />
<P STYLE="margin-bottom: 0in">transformed kcal kept, t=0.682, df=159,<br />
P=0.50).              hunters are older than other hunt participants,<br />
such as</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      jumpers. As we predicted, when hunting was less<br />
costly</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      and more difficult to discriminate from<br />
collecting (i.e.,</P></p>
<p><P STYLE="margin-bottom: 0in">Discussion<br />
                      during the nesting season), hunters were<br />
younger, in fact</P><br />
<P STYLE="margin-bottom: 0in"><br />
                      composed almost entirely of ambitious jumpers<br />
prepar-</P><br />
<P STYLE="margin-bottom: 0in">Although our sample of spearfishers is<br />
too small to de-       ing to be hunt leaders themselves.<br />
Furthermore, the sig-</P><br />
<P STYLE="margin-bottom: 0in">fine a continuum in level of skill,<br />
spearfishing does seem    nals sent by hunting are efficiently<br />
broadcast: hunts were</P><br />
<P STYLE="margin-bottom: 0in">to exhibit strong potential for<br />
competitive signaling. The    associated with larger numbers of<br />
consumers overall</P><br />
<P STYLE="margin-bottom: 0in">most frequent signaler obtains much<br />
higher gains per          than collections during the nesting season<br />
and during</P><br />
<P STYLE="margin-bottom: 0in">unit patch residence time than other<br />
spearfishers. Har-       household consumption events. Most<br />
feast-goers (audi-</P><br />
<P STYLE="margin-bottom: 0in">vest size (the most easily observed<br />
indicator of return       ence members), when quizzed, know the<br />
identity of</P></p>
<p><P STYLE="margin-bottom: 0in">rates) is likely to be linked to<br />
phenotypic quality in the    hunters, but not the identity of<br />
jumpers.</P><br />
<P STYLE="margin-bottom: 0in">form of hand-eye coordination, stealth,<br />
and patience, and         Since the low take-home returns of hunters<br />
providing</P><br />
<P STYLE="margin-bottom: 0in">provides an immediate signal of forager<br />
quality. Success      turtle for household consumption and the<br />
negative take-</P><br />
<P STYLE="margin-bottom: 0in">rate is a signal element contributing<br />
to the long-term rep-   home returns of hunters providing turtle for<br />
a feast are</P><br />
<P STYLE="margin-bottom: 0in">utation of the spearfisher. High<br />
success rates in conjunc-    due to widespread sharing, the argument<br />
could be made</P><br />
<P STYLE="margin-bottom: 0in">tion with large harvest size ensure<br />
that large harvests are   that the signal cost is eventually<br />
recovered in the form of</P><br />
<P STYLE="margin-bottom: 0in">more likely due to skill<br />
(forager-dependent variability)      meat or other goods or services<br />
returned as payback for</P><br />
<P STYLE="margin-bottom: 0in">than to luck (forager-independent<br />
variability). As a re-      the hunter&#8217;s gift. In other words,<br />
perhaps RA by the re-</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>           17</P></p>
<p><P STYLE="margin-bottom: 0in">cipients of a hunter&#8217;s largesse erases<br />
the cost of his signal    The results of additional analysis in<br />
progress show</P><br />
<P STYLE="margin-bottom: 0in">(Sosis and Hill 1997). The stable<br />
maintenance of RA re-       that the display of such qualities is<br />
correlated with higher</P><br />
<P STYLE="margin-bottom: 0in">quires that the provisioning of a<br />
turtle be contingent up-    social status and higher age-specific<br />
reproductive suc-</P><br />
<P STYLE="margin-bottom: 0in">on the eventual receipt of<br />
counterbalancing benefits          cess of hunters and their mates<br />
than other Meriam (E.A.</P><br />
<P STYLE="margin-bottom: 0in">which compensate the hunter for the<br />
marginal cost of          Smith, R. Bliege Bird, D. Bird, unpublished<br />
data). As</P><br />
<P STYLE="margin-bottom: 0in">giving up turtle that could have been<br />
used in other fit-      explained to us by Meriam hunters and their<br />
mates, the</P><br />
<P STYLE="margin-bottom: 0in">ness-enhancing ways. Previous tests of<br />
predictions based      signals sent by hunters are likely to be part<br />
of both politi-</P><br />
<P STYLE="margin-bottom: 0in">on RA in the form of risk reduction<br />
reciprocity for shar-     cal strategies, in which hunters<br />
demonstrate to other men</P><br />
<P STYLE="margin-bottom: 0in">ing of collected and hunted turtles<br />
combined received         their honest intention to work for the<br />
public good, and</P></p>
<p><P STYLE="margin-bottom: 0in">little support (Bliege Bird and Bird<br />
1997). Further tests     reproductive strategies, in which hunters<br />
demonstrate</P><br />
<P STYLE="margin-bottom: 0in">of alternative forms of reciprocity are<br />
being conducted       their “willingness to work hard” in order<br />
to gain access</P><br />
<P STYLE="margin-bottom: 0in">to evaluate this line of explanation<br />
(R. Bliege Bird, G.      to the “best girl” (Kaddy, personal<br />
communication;</P><br />
<P STYLE="margin-bottom: 0in">Kushnik, E.A. Smith, D. Bird, C.<br />
Hadley, unpublished          Passi, personal communication). Hunters<br />
know that</P><br />
<P STYLE="margin-bottom: 0in">data), as will be detailed in future<br />
publications.            spreading one&#8217;s influence widely via the<br />
provisioning of</P><br />
<P STYLE="margin-bottom: 0in">    While we have measured the cost of<br />
hunting using di-      collective goods at feasts increase social<br />
status over the</P><br />
<P STYLE="margin-bottom: 0in">rect material currencies such as time,<br />
energy, and money,     long-term among the community as a whole,<br />
while less</P><br />
<P STYLE="margin-bottom: 0in">there are additional social costs that,<br />
though difficult to   public-minded status-enhancing activities (like<br />
stealing</P></p>
<p><P STYLE="margin-bottom: 0in">measure, may be of equal or even<br />
greater importance.          land or selfishly hoarding resources)<br />
provides narrow,</P><br />
<P STYLE="margin-bottom: 0in">Turtles provided for feasts are needed<br />
by community el-       short-term status in only a small pool of<br />
competitors.</P><br />
<P STYLE="margin-bottom: 0in">ders (feast hosts) to enhance their own<br />
status by ensuring</P><br />
<P STYLE="margin-bottom: 0in">there is plenty of meat for guests. If<br />
successful hunting is</P><br />
<P STYLE="margin-bottom: 0in">a reliable signal of the hunter&#8217;s<br />
underlying quality (as de-  Implications for the sexual division of<br />
labor</P><br />
<P STYLE="margin-bottom: 0in">fined above), lower-quality individuals<br />
would be expect-</P><br />
<P STYLE="margin-bottom: 0in">ed to fail on turtle hunts more often<br />
and thus pay a higher   One intriguing result of our analysis are the<br />
gender</P><br />
<P STYLE="margin-bottom: 0in">marginal cost per turtle delivered to a<br />
feast (i.e., per unit differences in participation in those<br />
activities with high</P><br />
<P STYLE="margin-bottom: 0in">signal). Failing to deliver a turtle to<br />
a feast also entails  signaling potential. With spearfishing<br />
particularly, the</P></p>
<p><P STYLE="margin-bottom: 0in">significant social costs, since the<br />
feast-holders are expect- differences were not consistent with the<br />
common notion</P><br />
<P STYLE="margin-bottom: 0in">ed to serve turtle to their guests, and<br />
everyone will know    that a sexual division of labor in humans<br />
functions to</P><br />
<P STYLE="margin-bottom: 0in">when a hunter has failed. High-quality<br />
individuals should     maximize the productivity of a cooperating<br />
male-female</P><br />
<P STYLE="margin-bottom: 0in">have a lower probability of failure and<br />
thus a high ratio of  pair (see Bliege Bird 1999). We propose that<br />
the signal-</P><br />
<P STYLE="margin-bottom: 0in">social benefits (from successful hunts)<br />
to costs (from fail-  ing benefits attached to certain foraging<br />
strategies may</P><br />
<P STYLE="margin-bottom: 0in">ures). Low-quality individuals may face<br />
a large enough        often change the valuation of certain prey<br />
items for some</P><br />
<P STYLE="margin-bottom: 0in">risk of failing to produce a net social<br />
deficit from their    individuals. While foraging on the reef, males<br />
make</P><br />
<P STYLE="margin-bottom: 0in">signaling attempts, and hence may avoid<br />
signaling at all,     choices that fail to maximize their<br />
macronutrient return</P><br />
<P STYLE="margin-bottom: 0in">making it difficult to test this<br />
hypothesis. We do have an-   rates. These choices appear to be due to<br />
the tradeoffs</P></p>
<p><P STYLE="margin-bottom: 0in">ecdotal evidence that some men have<br />
attempted turtle          men face over foraging for highly<br />
productive resources</P><br />
<P STYLE="margin-bottom: 0in">hunting in the past, and given up when<br />
they found they        which have little signaling value (shellfish)<br />
against for-</P><br />
<P STYLE="margin-bottom: 0in">were “no good at it.” In addition,<br />
the facts (detailed        aging for less productive resources with<br />
high signaling</P><br />
<P STYLE="margin-bottom: 0in">above) that only certain men engage in<br />
turtle hunting, that   value (speared fish). Likewise, choosing to<br />
hunt turtle</P><br />
<P STYLE="margin-bottom: 0in">only an older and more experienced<br />
subset of these be-        for feasts provides much lower consumption<br />
benefits</P><br />
<P STYLE="margin-bottom: 0in">come hunt leaders, and that hunt leader<br />
status is widely      than collecting turtle for the household, but<br />
greater sig-</P><br />
<P STYLE="margin-bottom: 0in">recognized in the community, all<br />
indicate that success in     naling benefits. Adult women only<br />
participate in cooper-</P><br />
<P STYLE="margin-bottom: 0in">this endeavor is not equally available.<br />
                      ative turtle collection, comprising 21% of all<br />
partici-</P><br />
<P STYLE="margin-bottom: 0in">    To qualify as costly signaling,<br />
hunting must not only     pants, and do not hunt.</P></p>
<p><P STYLE="margin-bottom: 0in">be honest, but must also reveal<br />
signaler quality. Given          These data suggest that foraging sex<br />
differences may</P><br />
<P STYLE="margin-bottom: 0in">the three distinct roles played by hunt<br />
participants, we      not simply be a result of women preferring<br />
plants and</P><br />
<P STYLE="margin-bottom: 0in">propose (but cannot currently test)<br />
that at least four dis-   men meat, or women preferring small<br />
harvests while men</P><br />
<P STYLE="margin-bottom: 0in">tinct dimensions of underlying quality<br />
could be signaled      prefer large ones, or even women preferring<br />
prey which</P><br />
<P STYLE="margin-bottom: 0in">through turtle hunting: (1) physical<br />
quality (such as         can be more easily harvested while children<br />
are present</P><br />
<P STYLE="margin-bottom: 0in">strength, stamina, agility, and<br />
risk-taking); (2) cognitive   (shellfish are just as difficult as<br />
fish to collect with small</P><br />
<P STYLE="margin-bottom: 0in">skills (involving the ecological and<br />
ethological knowl-       children). Where there is a choice in<br />
foraging method,</P><br />
<P STYLE="margin-bottom: 0in">edge needed to successfully locate and<br />
capture turtles);      men seem to prefer to acquire meat through<br />
more risky</P><br />
<P STYLE="margin-bottom: 0in">(3) leadership skills (charisma and<br />
organizational abili-     methods that more easily differentiate the<br />
skill of indi-</P></p>
<p><P STYLE="margin-bottom: 0in">ties), and (4) generosity (ability and<br />
willingness to bear    vidual foragers, while women seem to prefer<br />
less risky</P><br />
<P STYLE="margin-bottom: 0in">the high immediate cost in time, money,<br />
and energy of         methods carrying little potential for<br />
discrimination of for-</P><br />
<P STYLE="margin-bottom: 0in">providing collective goods without<br />
direct compensation).      ager quality. We propose that sex-biased<br />
foraging prefer-</P><br />
<P STYLE="margin-bottom: 0in">We expect the first dimension to apply<br />
primarily to the       ences may arise due to the differing benefits<br />
each sex re-</P><br />
<P STYLE="margin-bottom: 0in">younger men who serve as “jumpers,”<br />
whereas the other         ceives from investing in competition for<br />
status through</P><br />
<P STYLE="margin-bottom: 0in">three dimensions refer primarily to<br />
hunt leaders.             signaling certain genotypic or phenotypic<br />
qualities.</P><br />
<P STYLE="margin-bottom: 0in">18</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    Acknowledgements We thank the Meriam community<br />
foremost,</P></p>
<p><P STYLE="margin-bottom: 0in">Foraging as communication</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    especially Chairman Ron Day for his foresight and<br />
tolerance, our</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    Meriam families, particularly the Passis, and the<br />
turtle hunters who</P><br />
<P STYLE="margin-bottom: 0in">As Hawkes (1990, 1991, 1992, 1993)<br />
first hypothe-           volunteered information or invited us on<br />
hunts. We also wish to ac-</P><br />
<P STYLE="margin-bottom: 0in">sized, some kinds of hunting may<br />
persist in human           knowledge the invaluable field assistance<br />
of Andrew Passi, Ron</P><br />
<P STYLE="margin-bottom: 0in">populations because some foragers gain<br />
benefits from        “Sonny” Passi, Edna Kabere, Del Passi, and<br />
Craig Hadley. For many</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    helpful discussions and comments on the<br />
manuscript, we thank</P></p>
<p><P STYLE="margin-bottom: 0in">widely disseminating knowledge about<br />
their prowess</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    Monique Borgerhoff Mulder, Thomas Getty, Craig<br />
Hadley, Polly</P><br />
<P STYLE="margin-bottom: 0in">relative to other individuals through<br />
the hunting of        Wiessner, Kristen Hawkes, Kim Hill, Frank<br />
Marlowe, Rich Sosis,</P><br />
<P STYLE="margin-bottom: 0in">large and risky prey items. While<br />
Hawkes (1993)             Steven Siller, and Bruce Winterhalder.<br />
Research in 1998–1999 was</P><br />
<P STYLE="margin-bottom: 0in">stressed the benefits that hunters<br />
obtain from providing    supported by NSF grant SBR-9616096 to R.B.B.<br />
and E.A.S., NSF</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    grant SBR-9616887 to D.W.B. and E.A.S., and<br />
research in 1994–</P><br />
<P STYLE="margin-bottom: 0in">collective goods (as with turtle<br />
hunting and uncondi-</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    1995 was supported by grants to R.B.B. and D.W.B.<br />
from AIATSIS,</P></p>
<p><P STYLE="margin-bottom: 0in">tional sharing), our results show that<br />
benefits may also</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    the L.S.B. Leakey Foundation, the Wenner Gren<br />
Foundation for An-</P><br />
<P STYLE="margin-bottom: 0in">come in the absence of any material<br />
good provided to        thropological Research, and an NSF<br />
predoctoral fellowship to</P><br />
<P STYLE="margin-bottom: 0in">observers (as with spearfishing) as a<br />
result of honestly    R.B.B. and an NSF Dissertation Improvement<br />
Grant to D.W.B.</P><br />
<P STYLE="margin-bottom: 0in">revealing hidden information to<br />
interested parties. Dif-</P><br />
<P STYLE="margin-bottom: 0in">ferential costs and benefits for<br />
signalers of higher and</P><br />
<P STYLE="margin-bottom: 0in"><br />
                    References</P><br />
<P STYLE="margin-bottom: 0in">lower quality serve to keep the<br />
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<P STYLE="margin-bottom: 0in"><br />
                              the evolution of altruism. In:<br />
Stonehouse B, Perrins CM</P><br />
<P STYLE="margin-bottom: 0in">    es, whales, crustaceans, mollusks,<br />
and their products. NOAA</P><br />
<P STYLE="margin-bottom: 0in"><br />
                              (eds) Evolutionary ecology. Macmillan,<br />
London, pp 253–</P><br />
<P STYLE="margin-bottom: 0in">    Technical Memorandum. National<br />
Marine Fisheries Services,</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                              259</P><br />
<P STYLE="margin-bottom: 0in">    Washington, DC</P><br />
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<p><P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in"><br />
           7</P><br />
<P STYLE="margin-bottom: 0in"><br />
Growing Up Mikea</P><br />
<P STYLE="margin-bottom: 0in">                     Children’s Time<br />
Allocation and Tuber</P><br />
<P STYLE="margin-bottom: 0in">                   Foraging in<br />
Southwestern Madagascar</P><br />
<P STYLE="margin-bottom: 0in">                                Bram<br />
Tucker and Alyson G. Young</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
  I. INTRODUCTION</P><br />
<P STYLE="margin-bottom: 0in">             Human childhood poses<br />
interrelated evolutionary, economic, and ecolog-</P><br />
<P STYLE="margin-bottom: 0in">             ical puzzles. The<br />
evolutionary puzzle is that the human juvenile period is</P><br />
<P STYLE="margin-bottom: 0in">             considerably longer than<br />
the premature developmental periods in other</P><br />
<P STYLE="margin-bottom: 0in">             great apes, making long<br />
childhood a derived trait of potential signiﬁcance</P><br />
<P STYLE="margin-bottom: 0in">             (Bock and Sellen 2002b).<br />
Humans invest in growth and delay the start of</P></p>
<p><P STYLE="margin-bottom: 0in">             reproduction for 15 to 20<br />
years (Bogin 1999; Hill and Kaplan 1999). This</P><br />
<P STYLE="margin-bottom: 0in">             seems contrary to<br />
Darwinian logic because a long childhood period has</P><br />
<P STYLE="margin-bottom: 0in">             the potential to increase<br />
risk of mortality prior to reproductive maturation.</P><br />
<P STYLE="margin-bottom: 0in">             Natural selection could<br />
favor prolonged investment in growth and de-</P><br />
<P STYLE="margin-bottom: 0in">             layed reproduction for<br />
several reasons. First, the costs of reduced fertility</P><br />
<P STYLE="margin-bottom: 0in">             could be overridden by the<br />
mortality-reducing beneﬁts of a long training</P></p>
<p><P STYLE="margin-bottom: 0in">             period, such as a longer<br />
period to learn difﬁcult foraging tasks (Kaplan et</P><br />
<P STYLE="margin-bottom: 0in">             al. 2000). Second, long<br />
childhood could be a side effect of selection for a</P><br />
<P STYLE="margin-bottom: 0in">             long lifespan more<br />
generally. Among mammals, body size, lifespan, and</P><br />
<P STYLE="margin-bottom: 0in">             the length of the juvenile<br />
period are highly correlated (Charnov 1993, 2001;</P><br />
<P STYLE="margin-bottom: 0in">             Charnov and Berrigan<br />
1993).</P><br />
<P STYLE="margin-bottom: 0in">                The economic dimension<br />
of the puzzle has to do with the labor costs of</P></p>
<p><P STYLE="margin-bottom: 0in">             supporting children.<br />
Children cannot meet all their resource needs from</P><br />
<P STYLE="margin-bottom: 0in">             their own labor, so<br />
parents and alloparents must cooperate to provision</P><br />
<P STYLE="margin-bottom: 0in">             children and take care of<br />
their needs, qualifying humans as “cooperative</P><br />
<P STYLE="margin-bottom: 0in">             breeders” (Hrdy 1999).<br />
Children like all household members are simulta-</P><br />
<P STYLE="margin-bottom: 0in">             neously resource producers<br />
and consumers. They are both labor that ben-</P><br />
<P STYLE="margin-bottom: 0in">             eﬁts the household and<br />
hungry mouths that must be fed. Before the age of</P></p>
<p><P STYLE="margin-bottom: 0in">             “positive net<br />
production,” children consume more food than they produce</P><br />
<P STYLE="margin-bottom: 0in"><br />
           147</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 148</P><br />
<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in">          148<br />
Bram Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">          from their own labor; they<br />
are a net cost to the household. The rest of the</P></p>
<p><P STYLE="margin-bottom: 0in">          household must work harder to<br />
support them (Chayanov [1925] 1986; Ka-</P><br />
<P STYLE="margin-bottom: 0in">          plan 1997; Lee and Kramer<br />
2002). After the age of positive net production,</P><br />
<P STYLE="margin-bottom: 0in">          young people can take on<br />
alloparental responsibilities and care for their</P><br />
<P STYLE="margin-bottom: 0in">          younger siblings, easing the<br />
childcare responsibilities of adults (Kramer</P><br />
<P STYLE="margin-bottom: 0in">          2002).</P><br />
<P STYLE="margin-bottom: 0in">             The ecological dimension<br />
of this puzzle is that the costs of raising chil-</P></p>
<p><P STYLE="margin-bottom: 0in">          dren vary with environmental<br />
conditions. Some environments favor chil-</P><br />
<P STYLE="margin-bottom: 0in">          dren’s active participation<br />
in the household economy more than others</P><br />
<P STYLE="margin-bottom: 0in">          (Hawkes et al. 1995a). In<br />
some environments, children can dig their own</P><br />
<P STYLE="margin-bottom: 0in">          tubers and pick their own<br />
fruit. In other environments, children foragers</P><br />
<P STYLE="margin-bottom: 0in">          are endangered by the<br />
elements or frustrated by difﬁcult or costly forag-</P><br />
<P STYLE="margin-bottom: 0in">          ing tasks. When children can<br />
produce their own food, they reduce the</P></p>
<p><P STYLE="margin-bottom: 0in">          physical and economic burdens<br />
on adults, potentially facilitating adults’</P><br />
<P STYLE="margin-bottom: 0in">          future reproduction (Nag et<br />
al. 1978; Kramer and Boone 2002). Ecological</P><br />
<P STYLE="margin-bottom: 0in">          variation in children’s<br />
work roles may be one of the reasons that forager</P><br />
<P STYLE="margin-bottom: 0in">          fertility rates are so<br />
variable (Kelly 1995:206-208; but see Early 1985).</P><br />
<P STYLE="margin-bottom: 0in">             Kaplan and colleagues<br />
(Kaplan 1997; Kaplan et al. 2000) argue that de-</P><br />
<P STYLE="margin-bottom: 0in">          layed reproduction and a<br />
lengthened juvenile period were favored by nat-</P></p>
<p><P STYLE="margin-bottom: 0in">          ural selection because of the<br />
mortality-reducing beneﬁts of a long learning</P><br />
<P STYLE="margin-bottom: 0in">          time, to learn how to forage<br />
for high-quality foods. They note that while</P><br />
<P STYLE="margin-bottom: 0in">          other apes forage primarily<br />
for “collected” resources such as fruits and fo-</P><br />
<P STYLE="margin-bottom: 0in">          liage that are easy to<br />
procure and low in food value, humans specialize on</P><br />
<P STYLE="margin-bottom: 0in">          “extracted” resources<br />
such as tubers, roots, nuts, honey, and hunted game</P><br />
<P STYLE="margin-bottom: 0in">          that are difﬁcult to<br />
procure and high in food value. They argue that human</P></p>
<p><P STYLE="margin-bottom: 0in">          foraging is so<br />
skill-intensive that it takes most of the lifetime to learn, so</P><br />
<P STYLE="margin-bottom: 0in">          that children’s foraging is<br />
more about learning than food procurement.</P><br />
<P STYLE="margin-bottom: 0in">          Their model leads to two<br />
predictions. First, children and adolescents are</P><br />
<P STYLE="margin-bottom: 0in">          dependent on adults’<br />
foraging success, and particularly men’s large game</P><br />
<P STYLE="margin-bottom: 0in">          hunting, to meet their food<br />
needs. Kaplan (1997) found that in three</P><br />
<P STYLE="margin-bottom: 0in">          neotropical foraging<br />
societies, Machiguenga, Piro, and Ache, young peo-</P></p>
<p><P STYLE="margin-bottom: 0in">          ple do not reach the age of<br />
positive net production until around the age of</P><br />
<P STYLE="margin-bottom: 0in">          20. Second, because<br />
age-related increases in foraging success are primarily</P><br />
<P STYLE="margin-bottom: 0in">          the result of increased<br />
learned skill, foragers ought to continually improve</P><br />
<P STYLE="margin-bottom: 0in">          even once they have stopped<br />
growing, achieving mastery at middle age.</P><br />
<P STYLE="margin-bottom: 0in">          Kaplan et al. (2000) claim<br />
that Hiwi women of Venezuela master root dig-</P><br />
<P STYLE="margin-bottom: 0in">          ging at around ages 35 to 45,<br />
and Hiwi males master honey foraging at age</P></p>
<p><P STYLE="margin-bottom: 0in">          25. Hambukushu of the<br />
Kalahari master mongongo nut cracking at age 35.</P><br />
<P STYLE="margin-bottom: 0in">          Ache women of Paraguay reach<br />
peak palm extraction rates during their</P><br />
<P STYLE="margin-bottom: 0in">          early twenties. A more<br />
thorough study of Ache men (Walker et al. 2002)</P><br />
<P STYLE="margin-bottom: 0in">          combining longitudinal<br />
hunting data with an archery contest showed that</P><br />
<P STYLE="margin-bottom: 0in">          men almost always increase in<br />
foraging efﬁciency with age, and that</P><br />
<P STYLE="margin-bottom: 0in">          archery skill peaks around<br />
age 40.</P></p>
<p><P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 149</P><br />
<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                 149</P><br />
<P STYLE="margin-bottom: 0in"><br />
     Growing up Mikea</P><br />
<P STYLE="margin-bottom: 0in">                 Other researchers have<br />
disagreed with parts of the theory advanced by</P><br />
<P STYLE="margin-bottom: 0in">             Kaplan and his colleagues.<br />
Hawkes and her colleagues disagree that house-</P></p>
<p><P STYLE="margin-bottom: 0in">             holds depend on men for<br />
food and that male hunting is an efﬁcient strat-</P><br />
<P STYLE="margin-bottom: 0in">             egy for provisioning a<br />
household (Hawkes 1990, 1991, 1993, 2001; Hawkes</P><br />
<P STYLE="margin-bottom: 0in">             et al. 1991, 2001a,<br />
2001b). They argue that hunted meat is a poor resource</P><br />
<P STYLE="margin-bottom: 0in">             choice for feeding<br />
children because daily hunting success is highly vari-</P><br />
<P STYLE="margin-bottom: 0in">             able, and children need to<br />
eat every day. When hunters are successful, they</P><br />
<P STYLE="margin-bottom: 0in">             are obliged to give most<br />
of their meat away and cannot control the distri-</P></p>
<p><P STYLE="margin-bottom: 0in">             bution. Hawkes argues that<br />
men hunt and generously distribute meat be-</P><br />
<P STYLE="margin-bottom: 0in">             cause of ﬁtness-enhancing<br />
beneﬁts that may conﬂict with the cooperative</P><br />
<P STYLE="margin-bottom: 0in">             goals of the household.<br />
Men may hunt as a form of social competition to</P><br />
<P STYLE="margin-bottom: 0in">             win allies, mates, and<br />
deferential treatment for their families. Or they may</P><br />
<P STYLE="margin-bottom: 0in">             hunt as a way to<br />
communicate to others the qualities they possess. Such</P><br />
<P STYLE="margin-bottom: 0in">             communication is “honest”<br />
because men without the advertised qualities</P></p>
<p><P STYLE="margin-bottom: 0in">             ﬁnd hunting success too<br />
costly to mimic (Smith and Bliege Bird 2000; Bliege</P><br />
<P STYLE="margin-bottom: 0in">             Bird et al. 2001; Hawkes<br />
and Bliege Bird 2002; Smith et al. 2003).</P><br />
<P STYLE="margin-bottom: 0in">                 While Kaplan (1997)<br />
ﬁnds that the age of positive net production for</P><br />
<P STYLE="margin-bottom: 0in">             Machiguenga, Piro, and<br />
Ache is around 20, there is good reason to suspect</P><br />
<P STYLE="margin-bottom: 0in">             that this varies among<br />
foraging groups according to environmental cir-</P><br />
<P STYLE="margin-bottom: 0in">             cumstances. Ju/’hoansi<br />
San children near the Botswana/Namibia border</P></p>
<p><P STYLE="margin-bottom: 0in">             rarely accompany adult<br />
mongongo nut foragers, while Hadza children of</P><br />
<P STYLE="margin-bottom: 0in">             the Eastern Rift Valley of<br />
Tanzania are active foragers of baobab fruit and</P><br />
<P STYLE="margin-bottom: 0in">             wild tubers and berries<br />
(Blurton Jones et al. 1989, 1994a, 1994b; Hawkes et</P><br />
<P STYLE="margin-bottom: 0in">             al. 1995a) Even if it does<br />
take a lifetime to learn how to forage, one would</P><br />
<P STYLE="margin-bottom: 0in">             expect Hadza to achieve<br />
positive net production at an earlier age than San.</P><br />
<P STYLE="margin-bottom: 0in">                 While Kaplan et al.<br />
(2000) argue that juveniles forage less productively</P></p>
<p><P STYLE="margin-bottom: 0in">             than adults because they<br />
have not yet learned to forage efﬁciently, others</P><br />
<P STYLE="margin-bottom: 0in">             argue that children make<br />
optimal foraging decisions for foragers of their</P><br />
<P STYLE="margin-bottom: 0in">             smaller size and lesser<br />
strength. Bird and Bliege Bird (2002) note that</P><br />
<P STYLE="margin-bottom: 0in">             among intertidal<br />
collectors in the Torres Straits, Australia, children are less</P><br />
<P STYLE="margin-bottom: 0in">             selective reef ﬂat<br />
collectors than are adults. Children gather almost all ed-</P><br />
<P STYLE="margin-bottom: 0in">             ible species of shellﬁsh,<br />
while adults target speciﬁc high-yielding Hippopus</P></p>
<p><P STYLE="margin-bottom: 0in">             species. This difference<br />
is consistent with the predictions of the prey choice</P><br />
<P STYLE="margin-bottom: 0in">             model from optimal<br />
foraging theory (MacArthur and Pianka 1966;</P><br />
<P STYLE="margin-bottom: 0in">             Schoener 1971; Stephens<br />
and Krebs 1986). Because children are slower,</P><br />
<P STYLE="margin-bottom: 0in">             their encounter rate for<br />
highly ranked resources such as Hippopus is effec-</P><br />
<P STYLE="margin-bottom: 0in">             tively lower than that of<br />
adults, so they include more species in their diet</P><br />
<P STYLE="margin-bottom: 0in">             breadth.</P></p>
<p><P STYLE="margin-bottom: 0in">                 In another study of<br />
this population, Bliege Bird and Bird (2002b) con-</P><br />
<P STYLE="margin-bottom: 0in">             trast age-related trends<br />
in foraging efﬁciency for activities that are cogni-</P><br />
<P STYLE="margin-bottom: 0in">             tively challenging but<br />
physically easy, such as ﬁshing and spearﬁshing,</P><br />
<P STYLE="margin-bottom: 0in">             versus activities that are<br />
cognitively easy but physically difﬁcult, such as</P><br />
<P STYLE="margin-bottom: 0in">             shellﬁsh collecting.<br />
Their data reveal signiﬁcantly stronger age-related</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 150</P></p>
<p><P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in">          150                      Bram<br />
Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">          trends in the latter,<br />
suggesting that strength is the more important deter-</P><br />
<P STYLE="margin-bottom: 0in">          minant than learning for<br />
these marine exploitation tasks.</P><br />
<P STYLE="margin-bottom: 0in">             Our goal with this chapter<br />
is to examine children’s foraging behavior in</P><br />
<P STYLE="margin-bottom: 0in">          what is probably one of the<br />
best environments for young foragers. The</P></p>
<p><P STYLE="margin-bottom: 0in">          Mikea Forest of southwestern<br />
Madagascar is a safe place for children.</P><br />
<P STYLE="margin-bottom: 0in">          The dense dry tropical forest<br />
contains almost no predators and few poi-</P><br />
<P STYLE="margin-bottom: 0in">          sonous plants and animals.<br />
Within this forest, Mikea forage for wild tubers,</P><br />
<P STYLE="margin-bottom: 0in">          small game, and honey in<br />
addition to cultivating maize and manioc, herd-</P><br />
<P STYLE="margin-bottom: 0in">          ing livestock, and<br />
participating in market-oriented activities. Mikea chil-</P><br />
<P STYLE="margin-bottom: 0in">          dren as young as four or ﬁve<br />
successfully unearth wild Dioscorea tubers for</P></p>
<p><P STYLE="margin-bottom: 0in">          household consumption. Mikea<br />
children tuber foragers have exceptionally</P><br />
<P STYLE="margin-bottom: 0in">          high net acquisition rates,<br />
averaging between 536 net kilocalories/hour for</P><br />
<P STYLE="margin-bottom: 0in">          girls and 504 net<br />
kilocalories/hour for boys. As such, the Mikea example</P><br />
<P STYLE="margin-bottom: 0in">          offers a potentially<br />
interesting test case for theories of juvenile dependency</P><br />
<P STYLE="margin-bottom: 0in">          and foraging strategies.</P><br />
<P STYLE="margin-bottom: 0in">             We present scan-sampling<br />
time allocation data and foraging return rate</P></p>
<p><P STYLE="margin-bottom: 0in">          data from the Mikea community<br />
of Behisatse. We ﬁnd that while Mikea</P><br />
<P STYLE="margin-bottom: 0in">          children experience over<br />
twice as much leisure time as do adolescents and</P><br />
<P STYLE="margin-bottom: 0in">          adults, they allocate similar<br />
time to foraging, especially for the wild tuber</P><br />
<P STYLE="margin-bottom: 0in">          called ovy (Dioscorea<br />
acuminata). Mikea children make a signiﬁcant contri-</P><br />
<P STYLE="margin-bottom: 0in">          bution to the household food<br />
procurement effort. Although they do not</P><br />
<P STYLE="margin-bottom: 0in">          appear to achieve positive<br />
net production, it is possible that they are capa-</P></p>
<p><P STYLE="margin-bottom: 0in">          ble of doing so, at least<br />
during some seasons. Mikea children harvest ovy</P><br />
<P STYLE="margin-bottom: 0in">          patches with strategies that<br />
are optimal for their lower strength and skill,</P><br />
<P STYLE="margin-bottom: 0in">          as predicted by Charnov’s<br />
marginal value theorem (Charnov 1976). We</P><br />
<P STYLE="margin-bottom: 0in">          conclude by questioning<br />
whether “efﬁciency” is commensurate with chil-</P><br />
<P STYLE="margin-bottom: 0in">          dren’s foraging goals.<br />
Rather than children’s foraging excursions being</P><br />
<P STYLE="margin-bottom: 0in">          rigorous training sessions,<br />
children appear to forage as a leisure activity,</P></p>
<p><P STYLE="margin-bottom: 0in">          an extension of play.</P><br />
<P STYLE="margin-bottom: 0in">                             II. THE<br />
MIKEA OF MADAGASCAR</P><br />
<P STYLE="margin-bottom: 0in">          The southwest coast of<br />
Madagascar is a heterogeneous dry environment</P><br />
<P STYLE="margin-bottom: 0in">          conducive to foraging (Figure<br />
7.1). The landscape is a mosaic of dense, dry,</P><br />
<P STYLE="margin-bottom: 0in">          deciduous forest covered in<br />
vines; anthropogenic clearings residual from</P><br />
<P STYLE="margin-bottom: 0in">          agricultural and herding<br />
activities; thorny forests of octopus trees (Didiera</P></p>
<p><P STYLE="margin-bottom: 0in">          madagascariensis) on sandy<br />
dunes; open savanna and savanna woodland;</P><br />
<P STYLE="margin-bottom: 0in">          grassy lakebed pans; and<br />
dense coastal mangrove swamps. For the past</P><br />
<P STYLE="margin-bottom: 0in">          four or more centuries, the<br />
Mikea Forest has provided refuge and suste-</P><br />
<P STYLE="margin-bottom: 0in">          nance to Malagasy escaping<br />
political, personal, or economic crises. During</P><br />
<P STYLE="margin-bottom: 0in">          the 17th through 19th<br />
centuries, southern and western Madagascar was</P><br />
<P STYLE="margin-bottom: 0in">          dominated by several<br />
cattle-herding kingdoms. Petty elites raided each</P></p>
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Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in"><br />
               Growing up Mikea</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                        ~     ~</P><br />
<P STYLE="margin-bottom: 0in"><br />
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<p>              ~</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>              ~~</P><br />
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<p>                                 Mozambique</P><br />
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<p>                                            y Floodp la i n</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                           Chan</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>    ~</P><br />
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<p>    ~~</P></p>
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<p>      nel</P><br />
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<p>                                                    d9</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                       151</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                  ~</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                oa</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                        ~~</P></p>
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<p>                                         ~</P><br />
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<p>                                 tio</P></p>
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<p>                               ~~</P><br />
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<p>                          ~ ~~</P><br />
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<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>           &#8212;&#8212;</P><br />
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<p>            &#8212;&#8211;</P><br />
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<p>           &#8212;-</P><br />
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<p>                                                          Roa</P><br />
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<p>             ~</P><br />
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<p>          Be</P><br />
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<p>                                                          fan</P><br />
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<p>                                                           d9</P><br />
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<p>                                                                dr</P><br />
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<p>                                                 iver</P><br />
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<p>                     Iovy R</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>     Iov</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>         ~</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>         ~</P><br />
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<p>       -</P><br />
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<p>     -</P><br />
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<p>                                                                &#8212;&#8211;<br />
  -</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>  ~</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>  -</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>~</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                         &#8211;</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                         ~-</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                           ~-</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                        -~</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                         -</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                        &#8211;<br />
                                                           a</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                           s in</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                         -B</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                     (Other forest camps</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                         throughout)</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                              rest</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                       Behisatse</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                  Vorehe</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                 (Market)</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                          onal</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                            N a mon t e</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                 Nati</P><br />
<P STYLE="margin-bottom: 0in">                                   -</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                  -</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                -</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                 -</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                &#8211;</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                            Mike</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                a Fo</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                 Androka River</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                            r</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                         ive</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                       oR</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                     mb</P><br />
<P STYLE="margin-bottom: 0in"><br />
~</P><br />
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                                                   no</P><br />
<P STYLE="margin-bottom: 0in">                        N<br />
                                              Ma</P><br />
<P STYLE="margin-bottom: 0in">                    SCALE</P><br />
<P STYLE="margin-bottom: 0in">                    Kilometers</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
  ~~</P><br />
<P STYLE="margin-bottom: 0in"><br />
    ~</P><br />
<P STYLE="margin-bottom: 0in">                    0    5   10</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                Savanna</P><br />
<P STYLE="margin-bottom: 0in"><br />
                            ~</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           ~</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                             ~</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                Dunes and thorny scrub</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                Dry forest</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                (mixed deciduous /</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                euphorb / thorn)</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>      ~~~~</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>       ~~~~</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>              Permanent standing water</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                         er</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                      Fiherena Riv</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>      ~~~~</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>       ~~~~</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>      ~~~~</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>       ~~~~</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>      &#8212;&#8212;</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>       &#8212;&#8211;</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>              Lakebed</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>      &#8212;&#8212;</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>       &#8212;&#8211;</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>      &#8212;&#8212;</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              :</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               ~</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               ~~</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                  d9</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                al Roa</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                ~~</P><br />
<P STYLE="margin-bottom: 0in"><br />
                               Nation</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                ~</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                ~~</P><br />
<P STYLE="margin-bottom: 0in"><br />
                        TOLIARA</P></p>
<p><P STYLE="margin-bottom: 0in">             Figure 7.1. Map of the<br />
Mikea Forest, with placenames mentioned in text. Ap-</P><br />
<P STYLE="margin-bottom: 0in">                 proximate forest<br />
extent based on 1994 Landsat imagery processed by</P><br />
<P STYLE="margin-bottom: 0in">                 James Yount.</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 152</P><br />
<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in">          152<br />
Bram Tucker and Alyson G. Young</P></p>
<p><P STYLE="margin-bottom: 0in">          other for booty of cattle and<br />
slaves within each polity, uniting periodically</P><br />
<P STYLE="margin-bottom: 0in">          in warfare against<br />
neighboring polities (de Flacourt [1660] 1908; Drury</P><br />
<P STYLE="margin-bottom: 0in">          [1729] 1826; Fagereng 1950).<br />
Cattle and slaves were sold to passing Euro-</P><br />
<P STYLE="margin-bottom: 0in">          pean ships in exchange for<br />
glass beads, silver coins, and ﬁrearms (Parker</P><br />
<P STYLE="margin-bottom: 0in">          Pearson 1997). Today’s<br />
Mikea are the descendants of neighboring Masi-</P><br />
<P STYLE="margin-bottom: 0in">          koro herders and Vezo<br />
ﬁshermen who ﬂed into the forest to resist tribute</P></p>
<p><P STYLE="margin-bottom: 0in">          demands and threats of<br />
slavery and livestock loss, or in other cases, to</P><br />
<P STYLE="margin-bottom: 0in">          avoid interpersonal disputes<br />
and accusations of witchcraft. Other Mala-</P><br />
<P STYLE="margin-bottom: 0in">          gasy became Mikea during the<br />
twentieth century, when they adopted for-</P><br />
<P STYLE="margin-bottom: 0in">          est residence and foraging as<br />
an alternative to French colonial policies of</P><br />
<P STYLE="margin-bottom: 0in">          forced relocation, taxation,<br />
and mandatory labor (Yount et al. 2001; Tucker</P><br />
<P STYLE="margin-bottom: 0in">          2003). Mikea are foragers of<br />
recent vintage.</P></p>
<p><P STYLE="margin-bottom: 0in">              For most Malagasy, the<br />
word “Mikea” connotes a forest-dwelling</P><br />
<P STYLE="margin-bottom: 0in">          hunter-gatherer (Poyer and<br />
Kelly 2000; Yount et al. 2001). Mikea forage for</P><br />
<P STYLE="margin-bottom: 0in">          a wide variety of tubers<br />
(Dioscorea bemandry, Tacca pinnatiﬁda, others), but</P><br />
<P STYLE="margin-bottom: 0in">          the ovy tuber Dioscorea<br />
acuminata is the most important foraged food</P><br />
<P STYLE="margin-bottom: 0in">          source.1 Other gathered foods<br />
include honey, wild cucurbits, baobab fruit</P><br />
<P STYLE="margin-bottom: 0in">          (Adasonia digitata), and a<br />
few other wild fruits (Flacourtia indica, Zizyphus</P></p>
<p><P STYLE="margin-bottom: 0in">          vulgaris). There are no large<br />
game animals in the Mikea Forest except for</P><br />
<P STYLE="margin-bottom: 0in">          the exceedingly rare wild<br />
boar (Potamocorus larvatus). Small game include</P><br />
<P STYLE="margin-bottom: 0in">          a variety of birds (Numida<br />
meleagris, Lophotibis cristata, Coua coquereli, oth-</P><br />
<P STYLE="margin-bottom: 0in">          ers) and small mammals,<br />
including tenrecs (Tenrec ecaudatus, Echinops</P><br />
<P STYLE="margin-bottom: 0in">          telfairi, Setifer setosus),<br />
feral cats (Felis sylvestris), and lemurs (Chierogaleus</P><br />
<P STYLE="margin-bottom: 0in">          medius, Microcebus murinus,<br />
Lepilemur ruﬁcaudatus). Mikea also forage in</P></p>
<p><P STYLE="margin-bottom: 0in">          the intertidal zone for ﬁsh,<br />
crabs, octopus, and sea cucumbers (for more</P><br />
<P STYLE="margin-bottom: 0in">          details, see Tucker 2001).</P><br />
<P STYLE="margin-bottom: 0in">              Despite their reputation<br />
as forest-dwelling foragers, all Mikea house-</P><br />
<P STYLE="margin-bottom: 0in">          holds rely to some extent on<br />
nonforaging activities. Their most signiﬁcant</P><br />
<P STYLE="margin-bottom: 0in">          agricultural ventures include<br />
slash-and-burn maize agriculture in the for-</P><br />
<P STYLE="margin-bottom: 0in">          est, and semi-intensive<br />
manioc cultivation in the savanna and lakebeds.</P></p>
<p><P STYLE="margin-bottom: 0in">          Many households own cattle,<br />
goats, chickens, and guinea fowl, and more</P><br />
<P STYLE="margin-bottom: 0in">          rarely, turkeys, ducks, and<br />
swine. Mikea are regular participants in the</P><br />
<P STYLE="margin-bottom: 0in">          local market economy. They<br />
sell their production at weekly village mar-</P><br />
<P STYLE="margin-bottom: 0in">          kets such as the Wednesday<br />
market in Vorehe, where they purchase to-</P><br />
<P STYLE="margin-bottom: 0in">          bacco, soap, clothing, and<br />
other necessities. Many practice mobile</P><br />
<P STYLE="margin-bottom: 0in">          retailing, purchasing goods<br />
in one place to resell at a markup elsewhere.</P></p>
<p><P STYLE="margin-bottom: 0in">          Mikea also participate in the<br />
labor market. Mikea girls replant rice shoots,</P><br />
<P STYLE="margin-bottom: 0in">          boys guard cattle, and men do<br />
agricultural or herding labor for neighbor-</P><br />
<P STYLE="margin-bottom: 0in">          ing villagers.</P><br />
<P STYLE="margin-bottom: 0in">              The data discussed in<br />
this chapter were collected in the Mikea hamlet of</P><br />
<P STYLE="margin-bottom: 0in">          Behisatse,2 a group of<br />
bark-thatched huts in the north-central part of the</P><br />
<P STYLE="margin-bottom: 0in">          Mikea Forest. Mikea<br />
households are mobile, moving ﬂexibly throughout</P></p>
<p><P STYLE="margin-bottom: 0in">          the year to tend economic<br />
activities at multiple sites. During the study pe-</P><br />
<P STYLE="margin-bottom: 0in">          riods in 1996–99, eleven<br />
different households resided at Behisatse for a</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 153</P><br />
<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                153</P><br />
<P STYLE="margin-bottom: 0in"><br />
      Growing up Mikea</P></p>
<p><P STYLE="margin-bottom: 0in">             month or more. They used<br />
Behisatse as a home base when foraging for ovy</P><br />
<P STYLE="margin-bottom: 0in">             and attending<br />
slash-and-burn maize ﬁelds and goat herds. Other locations</P><br />
<P STYLE="margin-bottom: 0in">             in their yearly round<br />
included the villages of the Iovy Floodplain, where</P><br />
<P STYLE="margin-bottom: 0in">             they tended manioc ﬁelds<br />
and performed wage labor; and the villages and</P><br />
<P STYLE="margin-bottom: 0in">             hamlets of the Namonte<br />
Basin, where they attended family ceremonies,</P><br />
<P STYLE="margin-bottom: 0in">             foraged in the lakes and<br />
dunes, tended livestock, and occasionally planted</P></p>
<p><P STYLE="margin-bottom: 0in">             small gardens in the<br />
lakebeds. Many households also spent time in other</P><br />
<P STYLE="margin-bottom: 0in">             forest hamlets and camps<br />
functionally similar to Behisatse, hosted by in-</P><br />
<P STYLE="margin-bottom: 0in">             laws. Some practiced<br />
complete nomadic foraging for a week or two each</P><br />
<P STYLE="margin-bottom: 0in">             year.</P><br />
<P STYLE="margin-bottom: 0in">                 Our data sample across<br />
the four seasons recognized by the Mikea.</P><br />
<P STYLE="margin-bottom: 0in">             Eighty-ﬁve to 95 percent<br />
of rainfall falls within the wet season, litsake</P></p>
<p><P STYLE="margin-bottom: 0in">             (December–February).<br />
Rainfall varies stochastically from 100 to 1500 mm</P><br />
<P STYLE="margin-bottom: 0in">             per year (Tucker 2001).<br />
The rest of the year is divided into an early dry sea-</P><br />
<P STYLE="margin-bottom: 0in">             son, fararano (March-May);<br />
a middle dry season, asotre (May-August); and</P><br />
<P STYLE="margin-bottom: 0in">             a late dry season, faosa<br />
(August-December). The dry seasons differ signiﬁ-</P><br />
<P STYLE="margin-bottom: 0in">             cantly by temperature.<br />
Temperatures in fararano are similar to those of lit-</P><br />
<P STYLE="margin-bottom: 0in">             sake (mean 33, min 21,<br />
maximum 41&deg; C). Asotre is the southern winter and</P></p>
<p><P STYLE="margin-bottom: 0in">             is the coolest season of<br />
the year (mean 26, minimum 7, maximum 36&deg; C).</P><br />
<P STYLE="margin-bottom: 0in">             Faosa is the hottest<br />
season (mean 33, minimum 18, maximum 42&deg; C).3</P><br />
<P STYLE="margin-bottom: 0in">                            III.<br />
METHODS, ANALYSES, AND RESULTS</P><br />
<P STYLE="margin-bottom: 0in">             A. Age Classiﬁcation</P><br />
<P STYLE="margin-bottom: 0in">                 Exact age of the study<br />
subjects is unknown. Instead, we use age rank</P></p>
<p><P STYLE="margin-bottom: 0in">             order to explore<br />
age-related trends, and an age classiﬁcation scheme in</P><br />
<P STYLE="margin-bottom: 0in">             tests of signiﬁcant<br />
differences. Our categories correspond roughly to those</P><br />
<P STYLE="margin-bottom: 0in">             used by Mikea when<br />
describing people’s age. These categories can be fur-</P><br />
<P STYLE="margin-bottom: 0in">             ther distinguished by<br />
weaning status, degree of personal mobility, and</P><br />
<P STYLE="margin-bottom: 0in">             marital status:</P><br />
<P STYLE="margin-bottom: 0in">                 • Infant (aja mena):<br />
Babies that have not yet been weaned, and have no</P></p>
<p><P STYLE="margin-bottom: 0in">                   mobility beyond that<br />
supplied by caretakers. Infants do not forage or</P><br />
<P STYLE="margin-bottom: 0in">                   engage in any other<br />
work.</P><br />
<P STYLE="margin-bottom: 0in">                 • Children (olo<br />
kely): Children who are weaned and prepubescent, are</P><br />
<P STYLE="margin-bottom: 0in">                   mobile enough to<br />
leave camp and travel/work with others in the en-</P><br />
<P STYLE="margin-bottom: 0in">                   virons of the camp,<br />
but are not old enough to travel alone.</P><br />
<P STYLE="margin-bottom: 0in">                 • Adolescents (olo<br />
be-be; kidabo lahy): Young people nearing, experienc-</P></p>
<p><P STYLE="margin-bottom: 0in">                   ing, or just past<br />
puberty, unmarried, with complete independent per-</P><br />
<P STYLE="margin-bottom: 0in">                   sonal mobility, who<br />
can travel to the well or to the market alone. They</P><br />
<P STYLE="margin-bottom: 0in">                   frequently talk<br />
about marriage and sex. Some are sexually active.</P><br />
<P STYLE="margin-bottom: 0in">                 • Adults (olo be):<br />
Married people and parents.</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 154</P><br />
<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P></p>
<p><P STYLE="margin-bottom: 0in">          154<br />
Bram Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">          B. Time Allocation</P><br />
<P STYLE="margin-bottom: 0in">              Scan-sampling time<br />
allocation data were collected in the Mikea hamlet</P><br />
<P STYLE="margin-bottom: 0in">          of Behisatse during eight<br />
noncontiguous months between 1996 and 1999</P><br />
<P STYLE="margin-bottom: 0in">          (see Table 7.1). The<br />
procedure worked as follows. “Sampling months” con-</P><br />
<P STYLE="margin-bottom: 0in">          sisted of 19- to 24-day<br />
blocks during which the research team resided at</P></p>
<p><P STYLE="margin-bottom: 0in">          Behisatse. “Sampling<br />
events” were half-hour increments spanning day-</P><br />
<P STYLE="margin-bottom: 0in">          light time, which was from<br />
6:00 to 18:30 during summer months and 6:30</P><br />
<P STYLE="margin-bottom: 0in">          to 18:00 during winter<br />
months. A randomized schedule of sampling events</P><br />
<P STYLE="margin-bottom: 0in">          was constructed at the<br />
beginning of each sampling month. All sampling</P><br />
<P STYLE="margin-bottom: 0in">          events were scheduled twice<br />
during each month so that we sampled twice</P><br />
<P STYLE="margin-bottom: 0in">          or three times per day,<br />
either 52 times (summer) or 48 times (winter) per</P></p>
<p><P STYLE="margin-bottom: 0in">          month.</P><br />
<P STYLE="margin-bottom: 0in">              During each sampling<br />
event, we recorded the location and behavior of</P><br />
<P STYLE="margin-bottom: 0in">          Behisatse residents and<br />
visitors of all ages. Our direct observation was lim-</P><br />
<P STYLE="margin-bottom: 0in">          ited to in-camp activities,<br />
which we categorize as leisure and housework.</P><br />
<P STYLE="margin-bottom: 0in">          If people were absent from<br />
the camp at the time of the observation, their</P><br />
<P STYLE="margin-bottom: 0in">          location was recorded as “not<br />
in camp” and the purpose of their absence</P></p>
<p><P STYLE="margin-bottom: 0in">          was ascertained through<br />
subsequent observation and interview. People</P><br />
<P STYLE="margin-bottom: 0in">           Table 7.1  Summary of Time<br />
Allocation Sampling Strategy</P><br />
<P STYLE="margin-bottom: 0in"><br />
 No. of    No. of       No. of</P><br />
<P STYLE="margin-bottom: 0in"><br />
 days    observation     data   Average</P><br />
<P STYLE="margin-bottom: 0in">           Month &amp; year      Dates<br />
                times       points population   Season</P></p>
<p><P STYLE="margin-bottom: 0in">           Jul 1996        Jul 7–15,<br />
    24          48          672    23.19      Asotre,</P><br />
<P STYLE="margin-bottom: 0in">                          19–Aug 3<br />
                                            Middle dry</P><br />
<P STYLE="margin-bottom: 0in">           Nov 1997      1–10, 14–18,<br />
    24          52        1071     21.38      Faosa,</P><br />
<P STYLE="margin-bottom: 0in">                            20–28<br />
                                             Late dry</P><br />
<P STYLE="margin-bottom: 0in">           Jan–Feb 1998   Jan 8–15,<br />
      19          52         1136    23.54      Litsake,</P><br />
<P STYLE="margin-bottom: 0in">                        22–29; Feb 7,<br />
                                            Wet season</P></p>
<p><P STYLE="margin-bottom: 0in">                             8, 14</P><br />
<P STYLE="margin-bottom: 0in">           Mar 1998      5–10, 12–16,<br />
    20          52         1139    36.30     Fararano,</P><br />
<P STYLE="margin-bottom: 0in">                            21–29<br />
                                            Early dry</P><br />
<P STYLE="margin-bottom: 0in">           July 1998    Jun 30–Jul 2,<br />
    22          48          720    17.15      Asotre</P><br />
<P STYLE="margin-bottom: 0in">                         8–14, 16–20,<br />
                                            Middle dry</P><br />
<P STYLE="margin-bottom: 0in">                            24–28,</P></p>
<p><P STYLE="margin-bottom: 0in">                          30–Aug 1</P><br />
<P STYLE="margin-bottom: 0in">           Oct 1998          6–26<br />
    20          48          547    12.88      Faosa,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                           Late dry</P><br />
<P STYLE="margin-bottom: 0in">           May 1999      9–17, 20–30<br />
     20          48          771    16.67      Asotre,</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                          Middle dry</P><br />
<P STYLE="margin-bottom: 0in">           July 1999    Jun 27–Jul 17<br />
    21          48          581    12.19      Asotre,</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                          Middle dry</P><br />
<P STYLE="margin-bottom: 0in">           TOTAL<br />
                        6637</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 155</P><br />
<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in">             were either absent for a<br />
few hours, usually on a food production chore</P><br />
<P STYLE="margin-bottom: 0in">             near camp (foraging,<br />
farming, or herding). Or they were away for a few</P></p>
<p><P STYLE="margin-bottom: 0in">             days, often with a speciﬁc<br />
objective in mind (tending ﬁelds in other loca-</P><br />
<P STYLE="margin-bottom: 0in">             tions, attending the<br />
market, attending a ceremony, etc). Visitors are ex-</P><br />
<P STYLE="margin-bottom: 0in">             cluded from the current<br />
analyses, for they likely behave differently than</P><br />
<P STYLE="margin-bottom: 0in">             residents. Infants are<br />
also excluded, since by our deﬁnition they do no</P><br />
<P STYLE="margin-bottom: 0in">             work. The resulting<br />
dataset includes 6637 observations of 46 individuals.4</P><br />
<P STYLE="margin-bottom: 0in">             Figure 7.2 summarizes<br />
these data by age and sex. Data are expressed as</P></p>
<p><P STYLE="margin-bottom: 0in">             percents of the total<br />
number of observations within each age/sex category.</P><br />
<P STYLE="margin-bottom: 0in">             Figure 7.3 examines time<br />
allocation to food production activities in further</P><br />
<P STYLE="margin-bottom: 0in">             detail. We make four<br />
observations from these data:</P><br />
<P STYLE="margin-bottom: 0in">                1. Children spend their<br />
time differently than people in older age cate-</P><br />
<P STYLE="margin-bottom: 0in">                   gories, while there<br />
is little difference between adolescent and adult</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>Food Production</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                       Housework</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                 17.0 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>Housework 8.8 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                155</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>               Males</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                       Other/Unknown</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                         Away</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                  19.1 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                  Housework</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                            26.9 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>          Away</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>Leisure Leisure</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                   Adults</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                          Other/Unknown</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                        22.1 %<br />
         36.6 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                               27.6 %<br />
 30.2 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                Food Production</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                23.4 %</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                  Food Production<br />
                Food Production</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                   20.1 %<br />
                                24.6 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                Other/Unknown          Other/Unknown</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                              Away  Leisure<br />
Away</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                            Leisure</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                 Adolescents 19.9 %</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                    36.8 %<br />
34.3 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                            31.8 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>         Children</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                     100</P><br />
<P STYLE="margin-bottom: 0in"><br />
Other/Unknown</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                              Away<br />
9.4 %</P></p>
<p><P STYLE="margin-bottom: 0in">                                Food<br />
Production</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>   8.4 %</P><br />
<P STYLE="margin-bottom: 0in"><br />
Housework 7.9 %</P><br />
<P STYLE="margin-bottom: 0in"><br />
                Growing up Mikea</P><br />
<P STYLE="margin-bottom: 0in"><br />
        Females</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                         60</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                            Leisure</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                            71.6 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                             40</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                    20</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                          Leisure</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                           61.8 %</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>            80</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                     0</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>               20</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                       Housework 5.5 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                  40</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                     60</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                     80</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>            100</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                     Percent daylight time allocated</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              Housework 5.8 %</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                              Food<br />
Production</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>         15.4 %</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                              Away<br />
13.1 %</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                              Other/Unknown</P><br />
<P STYLE="margin-bottom: 0in">             Figure 7.2. Percent<br />
daylight time allocation by age/sex group. “Leisure” in-</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>          cludes resting, chatting, eating, sleeping, dancing,<br />
smoking, listening to</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>          cassette, playing games, grooming, etc. “Housework”<br />
includes meal</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>          preparation, food processing, direct childcare,<br />
manufacturing and repair-</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>          ing tools and structures, fetching ﬁrewood, fetching<br />
water, etc. “Food pro-</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>          duction” includes foraging, herding, agriculture (see<br />
Figure 3). People</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>          were “Away from camp” to attend ceremonies, markets,<br />
etc.</P><br />
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<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in">          156</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                 25</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                        Herding 1.1 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                         Bram Tucker<br />
and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                           Females<br />
                   Males</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                         5</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                          0</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                         Maize Other<br />
        Other</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                        Tuber<br />
Foraging                Maize</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                         3.9 % Foraging<br />
       Foraging</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                            9.5 %<br />
                6.1 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p> 3.0 %  7.5 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                            Herding</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                    3.5 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                           Adults</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                           Herding 0.8 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                         4.8 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                         Other</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                Tuber</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                             Other<br />
Tuber Foraging</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                      Maize</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                        Adolescents         Foraging</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                      3.7 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                             6.3 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>Herding 0.2 %</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                        Foraging Maize</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>              12.4 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                Maize 1.4 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                Other Foraging</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                               Foraging</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                         6.0 %</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                8.1 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                           2.0 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                           Maize 1.9 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                          Herding</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                    3.4 %  7.1 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                        Tuber</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                                Tuber</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                     Children</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                    20</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                       15</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                          10</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                              5</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                             0</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                              Foraging Foraging</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                        5.6 %</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                4.9 %</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                             5</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                               Other<br />
Foraging</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                     4.3 %</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                10</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>        Herding</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                3.6 %</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                   15</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                         20</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                 25</P><br />
<P STYLE="margin-bottom: 0in"><br />
 Percent daylight time allocated</P><br />
<P STYLE="margin-bottom: 0in">          Figure 7.3. Percent of<br />
daylight time allocated to food production activities, by</P><br />
<P STYLE="margin-bottom: 0in">               age and sex.</P><br />
<P STYLE="margin-bottom: 0in">                time allocation. This<br />
implies that Mikea adopt adult roles around the</P><br />
<P STYLE="margin-bottom: 0in">                age of puberty, many<br />
years before marriage.</P></p>
<p><P STYLE="margin-bottom: 0in">             2. The most important<br />
activity for people in all age/sex groups is</P><br />
<P STYLE="margin-bottom: 0in">                leisure, as is commonly<br />
found in time allocation studies (Johnson</P><br />
<P STYLE="margin-bottom: 0in">                1975; Hill et al. 1985;<br />
Hurtado et al. 1985; Hurtado and Hill 1987:179).</P><br />
<P STYLE="margin-bottom: 0in">                Leisure includes<br />
individual and social non-work activities such as</P><br />
<P STYLE="margin-bottom: 0in">                resting, eating,<br />
playing, chatting, listening to the cassette player, and</P><br />
<P STYLE="margin-bottom: 0in">                playing dominoes.5<br />
Percent time spent in leisure is the main differ-</P></p>
<p><P STYLE="margin-bottom: 0in">                ence between children’s<br />
time allocation and that of older people.</P><br />
<P STYLE="margin-bottom: 0in">                Children enjoy roughly<br />
twice as much leisure time as adolescents or</P><br />
<P STYLE="margin-bottom: 0in">                adults. Figure 7.4<br />
displays the percent of leisure observations for</P><br />
<P STYLE="margin-bottom: 0in">                each of the 46<br />
individuals in the dataset by age rank. There is a clear,</P><br />
<P STYLE="margin-bottom: 0in">                negative relationship<br />
between age and leisure time for both sexes.</P><br />
<P STYLE="margin-bottom: 0in">                The trend is more<br />
linear for females (R2 = 0.82) than males (R2 =</P></p>
<p><P STYLE="margin-bottom: 0in">                0.23), for males appear<br />
to increase leisure time again as they reach</P><br />
<P STYLE="margin-bottom: 0in">                middle age.</P><br />
<P STYLE="margin-bottom: 0in">             3. People in all age/sex<br />
categories make important contributions to</P><br />
<P STYLE="margin-bottom: 0in">                household food<br />
production. Adults and adolescents of both sexes</P><br />
<P STYLE="margin-bottom: 0in">                spend similar amounts<br />
of time on food production tasks, while chil-</P><br />
<P STYLE="margin-bottom: 0in">                dren, especially girls,<br />
spend somewhat less time. The most signiﬁ-</P></p>
<p><P STYLE="margin-bottom: 0in">                cant food production<br />
task for all age/sex groups except adult males</P><br />
<P STYLE="margin-bottom: 0in">                is foraging, and more<br />
speciﬁcally, tuber foraging. Figure 7.5 plots</P><br />
<P STYLE="margin-bottom: 0in">                the percent of tuber<br />
foraging time for each of the 46 individuals in the</P><br />
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<P STYLE="margin-bottom: 0in"><br />
       Growing up Mikea</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                  Age rank</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>157</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                          Female Male</P><br />
<P STYLE="margin-bottom: 0in">               Adults</P><br />
<P STYLE="margin-bottom: 0in"><br />
                40</P><br />
<P STYLE="margin-bottom: 0in"><br />
                30</P></p>
<p><P STYLE="margin-bottom: 0in">               Adolescents<br />
                20</P><br />
<P STYLE="margin-bottom: 0in">               Children</P><br />
<P STYLE="margin-bottom: 0in"><br />
                10</P><br />
<P STYLE="margin-bottom: 0in"><br />
    R-square = 0.83   R-square = 0.23</P><br />
<P STYLE="margin-bottom: 0in">              100        75       50<br />
   25               0              25 50 75       100</P><br />
<P STYLE="margin-bottom: 0in"><br />
Percent daylight time spent in leisure</P></p>
<p><P STYLE="margin-bottom: 0in">             Figure 7.4. Percent of<br />
daylight time that each of the 46 individuals in the time</P><br />
<P STYLE="margin-bottom: 0in">                   allocation dataset<br />
were observed to be engaging in leisure activities, by</P><br />
<P STYLE="margin-bottom: 0in">                   age rank and sex.</P><br />
<P STYLE="margin-bottom: 0in">                    dataset by age<br />
rank. While the ﬁve youngest children spend less time</P><br />
<P STYLE="margin-bottom: 0in">                    digging tubers than<br />
others, beyond this point there is little age-</P><br />
<P STYLE="margin-bottom: 0in">                    related tendency in<br />
time spent tuber foraging (females, R2 = 0.03;</P></p>
<p><P STYLE="margin-bottom: 0in">                    males, R2 = 0.06).</P><br />
<P STYLE="margin-bottom: 0in">                 4. Males and females<br />
do many of the same activities. Differences in sex-</P><br />
<P STYLE="margin-bottom: 0in">                    ual division of<br />
labor are less important for children than for adoles-</P><br />
<P STYLE="margin-bottom: 0in">                    cents and adults.<br />
The main differences between female and male</P><br />
<P STYLE="margin-bottom: 0in">                    labor are time<br />
devoted to housework and herding. Housework, es-</P><br />
<P STYLE="margin-bottom: 0in">                    pecially food<br />
processing and meal preparation, is primarily prac-</P></p>
<p><P STYLE="margin-bottom: 0in">                    ticed by females,<br />
while males do most of the livestock care. Adult</P><br />
<P STYLE="margin-bottom: 0in">                    males spend less<br />
time foraging for tubers and more time foraging for</P><br />
<P STYLE="margin-bottom: 0in">                    honey and small<br />
mammals, although it should be noted that women</P><br />
<P STYLE="margin-bottom: 0in">                    do all the same<br />
foraging activities but less frequently.</P><br />
<P STYLE="margin-bottom: 0in">             C. Foraging Return Rates</P><br />
<P STYLE="margin-bottom: 0in">                 Foraging returns were<br />
monitored during eight time allocation sampling</P></p>
<p><P STYLE="margin-bottom: 0in">             months in 1997–99, and<br />
again during a nine-day period in October 2003.</P><br />
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<P STYLE="margin-bottom: 0in">          158<br />
Bram Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                  Female</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                          Age rank</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                         Male</P><br />
<P STYLE="margin-bottom: 0in">            Adults</P><br />
<P STYLE="margin-bottom: 0in"><br />
          40</P><br />
<P STYLE="margin-bottom: 0in"><br />
          30</P><br />
<P STYLE="margin-bottom: 0in">            Adolescents<br />
          20</P><br />
<P STYLE="margin-bottom: 0in">            Juveniles</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
          10</P><br />
<P STYLE="margin-bottom: 0in">            R-square = 0.03<br />
                                        R-square = 0.06</P><br />
<P STYLE="margin-bottom: 0in">                     30     20<br />
10             0         10        20       30</P><br />
<P STYLE="margin-bottom: 0in">                              Percent<br />
daylight time spent tuber foraging</P><br />
<P STYLE="margin-bottom: 0in">          Figure 7.5. Percent of<br />
daylight time that each of the 46 individuals in the time</P><br />
<P STYLE="margin-bottom: 0in">                allocation dataset were<br />
observed to be foraging for wild tubers, by age</P></p>
<p><P STYLE="margin-bottom: 0in">                rank and sex.</P><br />
<P STYLE="margin-bottom: 0in">          Data were collected in a<br />
foraging log that recorded the time people left</P><br />
<P STYLE="margin-bottom: 0in">          camp to forage, the time they<br />
returned to camp, and the number and</P><br />
<P STYLE="margin-bottom: 0in">          weight of resources captured.<br />
Given the signiﬁcance of wild tuber forag-</P><br />
<P STYLE="margin-bottom: 0in">          ing in the time allocation<br />
data discussed above, we limit discussion to ovy</P><br />
<P STYLE="margin-bottom: 0in">          foraging.</P></p>
<p><P STYLE="margin-bottom: 0in">              People foraged for ovy in<br />
teams of 1 to 12 individuals, with an average</P><br />
<P STYLE="margin-bottom: 0in">          team size of 2.25 people. In<br />
some cases people returned to camp with bun-</P><br />
<P STYLE="margin-bottom: 0in">          dles of tubers representing<br />
their individual effort, while in other cases they</P><br />
<P STYLE="margin-bottom: 0in">          pooled the tubers into team<br />
bundles before returning to camp. During the</P><br />
<P STYLE="margin-bottom: 0in">          1997–99 ﬁeld seasons we<br />
observed 114 team foraging events; of the indi-</P><br />
<P STYLE="margin-bottom: 0in">          viduals within these teams,<br />
128 were clearly carrying tubers they them-</P></p>
<p><P STYLE="margin-bottom: 0in">          selves had procured. In 2003<br />
we sought to enlarge the individual return</P><br />
<P STYLE="margin-bottom: 0in">          rate data. Because our time<br />
was limited to only nine days, we offered a</P><br />
<P STYLE="margin-bottom: 0in">          small cash incentive (500<br />
Malagasy francs, enough to purchase a cup of</P><br />
<P STYLE="margin-bottom: 0in">          coffee and a rice cake in the<br />
market) to foragers each time they allowed us</P><br />
<P STYLE="margin-bottom: 0in">          to weigh their tubers. We<br />
asked that individuals present only the tubers</P><br />
<P STYLE="margin-bottom: 0in">          they dug themselves. We<br />
recorded 124 individual return rates. Parti-</P></p>
<p><P STYLE="margin-bottom: 0in">          cipants received the same<br />
cash gift regardless of how long they spent for-</P><br />
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<P STYLE="margin-bottom: 0in"><br />
                                                159</P><br />
<P STYLE="margin-bottom: 0in"><br />
     Growing up Mikea</P><br />
<P STYLE="margin-bottom: 0in">             aging or how many tubers<br />
they brought back, so these data ought to accu-</P></p>
<p><P STYLE="margin-bottom: 0in">             rately reﬂect<br />
individuals’ return rates. However, the cash incentive en-</P><br />
<P STYLE="margin-bottom: 0in">             couraged people to forage<br />
more frequently, and in teams of different</P><br />
<P STYLE="margin-bottom: 0in">             composition than they<br />
would have normally.</P><br />
<P STYLE="margin-bottom: 0in">                “Foraging success”<br />
is quantiﬁed as net acquisition rate (NAR). Net ac-</P><br />
<P STYLE="margin-bottom: 0in">             quisition rate is the<br />
number of kilocalories harvested minus the caloric costs</P><br />
<P STYLE="margin-bottom: 0in">             of foraging, divided by<br />
the time spent foraging. We converted the weight</P></p>
<p><P STYLE="margin-bottom: 0in">             of tubers harvested into<br />
gross caloric gain using the rate 119 kilocalo-</P><br />
<P STYLE="margin-bottom: 0in">             ries/100 grams, based on a<br />
nutritional analysis of an ovy sample conducted</P><br />
<P STYLE="margin-bottom: 0in">             by Kelly and Poyer (1997).<br />
We estimate the costs of foraging at 4.3 kilocalo-</P><br />
<P STYLE="margin-bottom: 0in">             ries/minute (258<br />
kilocalories/hour). We base this estimate on focal follow</P><br />
<P STYLE="margin-bottom: 0in">             observations in which a<br />
minute-by-minute record was kept of tuber for-</P><br />
<P STYLE="margin-bottom: 0in">             agers’ speciﬁc<br />
actions-walking, digging, etc. The number of minutes spent</P></p>
<p><P STYLE="margin-bottom: 0in">             on each action was<br />
multiplied by the caloric expenditure per minute for</P><br />
<P STYLE="margin-bottom: 0in">             that action using data<br />
from Passmore and Durnin (1955) and Durnin and</P><br />
<P STYLE="margin-bottom: 0in">             Passmore (1967). This<br />
estimate is within the range that Durnin and Pass-</P><br />
<P STYLE="margin-bottom: 0in">             more (1967:47) classify as<br />
“moderate work.” Tuber foraging is more costly</P><br />
<P STYLE="margin-bottom: 0in">             than walking (2.1 to 3.1<br />
kilocalories/minute) and less costly than digging</P><br />
<P STYLE="margin-bottom: 0in">             (5.0 to 10.5<br />
kilocalories/minute), the two main actions involved.6</P></p>
<p><P STYLE="margin-bottom: 0in">                First we explored the<br />
relationship between age and NAR, using the in-</P><br />
<P STYLE="margin-bottom: 0in">             dividual return rate data<br />
from both 1997-99 and 2003. The plots in Figures</P><br />
<P STYLE="margin-bottom: 0in">             7.6a and 7.6b explore age<br />
trends cross-sectionally in each dataset and Fig-</P><br />
<P STYLE="margin-bottom: 0in">             ure 7.7 examines<br />
longitudinal trends for eight individuals who shifted age</P><br />
<P STYLE="margin-bottom: 0in">             categories between<br />
datasets. We offer the following observations:</P><br />
<P STYLE="margin-bottom: 0in">                1. Both cross-sectional<br />
and longitudinal analyses reveal that foraging</P></p>
<p><P STYLE="margin-bottom: 0in">                   efﬁciency<br />
increases with age, for both sexes. Figures 6a and 6b dis-</P><br />
<P STYLE="margin-bottom: 0in">                   play the<br />
cross-sectional data from 1997–99 and 2003 respectively, by</P><br />
<P STYLE="margin-bottom: 0in">                   sex. Age rank<br />
accounted for 18 percent of the variance in NAR for fe-</P><br />
<P STYLE="margin-bottom: 0in">                   males and 39 percent<br />
for males, in 1997–99; it accounted for 48 per-</P><br />
<P STYLE="margin-bottom: 0in">                   cent for females,<br />
and 33 percent for males in the 2003 dataset.</P><br />
<P STYLE="margin-bottom: 0in">                      Combining the two<br />
datasets (N = 254), we examine statistical dif-</P></p>
<p><P STYLE="margin-bottom: 0in">                   ferences in the<br />
means of the age categories with a series of inde-</P><br />
<P STYLE="margin-bottom: 0in">                   pendent t-tests on<br />
log-transformed data (an analysis of variance</P><br />
<P STYLE="margin-bottom: 0in">                   comparing all<br />
categories simultaneously was not possible due to sig-</P><br />
<P STYLE="margin-bottom: 0in">                   niﬁcant<br />
differences in variances even when the data are logarithmi-</P><br />
<P STYLE="margin-bottom: 0in">                   cally transformed).<br />
The data reveal signiﬁcant differences in all</P><br />
<P STYLE="margin-bottom: 0in">                   pairwise<br />
comparisons. Children experienced signiﬁcantly lower</P></p>
<p><P STYLE="margin-bottom: 0in">                   mean NAR than<br />
adolescents (t = 5.923, df = 137, p = .000), and than</P><br />
<P STYLE="margin-bottom: 0in">                   adults (t = 11.372,<br />
df = 111, p = .000). Adolescents averaged signiﬁ-</P><br />
<P STYLE="margin-bottom: 0in">                   cantly lower NAR<br />
than adults (t = 11.372, df = 111, p = .000).</P><br />
<P STYLE="margin-bottom: 0in">                      Longitudinal<br />
trends, differences in eight individuals’ mean NAR</P><br />
<P STYLE="margin-bottom: 0in">                   in 1997–99 versus<br />
2003, are displayed in Figure 7.7. To control for</P><br />
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<p><P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in">          160<br />
Bram Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">            A</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>      Female</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>Age rank</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>             Male</P></p>
<p><P STYLE="margin-bottom: 0in">              Adults<br />
                 40</P><br />
<P STYLE="margin-bottom: 0in"><br />
                 30</P><br />
<P STYLE="margin-bottom: 0in">              Adolescents<br />
                 20</P><br />
<P STYLE="margin-bottom: 0in">              Children</P><br />
<P STYLE="margin-bottom: 0in"><br />
                 10</P><br />
<P STYLE="margin-bottom: 0in">               R-square = 0.17<br />
                                          R-square = 0.39</P></p>
<p><P STYLE="margin-bottom: 0in">            5000      4000     3000<br />
2000   1000       0    0   1000     2000 3000 4000<br />
  5000</P><br />
<P STYLE="margin-bottom: 0in"><br />
Net Acquisition Rate (net kcal/hr)</P><br />
<P STYLE="margin-bottom: 0in">            B</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                      Female</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                      Age rank</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                               Male</P></p>
<p><P STYLE="margin-bottom: 0in">              Adults</P><br />
<P STYLE="margin-bottom: 0in"><br />
                 20</P><br />
<P STYLE="margin-bottom: 0in"><br />
                 15</P><br />
<P STYLE="margin-bottom: 0in">              Adolescents</P><br />
<P STYLE="margin-bottom: 0in"><br />
                 10</P><br />
<P STYLE="margin-bottom: 0in">              Children</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                 5</P><br />
<P STYLE="margin-bottom: 0in">               R-square = 0.48<br />
                                          R-square = 0.33</P><br />
<P STYLE="margin-bottom: 0in">            5000      4000     3000<br />
2000   1000      0     0   1000     2000 3000 4000        5000</P><br />
<P STYLE="margin-bottom: 0in"><br />
 Net Acquisition Rate (net kcal/hr)</P><br />
<P STYLE="margin-bottom: 0in">          Figure 7.6. A: Individual<br />
foraging returns from 1997–1999, plotted by age</P><br />
<P STYLE="margin-bottom: 0in">                rank and divided by sex<br />
(N=128). Each row of points represents observa-</P></p>
<p><P STYLE="margin-bottom: 0in">                tions of the individual<br />
of the corresponding age rank on the y-axis. Some</P><br />
<P STYLE="margin-bottom: 0in">                rows have one point,<br />
indicating that the individual was only observed</P><br />
<P STYLE="margin-bottom: 0in">                once. Others have<br />
multiple points representing to multiple observations</P><br />
<P STYLE="margin-bottom: 0in">                of the same individual.<br />
B: Individual foraging returns from 2003, plotted</P><br />
<P STYLE="margin-bottom: 0in">                by age rank and divided<br />
by sex (N=124).</P><br />
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Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                            Net Acquisition Rate</P><br />
<P STYLE="margin-bottom: 0in"><br />
controlling for seasonal / interannual variation</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>(unstandardized residuals)</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                     161</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                           Growing up Mikea</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                            adolescent to adult</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                      1800  child to adolescent</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                      1300</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                       800</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                       300</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                      -200</P></p>
<p><P STYLE="margin-bottom: 0in">                                       </p>
<p>                      -700</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                            -1200</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                            -1700</P><br />
<P STYLE="margin-bottom: 0in">                     -2220</P><br />
<P STYLE="margin-bottom: 0in">                                       </p>
<p>                                                2003</P><br />
<P STYLE="margin-bottom: 0in"><br />
1997-</P></p>
<p><P STYLE="margin-bottom: 0in">                                   1999</P><br />
<P STYLE="margin-bottom: 0in">             Figure 7.7. Longitudinal<br />
trends in NAR for the eight individuals present in</P><br />
<P STYLE="margin-bottom: 0in">                 both 1997–1999 and<br />
2003. The circles and squares indicate the forager’s</P><br />
<P STYLE="margin-bottom: 0in">                 mean NAR in both<br />
datasets. The y-axis variable controls for seasonal and</P><br />
<P STYLE="margin-bottom: 0in">                 interannual variation<br />
in NAR.</P><br />
<P STYLE="margin-bottom: 0in">                   seasonal and<br />
interannual variation, NAR was ﬁrst regressed by sea-</P></p>
<p><P STYLE="margin-bottom: 0in">                   son and the<br />
unstandardized residuals used as the dependent vari-</P><br />
<P STYLE="margin-bottom: 0in">                   able. For seven of<br />
the eight individuals mean NAR increased as</P><br />
<P STYLE="margin-bottom: 0in">                   children became<br />
adolescents, and as adolescents became adults.</P><br />
<P STYLE="margin-bottom: 0in">                2. Within most age<br />
categories, males and females harvest tubers at sta-</P><br />
<P STYLE="margin-bottom: 0in">                   tistically similar<br />
rates. Mean NAR for female children versus male</P><br />
<P STYLE="margin-bottom: 0in">                   children does not<br />
differ signiﬁcantly (t = .509; df = 77; p = .612), nor</P></p>
<p><P STYLE="margin-bottom: 0in">                   does female versus<br />
male adolescents (t = .268; df = 58; p = .789).</P><br />
<P STYLE="margin-bottom: 0in">                   Adult males average<br />
signiﬁcantly higher NAR than adult females</P><br />
<P STYLE="margin-bottom: 0in">                   (t = 2.114; df =<br />
103; p = .037).</P><br />
<P STYLE="margin-bottom: 0in">                Next we explored<br />
foraging team composition, and the success rates of</P><br />
<P STYLE="margin-bottom: 0in">             individuals when foraging<br />
in teams with differing numbers of children.</P><br />
<P STYLE="margin-bottom: 0in">             These analyses are only<br />
performed using the 1997–99 data, since the teams</P></p>
<p><P STYLE="margin-bottom: 0in">             observed in 2003 may not<br />
have been “natural” due to the cash incentive.</P><br />
<P STYLE="margin-bottom: 0in">             We offer the following<br />
observations:</P><br />
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<P STYLE="margin-bottom: 0in">          162<br />
 Bram Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">              1. Children rarely forage<br />
alone. Children were involved in 41 of the 114</P></p>
<p><P STYLE="margin-bottom: 0in">                   observed team events<br />
in 1997–99. Children foraged alone in two</P><br />
<P STYLE="margin-bottom: 0in">                   cases (5 percent);<br />
they foraged with other children in four cases (10</P><br />
<P STYLE="margin-bottom: 0in">                   percent); with<br />
adolescents in 12 cases (29 percent); and with adoles-</P><br />
<P STYLE="margin-bottom: 0in">                   cents and adults in<br />
23 cases (56 percent). Adult males rarely foraged</P><br />
<P STYLE="margin-bottom: 0in">                   with children.</P><br />
<P STYLE="margin-bottom: 0in">              2. Children experience<br />
the same success rates when they forage in the</P></p>
<p><P STYLE="margin-bottom: 0in">                   company of other<br />
children as when they forage with adolescents and</P><br />
<P STYLE="margin-bottom: 0in">                   adults (t = 1.537,<br />
df = 6, p = .175). Adolescents and adults forage at</P><br />
<P STYLE="margin-bottom: 0in">                   the same rates when<br />
accompanied by children as when not accom-</P><br />
<P STYLE="margin-bottom: 0in">                   panied by children<br />
(t = .369, df = 47, p = .714).</P><br />
<P STYLE="margin-bottom: 0in">          D. Economic Dependency and<br />
Self-Sufﬁciency</P><br />
<P STYLE="margin-bottom: 0in">              Finally, we combine data<br />
from the analyses above to estimate the degree</P></p>
<p><P STYLE="margin-bottom: 0in">          to which each age/sex group<br />
meets its own food needs through tuber for-</P><br />
<P STYLE="margin-bottom: 0in">          aging. The ﬁrst column in<br />
Table 7.2 lists the mean tuber foraging net ac-</P><br />
<P STYLE="margin-bottom: 0in">          quisition rate for each<br />
age/sex group. These values are multiplied by the</P><br />
<P STYLE="margin-bottom: 0in">          average time spent tuber<br />
foraging from the time allocation data (converted</P><br />
<P STYLE="margin-bottom: 0in">          to minutes) to arrive at an<br />
estimate of daily caloric production.</P><br />
<P STYLE="margin-bottom: 0in">              We do not know age- and<br />
sex-speciﬁc daily energy requirements for</P></p>
<p><P STYLE="margin-bottom: 0in">          Mikea. Assuming a 1500–2000<br />
kilocalories/day requirement for children</P><br />
<P STYLE="margin-bottom: 0in">          and adolescents and a<br />
2000–2500 kilocalories/day requirement for adults,</P><br />
<P STYLE="margin-bottom: 0in">          then children do not meet<br />
their own caloric needs, while adolescents and</P><br />
<P STYLE="margin-bottom: 0in">          adult females probably do.<br />
Mikea may achieve positive net production</P><br />
<P STYLE="margin-bottom: 0in">          during adolescence,<br />
especially when the caloric contributions of their</P><br />
<P STYLE="margin-bottom: 0in">          other productive activities<br />
are considered. Children only acquire a fraction</P></p>
<p><P STYLE="margin-bottom: 0in">          of the energy they need to<br />
survive, but in doing so, they reduce adults’</P><br />
<P STYLE="margin-bottom: 0in">           Table 7.2    Average Daily<br />
Caloric Production from Tuber Foraging</P><br />
<P STYLE="margin-bottom: 0in"><br />
                           Average time              Average</P><br />
<P STYLE="margin-bottom: 0in"><br />
  Average NAR             spent foraging         daily production</P><br />
<P STYLE="margin-bottom: 0in"><br />
   (net kcal/hr)          (minutes/day)a               (kcal)</P><br />
<P STYLE="margin-bottom: 0in">           Female children<br />
        537                     35                       313</P></p>
<p><P STYLE="margin-bottom: 0in">           Male children<br />
        505                     41                       345</P><br />
<P STYLE="margin-bottom: 0in">           Female adolescents<br />
       1196                     89                     1774</P><br />
<P STYLE="margin-bottom: 0in">           Male adolescents<br />
       1372                     59                     1349</P><br />
<P STYLE="margin-bottom: 0in">           Female adults<br />
       1851                     68                     2097</P><br />
<P STYLE="margin-bottom: 0in">           Male adults<br />
       2419                     22                       887</P><br />
<P STYLE="margin-bottom: 0in">           a Duration of activities was<br />
estimated as follows. The time allocation values for tuber forag-</P></p>
<p><P STYLE="margin-bottom: 0in">           ing reported in Figure 7.3<br />
are percent daylight time. Assuming 12 hours (720 minutes) of day-</P><br />
<P STYLE="margin-bottom: 0in">           light time, 4.9 %<br />
observations = 35/720 minutes.</P><br />
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<P STYLE="margin-bottom: 0in"><br />
                                              163</P><br />
<P STYLE="margin-bottom: 0in"><br />
      Growing up Mikea</P></p>
<p><P STYLE="margin-bottom: 0in">             provisioning<br />
responsibilities. Children would be capable of positive net</P><br />
<P STYLE="margin-bottom: 0in">             production if they<br />
increased their time allocation to three to four hours</P><br />
<P STYLE="margin-bottom: 0in">             daily.</P><br />
<P STYLE="margin-bottom: 0in"><br />
    IV. DISCUSSION</P><br />
<P STYLE="margin-bottom: 0in">             In the remainder of this<br />
chapter we consider how Mikea children achieve</P><br />
<P STYLE="margin-bottom: 0in">             their high return rates,<br />
and also why they forage at lower rates than ado-</P></p>
<p><P STYLE="margin-bottom: 0in">             lescents and adults. First<br />
we argue that the Mikea Forest is a safe environ-</P><br />
<P STYLE="margin-bottom: 0in">             ment for Mikea children.<br />
Then we discuss why ovy foraging is a feasible</P><br />
<P STYLE="margin-bottom: 0in">             task for young foragers,<br />
in reference to the plant’s ecology and age-speciﬁc</P><br />
<P STYLE="margin-bottom: 0in">             foraging strategies.<br />
Finally, we question the degree to which children</P><br />
<P STYLE="margin-bottom: 0in">             strive to forage<br />
“efﬁciently.”</P><br />
<P STYLE="margin-bottom: 0in">             A. The Mikea Forest as a<br />
Foraging Environment for Children</P></p>
<p><P STYLE="margin-bottom: 0in">                 In a series of papers,<br />
Blurton Jones et al. (1994a, 1994b) and Hawkes et</P><br />
<P STYLE="margin-bottom: 0in">             al. (1995a) explore why<br />
San children of the Kalahari spend little time for-</P><br />
<P STYLE="margin-bottom: 0in">             aging while Hadza children<br />
of Tanzania forage avidly. Although the Kala-</P><br />
<P STYLE="margin-bottom: 0in">             hari Desert of Botswana<br />
and the dry savanna around Lake Eyasi in</P><br />
<P STYLE="margin-bottom: 0in">             northern Tanzania are<br />
similar environments in many ways (and not unlike</P><br />
<P STYLE="margin-bottom: 0in">             the Mikea Forest), these<br />
studies conclude that important ecological differ-</P></p>
<p><P STYLE="margin-bottom: 0in">             ences affect how young<br />
people best contribute to the household economy.</P><br />
<P STYLE="margin-bottom: 0in">             For Ju/’hoansi San<br />
living along the Botswana/Namibia border, dry season</P><br />
<P STYLE="margin-bottom: 0in">             residential sites are<br />
located along dry watercourses, while the most pro-</P><br />
<P STYLE="margin-bottom: 0in">             ductive foraging<br />
microenvironments are mongongo nut groves on sand</P><br />
<P STYLE="margin-bottom: 0in">             dunes located 13 to 18<br />
kilometers away. While children are efﬁcient nut</P><br />
<P STYLE="margin-bottom: 0in">             gatherers within the<br />
patch, the high travel costs are prohibitive. Children</P></p>
<p><P STYLE="margin-bottom: 0in">             cannot carry heavy loads<br />
of nuts. There is little shade or water along the</P><br />
<P STYLE="margin-bottom: 0in">             way, so children are<br />
susceptible to dehydration and heat stress. Children</P><br />
<P STYLE="margin-bottom: 0in">             who ﬁnd it difﬁcult to<br />
keep pace with adults could become lost, and could</P><br />
<P STYLE="margin-bottom: 0in">             die of exposure or be<br />
preyed upon by wild animals. The extra load of nuts</P><br />
<P STYLE="margin-bottom: 0in">             children could contribute<br />
is too small to offset these hazards. Once back in</P><br />
<P STYLE="margin-bottom: 0in">             camp, the nuts must be<br />
boiled and cracked before they yield food value.</P></p>
<p><P STYLE="margin-bottom: 0in">             Team rates are maximized<br />
if children stay at camp and process nuts while</P><br />
<P STYLE="margin-bottom: 0in">             their mothers forage. By<br />
contrast, Hadza foragers have lower travel costs</P><br />
<P STYLE="margin-bottom: 0in">             and fewer hazards. Hadza<br />
children dig //ekwa (Vigna frutescens) and maka-</P><br />
<P STYLE="margin-bottom: 0in">             lita (Eminia atenullifera)<br />
tubers in the immediate environs of camp without</P><br />
<P STYLE="margin-bottom: 0in">             adult supervision. They<br />
also accompany adults to Cordia and Grewia berry</P><br />
<P STYLE="margin-bottom: 0in">             groves ﬁve to seven<br />
kilometers away. Loads of berries are considerably</P></p>
<p><P STYLE="margin-bottom: 0in">             lighter than loads of<br />
mongongo nuts. The Hadza savanna woodland pro-</P><br />
<P STYLE="margin-bottom: 0in">             vides more shade and<br />
sources of water. Berry foragers consume berries as</P><br />
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<P STYLE="margin-bottom: 0in">          164<br />
Bram Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">          they pick, providing them<br />
with energy and water for the walk home.</P></p>
<p><P STYLE="margin-bottom: 0in">          Hadza women could achieve<br />
higher return rates if they left their children</P><br />
<P STYLE="margin-bottom: 0in">          at home and foraged for<br />
tubers, but the costs of foraging with children are</P><br />
<P STYLE="margin-bottom: 0in">          offset by the children’s<br />
own foraging successes. Team rates are maximized</P><br />
<P STYLE="margin-bottom: 0in">          by foraging together.</P><br />
<P STYLE="margin-bottom: 0in">             In comparison to the<br />
Kalahari or Lake Eyasi, the Mikea Forest is both a</P><br />
<P STYLE="margin-bottom: 0in">          safe and productive<br />
environment for children foragers. Children can for-</P></p>
<p><P STYLE="margin-bottom: 0in">          age alongside adolescents and<br />
adults without depressing their foraging</P><br />
<P STYLE="margin-bottom: 0in">          rates, at least during the<br />
early dry season. Ovy grow within several kilo-</P><br />
<P STYLE="margin-bottom: 0in">          meters of camp. Heat stress<br />
and dehydration are less of a threat than in the</P><br />
<P STYLE="margin-bottom: 0in">          Kalahari, for temperatures<br />
are generally lower, the forest provides shade,</P><br />
<P STYLE="margin-bottom: 0in">          and Mikea children know<br />
several sources of water including rainwater in</P><br />
<P STYLE="margin-bottom: 0in">          tree bowls, wild watermelons,<br />
and water-engorged tubers such as babo</P></p>
<p><P STYLE="margin-bottom: 0in">          (Dioscorea bemandry) and ba<br />
(scientiﬁc name unknown). Parties of children</P><br />
<P STYLE="margin-bottom: 0in">          can forage in the forest and<br />
anthropogenic clearings with little fear of</P><br />
<P STYLE="margin-bottom: 0in">          physical danger, for there<br />
are very few predators, poisonous snakes, sting-</P><br />
<P STYLE="margin-bottom: 0in">          ing insects, or irritating<br />
plants. The only dangerous wildlife are scorpions</P><br />
<P STYLE="margin-bottom: 0in">          and fossa (Cryptoprocta<br />
ferox), a rare predatory mongoose. Zoologists claim</P><br />
<P STYLE="margin-bottom: 0in">          that there are no poisonous<br />
snakes in Madagascar (Preston-Mafham</P></p>
<p><P STYLE="margin-bottom: 0in">          1991:104) although Mikea<br />
believe a few species to be deadly.</P><br />
<P STYLE="margin-bottom: 0in">             Nevertheless, children<br />
sometimes expressed fear about wandering too</P><br />
<P STYLE="margin-bottom: 0in">          far from their parents and<br />
caretakers. They feared encounters with olo raty,</P><br />
<P STYLE="margin-bottom: 0in">          “bad people,” including<br />
cattle thieves, evil sorcerers, brain stealers, and</P><br />
<P STYLE="margin-bottom: 0in">          vazaha, a term referring<br />
collectively to foreigners, white people, policemen,</P><br />
<P STYLE="margin-bottom: 0in">          military, gendarmes, and<br />
other representatives of authority. They also</P></p>
<p><P STYLE="margin-bottom: 0in">          feared encounters with<br />
monsters, such as the evil one-horned ungulate</P><br />
<P STYLE="margin-bottom: 0in">          tsongaombe, the undead wraith<br />
tsiboko, and the sinister biby maseake (“cruel</P><br />
<P STYLE="margin-bottom: 0in">          animal”).</P><br />
<P STYLE="margin-bottom: 0in">             Ovy is a more proﬁtable<br />
tuber than Hadza’s //ekwa and makalita tubers.</P><br />
<P STYLE="margin-bottom: 0in">          Ovy grows deeper than<br />
makalita but perhaps at similar depths as //ekwa,</P><br />
<P STYLE="margin-bottom: 0in">          both requiring on average a<br />
hole 75 to 125 cm deep. But ovy is easier to dig</P></p>
<p><P STYLE="margin-bottom: 0in">          because it grows in sandy<br />
soil devoid of rock. Hadza foragers digging</P><br />
<P STYLE="margin-bottom: 0in">          //ekwa face “a complex<br />
underground jigsaw puzzle and a large excavation,</P><br />
<P STYLE="margin-bottom: 0in">          circumnavigating or removing<br />
large rocks and boulders” (Blurton Jones</P><br />
<P STYLE="margin-bottom: 0in">          and Marlowe 2002:209). Mikea<br />
children can successfully dig ovy with just</P><br />
<P STYLE="margin-bottom: 0in">          their bare hands, although a<br />
metal spade and wooden scoop are preferred</P><br />
<P STYLE="margin-bottom: 0in">          tools. Ovy also has better<br />
food value. Ovy contains 119 kilocalories/100</P></p>
<p><P STYLE="margin-bottom: 0in">          grams (Kelly and Poyer 1997)<br />
whereas makalita has 73 kilocalories/100</P><br />
<P STYLE="margin-bottom: 0in">          grams and //ekwa has 85<br />
kilocalories/100 grams (Hawkes et al. 1995a:</P><br />
<P STYLE="margin-bottom: 0in">          691). The entire ovy tuber is<br />
edible, whereas the ﬂesh of //ekwa and makalita</P><br />
<P STYLE="margin-bottom: 0in">          are chewed and a quid<br />
expectorated. While some tubers require drying,</P><br />
<P STYLE="margin-bottom: 0in">          grinding, and leaching to<br />
remove toxins, ovy requires only roasting or</P><br />
<P STYLE="margin-bottom: 0in">          boiling.</P></p>
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<P STYLE="margin-bottom: 0in"><br />
                                               165</P><br />
<P STYLE="margin-bottom: 0in"><br />
     Growing up Mikea</P><br />
<P STYLE="margin-bottom: 0in">                Mikea children are<br />
signiﬁcantly better tuber foragers than Hadza chil-</P><br />
<P STYLE="margin-bottom: 0in">             dren. The child and<br />
adolescent return rates for the Hadza are actually</P></p>
<p><P STYLE="margin-bottom: 0in">             quite low. Rates reported<br />
in Hawkes et al. (1995a) are expressed in grams/</P><br />
<P STYLE="margin-bottom: 0in">             hour. When converted into<br />
net kilocalories/hour, many of these rates be-</P><br />
<P STYLE="margin-bottom: 0in">             come negative or near<br />
zero.7 Hadza youths averaged 85 net kilocalories/</P><br />
<P STYLE="margin-bottom: 0in">             hour, while Mikea children<br />
averaged 656 net kilocalories/hour. A t-test</P><br />
<P STYLE="margin-bottom: 0in">             ﬁnds signiﬁcant<br />
differences in the means of these two datasets (t = –4.040,</P><br />
<P STYLE="margin-bottom: 0in">             df = 44, p = .000).</P></p>
<p><P STYLE="margin-bottom: 0in">             B. Children’s Foraging<br />
Strategies</P><br />
<P STYLE="margin-bottom: 0in">                We suggest that young<br />
people have qualitatively different foraging</P><br />
<P STYLE="margin-bottom: 0in">             strategies than older<br />
people. The costs and beneﬁts of these strategies are</P><br />
<P STYLE="margin-bottom: 0in">             explained in reference to<br />
the lifecycle and patch dynamics of the ovy tuber,</P><br />
<P STYLE="margin-bottom: 0in">             and the logic of Charnov’s<br />
(1976) marginal value theorem.</P><br />
<P STYLE="margin-bottom: 0in">                Mikea informants<br />
explained that the ovy plant begins life when a seed</P></p>
<p><P STYLE="margin-bottom: 0in">             falls from a nearby vine<br />
and germinates during the wet season. A vine</P><br />
<P STYLE="margin-bottom: 0in">             grows up from the seed and<br />
climbs the surrounding vegetation, while a</P><br />
<P STYLE="margin-bottom: 0in">             small, carrot-sized tuber<br />
grows below the ground. When the dry season</P><br />
<P STYLE="margin-bottom: 0in">             begins, the leaves dry up<br />
and fall, and the vine dies and breaks into small</P><br />
<P STYLE="margin-bottom: 0in">             fragments. When the next<br />
wet season rolls around, the small tuber dies</P><br />
<P STYLE="margin-bottom: 0in">             and turns to mush<br />
(fatin’ovy). The upper tip of the ovy, called the “ovy</P></p>
<p><P STYLE="margin-bottom: 0in">             head” (lohan’ovy),<br />
regenerates a new, larger tuber in its place, and a new</P><br />
<P STYLE="margin-bottom: 0in">             vine grows above the<br />
surface. This continues for many years. Each year,</P><br />
<P STYLE="margin-bottom: 0in">             the ovy tuber is larger in<br />
size and deeper beneath the ground. After two</P><br />
<P STYLE="margin-bottom: 0in">             years the ovy is the size<br />
of a zucchini and the head is 20 centimeters or</P><br />
<P STYLE="margin-bottom: 0in">             more beneath the ground;<br />
after four years the ovy is the size of a person’s</P><br />
<P STYLE="margin-bottom: 0in">             arm and the head is 30<br />
centimeters or more deep. So long as the ovy head</P></p>
<p><P STYLE="margin-bottom: 0in">             remains in the ground, a<br />
new tuber will regenerate each year, even if the</P><br />
<P STYLE="margin-bottom: 0in">             previous year’s tuber<br />
has been harvested; thus ovy foraging is potentially</P><br />
<P STYLE="margin-bottom: 0in">             sustainable.</P><br />
<P STYLE="margin-bottom: 0in">                Ovy grows wild<br />
throughout much of the forest and anthropogenic</P><br />
<P STYLE="margin-bottom: 0in">             clearings. However,<br />
foragers rarely search for virgin patches. Rather, they</P><br />
<P STYLE="margin-bottom: 0in">             identify a patch by ﬁnding<br />
a spot, often around the base of some bushes,</P></p>
<p><P STYLE="margin-bottom: 0in">             where many holes have been<br />
dug in the ground. Ovy patches have com-</P><br />
<P STYLE="margin-bottom: 0in">             plex, multiyear histories<br />
of partial exploitation and reexploitation that can</P><br />
<P STYLE="margin-bottom: 0in">             be read in the ground by<br />
counting the number and size of holes dug by</P><br />
<P STYLE="margin-bottom: 0in">             previous foragers. A<br />
single ovy patch contains plants of many different</P><br />
<P STYLE="margin-bottom: 0in">             ages. Once the forager<br />
arrives at a patch, he or she begins a process called</P><br />
<P STYLE="margin-bottom: 0in">             mifaokovy, which involves<br />
scanning through the leaf litter and sand for the</P></p>
<p><P STYLE="margin-bottom: 0in">             white, underground portion<br />
of the vine called the ﬁrambony. The forager</P><br />
<P STYLE="margin-bottom: 0in">             can tell by the thickness<br />
of the ﬁrambony how old the plant is, and thus the</P><br />
<P STYLE="margin-bottom: 0in">             depth and size of the<br />
tubers. It appears that adults target mature ovy</P><br />
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<P STYLE="margin-bottom: 0in">          166                      Bram<br />
Tucker and Alyson G. Young</P></p>
<p><P STYLE="margin-bottom: 0in">          plants, which provide large<br />
tubers but with considerable digging effort.</P><br />
<P STYLE="margin-bottom: 0in">          Children target young ovy<br />
plants, which provide small tubers with less</P><br />
<P STYLE="margin-bottom: 0in">          digging (adolescents may have<br />
an intermediate strategy).</P><br />
<P STYLE="margin-bottom: 0in">             Charnov’s (1976)<br />
marginal value theorem posits that the length of time</P><br />
<P STYLE="margin-bottom: 0in">          a forager spends in a patch<br />
is determined by the rate of gain within the</P><br />
<P STYLE="margin-bottom: 0in">          patch and the travel time to<br />
the next patch. Foragers remain in a patch</P></p>
<p><P STYLE="margin-bottom: 0in">          until the gain rate, net of<br />
the cost of travel to the next patch, is maximized,</P><br />
<P STYLE="margin-bottom: 0in">          which normally occurs long<br />
before the patch is depleted. Foragers who ei-</P><br />
<P STYLE="margin-bottom: 0in">          ther travel or harvest at a<br />
more efﬁcient pace ought to spend less time in</P><br />
<P STYLE="margin-bottom: 0in">          one patch before moving to<br />
the next. Because adults are capable of exca-</P><br />
<P STYLE="margin-bottom: 0in">          vating larger tubers, they<br />
maximize their in-patch return rates more rap-</P><br />
<P STYLE="margin-bottom: 0in">          idly than do children, and so<br />
exploit patches faster but less thoroughly.</P></p>
<p><P STYLE="margin-bottom: 0in">          Children forage in patches<br />
that adults have already exhausted of large</P><br />
<P STYLE="margin-bottom: 0in">          tubers.</P><br />
<P STYLE="margin-bottom: 0in">             Two analyses support this<br />
story. First, there are interesting seasonal dif-</P><br />
<P STYLE="margin-bottom: 0in">          ferences in foraging return<br />
rates and team compositions. Adolescents and</P><br />
<P STYLE="margin-bottom: 0in">          adult females often foraged<br />
alongside children during the early dry season</P><br />
<P STYLE="margin-bottom: 0in">          fararano, and rarely during<br />
the other seasons (Figure 7.8). In fararano, the</P></p>
<p><P STYLE="margin-bottom: 0in">          recent rains have led to the<br />
regeneration of the tuber patches. Tuber forag-</P><br />
<P STYLE="margin-bottom: 0in">          ing is signiﬁcantly more<br />
proﬁtable during this time of year (mean fararano</P><br />
<P STYLE="margin-bottom: 0in">          = 2116 kilocalories/hour;<br />
mean other seasons = 1299; t = –4.167, df = 126,</P><br />
<P STYLE="margin-bottom: 0in">          p = .000). On 22 March 1998<br />
over 120 kilograms of ovy were brought into</P><br />
<P STYLE="margin-bottom: 0in">          camp! Children forage with<br />
older people during fararano because both are</P><br />
<P STYLE="margin-bottom: 0in">          interested in the same<br />
patches, even though within the patches they</P></p>
<p><P STYLE="margin-bottom: 0in">          choose different plants to<br />
harvest. By the middle and late dry seasons,</P><br />
<P STYLE="margin-bottom: 0in">          adults have already exhausted<br />
the patches near camp of the large tubers</P><br />
<P STYLE="margin-bottom: 0in">          they prefer, and are<br />
traveling increasing distances each day. Children con-</P><br />
<P STYLE="margin-bottom: 0in">          tinue to forage near camp for<br />
the smaller (younger, shallower) tubers that</P><br />
<P STYLE="margin-bottom: 0in">          the elders do not consider<br />
worth their while.</P><br />
<P STYLE="margin-bottom: 0in">             In 2003 we counted the<br />
number of tubers harvested in addition to the</P></p>
<p><P STYLE="margin-bottom: 0in">          weight of the tuber bundle.<br />
This allowed us to calculate the average</P><br />
<P STYLE="margin-bottom: 0in">          weight of each tuber. The<br />
average tuber dug by children weighed 203</P><br />
<P STYLE="margin-bottom: 0in">          grams (carrot sized); by<br />
adolescents, 337 grams; and by an adults, 499</P><br />
<P STYLE="margin-bottom: 0in">          grams. An analysis of<br />
variance reveals that these means are signiﬁcantly</P><br />
<P STYLE="margin-bottom: 0in">          different (F = 37.433; df =<br />
2; p = .000). There are no signiﬁcant differences</P><br />
<P STYLE="margin-bottom: 0in">          by sex (t = .172; df = 112; p<br />
= .863).</P></p>
<p><P STYLE="margin-bottom: 0in">          C. Children’s Foraging<br />
Goals</P><br />
<P STYLE="margin-bottom: 0in">             The main characteristic of<br />
children’s time allocation is prolonged</P><br />
<P STYLE="margin-bottom: 0in">          leisure time. Most of this<br />
time is spent in play. Play activities include</P><br />
<P STYLE="margin-bottom: 0in">          games of tag (especially at<br />
night during full moon), tug of war, gymnas-</P><br />
<P STYLE="margin-bottom: 0in">          tics, dominoes, and<br />
kiombiomby. Kiombiomby is pretend oxcart; the team of</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 167</P></p>
<p><P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                               167</P><br />
<P STYLE="margin-bottom: 0in"><br />
       Growing up Mikea</P><br />
<P STYLE="margin-bottom: 0in"><br />
Females                         Males</P><br />
<P STYLE="margin-bottom: 0in">                      Adults</P><br />
<P STYLE="margin-bottom: 0in">                      Adolescents</P></p>
<p><P STYLE="margin-bottom: 0in">                      Children</P><br />
<P STYLE="margin-bottom: 0in">                    12    10     8   6<br />
   4     2     0     2    4    6     8 10 12</P><br />
<P STYLE="margin-bottom: 0in"><br />
           Frequency</P><br />
<P STYLE="margin-bottom: 0in"><br />
    fararano</P><br />
<P STYLE="margin-bottom: 0in"><br />
    (Early dry season: Mar-Apr)</P><br />
<P STYLE="margin-bottom: 0in"><br />
    asotre, faosa</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
    (Mid &amp; late dry season: May-Sep)</P><br />
<P STYLE="margin-bottom: 0in">             Figure 7.8. The frequency<br />
that individuals of different ages and sex foraged</P><br />
<P STYLE="margin-bottom: 0in">                  for tubers in teams<br />
that included juveniles, by season.</P><br />
<P STYLE="margin-bottom: 0in">             “oxen” are either two<br />
children (holding forked sticks to simulate the</P><br />
<P STYLE="margin-bottom: 0in">             oxen’s horns), two<br />
blocks of wood, two wild watermelons, or two rats, tied</P></p>
<p><P STYLE="margin-bottom: 0in">             together. These pairs are<br />
tethered to another stick, melon, or block of wood</P><br />
<P STYLE="margin-bottom: 0in">             to simulate the cart.<br />
Another popular play activity for children is digging</P><br />
<P STYLE="margin-bottom: 0in">             holes in the sand, perhaps<br />
practice for ovy excavation. For girls, grooming</P><br />
<P STYLE="margin-bottom: 0in">             and coifﬁng are popular<br />
preoccupations. Everyone enjoys listening and</P><br />
<P STYLE="margin-bottom: 0in">             dancing to music played on<br />
to the cassette player or by wandering bands</P><br />
<P STYLE="margin-bottom: 0in">             of minstrels.</P></p>
<p><P STYLE="margin-bottom: 0in">                Despite enjoying twice<br />
as much leisure time as adolescents and adults,</P><br />
<P STYLE="margin-bottom: 0in">             children spent almost as<br />
much time as older people foraging for tubers.</P><br />
<P STYLE="margin-bottom: 0in">             Table 7.2 suggests that<br />
children could achieve positive net production if</P><br />
<P STYLE="margin-bottom: 0in">             they made modest increases<br />
in their time allocation. So, why don’t they?</P><br />
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<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P></p>
<p><P STYLE="margin-bottom: 0in">          168                      Bram<br />
Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">              Few studies have tried to<br />
predict time allocation to foraging. Hawkes et</P><br />
<P STYLE="margin-bottom: 0in">          al. (1985) argue that<br />
foragers should increase their time allocation to for-</P><br />
<P STYLE="margin-bottom: 0in">          aging on days when foraging<br />
returns are high. Smith (1987) criticized this</P><br />
<P STYLE="margin-bottom: 0in">          study for not fully<br />
appreciating the role of opportunity costs. Hawkes et</P><br />
<P STYLE="margin-bottom: 0in">          al. state that because<br />
foraging has multiple ﬁtness-enhancing beneﬁts, in-</P></p>
<p><P STYLE="margin-bottom: 0in">          cluding provisioning the<br />
household, generous transfer, and competitive</P><br />
<P STYLE="margin-bottom: 0in">          display, more food<br />
acquisition per unit time (rate maximization) is always</P><br />
<P STYLE="margin-bottom: 0in">          better. Smith counters that<br />
foragers may also be time-minimizers, when ei-</P><br />
<P STYLE="margin-bottom: 0in">          ther the marginal utility of<br />
foraged products diminishes rapidly, or when</P><br />
<P STYLE="margin-bottom: 0in">          activities alternative to<br />
foraging have high ﬁtness-enhancing beneﬁts. A</P><br />
<P STYLE="margin-bottom: 0in">          mother with a young child may<br />
allocate less time to foraging on a high-</P></p>
<p><P STYLE="margin-bottom: 0in">          returns day, so that she can<br />
return home earlier to nurse. A young man</P><br />
<P STYLE="margin-bottom: 0in">          may return earlier from<br />
hunting when hunting is particularly proﬁtable,</P><br />
<P STYLE="margin-bottom: 0in">          so as to have more social<br />
interaction with potential mates.</P><br />
<P STYLE="margin-bottom: 0in">              We argue that Mikea<br />
children are not trying to be “efﬁcient” at all. There</P><br />
<P STYLE="margin-bottom: 0in">          is little reason for them to<br />
be either rate-maximizers or time-minimizers.</P><br />
<P STYLE="margin-bottom: 0in">          Because parents provision<br />
children from their surplus, children are not</P></p>
<p><P STYLE="margin-bottom: 0in">          energy-limited. Because they<br />
have few alternative uses for their time, and</P><br />
<P STYLE="margin-bottom: 0in">          their alternatives are not<br />
likely to bestow ﬁtness advantages, they are also</P><br />
<P STYLE="margin-bottom: 0in">          not time-limited. The life of<br />
a child in a small foraging camp is often quite</P><br />
<P STYLE="margin-bottom: 0in">          dull. Children forage for the<br />
physical and mental challenge, and because</P><br />
<P STYLE="margin-bottom: 0in">          it is an enjoyable social<br />
activity. During one focal follow, the senior author</P><br />
<P STYLE="margin-bottom: 0in">          witnessed a “food ﬁght”<br />
between the boys and the girls. Several kilograms</P></p>
<p><P STYLE="margin-bottom: 0in">          of edible tubers were<br />
destroyed in the ensuing volley. For children, forag-</P><br />
<P STYLE="margin-bottom: 0in">          ing is an extension of play<br />
that occurs outside camp.</P><br />
<P STYLE="margin-bottom: 0in"><br />
V. CONCLUSION</P><br />
<P STYLE="margin-bottom: 0in">          We have examined children’s<br />
time allocation and foraging return rates in</P><br />
<P STYLE="margin-bottom: 0in">          the Mikea Forest of<br />
southwestern Madagascar in order to contribute to</P><br />
<P STYLE="margin-bottom: 0in">          current debates about the<br />
evolution, economy, and ecology of childhood</P></p>
<p><P STYLE="margin-bottom: 0in">          in foraging societies.</P><br />
<P STYLE="margin-bottom: 0in">              To Kaplan and colleagues<br />
(Kaplan 1997; Kaplan et al. 2000) long child-</P><br />
<P STYLE="margin-bottom: 0in">          hood is the evolutionary<br />
result of a dietary shift to difﬁcult-to-acquire but</P><br />
<P STYLE="margin-bottom: 0in">          high-quality resources such<br />
as wild tubers and hunted game, tasks that re-</P><br />
<P STYLE="margin-bottom: 0in">          quire high intelligence and a<br />
long training period to master. In their the-</P><br />
<P STYLE="margin-bottom: 0in">          ory, lesser learned skill<br />
accounts for why children target different</P></p>
<p><P STYLE="margin-bottom: 0in">          resources than adults, and<br />
why children forage at lower rates. Consistent</P><br />
<P STYLE="margin-bottom: 0in">          with their explanation, Mikea<br />
increase in foraging efﬁciency with increas-</P><br />
<P STYLE="margin-bottom: 0in">          ing age, achieving their<br />
highest rates during adulthood. However, several</P><br />
<P STYLE="margin-bottom: 0in">          aspects of age-speciﬁc<br />
foraging behavior among Mikea deviate from Ka-</P><br />
<P STYLE="margin-bottom: 0in">          plan et al.’s (2000)<br />
predictions.</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 169</P></p>
<p><P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P><br />
<P STYLE="margin-bottom: 0in"><br />
                                                 169</P><br />
<P STYLE="margin-bottom: 0in"><br />
      Growing up Mikea</P><br />
<P STYLE="margin-bottom: 0in">                 First, Mikea children<br />
do not specialize on collected resources such as</P><br />
<P STYLE="margin-bottom: 0in">             fruits and foliage, but<br />
rather, dedicate similar amounts of time to foraging</P><br />
<P STYLE="margin-bottom: 0in">             for wild tubers, a<br />
high-quality “extracted” resource, as do older people.</P></p>
<p><P STYLE="margin-bottom: 0in">                 Second, Mikea children<br />
do not appear to be actively trained by older</P><br />
<P STYLE="margin-bottom: 0in">             people. Mikea children<br />
experience the same return rates when foraging</P><br />
<P STYLE="margin-bottom: 0in">             with potential trainers<br />
(adolescents and adults) as when foraging with</P><br />
<P STYLE="margin-bottom: 0in">             other children. Women only<br />
forage with children during the early dry sea-</P><br />
<P STYLE="margin-bottom: 0in">             son, when both children<br />
and adults are interested in the same patches.</P><br />
<P STYLE="margin-bottom: 0in">                 Third, children may<br />
make rational, “educated” decisions for foragers of</P></p>
<p><P STYLE="margin-bottom: 0in">             their smaller size and<br />
lesser strength. Children preferentially dig young</P><br />
<P STYLE="margin-bottom: 0in">             ovy plants, whose tubers<br />
are small but shallow, while adults target deeper,</P><br />
<P STYLE="margin-bottom: 0in">             larger tubers. Children<br />
exploit patches more thoroughly than adults.</P><br />
<P STYLE="margin-bottom: 0in">                 Fourth, Mikea children<br />
are neither pressured to bring home a full load</P><br />
<P STYLE="margin-bottom: 0in">             of tubers, for they know<br />
adults will provision them, nor are they pressed</P><br />
<P STYLE="margin-bottom: 0in">             for time when foraging,<br />
for they have little else to do. So while they prob-</P></p>
<p><P STYLE="margin-bottom: 0in">             ably do learn while<br />
foraging, they learn at their own leisurely pace. Their</P><br />
<P STYLE="margin-bottom: 0in">             objectives when foraging<br />
may be primarily social and recreational.</P><br />
<P STYLE="margin-bottom: 0in">                 Fifth, despite the<br />
fact that Mikea children are probably not striving for</P><br />
<P STYLE="margin-bottom: 0in">             efﬁciency, they approach<br />
the age of positive net production during ado-</P><br />
<P STYLE="margin-bottom: 0in">             lescence, considerably<br />
earlier than Piro, Ache, Machiguenga, Ju/’hoansi</P><br />
<P STYLE="margin-bottom: 0in">             San, and Hadza.<br />
Achievement of positive net production is more-or-less</P></p>
<p><P STYLE="margin-bottom: 0in">             coincidental with the<br />
adoption of adult sexual division of labor and work-</P><br />
<P STYLE="margin-bottom: 0in">             load. Young people<br />
increase their foraging efﬁciency when opportunity</P><br />
<P STYLE="margin-bottom: 0in">             costs increase.</P><br />
<P STYLE="margin-bottom: 0in">                 If children’s<br />
observed foraging return rates are not an accurate repre-</P><br />
<P STYLE="margin-bottom: 0in">             sentation of their maximum<br />
foraging potential—of how efﬁciently they</P><br />
<P STYLE="margin-bottom: 0in">             could forage if efﬁciency<br />
were their goal—then age of positive net produc-</P></p>
<p><P STYLE="margin-bottom: 0in">             tion is a somewhat<br />
ambiguous concept, and so is juvenile dependency. The</P><br />
<P STYLE="margin-bottom: 0in">             question may not be when<br />
children can feed themselves, but rather, When</P><br />
<P STYLE="margin-bottom: 0in">             do children want to work<br />
hard enough to feed themselves? This makes it</P><br />
<P STYLE="margin-bottom: 0in">             difﬁcult to argue that<br />
juvenile dependency early in life permits one to be a</P><br />
<P STYLE="margin-bottom: 0in">             provisioner later in life.<br />
The contrary is also possible: provisioning by</P><br />
<P STYLE="margin-bottom: 0in">             older people may permit<br />
juvenile dependence.</P></p>
<p><P STYLE="margin-bottom: 0in">                 Children’s limited<br />
motivation to self-sufﬁciency may be part of an in-</P><br />
<P STYLE="margin-bottom: 0in">             herent parent-offspring<br />
conﬂict. To the degree that children can meet their</P><br />
<P STYLE="margin-bottom: 0in">             own food needs, they free<br />
up parental resources for investment in future</P><br />
<P STYLE="margin-bottom: 0in">             offspring. It may not be<br />
in children’s best individual interest to do this, for</P><br />
<P STYLE="margin-bottom: 0in">             new babies would increase<br />
children’s competition for resources. Previous</P><br />
<P STYLE="margin-bottom: 0in">             studies of the<br />
relationship between children’s production and household</P></p>
<p><P STYLE="margin-bottom: 0in">             reproduction implicitly<br />
assume that children’s goals are necessarily coop-</P><br />
<P STYLE="margin-bottom: 0in">             erative (Chayanov [1925]<br />
1986; Kaplan 1997; Lee and Kramer 2002).</P><br />
<P STYLE="margin-bottom: 0in">                 The possibility that<br />
Mikea children foragers are not trying to be efﬁcient</P><br />
<P STYLE="margin-bottom: 0in">             illustrates a problem with<br />
using age- and sex-speciﬁc economic data to test</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 170</P><br />
<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P></p>
<p><P STYLE="margin-bottom: 0in">          170<br />
Bram Tucker and Alyson G. Young</P><br />
<P STYLE="margin-bottom: 0in">          theories about the<br />
proﬁtability of children’s foraging. Contests in which</P><br />
<P STYLE="margin-bottom: 0in">          foragers compete for the best<br />
success rate may produce better data for</P><br />
<P STYLE="margin-bottom: 0in">          evaluating absolute<br />
age-speciﬁc ability (see Blurton Jones and Marlowe</P><br />
<P STYLE="margin-bottom: 0in">          2002; Bock 2002a; Walker et<br />
al. 2002).</P><br />
<P STYLE="margin-bottom: 0in">             Mikea children foragers<br />
are more productive than children in other</P></p>
<p><P STYLE="margin-bottom: 0in">          hunter-gatherer and<br />
forager-horticulturalist populations in large part be-</P><br />
<P STYLE="margin-bottom: 0in">          cause of the ecology of the<br />
Mikea Forest and the ovy plant. Ecological vari-</P><br />
<P STYLE="margin-bottom: 0in">          ation may be just as<br />
important as ethnographic generalization when</P><br />
<P STYLE="margin-bottom: 0in">          constructing and testing<br />
theories about the evolution of childhood. We</P><br />
<P STYLE="margin-bottom: 0in">          hope that the Mikea case will<br />
expand anthropological imagination as to</P><br />
<P STYLE="margin-bottom: 0in">          the range of possibilities in<br />
children’s foraging production.</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
ACKNOWLEDGEMENTS</P><br />
<P STYLE="margin-bottom: 0in">          We dedicate this chapter to<br />
Dadebo and Tekely, with hopes that they one day be-</P><br />
<P STYLE="margin-bottom: 0in">          come great tuber foragers. We<br />
wish to thank Doug Bird, Frank Marlowe, Nick Blur-</P><br />
<P STYLE="margin-bottom: 0in">          ton Jones, Pat Draper, and<br />
Barry Hewlett for stimulating discussions with the</P><br />
<P STYLE="margin-bottom: 0in">          senior author at CHAGS9 in<br />
Edinburgh. Useful feedback was provided by Paul</P><br />
<P STYLE="margin-bottom: 0in">          Sciulli, Nick Blurton Jones,<br />
Doug Crews, Jim Yount, Bob Kelly, Clark Larsen, Ivy</P></p>
<p><P STYLE="margin-bottom: 0in">          Pike, Tsiazonera, Jaovola<br />
Tombo, Veve Tantely, Scott Young, and the editors of this</P><br />
<P STYLE="margin-bottom: 0in">          volume. Tucker’s research<br />
among the Mikea was funded by a Fulbright IIE grant,</P><br />
<P STYLE="margin-bottom: 0in">          a National Science Foundation<br />
Dissertation Improvement Grant, a Sigma-Xi grant-</P><br />
<P STYLE="margin-bottom: 0in">          in-aid of research, and<br />
travel grants from the University of North Carolina at</P><br />
<P STYLE="margin-bottom: 0in">          Chapel Hill (1996) and the<br />
Ohio State University (2003).</P><br />
<P STYLE="margin-bottom: 0in"><br />
        NOTES</P></p>
<p><P STYLE="margin-bottom: 0in">             1. In the rest of<br />
Madagascar, the word ovy refers to any tuber, including the do-</P><br />
<P STYLE="margin-bottom: 0in">          mestic potato Solanum<br />
tuberosum. Most Malagasy people refer to wild Dioscorea</P><br />
<P STYLE="margin-bottom: 0in">          yams as ovi’ala, “forest<br />
potato.” We conform to Mikea word choice. Mikea reserve</P><br />
<P STYLE="margin-bottom: 0in">          the term ovy speciﬁcally<br />
for Dioscorea acuminata.</P><br />
<P STYLE="margin-bottom: 0in">             2. “Behisatse” is a<br />
pseudonym.</P><br />
<P STYLE="margin-bottom: 0in">             3. Temperatures were<br />
recorded at Behisatse as part of the scan sampling time al-</P></p>
<p><P STYLE="margin-bottom: 0in">          location project, using a<br />
manual thermometer hung in the shade of the ethnogra-</P><br />
<P STYLE="margin-bottom: 0in">          pher’s hut.</P><br />
<P STYLE="margin-bottom: 0in">             4. We also recorded<br />
absences of entire households during the sampling months.</P><br />
<P STYLE="margin-bottom: 0in">          The inclusion of these<br />
observations allows a tracking of nine households through-</P><br />
<P STYLE="margin-bottom: 0in">          out the entire study period.<br />
These observations will be useful for future studies of</P><br />
<P STYLE="margin-bottom: 0in">          household mobility, but are<br />
not useful here because they reveal no differences in</P></p>
<p><P STYLE="margin-bottom: 0in">          activity age or sex. The<br />
entire dataset includes 20,241 observations.</P><br />
<P STYLE="margin-bottom: 0in">             5. Actually, people<br />
enjoyed somewhat more leisure time than is measured here,</P><br />
<P STYLE="margin-bottom: 0in">          for only leisure within camp<br />
was visible to the data collectors. Undoubtedly in</P><br />
<P STYLE="margin-bottom: 0in">          some of the cases recorded as<br />
“food production” or “away,” at the observation time</P><br />
<P STYLE="margin-bottom: 0in">07 5/5/04 13:27 Page 171</P><br />
<P STYLE="margin-bottom: 0in">   Kitty’s TS • Aldine •<br />
Hewlett&amp;Lamb • 173043</P></p>
<p><P STYLE="margin-bottom: 0in"><br />
                                                     171</P><br />
<P STYLE="margin-bottom: 0in"><br />
         Growing up Mikea</P><br />
<P STYLE="margin-bottom: 0in">             the subject was actually<br />
taking a break from foraging or farming to enjoy a rest,</P><br />
<P STYLE="margin-bottom: 0in">             chat, cigarette, game of<br />
tag, romantic interlude, etc.</P><br />
<P STYLE="margin-bottom: 0in">                6. While this estimate<br />
is inexact, it is probably workable. If tuber foraging is</P><br />
<P STYLE="margin-bottom: 0in">             more or less costly than<br />
we estimate, say 3 kilocalories/minute or 5 kilocalo-</P></p>
<p><P STYLE="margin-bottom: 0in">             ries/minute, then<br />
expenditure per hour is 180 or 300 kilocalories/hour rather than</P><br />
<P STYLE="margin-bottom: 0in">             258. This would make minor<br />
changes to our net acquisition values, and no changes</P><br />
<P STYLE="margin-bottom: 0in">             in statistical results and<br />
interpretations.</P><br />
<P STYLE="margin-bottom: 0in">                7. We calculated Hadza<br />
net acquisition rates the same way as for Mikea, as-</P><br />
<P STYLE="margin-bottom: 0in">             suming that foraging costs<br />
4.3 kilocalories/hour. Makalita may be slightly less dif-</P><br />
<P STYLE="margin-bottom: 0in">             ﬁcult, and //ekwa<br />
slightly more difﬁcult, due to the comparative depths and</P></p>
<p><P STYLE="margin-bottom: 0in">             difﬁculties caused by<br />
rocks and roots.</P><br />
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		<title>Lectures 7-12</title>
		<link>http://humandiet.wordpress.com/2006/10/14/lectures-7-12/</link>
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		<pubDate>Sat, 14 Oct 2006 00:09:37 +0000</pubDate>
		<dc:creator>cambriaromance</dc:creator>
				<category><![CDATA[Lectures]]></category>
		<category><![CDATA[test 2]]></category>

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		<description><![CDATA[File: Lecture 7 Coastal Migration and Aquatic Resources The Evolution of the Human Diet Lecture 7 Coastal Migration and Aquatic Resources Anthro 4962/5962 Instructor Helen Alvarez &#160; The mosaic habitats shown in this photograph of Rajegwesi in Meru Betiri National Park on the south coast of Java illustrate the paleoecology hypothesized for H. erectus in [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=humandiet.wordpress.com&amp;blog=433312&amp;post=6&amp;subd=humandiet&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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<h2 class="form">File: Lecture 7 Coastal Migration and Aquatic Resources</h2>
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<p class="style18"> The Evolution of the Human Diet</p>
<p class="style19">Lecture 7</p>
<p class="style19">Coastal Migration and Aquatic Resources</p>
<p class="style23">Anthro 4962/5962 Instructor Helen Alvarez</p>
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<p class="style12" align="center">&nbsp;</p>
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<td align="center"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec7_Coastal%20folder/Lec7_Coastal/Rajegwesi.jpg" border="0" height="503" width="747" /></td>
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<td align="left" valign="top"><strong>The mosaic habitats shown in this  photograph of Rajegwesi in    Meru Betiri National Park on the south coast of Java illustrate the paleoecology hypothesized for <em>H. erectus </em>in Java by O. Frank Huffman and his colleagues. The photo is from    from <a href="doWindowOpen('http://www.eastjava.com','new_frame','width=600,height=420,menubar=1,toolbar=1,scrollbars=1,status=1,location=1,resizable=1',0)">www.eastjava.com</a> </strong></td>
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<p class="style20" align="left">Populations of H. erectus were the first human emigrants from Africa. Traveling a route that must have been much the same as that hypothesized for moderns, Lecture 6, they reached the islands of Indonesia (review the map in lecture 5) where fossil crania have been found at Trinil, Ngandong, Sangiran, and Perning near the city of Mojokerto. A group of investigators led by O. Frank Huffman and Yahdi Zaim have just undertaken a major multi-disciplinary project to properly describe the Mojokerto site where the partial skull of a juvenile was found. In the latest publication of this project the authors describe a paleolandscape similar to a modern landscape from Mojokerto pictured above.</p>
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<p class="style20" align="left"> “The good condition of the skull and the large size of the ancient Mojokerto Delta favor the conclusion that the hominin died in the deltaic environment in which it was deposited. The Mojokerto child therefore provides evidence for a seacoast <em>Homo erectus </em>population in Southeast Asia, and raises interest in the role that maritime adaptation might have played in the dispersal and paleoecology of early hominins (Huffman et al. 2006 449).”</p>
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<p class="style20" align="left">The preliminary analysis of the fauna and flora in the beds at the site indicate an environment very much similar to that pictured above where mangrove vegetation, grassland and montane forest provided a variety of resources including small and large bovids, Asian elephants, deer, and turtles.</p>
<p class="style20" align="left"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec7_Coastal%20folder/Lec7_Coastal/Batengs.jpg" align="right" border="0" height="325" width="450" /></p>
<p align="left"><strong>Bantengs (wild oxen) would have come to gaze on the grassy plains between the water and the montane forest inhabited by large cats, monkeys, and pigs. The oxen shared their grazing ground with muntjaks, antelope, rhinos and hippos, some of which foraged on smaller shrubs. Preliminary analysis of fossil teeth from the site indicate that the grasses on these grazing grounds were primarily C4 tropical grasses. The analysis of phytoliths in the sediments reveal two types of grasses, open-land taxa from the subfamilies Panicoidae and Arundinoidae and the temperate climate subfamily Pooideae which probably drifted in from montane habitats. Notice from the opening photograph in this lecture the habitat diversity within a short distance from shore line to ridge line. Early humans might have varied their foraging strategies with the seasons depending upon which resources were most abundant in each habitat. Notice also that the presence of large herbivores near the shore doesn&#8217;t rule out big game hunting in habitats characterized by aquatic resources that women and children could collect.</strong></p>
<p align="left"><strong><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec7_Coastal%20folder/Lec7_Coastal/NypaPalm.jpg" align="left" height="324" width="472" />As rivers flowed off the highlands they formed deltas characterized by mangrove swamps with several species of trees including <em>Nypa fruticans</em> palms and the sugar palm <em>Arenga,</em> with flowers that produce a sugary juice, and shrubs of <em>Passiflora </em>with edible passion fruit, and edible climbing ferns, <em>Stenochlaena palustris</em>.  The trunks of the <em>Nypa </em>are submerged so the fruit, which is edible when it is immature, would have been accessible to terrestrial hominids. The delta facies contain shells of edible mollusks including oyster shells but at low density and scattered distribution. Crocodile and turtle fossils have been reported from the same sediments at other places in the Perning district. To date only one fish fossil has been identified. The photos of bantengs and nypa palm were taken from a web site of photographs of Ujung Kulon National Park but unfortunately the web site is no long available. </strong></p>
<p><strong>At other locations in Java where crania of <em>H. erectus</em> have been found, a succession of dry and wet climatic regimes can be documented in the fossil pollen record. The stratigraphy of the Sangiran dome, near where Sangiran 17 was found, documents a record from 2.6 M. A to 0.2 M. A. (Semah et al. 2003 ). The sediments at the Plio-Pleistocene boundary indicate the retreat of the seas and emergent land bridges between mainland Southeast Asia and the Indonesian islands. At all times, the habitat of East Java was characterized by high diversity with the hominid fossils dating to 800,000 years associated with pollen documenting a drier climate but tropical rain forest taxa still present. &#8220;In the area outside Sangiran, an Indonesian-French team has worked in the Southern Mountains of Java documenting a long sequence of occupation and adaptation to wet tropical environments from the late middle Pleistocene to the Holocene (Semah et al. 2003 p. 161).&#8221;</strong></p>
<p><strong>The second wave of human emigrants from Africa, <em>H. sapiens, </em>surely passed along these shores  as they reached southern Australia by at least 40,000 years ago.</strong><strong> The use of coastal, marine, and estuary resources by sapiens in Southeast Asia has been little considered as most of the focus in Asian archaeology has been on <em>H. erectus </em>in China and later populations transitioning from hunting-gathering strategies to farming. Erlandson (2001) attributes this neglect of coastal and aquatic adaptations to two factors, the widespread perception that hominids did not adapt to aquatic habitats before around 15,000 years ago and the obsessive attention to the idea that male-dominated big game hunting explained the origin of tool use, the formation of the nuclear family, and in its most recent incarnation the evolution of large brains. Erlandson labels one set of ideas about aquatic resources the &#8220;Gates of Hell&#8221; model as theorists proposed that humans only began to use lower quality aquatic resources when forced into marginal habitats by declining returns from hunting and/or by density dependent population growth, that is when they were forced from more desirable habitats. In the next section we are going to ask if foraging returns derived from one habitat can be used to guide inferences about returns in another time and place. This issue is especially relevant to the claims that evidence for the use of aquatic resources is evidence for habitat stress and decline of higher ranked resources.</strong></p>
<p><strong>Last resort scenarios ignore the evidence for the nutritional value of aquatic resources, the cultural complexity of societies subsisting on those resources, high human population densities in some of the most widely exploited riverine and coastal habitats, and the emerging archaeological data suggesting early adoption of aquatic resources. Instead proponents, of the last resort hypothesis, cite the small size of many of the marine resources such as mollusks, crabs, sea urchins, barnacles, and shrimp while ignoring the giant clams available on the reefs of the southern oceans, the abundance of individuals in extensive mollusk beds that characterize rocky coastlines north and south, the large number of stranded fish that can be acquired in drying pools, and nesting sea turtles as a source of eggs and meat. </strong></p>
<p><strong>Since many of the aquatic resources are sessile and predictable in time and space little search and no pursuit is involved in their harvest and interactions with other predators are rare. Further shell fish gathering requires no prior tool production, maintenance or preparation. Shellfish in particular are characterized by low variance, high density, and ease of collection, the very qualities that meet the daily nutritional requirements of growing children who can gather many of these resources for themselves. Erlandson cites a study by Jones and Richman (1995) showing that &#8220;mussel beds produce one of the highest rates of biomass production on earth (Erlandson 2001 p 294).&#8221; The supposed low quality of marine resources is derived from an estimate by Bailey (1978) &#8220;that 156,800 cockles were required to provide the caloric yield of one red deer (Erlandson 2001 p. 294).&#8221; Erlandson questions the accuracy of these estimates and later notes the analysis by Lindstrom (1996) of returns from the Truckee River fishery that are higher than return rates calculated by Simms (1987) for terrestrial Great Basin habitats. Shell fish are low calorie foods so would rank low in foraging models based on net energetic return but they have high <a href="http://www.eatmussels.com/nutrition.html" target="_blank">nutritional value</a> as sources of protein, calcium, and omega fatty acids. Ordinarily I would not post information from commercial sources but the chart comes from a USDA handbook and is a useful comparison of beef and shellfish. Later in the semester we will review arguments over the value of marine resources in the diet when we consider the research from the Okinawan centenarian study.</strong></p>
<p><strong>When you read the assigned pages in Erlandson pay attention to arguments over aquatic resources, the ambiguity of the archaeological record, the theoretical prejudices of the investigators, the nature of the resource in question, and the problem of changes in sea level with high interglacial levels destroying whatever archaeological evidence there might have been from periods of lower seas. Remember from Walter et al. (2000), Lecture 6, that the Pleistocene reef terrace at Eritrea was preserved by tectonic activity that uplifted a portion of the former shallow water reef. Notice, from Table 1 page 306 Erlandson (2001), that the sites with evidence of use of aquatic strategies span the time from 2.3M to 16.5K, a considerable time frame for the occupation of &#8220;marginal&#8221; habitats. Instead of regarding these habitats and strategies as marginal, new evidence and new hypotheses call for serious consideration of aquatic resources as central to the evolution of human dietary strategies. </strong><strong>Often the most obvious fact of human subsistence is unmentioned because it is so taken for granted. Erlandson calls our attention to the fact that freshwater for drinking is the &#8220;single most important aquatic resource for humans (Erlandson 2001 p. 293).&#8221; </strong></p>
<p><strong>Even as our earliest ancestors exploited the resources of the woodlands and grasslands, they must have stayed close to sources of water. The important archaeological sites of Africa are all in riverine or lacustrine environments. It is hard to imagine wild foragers ignoring the resources in and and around water sources especially when those resources could be captured and processed with very simple tools. Where simple tools were not adequate to the job, early sapiens were capable of making more sophisticated tools as evidenced by the hafted bone point technology from Katanda.</strong></p>
<p><strong>Although I have emphasized coastal strategies in this lecture we know that early anatomically modern humans did move into other ecological niches as shown by the occupation of Niah Cave in Borneo. The Deep Skull, tentatively dated to the time period between 43,000 &#8211; 40,000 B.P., has been found in late Pleistocene sediments of the cave. Niah cave is one of a series of caverns in sheer-sided limestone walls that rise nearly 400 m above the lowland rain <img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec7_Coastal%20folder/Lec7_Coastal/Niah_West_mouth.png" align="right" height="266" width="409" />forest. The present climate in the vicinity of the cave is tropical super wet with mean annual rainfall greater than 3000 mm and rare or very short seasonal dry periods. The Pleistocene climate may have been more seasonal but changes in rainfall and temperature regimes at this site, through time, have not been resolved. At the time of Pleistocene occupation, the cave may have been about 30 km from the sea. Floral and faunal elements recovered from the late Pleistocene levels suggest that &#8220;humans were foraging in a mosaic of closed forest, scrub, grassland, swamp, and freshwater lakes and rivers (Crangrook 2000:83, cited in Barton 2005:57).&#8221; Barton, along with others interested in drawing as much information as possible from the archaeological record, has been involved in the development of a new line of evidence from archaeological assemblages, the identification of starch grains through the comparison of grains found in sediments and on tools with grains from modern starches.</strong></p>
<p><strong> Though the evidence from Niah is scanty, starch grains from palm pith and deep-rooted species of yams have been identified from the site. At other sites in Melanesia, starch grains of elephant yams, taro, ginger, and swamp taro have been identified. Some of these taros require cooking, drying or leaching to remove toxic calcium oxalate crystals but the pith of certain palms can be eating raw. These palms have high energetic yields but some processing costs as the palms have to be felled and the fiber pounded or otherwise extracted from the trunk. Evidence from sites in Southeast Asia and the evidence we will discuss in Lecture 9 from the Ache demonstrates that forest environments provided rich habitats for human foragers. Recall from Lecture 6 that the islands of Indonesia were accessible by land during glacial periods when water was locked up in northern hemisphere ice shields. </strong></p>
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<p align="center"><span class="style21">Assigned Reading</span></p>
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<td><strong>Erlandson, Jon M., 2001. The archaeology of aquatic adaptations: Paradigms for a new millennium. J Arch. Research. 9(4): 287- 350. For this lecture read pages 287-321. </strong></td>
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<p align="center"><strong><span class="style22">Also Recommended </span></strong></p>
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<td><strong>Barton, H., 2005. The case for rainforest foragers: The starch record from Niah Cave, Sarawak. Asian Perspectives 44(1): 56-72. (Asian Perspectives available as electronic edition Marriott Library) </strong></p>
<p><strong>Huffman, O. F., Y. Zaim, J. Kappelman, D. R. Ruez Jr., J. de Vos, Y. Rizal, F. Aziz, C. Hertler. 2006. Relocation of the 1936 Mojokerto skull discovery site near Perning, East Java. J. Hum. Evol. 50: 431-451. </strong></p>
<p><strong>Huffman, O. F., and Yahdi Zaim. 2003. Mojokerto Delta, East Jawa: Paleoenvironment of <em>Homo modjokertensis </em>First Results </strong></p>
<p><strong>Semah, Francois, Semah, Anne-Marie and Simanjuntak, Truman, 2003. More than a million years of human occupation in insular Southeast Asia. In Under the Canopy: The Archaeology of Tropical Rain Forests. pp 161-190. ed. J. Mercader New Brunswick, NJ: Rutgers University Press. (available from Marriott Library, Course Reserves) </strong></td>
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<h2 class="form">File: Lecture 8 Optimal Foraging Theory</h2>
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<p class="style17" align="center">Anthro 4962 The Evolution of the Human Diet</p>
<p class="style19">Lecture 8</p>
<p class="style19">Optimal Foraging Theory</p>
<p class="style25">University of Utah Fall 2005 Helen Alvarez</p>
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<p class="style12" align="center">&nbsp;</p>
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<p align="center"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lect8_Theory%20folder/Lect8_Theory/WalkerLakeSm.png" border="0" height="320" width="236" /></p>
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<td><strong> Shores of Walker Lake (The North American Indian; v.15)  from Northwestern University Library,  <em>Edward S. Curtis&#8217;s &#8216;The North American Indian&#8217;: the Photographic Images</em>, 2001. Curtis described the setting of this photo: Walker lake, one of numerous saline lakes remaining from a great inland sea that once covered western Nevada and northeastern California, is the seat of a major division of the Paviotso. In the western corner of Nevada it is fed by Walker river, the numerous branches of which head on the eastern slope of the Sierra Nevada in California. Although there is no outlet, the water is not too saline for the thriving of trout and suckers, which were taken on bone hooks, with double-pointed spears, and in gill-nets.</strong></td>
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<p class="style20" align="left">The lectures to date have focused on the evolution of Plio-Pleistocene diets inferred from the archaeological evidence and from paleoecology informed by modern food preferences through an implicit assumption that the environment is populated with nutritious plants and animals to be captured by individual hominids ranging over that landscape. Most of you know from other classes and from your own diets that foragers are selective in their choices. The simple coincidence of resource and forager in the same habitat tells us little about the diets of the forager. To be fair we have looked at circumstantial evidence for use of some resources such as cut marks on bones, opened and cracked shells, processed fish bodies, special tools for capturing specific animals, and isotope ratios but all of that evidence provides only a coarse grained picture of early diets. Archaeologists interested in refining their assessments of past foraging strategies have applied models from optimal foraging theory (OFT) to help them understand the past. These models were originally developed by biologists interested in explaining the specific resource choices they observed in their study populations. They were subsequently used by evolutionary anthropologists to study diet choices in modern foragers subsisting on wild resources. Most of you know that the faculty and students from the University of Utah departments of biology and anthropology were very active in developing and applying these models.</p>
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<td valign="top" width="224"><strong>The first efforts toward understanding resource capture were undertaken by a Canadian entomologist, C. S. Hollings who designed a simple experiment modeling predator and prey interactions. The prey were represented by 4 cm sandpaper discs tacked to a 9 sq. ft. table. The predator was his blindfolded research assistant who tapped her fingers over the table until she encountered a disc, which she removed and set aside before returning to the task of &#8220;capture&#8221;. The trials were iterated at various prey densities and the relationship between rate of capture and disc density was plotted giving the marginal value curve shown on the right. The rate of capture does not increase in a linear fashion with the increase in the density of the prey.</strong></td>
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<p align="right"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lect8_Theory%20folder/Lect8_Theory/HollingsDiscS.png" align="top" height="324" width="372" /></p>
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<td bgcolor="#cccc99" width="641"><strong>Hollings&#8217;s results became the basis for the distinction between search and handling in the subsequent development of OFT. His simple experiments showed that search time was a function of prey density on the landscape while handling time after encounter was a function peculiar to the prey type. These distinctions became important in all subsequent OFT models.</strong></td>
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<p class="style22">Optimal foraging theory drew attention to the empirical fact that every resource has a cost of acquisition and processing. These costs make comparisons of energy yields of food meaningless unless handling costs are considered in the comparisons. Here I have posted Table 1 from Bright, Ugan and Hunsaker (2002) showing the energy yield of certain resources taken by Australian and Great Basin foragers and the Kcal/hr return for those resources after processing. I have sorted their table from highest net gain to lowest and plotted the yield with and without processing to show you how the rank of resources changes when the handling costs are debited.</p>
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<td valign="top"><span class="style22">Notice on the figure, drawn from the table, that resources with high energy density (red line) are not necessarily the resources that yield the highest returns after processing (blue line). From this set, the highest ranked resources are all animals with tubers ranking just below small game. Compare the yield of rabbits (#3) and pine nuts (#11) on both curves to see how processing costs change the relative rank of resources. If meat is always the highest ranked resource, across many habitats, why should human foragers ever take any other resource? You should be able to answer this questions by the end of Section II. </span></td>
<td><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lect8_Theory%20folder/Lect8_Theory/Fig1_rankS.png" height="273" width="372" /></td>
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<p><strong>How can the information from OFT be reconciled with the Grandmother Hypothesis for the evolution of human life histories from O&#8217;Connell et al. 1999 (Lecture 5)? The fundamental premise of OFT is sound as we expect natural selection to favor individuals that allocate energy to tasks that promote somatic growth, maintenance and reproduction. In any habitat those genotypes better at allocation decisions are expected to leave the most descendants, that is have the highest fitness, yet the expectations of the diet breadth models are often violated in real populations. All models assume a generic forager but the early work with the Ache demonstrated that men routinely ignore the highest ranked resource in the forest, palm starch, in favor of hunting. This falsification of the model was as important as the confirmation of most of the predictions for other resources because it raised the question of why men hunt which led through many populations and many papers to important ideas about the role of costly signaling in male-male competition and linked sexual selection theory and foraging theory. But sexual selection on males is not the only factor determining diet choice as risk and uncertainty influence forager choices.</strong></p>
<p class="style20" align="left">The idea that the value of a resource item is determined by the costs of search and handling changed the way investigators ranked prey items in the foragers environment. Many resources are energy dense but have high search and handling costs. It is not the absolute value, to a forager, of the resource but the net energy gain to the consumer after the energetic costs of pursuit and handling are debited. In most investigations of actual foragers net energy gains are calculated by debiting post encounter costs against the currency of the gain, usually calculated in caloric return per unit of time spent in pursuit, capture and handling.In the simple version of the optimal diet model resources are included in the diet based on the tradeoff between handling upon encounter and the option of continuing to search for other items. The decision is based on the mean rate of return for that particular habitat and the suite of resources within it. Be aware that post encounter returns are always much larger than returns reported with search time included unless search time is nil. The inclusion of processing costs in the equation reflects the net gain to the forager from choosing any resource and influences forager preferences for certain resources over others.</p>
<p class="style20" align="left"> Richard Lee&#8217;s failure to include processing time in the cost of mongongo nuts seriously under estimated the contribution of women&#8217;s work to family energy budgets and led to the characterization of the Dobe !Kung as the the original affluent society, meeting their subsistence needs with few hours of work. I have assigned two short readings, Sih and Milton (1985) and Hawkes and O&#8217;Connell (1985) debating the the use of OFT to study human resource choices and specifically the ranking of mongongo nuts in !Kung diets. These two papers will give you a sense of the early arguments over the application of OFT models to human foragers and the value and problem of simplifying assumptions. As you have already read in Erlandson, the failure to report search time for resources leads to the over estimation of returns from resources such as collared peccaries and makes comparisons of post encounter returns of resources, such as red deer and mussels from two very different habitats, meaningless.</p>
<p class="style20" align="left">Note in all of the lectures that follow I have tried to maintain the notation, calories, cal/hr, Cal/hr, or Kcal/hr used in the assigned papers. The <a href="http://www.hpb.gov.sg/hpb/default.asp?pg_id=1462" target="_blank">notation</a> is confusing, but the link provides a simple explanation of the differences. For our purposes we assume that investigators are referring to Kcal when they use cal, Cal or calories to indicate the energetic gains from any resource.</p>
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<p align="center"><span class="style24">Risk, Uncertainty and the Forager&#8217;s Energy Balance </span></p>
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<p><strong>Winterhalder, Lu and Tucker (1999 p. 302-303) distinguish between risk and uncertainty by defining risk as &#8220;unpredictable variation in the outcome of a behavior, with consequences for an organism&#8217;s fitness or utility.&#8221; Further &#8220;with risk the probability distribution of outcomes is in some sense known to the organism, but stochasticity makes any particular outcome unpredictable.&#8221; &#8220;Uncertainty refers to incomplete knowledge of outcome probabilities. Uncertainty can be overcome by acquiring information about an environment; risk cannot.&#8221; They make the point that risk as used in behavioral ecology and economics does not &#8220;mean exposure to danger.&#8221; The authors point out that simple foraging models assume the forager always experiences the average conditions of its habitat where decisions have predictable outcomes. This assumption is central in all debates over the role of big game hunting in the evolution of the human diet. </strong></p>
<p><strong>When we examine Hadza foraging strategies we will consider the high variance in game capture and contrast that to figures for the average amount of meat in the diet. In contrast to deterministic models, risk sensitive models assume organisms adjust to a range of possibilities arrayed along a probabilistic distribution. In addition risk-sensitive analysis specifies the relationship between the outcome and its fitness value resulting in a sigmoid curve. To the left of the inflection point of the curve value rises with increasing resources but at an accelerating marginal rate when the resources are scarce and at a decelerating marginal rate when they are abundant. In simple language, with too little food &#8220;added increments have high value and with too much, added increments count for little (Winterhalder et al. 1999 p 304).&#8221; The work of Curaco and his colleagues, with yellow-eyed juncos, showed that the utility function for the birds takes the sigmoid form. There is no reason to suspect that hominids are any less responsive to variable outcomes. If you are interested in further exploration of these ideas the figures presented in the Winterhalder et al. (1999) paper will give you a much better sense of the issues. I have posted the paper under also recommended for those of you interested in a more detailed explanation. </strong></p>
<p><strong>Since value is measured as a rate, usually in calories gained per unit time, the sigmoid value function is time sensitive and this sensitivity varies with respect to the physiology of the organism and the character of the resource. Think back to Lecture 1 and the link to the Moran Eye center Web vision site with the graphic demonstrating the daily rebuilding of the pigment containing discs of the rods and cones. Stores of vitamin A must be sufficient to support the daily demands of this process. Winterhalder et al. (1999) make the same point about water acquisition. The preference for a reward of <em>k</em> liters/hr and equal probabilities of 0 or 2<em>k</em> liters/hr will depend upon whether the result will be suffered for hours, days or weeks before choice and outcome are reiterated. </strong></p>
<p><strong>Responses of the organism to risk are determined by design by natural selection over the long time frame and the physiological state of the organism over shorter time frames. In general females are expected to be more risk adverse than males and organisms in negative energy balance are predicted to be more risk prone. The latter prediction was confirmed in experiments with yellow-eyed juncos whose foraging choices were observed under different temperature regimes that influenced energy balance. Given two foraging options with constant or variable rewards, birds in negative energy balance favored the high variance reward, presumably in the attempt to gain a reward sufficient to change their energy balance. </strong><strong>The excitement generated by these results was tempered by a number of experiments that failed to replicate the results. Winterhalder et al. (1999 p. 323) conclude; &#8220;These studies suggest that the expected energy budget rule may apply only rarely to hominids, nonhominid primates, and modern humans which are omnivorous and relatively large species.&#8221;</strong></p>
<p><strong> They might have qualified their statement to include only adult humans as anthropologists and archaeologists, with few exceptions (cf. O&#8217;Connell et al. 1999), have ignored the consequences of short periods of negative energy balance on the growth and development of neonates, infants, and juveniles. Conversely, resistance to short-term perturbations in energy balance may be an advantage of large body size that contributed to the success and expansion of <em>H. erectus. </em>We need to be careful here not to attribute the evolution of large body size to a resistance to short term negative energy balance. Such resistance can be a consequence of large body size but the causal arrow on the evolution of large body size runs from mortality risks in the environment of the species. Following Charnov&#8217;s (1993) mammalian life history model, large body size is a consequence of more time to grow larger because lower average adult mortality, from extrinsic causes, favors delaying the change from somatic to reproductive allocation. Organisms that experience low average adult mortality rates, grow longer, mature later and have longer lifespans. These are the derived traits that distinguish us from our nearest primate relatives. These arguments were reviewed by O&#8217;Connell et al. (1999). </strong></p>
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<p><strong>The last assigned reading for this lecture is a paper by Elston and Zeanah in which they use models from behavioral ecology to understand the Holocene transition evident in the archaeological record of the Great Basin. Most of you know that our department has been in the forefront of extending foraging theory to hunter-gatherers but you may not be aware of the innovative ways the models are being applied to solve longstanding problems in Great Basin archaeology. The paper by Elston and Zeanah is a good example of this work as well as providing a link, in this course, from ancestral populations known only from the archaeological record and the next set of papers from more recent foragers. The opening graphic of this lecture, from the work of Edward S. Curtis, is intended to emphasize the importance of Great Basin studies to applications of optimal foraging theory to human foragers and to highlight the importance of ethnographic analogs to this work.</strong></p>
<p class="style20" align="left">The record of human occupation in the basin can be divided into two distinct time frames labeled Prearchaic for the period from 10,500-8000 BP and Archaic for later occupation. The early Holocene (EH) climate experienced by Prearchaic populations was cooler and wetter than climates after about 7800 BP. &#8220;The relatively cool, even EH climate, abundant surface water and complex steppe vegetation created productive habitats for a rich biota of fish, waterfowl and mammals (Elston and Zeanah 2002 p. 107).&#8221; The tool assemblages from this time period have an array of projectile points and flaked tools indicating a hunting economy but the coprolites recovered from the sites indicate a diet that included many of the resources of the lakes and marshes plus seeds and small animals, quite unlike a diet predicted from the graph of energy yield posted above. Basin occupants in this time period had access to a variety of resources within short travel distances as basins with lakes and marshes were separated by ridges with brushy steppes and juniper woodland from mid-elevation to ridge tops providing high-quality habitat for larger game animals. Moreover the scatter, size and character of the archaeological sites from this time period indicate low population density and high mobility of foraging groups.</p>
<p class="style20" align="left">An attempt to use the diet breadth model to explain the evidence for the addition of seeds to the diet failed as the model developed by Simms predicted that women should have by-passed seed under all conditions, including the absence of large game, a prediction contrary to the clear evidence for seed use. A second model analyzed the distribution of soil types in the basin to develop a patch choice model. The simulations based on the distribution of lowland and upland habitats predicted that women should bypass seeds in favor of other plant resources and small game and men should have targeted only large and medium size game. This model fails to explain the evidence for small animal consumption found in the coprolites. Finally a risk sensitivity analysis returned the prediction that risk prone foragers should favor the high variance option &#8220;preferentially pursuing large game over smaller game and foraging in habitats where encounters with large game were most likely (Elston and Zeanah 2002 p. 115)&#8221; while risk sensitive foragers should prefer lower-ranked resources characterized by low variance in acquisition. From this model, Pinson (1999, cited in Elston and Zeanah 2002) hypothesized that Prearchaic foragers avoided starvation risk by pursuing small game. That is they were risk adverse.</p>
<p class="style20" align="left">Elston and Zeanah (2002) note the following problems in Pinson&#8217;s analysis; 1) the model ignores the possibility that Prearchaic foragers might have entered basins where foraging returns did not meet daily requirements at which point the risk of starvation should have prompted the risk prone strategy of choosing the high variance option of large mammal hunting, 2) if Prearchaic foragers were risk adverse they would be expected to forgo migration from known basin habitats to new, unknown locations, and 3) if EH environments were as patchy as predicted by Pinson, the Prearchaic archaeological record should more nearly correspond to the Archaic record when climate deterioration reduced the density of high ranked prey. Increasing search time would have been a consequence under both conditions.</p>
<p class="style20" align="left">Zeanah et al. (1999) used some of the techniques from Pinson&#8217;s analysis of Carson Desert foraging in simulations of optimal foraging in Railroad Valley but in the latter analysis &#8220;more detailed regional palaeoenvironmental data, better information on the productive capacity of modern soil types and improved GIS (Geographic Information System) capabilities permitted a more finely tuned reconstruction of prehistoric foraging landscapes than was feasible in the Carson Desert (Elston and Zeanah (2002 p. 117).&#8221; The Railroad Valley simulations considered male and female foragers randomly encountering resources across spatial and seasonal variation. From the early Holocene (EH)to middle Holocene (MH) hunting returns for men diminished by as much as 75% in all seasons. By contrast women&#8217;s returns varied much less across the transition, increasing somewhat in autumn as pinyons entered the ecosystem. As habitats dried out in the MH, wetland resources disappeared as options for women allowing lower ranked small seeds to enter the diet in late winter-early spring.</p>
<p class="style20" align="left">The authors conclude that the highly productive ecosystems of the EH and the low population numbers encouraged high mobility that allowed men and women to forage in the most productive habitats for their resource choices. As the climate changed and women&#8217;s wet land resources declined, Great Basin foragers faced the risk of starvation in certain seasons. In the face of this risk women collected small seeds in seasons when they were abundant and stored them for the short season. Seed caches changed the pattern of mobility for both men and women, encouraged residential bases, lower investment in tools for large game hunting and more investment in tools such as grinding stones for seed processing. Bright, Ugan and Hunsaker (2002) predicted increasing investment in processing tools to reduce handling cost as lower ranked resources enter the diet in response to a decline in the density of higher ranked resources. The change in grinding stone technology, through time, in the Little Boulder Basin area of north-central Nevada supports that prediction. These innovative approaches linking optimal foraging theory, resource changes through time, and changing investments in technology increase our confidence that ancestral diet choices can be studied and understood. In lecture 9 we will look at how foraging models, applied to resource choices in modern hunter-gathers, have improved our understanding of human diet choices.</p>
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<p align="center"><strong><span class="style21">Assigned Reading</span></strong></p>
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<td><strong>Sih, Andrew and Milton, Katherine. 1985. Optimal diet theory: Should the !Kung eat mongongos? Amer. Anthropol. 87(2):396-401. </strong></p>
<p><strong>Hawkes, Kristen and O&#8217;Connell, James F. 1985 Optimal foraging models and the case of the !Kung. Amer. Anthropol. 87(2):401-405. </strong></p>
<p><strong>Elston, R. G. and Zeanah, D. W. 2002. Thinking outside the box: A new perspective on diet breadth and sexual division of labor in the Prearchaic Great Basin. World Arch. 34(1):103-130. </strong></td>
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<p align="center"><strong><span class="style21">Also Recommended </span></strong></p>
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<td><strong>Winterhalder, B., Lu, F., and Tucker, B. 1999. Risk-sensitive adaptive tactics: Models and evidence from subsistence studies in biology and anthropology. J. Arch. Res. 7(4): 301-348. </strong></td>
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<h2 class="form">File: Lecture 9 The Ache: Broadleaf Evergreen Foragers</h2>
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<p class="style18">Anthro 4962 The Evolution of the Human Diet</p>
<p class="style19">Lecture 9</p>
<p class="style19">The Ache: Broadleaf Evergreen Foragers</p>
<p class="style25">University of Utah Fall 2005 Helen Alvarez</p>
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<p class="style20" align="center">Ache Man Carrying the Head of a Tapir</p>
<p class="style21" align="center">photo from anthrophoto.com</p>
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<p align="left"><strong>The Ache are foragers of the subtropical, broadleaf, evergreen forest of Paraguay. I chose this example because Ache foraging has been intensively studied by the Utah Ache Project and as a comparison to semiarid African strategies. The warm, wet summer regime of the Ache forests are similar to <a href="http://www.answers.com/topic/k-ppen-climate-classification" target="_blank">habitats </a> widely distributed from South America to Indonesia between 20 degrees north and south of the equator in regions with annual average precipitation varying from <a href="http://www.metric-conversions.org/length/millimeters-to-inches.htm" target="_blank">1600 mm</a> to 2000 mm. Temperature regimes in these habitats are characterized by warm summers and warm to cool winters with January maximums in the Ache region of around <a href="http://www.online-calculators.co.uk/conversion/centigradefahrenheit.php" target="_blank">40 degrees centigrade</a> and July minimums of about -3 degrees centigrade. Early anatomically modern humans moving south toward Australia and north into China, Viet Nam, and Thailand must have encountered these habitats and foraged in them. The early Pleistocene archaeological record of upland Southeast Asia is little explored but the Ache can serve as a reasonable analog of human foraging strategies in humid subtropical ecosystems. Keep in mind that the distribution of these ecosystems, through time, was determined by northern hemisphere glacial cycles. On the Koppen climate classification map pictured below the Ache habitat is shown in green, warm to hot wet summer, cool dry winter. </strong></p>
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<td><strong>Note the distribution of zones colored purple, pink, pale yellow and medium green. All of these zones are characterized by wet conditions during the season of maximum solar insolation. </strong></td>
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<p><strong>The required reading for this lecture, Hawkes, Hill, and O&#8217;Connell (1982) is one of the earliest reports of the use of OFT to analyze resource choices of humans foraging on wild food. Even though the preliminary data in this paper has been revised and corrected in subsequent papers, I have assigned this early paper because it provides a brief history of the arguments, in anthropology, over human diets and because of the broad picture it provides of Ache foraging. The northern Ache were full-time hunter-gatherers until mid-1970 but now live at settlements sponsored by a Catholic mission. At the time the research was conducted by the University of Utah Ache project, they still engaged in foraging expeditions and lived on wild resources during their time away from camp. Hawkes et al. (1982,) contrast the views of Richard Lee, developed from his field experience with the !Kung, to those of Marvin Harris developed in a series of debates with Napoleon Chagnon over the causes of violence among the Yanomamo. Harris argued that the Yanomamo fought over scarce protein resources while Lee&#8217;s tally of foods eaten daily in !Kung camps convinced him that plant foods were more important than meat. Harris argued that meat was nutritionally superior to plants and would only be replaced by plants when large game animals had been depleted by hunting pressure. The important themes that would subsequently dominate debate over foraging strategies in modern hunter-gatherers are set out in Hawkes et al. (1982 p. 380).</strong></p>
<p align="left"><strong> &#8220;Lee argues that plant foods are favored because they are abundant, reliable, and readily located, and therefore more efficiently exploited than are animal foods. Plants are said to be low-risk/high-return resources, while animals are high-risk/low-return resources. Animals are taken in spite of the inefficiencies involved because of the taste appeal of the meat and the prestige that accrues to successful hunters.&#8221; </strong></p>
<p align="left"><strong>Hawkes et al. (1982) use two models from OFT, the optimal diet model and the patch choice model, to predict the resources the Ache should gather if they are maximizing net energy return. You were introduced to the optimal diet model by Elston and Zenah (2002), lecture 8, so you should know that the forager is assumed to make a decision about whether to take a resource upon encounter or to continue searching. Resources are ranked based on the return in calories over the post encounter processing times including both pursuit, for mobile prey, and processing to turn the resource into food. The forager is predicted to take only those resources that give a return rate equal to or higher than the average rate for resource in the optimal diet. Recall the Hollings Curve which showed that search and handling time are distinct elements of the problem, the search time is determined by the density of prey on the landscape but the net returns from that prey are determined by the handling time. It is the net return, after handling, that determines the rank of the prey in the diet. </strong></p>
<p align="left"><strong>In the simple form of the model high ranked prey should always be taken when encountered. Hawkes, Hill and O&#8217;Connell make a very important point on page 388: &#8220;Note that the resource rankings of this model say nothing about the quantitative importance of a resource to optimal foragers. High-ranked items may be so rarely encountered that they represent only a very small portion of the diet; low-ranked items in the optimal set may be encountered with sufficient frequency to contribute the bulk.&#8221; Keep this in mind when we get to the disputes over the importance of various foods for contemporary human nutrition. Three additional points, 1) when the cost of search is added to the cost of any resource, its value to the forager, in absolute terms, may decline, 2) all optimal diet models are specific to a habitat and time period, and 3) the optimal diet model assumes a fine-grained environment where resources are encountered at random.</strong></p>
<p align="left"><strong>Foraging trips with the Ache showed that the environment is coarse-grained or patchy with many resources clumped. On foraging trips the Ache often stop to harvest in some resource patches but not others. The authors suggest that the &#8220;distribution of tools&#8221; (Hawkes et al. 1982 p. 391) might account for the decision but discard that suggestion because the Ache nearly always take oranges and honey, even though both are harvested with the use of axes, but often pass palm fiber. The patch choice model predicts that foragers use patches that produce the best return when travel time, search within the patch, and handling time are considered. Notice that return figures for patchy resources include the time for searching within the patch. If both animals and oranges are considered as patches the average energetic gain return for hunting, including search is about 1115 Cal. per hunter-hour while the return for oranges is 4438 Cal per forager-hour and the return for honey is 3231 Cal/hr. Palm larvae has a similarly high return rate of 1849 Cal per forager-hour but involves the risk of high variability across logs. Returns calculated for fishing patches were similarly variable, ranging from &gt; 2000 Cal per forager-hour to about 733 Cal per forager hour leading to two questions, when should foragers exploit palms and when to take fish. The average return rate in calories per hour of sixteen resources taken by the Ache are listed in Table 3, page 389. Notice that collared peccaries are a very high ranked resource but no search time is factored into the estimate of return. </strong></p>
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<p align="center"><strong><span class="style23">Summary: Five Years of Research </span></strong></p>
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<p align="left"><strong>Subsequent analyses of the data from five years of research on Ache resource choices reported in Hill et al. (1987) highlighted both the value and problem of using optimal foraging theory for analysis of human foraging choices. First detailed records showed that a theory for generic foragers failed to capture the different strategies of males and females. Among the Ache, men achieve significantly higher returns, 1253 Cal/hr, than women, 1087 Cal/hr. These figures are averaged over all resources taken by Ache men and women and include both search and handling costs. Before processing the rates are more nearly the same, 1339 Cal/hr for men and 1221 Cal/hr for women. The differences in rates indicate the high cost of processing palm fiber. Men often by pass palms but when they do take them they gain higher rates because they process the fiber faster than women. Consistent with the predictions of OFT models only one of the 26 resources taken by the Ache gave returns, after encounter, lower than the overall mean. That resource was palm larvae, mostly taken by women but sometimes also collected by men. Contrary to the predictions of the theory that foragers should preferentially target high return resources, returns from adult male hunting, 1349 Cal/hr, were lower than the caloric return, 2630 Cal/hr that could be obtained from palm starch and hearts (Hill et al. 1986). </strong></p>
<p align="left"><strong>The observations that men gain higher returns than women, on average, changes if returns are compared for days when camp is not moved. On days when the group is moving women carry babies, pets, household belongings, and any meat the men catch. Men keep hunting after turning over meat they have already caught. Because of the opportunity cost of processing, most Ache processing work is completed in camp at the end of the day. When the Ache women are moving they pass many resources they might otherwise gather so their return rates on camp move days is very low. By contrast when they stay in one camp for several days, the women achieve a return on gathering of 2804 calories per hour compared to a return rate for men, on these days, of 1344. These figures include all time spent in food acquisition and processing. </strong></p>
<p align="left"><strong>These results raised the question of why men hunt and suggested two alternative hypotheses, 1) caloric return per unit of time is not the only currency by which foraging strategies should be judged and 2) fitness payoffs for hunting are broader than meeting subsistence requirements. The first hypothesis proposes, in agreement with Harris, that meat is more highly valued than plant food because of high protein and lipid content. You can evaluate this hypothesis by recalling the human RDA for lipids and protein in the diet as reported by <a href="http://www.cast.uark.edu/local/icaes/conferences/wburg/posters/nconklin/conklin.html" target="_blank">Conklin-Brittain et al.</a>, lecture 2 and the values of lipids and proteins that can be acquired from plant foods. When you open the link search on RDA to compare values in chimpanzee diets to RDA for humans. Also have a look at the figures and ask if annual averages reported in the charts are misleading. Monthly mean lipid levels in the diets are much more variable than monthly mean protein levels. Even though the annual mean lipid level in the chimpanzee diet seems sufficient to meet the RDA for humans the high variance may not provide adequate daily lipid consumption. The second hypothesis, suggested but not fully developed in this paper, is that men opt for a high variance strategy that promises a large payoff when successful. The payoffs for hunting include not only the calories, proteins, and lipids gained from the meat but mating benefits for good hunters. This last payoff is more fully developed in the papers on Hadza hunting. </strong></p>
<p align="left"><strong>The work with the Ache demonstrated that human foragers differ, by age and sex, in the amount of time they spend foraging, the resources they take, and the amount of time they spend processing. The resources a forager takes on any day is not only a function of the costs of pursuit and handling but of the foragers state and the time frame over which the subsistence needs exist. Lower ranked fruit that can easily be gathered and eaten while moving will often be collected to satisfy short term needs while large game and palm starch are taken to satisfy needs over several days. In all cases the ranking of resources is habitat specific and even in the relatively stable habitat of the lowland deciduous forest can vary by season. The Ache only hunt and dig armadillos in the late wet season when the animals are fat and the average return is 3948 cal/hr compared to a return of 1220 cal/hr in the early wet season. </strong></p>
<p align="left"><strong>The emphasis on highly ranked resources might leave the impression that the Ache diet is very narrow but the list of wild plants and animals taken by the Ache suggests otherwise. Have a look at Table 2 from Hill et al. (1987), below to get some idea of the variety in the diet. Remember larva are the only resource that reduces the average return, over all resources included in the diet. The optimal diet model predicts that the Ache should never take bamboo larva but ethnographic observations indicate larva are often collected. Do the Ache take larva because they value the high fat content of larva? This question is still the subject of debate so no clear answer but exceptions to the predictions of OFT do not diminish the usefulness of the model. Instead they open new windows into human foraging strategies. </strong></p>
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<td bgcolor="#dddddd"><strong><span class="style24"> Hill, Kaplan, Hawkes, and Hurtado (1987) Foraging decisions amount Ache hunter-gatherers: New data and implications for optimal foraging models. Ethology and Sociobiology 8: 1-36. </span></strong></td>
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<p align="left"><strong>The Ache are exceptional, among studied hunter-gatherers, in the number of calories they consume daily, 3610, and in the amount of meat they eat, 80% of calories from meat. Notice in Table 2, the difference in return rates depending upon the included costs. The return for White-tipped peccary is 5323 calories/hour if time spent tracking is debited but as high as 8755 calories per hour if only post encounter rates are considered. Similarly Ache men obtain a much higher return for 9-banded Armadillos they encounter on the surface compared to those they dig up. The variation in these rates makes it nearly impossible to compare return rates across foragers if the ethnographers don&#8217;t clearly distinguish between the methods of calculating rates. Keep these problems in mind as we survey foraging strategies across habitats.</strong></p>
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<td><strong>Hawkes, K., Hill, K., and O&#8217;Connell, James F. 1982 Why hunters gather: optimal foraging and the Ache of eastern Paraguay. Am. Ethnol. 9(2): 379-397. </strong></td>
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<p align="center"><strong><span class="style23">Also Recommended </span></strong></p>
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<td><strong>Hill, K., Kaplan, H., Hawkes, K., and Hurtado, A.M. 1987 Foraging decisions among Ache hunter-gatherers: New data and implications for optimal foraging models. Ethology and Sociobiology 8:1-36. </strong></td>
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<h2 class="form">File: Lecture 10 Semiarid African Strategies</h2>
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<p class="style18">Anthro 4962 The Evolution of the Human Diet</p>
<p class="style19">University of Utah Fall 2005 Helen Alvarez</p>
<p class="style19">Lecture 10</p>
<p class="style19">Semiarid African Strategies</p>
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<p align="center"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lect10_SemiArid_Africa%20folder/Lect10_SemiArid_Africa/KungBerries.jpg" height="375" width="550" /></p>
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<p align="center"><span class="style20">!Kung Mother with Her Baby on Her Back Gathers Berries</span></p>
<p align="center"><strong>photo by Marjorie Shostak from    <a href="http://www.anthrophoto.com/" class="linkification-ext" title="http://www.anthrophoto.com">www.anthrophoto.com</a>  </strong></p>
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<p><strong>In this lecture we focus on the foraging strategies of the !Kung and Hadza hunter-gatherers of the semiarid region of Africa. The work of Lorna and John Marshall and Richard Lee made the Kalahari San the archetype for hunter-gatherers and the evolution of human foraging strategies. Their work in Southern Africa was complemented by the early work of James Woodburn among the Hadza of Tanzania and the detailed work of James O&#8217;Connell and Kristin Hawkes among the same group. As a consequence of these efforts we know more about human foraging in semiarid environments than in almost any other habitat. You viewed the map of present climatic regimes in the last lecture. Go back and have a look at the distribution of semiarid lands in Africa, the bright yellow and three shades of orange areas. The !Kung San live in the Kalahari desert of southwestern Botswana and eastern Namibia and the Hadza occupy the area around Lake Eyasi just south of the equator in Tanzania. Both areas are characterized by seasonal rainfall and shortages of surface water in the dry season. In these semiarid, seasonal rainfall climates, precipitation is highly variable from year to year and across the region in any one rainy season. In the Kalahari, over eleven years, precipitation varied from a low of <a href="http://www.metric-conversions.org/length/millimeters-to-inches.htm" target="_blank">252.1 mm</a> in 1962 to high of 788.9 mm the next year. Temperatures in the Kalahari vary from a high of 40 degrees centigrade in November-December to a low of nearly <a href="http://www.online-calculators.co.uk/conversion/centigradefahrenheit.php" target="_blank">-10 degrees centigrade</a> in July and August. The climatic regime of the two regions is very similar but the topography couldn&#8217;t be more different. These topographic differences have important implications for differences in foraging strategies of !Kung and Hadza children. In the lecture on children&#8217;s strategies we will consider those differences. This is a long lecture but the reading assignment is not excessive and I promise you a short Lecture 11. </strong></p>
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<p align="center"><strong><span class="style21">Hadza Country </span></strong></p>
<p align="left"><strong>Hadza country is characterized by rocky hills covered with mixed Acacia scrub and grass leading down to narrow, grass covered valleys. Foragers walking through this landscape to hunt or gather have vistas and landmarks to guide them. In this area children are able to forage away from home and find their way safely back to camp. We will come back to the habitat differences when we discuss juvenile provisioning and ask why the !Kung children are not able to gather more of their own resources. </strong></p>
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<p class="style20" align="center">!Kung Bushland</p>
<p align="left"><span class="style22">The Kalahari is a vast plateau at 1100 m above sea level covered by grasses and woodland trees growing to about 30 m in height. It is a nearly featureless plain with few landmarks to guide the hunters and gatherers who make their living from its resources. Even though habitat variability seems low there is some topographic relief provided by lower lying, shallow, seasonal river beds, called <em>molapo</em>, and frying pan shaped dry lakes which hold water for a few days after a heavy rain but are otherwise hard and dry most of the time. After the rains, the Kalahari plains are grass covered. The higher land supports low shrubs that give way to taller woodland trees on the sand dunes and finally, on the outermost zone, open scrub plain. Each of these habitats provides a unique suite of resources for the !Kung. The woman introducing this lecture is gathering berries that grow on the scrub plain. </span></p>
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<p><strong> The widely read early work and films from Lorna and John Marshall and later the careful measures of !Kung foraging returns by Richard Lee established the !Kung as archetypal human hunter-gatherers even though their habitat represents a very small percent of the habitats occupied by early <em>H. sapiens. </em>The notion that early humans evolved in an ecological niche similar to those occupied by the !Kung and Hadza focused the attention of researchers on big game hunting as the principle dietary strategy of humans to the exclusion of other foraging strategies. You were introduced to this problem in the reading from Erlandson (2001), lecture 7. Review it here so that you can put the dietary strategies of semi-arid lands in the context of variable human responses to the opportunities presented over the long migration from Africa. Once Richard Lee measured the actual food brought into a !Kung camp, in the Dobe area of the Kalahari, he came to the conclusion that plant foods represented the principal component of the diet. The Dobe !Kung men do hunt but the returns are highly variable. In spite of the variable nature of returns from meat, it is a highly desired resource. When a large game animal comes into camp everyone eats meat but on the many days when there is no meat in camp, men, women and children do not go hungry. They enjoy other foods gathered from the sandy plains of their homeland.</strong></p>
<p><strong>I have assigned chapter 2 of Jiro Tanaka&#8217;s 1980 report on the !Kung San of the central Kalahari. You can download the reading from Marriott Course reserve. Tanaka&#8217;s field work was accomplished in the sixteen months he spent in the field between 1966 and 1968, sixteen months from April 1971 to August 1972 and two more months in 1974. </strong><strong>In his introduction to San, Hunter-Gatherers of the Kalahari, Tanaka makes the point that desert is a misnomer for this region as it is an expansive, monotonous, grassland dotted with open woodland trees and shrubs characterized by a summer rain season from December to March. Tanaka gives you a study of diet in an area where there are no mongongo nuts, the most important dietary staple in the area where Richard Lee worked. Richard Lee made the San famous through his measurements of the number of hours spent gathering food. Since he didn&#8217;t count processing times his estimates left the impression that the !Kung could satisfy their dietary needs in no more than 2-3 days per week. As you know from reading the Hawkes and O&#8217;Connell (1982) response to Sih and Milton (1982) Lecture 8, mongongo nuts have particularly high processing costs. </strong></p>
<p><strong>The principal foods of the central Kalahari San are listed in Table 8. Even though Tanaka did not use the framework of OFT to study resources gathered, the first eleven foods listed in Table 8 constitute the important resources in the diet. Notice the importance of melons and roots, that store water, for a people who have no access to surface water through much of the year. Tanaka attributes the ability of the San to survive in this very habitat to the technology of the digging stick which allows humans to access deeply buried tubers that cannot be gathered by any other primate, including savannah baboons who live on shallow rooted species in other habitats but need access to surface water so are unable to colonize the central Kalahari. Four of the important resources are shown in the next table. I was unable to find a good picture of <em>Bauhinia </em> beans. The shrub is a beautiful ornamental of the nursery trade so all of the online images feature the flowers and not the pods and beans. </strong></p>
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<td align="left" valign="top" width="260"><strong>The four resources pictured here are not quite to scale but give you an idea of the foods listed in Table 8. First is <em>Citrullus lanatus</em>, the wild version of our cultivated watermelon.  Second in the top row is <em>Acanthosicyos naudiniana</em>, the Kan melon. Surprisingly these melons can be gathered and kept for many months to supply water and some nutrients. Notice the relative size of these two melons in Tanaka p 60. The tubers that are so important when melons are not available are illustrated in the next panel. This tuber is probably <em> Coccinia rehmannii</em>. The final panel shows a Moroccan truffle of the same genus as the Kalahari truffle, <em>Terfezia. </em>North African truffles are now marketed to the global gourmet food trade. </strong></td>
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<p><strong>Consistent with OFT, Tanaka (p 59) reports that beans of <em>Bauhinia petersiana </em> are the &#8220;central food item for several months&#8221; making &#8220;up nearly the whole of the San&#8217;s diet&#8221; in months when they are ripe and water is available. &#8220;Even though this is the period of greatest abundance and variety of food types during the whole year, people often totally ignore other foods.&#8221; This latter is somewhat surprising as the beans must have high carrying and processing costs since the inedible pod accounts for 75% of the whole weight so approximately 5 kg of pods and beans are carried back to camp to yield 1 kg of edible beans. Table 12 in Tanaka gives nutrient analysis of the important plant foods and Table 13 provides an estimate of the daily caloric intake per person. The figures are not intended to be totaled but to show what might be gained if 5 kg of Kan melon were eaten each day. </strong></p>
<p><strong>On page 74, Tanaka gives an estimate of 2,000 kcal for the per capita yield of food taken during the study period and finds that return consistent with the caloric needs of individuals of the size and weight of adults in the population. Compare the protein content of <em>the </em>dried beans of <em>T. esculentum</em> and <em>B. petersiana</em> and dried <em>Terfezia </em>to the protein composition in animal foods, Table 12 and Table 14, Tanaka. We can&#8217;t be sure the units reported are the same but if we assume g/100 grams in each case the plant foods are comparable in protein gain to the animal foods. <em>T. esculentum</em>, <a href="http://ift.confex.com/ift/2005/techprogram/paper_26991.htm" target="_blank">marama bean</a>, is being developed as a commercial crop in arid regions of Australia and Texas as it &#8220;is an excellent source of good quality protein and compares well with other protein foods including soybeans. Its oil is rich in mono- and di-unsaturated fatty acids and contains no cholesterol. It is also a good source of calcium, iron, zinc, phosphate, magnesium, B vitamins and folate (quoted from the web abstract). &#8221; </strong></p>
<p><strong>The number of game animals taken during the study period is shown in Table 11. Giraffes are the largest animals hunted by the San but they are rarely captured in the very dry habitat of the Central Kalahari. More commonly captured are the gemsbok, eland and kudu each weighing 200 to 300 kg. When the amount of meat taken is averaged over all camps, Tanaka estimates that a group of 50 San kill and share approximately 5,600 kg of game in a year or about 112 kg per person or .30 kg per day. From his description we know that meat comes into camp rarely so averages are hardly adequate to estimate the amount of meat eaten. When a large animal is captured people eat nothing but meat until the animal is finished and then go without meat for many days. On page 67, Tanaka describes the sharing pattern for game, large game animals weighing 100 to 300 kg are shared among all the members of the camp, smaller animals such as duiker and steenbok are distributed over a smaller circle of families and still smaller game, birds, springhares and hares are &#8220;usually consumed within the family.&#8221; </strong></p>
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<td align="left" valign="top" width="288"><strong>It is difficult to get a sense of the size of the eland in this photo but if you convert 300 kg to lbs these animals weigh about 660 lbs. Compare that to beef cattle weighing from 600 to 900 lbs. Lee estimates the edible fraction of game taken by the Dobe !Kung to be 50% of the live weight or 150 kg for an eland. In Table 5, reproduced below, he lists per capita consumption of meat at 230 grams. Calculating .230 kg per consumer day a large eland would provide 652 consumer days of meat. Dividing that by a camp size of 30 gives 21 days. However we know that the meat would spoil long before it was consumed at that consumption rate. Even though meat can be dried in the hot sun of the Kalahari it is most often consumed within a few days of capture. </strong></td>
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<td align="left" valign="top"><strong>In this photo of gemsbok you get a good sense of the red sand of the Kalahari and the formidable task of a hunter taking these impressive animals with only bow and arrow. Adult gemsbok males weigh from 167 to 209 kg with females smaller at 116 to 188 kg. Tanaka (p 77) reports that a gemsbok was brought into camp on Oct. 12 and nearly all consumed by the end of the next day. Again if we use Lee&#8217;s figures for edible yield and a mid-range figure of 188 for a male animal we can estimate 94 kg of meat in camp. On that same page, Tanaka reports 16 providers and 14 dependents so 30 people consumed, on average, 1.57 kg of meat each day for the two days the meat lasted. To convert these figures to caloric gain we can use Lee&#8217;s figures from Table 5 of 690 calories in 230 grams of meat or 4710 cal each of those days from meat. </strong></td>
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<td align="left" valign="top"><strong>The figures in the above panel give you some idea of why meat is so highly regarded. Remember they are not figures that could be used to rank meat in an optimal diet because they include no post encounter processing costs. But we might think of the costs in another way. The days with meat in camp are days that men do not go hunting nor women go out to gather. For those days no one pays the energetic costs of traveling to foraging patches, collecting and carrying in the hot sun. Tanaka reports a weight of 200 kg for the greater kudu, pictured here. In the last estimate of meat shared around the camp I neglected the portion eaten by the hunters in the bush. The amount of meat eaten by camp consumers should be reduced by the weight of internal organs and ribs the hunters sometimes eat before they transport the game (see Tanaka in the 3 pages on hunting). Hawkes et al. (1991) report slightly higher yield of edible fraction from live weight for Ache prey, 69 to 88% edible. An experiment at the University of Nevada Reno reported &#8220;dressing yield&#8221; of over 60% for grass fed beef. Keep in mind that hunters eating wild game would eat more parts of the animal than reported as yield by contemporary americans. </strong></td>
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<p><strong>The !Kung Bushmen who live in the Dobe area of the Kalahari were studied by Richard Lee from October 1963 to January 1965. Dobe is in the northwest corner of the Kalahari where there are some permanent waterholes. During the dry season, May to October, groups cluster around the permanent water holes, moving out each morning to collect resources within about a 6 km radius of the camp. In the summer rain season between December and April they scatter across the landscape visiting the pools of water that collect from December through April. The population is more widely dispersed at this time of year. In the season of the rains the women gather fruits, berries, melons, and leafy greens. In the dry season they gather roots, bulbs and resins. Remember from Lecture 2, that chimpanzees add resins to their diets in the dry season. Mongongo nuts are gathered year around as the nuts that fall to the ground in one season are preserved by the very hard shell surrounding the kernel. Richard Lee (1968 p 33) makes the point that &#8220;food is a constant but distance required to reach food is a variable, it is short in the summer, fall and early winter and reaches its maximum in the spring&#8221; that is before the rains begin. </strong></p>
<p><strong>Recall the debate from the Sih-Milton/Hawkes-O&#8217;Connell exchange, assigned in lecture 8, over the high processing cost of mongongo nuts. That cost, when only time is considered, needs to be reviewed in the context of other resources that might be gathered in each season and against the background of high variability in game capture. It is almost certain than no dry season resources provide a higher return, otherwise the women would not pay the opportunity cost of processing mongongo. Lee reports the nuts account for 50% of the vegetable diet by weight with the average daily consumption of 300 nuts yielding about 1260 calories and 56 grams of protein. Lee (1968 p 33) estimates that 7.5 ounces of nuts &#8220;contains the caloric equivalent of 2.5 pounds of cooked rice and the protein equivalent of 14 ounces of lean beef.&#8221; </strong></p>
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<p align="left"><strong>At the end of the dry season when resources around the water holes have been exhausted the !Kung women have to walk as much as 10 to 15 miles to the nut groves carrying babies as well as the nuts they gather. On these journeys the women have to make a second energetic choice, do they carry toddlers or suffer the time and energy constraint of going at the slow pace dictated by the capabilities of the youngsters. Older children are left in the camp with other caretakers but nursing babies are never left at home. In groups subsisting entirely on wild foods, interbirth intervals (IBIs) are nearly 4 years and babies are at least 3 years old before weaning. Even though !Kung babies are smaller than bottle fed American babies these women are carrying more than 30 lbs of baby and nuts. </strong></p>
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<td align="left" valign="middle"><strong>Child care constraints always have to be factored into foraging decisions made by !Kung women. How far to travel, what to pursue, how much to carry, how long to gather are all decisions a women faces in the tradeoff between when to have another baby and how to feed the ones she already has. In the photo on the right a women is digging tubers. Blurton Jones and Sibly considered these factors in the backload model to predict the birth spacing that would optimize a !Kung women&#8217;s reproductive success. Considering the rigors of walking long distances in the hot sun and the number of nuts needed to feed a family, they predicted interbirth intervals of approximately 4 years, a prediction that matched the actual IBIs fairly closely.</strong></td>
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<p><strong>The figures in this table, copied from Richard Lee (1968) What Hunters Do for a Living, or, How to Make Out on Scarce Resources In Man the Hunter eds. R. B. Lee and I De Vore. pp 30-48. Chicago: Aldine, show that mongongo nuts are an important source of both protein and calories in the diet of the Dobe !Kung. Even though vegetable foods comprise from 60-80 per cent of the total diet by weight, meat is still highly valued and widely sought. During the period charted in Table 5 !Kung hunters brought 410 lbs of meat into camp. Lee assumed that meat was shared equally by all consumers in camp, during that month between 23 and 40 individuals, distributing 410 lbs over an average of 31.8 persons per day over the 28 days between July 6 and August 2 gives an average of just over 7 ounces per person per day. In Table 5 Lee reports the weight in grams (230) which is just over 8 ounces. Beware of these average reports. Looking at the large animal prey pictured above this might be one medium sized animal. Just after the animal is brought in people eat much more meat per day than 8 ounces and when the carcass is fully consumed they go without meat for many days. However, since the !Kung hunt small game as well, the total figure may represent many small animals. San Bushmen may hunt singly or go out in groups but once an animal has been spotted and hit the hunters return to camp to rest. Since the poison used on the arrows is slow acting, the wounded animal will wonder over the landscape for some time before it dies. The !Kung men know they will have a long tracking job, the next day, before they find the dying animal. </strong></p>
<p><strong>I have copied a few pages from Tanaka describing the hunt. The copy I have posted for you is missing the figures of hunting equipment but the description gives you a good sense of the difficulty of procuring a gemsbok that has only been hit in the leg. Since the amount of poison on an arrow is small and the poison is slow acting the wounded animal may wonder a long distance before it dies. Notice that the !Kung men of the central Kalahari also scavenge prey from other carnivores and take many small species. According the Tanaka&#8217;s description, the internal organs and the ribs are cooked and eaten at the spot of the kill and the bones are smashed to get at the marrow. The uneaten portions are cut up for transport back to camp. The San consume the entire animals except for hooves, horns, bones and stomach contents. </strong></p>
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<p class="style20" align="center">Hadza Hunter-Gatherers of Lake Eyasi Basin</p>
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<p><strong><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lect10_SemiArid_Africa%20folder/Lect10_SemiArid_Africa/HadzaGiraffe.jpg" align="right" height="215" width="324" />Unlike the !Kung, the Hadza focus exclusively on large game animals. Over 256 days of observation in the years from 1985 through 1989, the Hadza killed or scavenged 72 large animals for an average of one animal every 3.6 days. But considering there were 6 hunters in camp during the wet season and 10 in the dry season, individual hunter success rates were not high. The average of 1 large animal every 4 days seems to guarantee that Hadza individuals eat meat every day but averages obscure the high variance in acquisition. The researchers calculate the chance of failure for any one hunter on any given day as 97%. They compare this to a success rate for the Dobe !Kung of one animal every four man-days and for the Ache, 2-3 successful days out of every 4. In the case of both the !Kung and Ache the success rate reported here includes all the small game added to the diet. Each Hadza hunter maximizes his mean rate of return by focusing on large game but at the cost of high variance, the probability of failure on any day. Remember from earlier discussions that one of the problems with the simple OFT models is they ignore variance in acquisition. The only measure in the OFT models is the rate of return, in calories per hour, for that resource after the time cost of handling and processing is debited. Remember also that the high variance in individual hunter acquisition doesn&#8217;t necessarily translate into high variance in individual consumption because a large animal taken by any hunter is shared over all the individuals in the camp as well as others who come from longer distances when the &#8220;bush radio&#8221; indicates there is meat in the camp. The chance of consuming meat, in a camp with 6 hunters, is about once a week. For a large animal, such as a zebra, the meat might last 3 days increasing the probability of eating meat. In the picture below a Hadza hunter carries a portion of meat that was butchered at the kill or scavenging site. </strong></p>
<p><strong> <img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lect10_SemiArid_Africa%20folder/Lect10_SemiArid_Africa/HadzaMeat_Sm.png" align="right" height="389" width="259" />I have assigned, O&#8217;Connell, Hawkes and Blurton Jones (1988) for an argument using the ethnographic example of Hadza scavenging to assess the probability that ancestral <em>Homo</em> might have regularly eaten meat even though the weapons they had were much less effective than the weapons of the modern Hazda. In the final exam you should be able to integrate the ideas and information from O&#8217;Connell et al. (1999), Lecture 5, with the information in this lecture&#8217;s reading assignment. In the 1988 paper the researchers report a subset of the observations I have summarized above. In the period from 1985 through 1986 the Hadza took 54 medium/large animals of which 14% by carcass weight were acquired by scavenging. Table 2 shows the high variability of success in both hunting and scavenging. The Late dry season, Sept.- Oct. 1985 was the most successful of the four seasons tallied. During that period Hadza hunters brought 28 carcases into camp compared to 13 in the late dry, Aug.-Oct. 1986. Pay attention to &#8220;day-to-day availability&#8221; reported in column one, mid-page 359. Note the variation from one season to the next. Average income from scavenging was very high in in the early dry season 1986, 245 g per camp resident per day, but all the gain came from one animal, consumed in 3-4 days, leaving consumers many days without meat in spite of high average income from scavenging. </strong></p>
<p><strong>Can you reconcile the information in Table 2 with the graph in Figure 1? The Table shows that the Hadza are most successful at scavenging large game in the late dry season but the Figure shows that large herbivore biomass increases with annual rainfall. Two points should be taken from this observation 1) large game animals may have been relatively more abundant at the Plio/Pleistocene boundary when the genus <em>Homo</em> diverged from the australopithecines so more scavenging opportunities and more opportunities to eat meat, but 2) game animals, predators and humans are more dispersed over the landscape in the wet season and more concentrated around the water holes in the dry season. By now you should expect human diets to vary with the seasons. Recall Stewart&#8217;s hypothesis, from Lecture 5, for seasonal dependence on fish easily taken from drying ponds. No matter if fish or mammalian flesh provide the meat component of the diet when no meat comes into camp people still need to eat. </strong></p>
<p><strong><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lect10_SemiArid_Africa%20folder/Lect10_SemiArid_Africa/hadza_GM_DigSm.png" align="left" height="303" width="330" />As reviewed in O&#8217;Connell et al. (1999) berries and tubers provide the dependable daily nutritional requirements of the Hadza. Hadza children are effective foragers on berries, baobab fruit and some shallow rooted tubers but they do not have the strength to gather the deeply rooted tubers that provide the highest returns for adult women. This photo of a senior Hadza women illustrates the strength needed to gain access to these resources. Hadza women, with unweaned babies and children over the age of 6, leave camp in early morning to gather. They are usually accompanied by armed teenage boys and perhaps an adult male as protection against pastoralists who range through the same area. Men and boys who accompany women on these trips sometimes take honey from wild bees. Honey is a valued resource with high caloric return. Hadza men can achieve a mean daily return rate of .78 kg per man-day by spending an average of 41 mins a day in honey collecting. </strong></p>
<p><strong>The women walk from 4 to 60 mins. to the tuber patch where they spend the day collecting. Within the patch they stop about mid-day to build a fire and cook some of the tubers they have collected. In the afternoon they continue collecting, stopping again to cook and eat before they gather up the tubers they are taking back to camp for the evening meal. About 39% of the tubers gathered are eaten in the field. During the wet season women add berries to their foraging schedule, spending about half their foraging time in berry patches. Women gain very high returns, measured in grams per hour in the berry patches but they spend about 34% of the foraging time traveling to the patches and 23% walking within the patch between bushes. I estimated the daily gain for berries based on 6 hours of foraging in the wet season at 26% of 6 hours times a gain of 4017 cal/hr to be 6268 cal. for a days work picking berries. In the dry season women spend 4 hours foraging for tubers. On those trips 38% of the time is spend digging for an average of 1.52 hours digging tubers that provide a return of 2000 kcal/hr or 3040 kcal/day. The foraging hours reported here are for child-bearing women. In general senior, post-cycling women forage 22-52 % longer than women of child-bearing age. When you consider the &#8220;take home calories&#8221; remember that the women and children over 6 that accompany them have been eating in the field so their need for daily subsistence from the take home &#8220;bag&#8221; is less than that for individuals who were not in the patch. You can see from these estimates that changes in the distance to tuber or berry patches could have considerable effects on the returns that women are able to gain from their daily foraging round. In general the travel distance to berry patches is higher than the distance to tubers because tubers are more densely distributed in the environment. These estimates are reported by Hawkes, O&#8217;Connell and Blurton Jones (1989) for observations October to November 1985 and March to April 1986 ( you can find the reference in O&#8217;Connell et al. 1999). </strong></p>
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<p><strong>How many calories do foragers need? How many hours should they work for a net energetic gain? Was Marshall Sahlins right, needing little they meet their needs in a few hours of work and have many hours of leisure? If we remove our western lens and think about foraging through the lens of OFT we get a new perspective. The theory predicts that foragers should target resources that provide a net energetic return after the costs of pursuit and handling are considered. We have already learned that search time is not debited from the gross return, however all researchers know that walking time is energetically expensive. As a consequence of occupying a niche different from that of our nearest relatives we range more widely in the food quest but because we are bipeds we may be more efficient over large ranges. Leonard and Robertson (1997) modeled the energetic cost of walking for a generalized quaduped compared to a biped and found that male and female bipeds are more efficient over all speeds from 2.4 to 6.0 km/hr. They estimate that the evolution of obligate bipedality produced an energetic savings of 40 to 47% for male and female hominids compared to large bodied primates. Since modern hunter-gathers have an average range of 13.10 km/d compared to 1.77 km/d for large bodied apes an increase in locomotor efficiency is particularly important to occupation of the human foraging niche. </strong></p>
<p><strong>However the cost of search is related not only to distance traveled but to other variables such as temperature, humidity, topography, and load carried. Nursing infants are a particularly important component of the female forager&#8217;s load which also includes food transported back to camp where other dependent children are waiting to be fed. Unlike chimpanzees, human males carry tools, tool stone and large portions of meat. Could it be that foragers allocate their efforts to maximize calorie gain while minimizing energetic expenditure. Are foraging strategies a tradeoff between energetic returns from the resources in their environment and the energetic cost of searching for, handling and processing those resources? Are there seasons of the year and periods of the day when it pays a forager to conserve energy by not foraging? In the extreme temperatures of the Kalahari resting in the shade during the hottest part of the day may be a very efficient strategy. </strong></p>
<p><strong>Lee reports that Dobe !Kung women work an average of 2-3 days per week but Hawkes and O&#8217;Connell (1985) point out that Lee ignores the cost of processing mongongo nuts, 5 hours of cracking and pounding to produce 1 kg of nutmeat. Lee reports per capita consumption of 210 grams of mongongo nuts so a women could produce enough nuts for approximately 4 days of consumption <em>if she only cracked for herself. </em>However she cracks for her family dependents as well. If we compare the work effort of the foragers we have studied so far we find differences in their foraging patterns and the number of hours worked. Tanaka (Table 16) reports large variation in male work effort, hours out of camp searching for food, among the !Kung he studied, 9.35 to 4.15 hours but less variation in women&#8217;s effort; 4.25 to 1.50. The Ache move camp almost daily, walking during the day, processing food, cooking, visiting and resting during the evening and night. The !Kung gather resources during the morning hours, unless they are tracking game, and process food, rest in the shade, and visit during the mid-day and evening hours. The Hadza also begin gathering early, stopping at mid-day and sometimes gathering late in the afternoon but often spending no more than 6 hours in the field. Hadza men are more similar to Ache men in the habit of going out to hunt every day. Variation in work effort and foraging returns across habitats would make a good term paper topic. </strong></p>
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<td align="left" valign="top"><strong>Tanaka, J. 1980. Chapter 2 Subsistence Ecology In The San Hunter-Gathers of the Kalahari: A Study in Ecological Anthropology. pp 53-91. Tokyo: University of Tokyo Press. Go to Marriott Library Course Reserves to download the electronic file. </strong></p>
<p><strong>Tanaka, J. 1980. Hunting 3 pages from Chapter 1 subsection hunting. In Subsistence Ecology In The San Hunter-Gathers of the Kalahari: A Study in Ecological Anthropology. pp 30-35. Tokyo: University of Tokyo Press. Available from the Readings section webCt.</strong></p>
<p><strong>O&#8217;Connell, J. F., Hawkes, K. and Blurton Jones N. G</strong>. <strong>1988. Hadza scavenging: implications for Plio/Pleistocene hominid subsistence. Current Anthropology 29(2): 356-363. </strong></p>
<p><strong>O&#8217;Connell, J. F., Hawkes, K. and Blurton Jones N. G., 1999. Grandmothering and the evolution of <em>Homo erectus. </em>J. Hum. Evol. 36:461-485.</strong> <strong>Posted under readings Lecture 5 Review p 465 from the Grandmother Hypothesis to p 468 Applying the argument to <em>Homo erectus </em>and p 470 beginning with Climate change and &#8220;children&#8217;s&#8221; resources to p 475 An evolutionary scenario grounded in the Plio-Pleistocene.</strong></td>
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<h2 class="form">File: Lecture 11 Meriam Aquatic Foragers</h2>
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<p class="style18">Anthro 4962 The Evolution of the Human Diet</p>
<p class="style19">Lecture 11</p>
<p class="style19">Meriam Aquatic Foragers</p>
<p class="style24">University of Utah Fall 2005 Helen Alvarez</p>
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<p class="style12" align="center">&nbsp;</p>
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<p align="center"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/MerLg.png" align="middle" height="276" width="425" /></p>
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<p align="center"><strong><span class="style20">Mer Island </span></strong></p>
<p class="style20" align="center"><strong>Home of the Meriam</strong></p>
<p align="center"><strong>photo </strong><a name="OLE_LINK8" class="style21"></a>© Great Barrier Reef Marine Park Authority 1996.</p>
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<p class="style12"><strong><span class="style22"> Mer island is located in the Torres Strait on the northern end of the Great Barrier Reef 142 km southeast of Papua New Guinea. With this lecture we revisit the sub-humid tropics for a study of foraging strategies of a population surrounded by the sea. The island is fringed by reef, the light blue-green color center left and zigzagging toward the center of the photo to the right of the island. The foragers of Mer practice a subsistence strategy that includes marine foraging, growing of yams, manioc, and bananas as well as keeping of pigs and chickens and subsidies from the Australian government. The gardens and domesticated animals provide a small fraction of the diet as most carbohydrates are now purchased from a small store on the island and most of the meat in the diet comes from marine resources. Three distinct strategies are found in the marine niche; hand-line fishing and netting on the nearshore at high tide, shell fish collecting and spear fishing on the reef flat at low tide, and deep and shallow water fishing, lobster collecting and turtle hunting offshore, and hunting and collecting turtles in the nesting season. </span></strong></p>
<p align="left"><strong>This lecture has two purposes; 1) to introduce sub-tropical marine collecting strategies, and 2) to consider an important body of ideas advanced to explain widely noted falsifications of the predictions of optimal foraging strategies. Those falsifications were first noted in the finding that Ache men rarely collect palm starch in spite of the high caloric returns provided by that resource (Hill et al. 1987). The evidence that men pursue resources characterized by high variance and wide sharing, once captured, was included in the discussion by Elston and Zenah (2002), developed by O&#8217;Connell et al. (1999) in the review of the grandmother hypothesis as an explanation for the evolution of the genus <em>Homo, </em> and evidenced in the hunting strategies of the Kalahari San Bushmen and the Hadza big game hunters. You were prepared for these ideas by the four hypotheses advanced by Mitani and Watts (2001) to explain hunting by chimpanzee males. By now you should suspect that male foraging is about more than satisfying personal nutritional needs. </strong></p>
<p align="left"><strong>Everywhere humans forage, men and women target different resources. The resources taken by women are characterized by low day to day variance in acquisition rate, by small package size and by limited distribution within the family. By contrast men target resources characterized by high variance in acquisition, large package size, and distribution to all in the vicinity of the catch. The fact that men do not discriminate between their wives and offspring and the families of other men provides strong evidence that male strategies are not about parental investment or offspring provisioning. The argument that male hunting can best be explained as sexual selection for male-male competition is set out in the assigned papers for this lecture.</strong></p>
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<p class="style23" align="center">Reef Flat Foraging</p>
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<p align="left"><strong><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/SpearFish_GBR.png" align="right" height="218" width="240" />Both men and women forage in the shallow water of the reef flat in the 2 to 4 hour low tide periods from March to end of September. Men walk to the reef edge and fish with spears catching a variety of small and large fish. The largest fish they take is giant trevally, pictured on the left, which can grow to <img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/GTrevally.png" align="left" height="179" width="240" />1.7 m, but they also take a variety of very small fish such as spine foot, sweet lip, and mullet about 38 cm, 45 cm and 78 cm, respectively. The catch for the day is displayed openly as the men leave the reef at the end of the fishing bout. If you can imagine these small fish, pictured in order below, flashing through the coral and the distorted optical perspective from the surface of the water to the shallow depths where fish school and hide, flash and dart you can get a sense of the skill needed to take these fish with wooden spears. In the methods section of the assigned reading, Bliege Bird, Smith and Bird (2001), the authors note that the spearfishing forager ignores other prey types as he travels across the reef. During the low tide men spend 63% of their time spearing and 31% of their time shell fish collecting. This time allocation bears no relationship to the potential returns from the prey, 292 plus or minus 135 kcal/h for spearing and 1492 plus or minus 173 kcal for shell fish collecting.</strong></p>
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<td width="213"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/SpinefootSM.png" height="147" width="210" /></td>
<td width="215"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/stripedmullet.png" height="146" width="240" /></td>
<td width="267"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/sweetlips_240.png" height="179" width="240" /></td>
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<p align="center"><strong>Spinefoot to 38 cm </strong></p>
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<p align="center"><strong>Sea Mullet to 78 cm </strong></p>
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<p align="center"><strong>Sweet lips to 45 cm </strong></p>
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<p align="left"><strong>Notice that women allocate very little time to spearing, 9% of their time on the reef compared to 76% of the time shell fish collecting. Because of the high cost of transporting the shells of the very large clams they collect, women process as they collect. Women collect only three species, <em>Hippopus hippopus, Tridacna </em>spp. and <em>Lambis lambis</em>, the spider conch which is very much smaller than the conchs found in tropical Atlantic waters. The largest tridacna clams can reach 140 cm, over 4 feet on the longest dimension. </strong></p>
<p align="left"><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/H.hippopusSM.png" align="left" height="203" width="240" /></p>
<p align="left"><strong> Women forage on the dry reef carrying a bucket, knife, hammer and a small spear. As they collect they cut out the meat from the shell and drop it in the bucket using the hammer to crack conch shells and the spear for balance, although they do stop to spear small fish or octopus trapped in the tide pools. When the man and woman return home from the reef he shares his fish with the neighbors and she cooks her share of the fish and the resources she has collected from the reef for the family dinner. Over a sample of 44 women, female forages brought in 1962 grams/per bout, on average, while spearfishermen (n = 36) brought in 356 grams. Study Table 1 (Bliege Bird, Smith and Bird 2001) where they report returns from the ebb tide reef flats according to activity. Reef collecting of large clams gives the highest return in calories, proteins and fat. Even though men and women spend the same time on the reef, their energetic gains are quite different. Figure 1, in this same reading, illustrates the gains achieved by forages targeting shellfish compared to gains from spearfishing. Pay attention to the kcal scale on each panel. Although the curves seem comparable the gains for spearfishing vary from 0 to 1700 kcal while those from shellfish collecting vary from 0 to 5500 kcal for just over 140 mins of foraging time. Notice also the high variance in returns on panel A. The extreme outlier of just under 1800 kcal in 25 minutes of time is not representative of the average gain reflected in the regression through the mean. The returns plotted in panel B cluster more tightly around the mean. This evidence lends support to the hypothesis that spearfishing is a costly signal of male talent. Keep this example in mind when we get to the lecture on children&#8217;s foraging and the argument that male foraging strategies explain the evolution of long juvenile periods in ancestral <em>H. sapiens.</em></strong></p>
<p align="left"><strong>If foragers process as they go, they leave no record of past meals. Think about how we derive information on ancient diets. The archaeological record consists of remains left at central processing spots or middens, kill sites, camp sites, and dumping sites. The record is over-weighted with resources with durable discard. When foragers process as they forage, inedible portions are scattered across the landscape. Absence from the archaeological record never implies absence from the diet of ancestral humans. You can begin to appreciate the importance of ethnographic evidence drawn from foragers who still collect wild foods. The power of the simple OFT models helped ethnographers understand the evidence they collected. Even where modern foragers practice a mixed subsistence, including cash purchases of food, a great deal has been learned about the energetic costs of wild foods from the use of OFT models to understand foraging strategies for wild resources. </strong></p>
<p align="left"><strong>On their small, 2.8 by 1.7 km, bounded world the Meriam practice a seasonal round. As noted above, March to early <img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/Turtle_nestdigging.png" align="right" height="221" width="240" />October the Meriam forage on reef flats at ebb-tide. In October through April they switch to collecting nesting turtles and eggs. Everyone participates in turtle collection during this season as the turtles come onto the sandy beaches to dig nests and lay their eggs. The foragers go out at night or early morning and wait on the beach for turtle to come ashore. When a turtle is spotted, it is flipped over, the flippers tied back and the turtle hauled home by boat. Nesting season collections are undertaken</strong><strong> mostly for household provisioning but raw meat from the butchered turtle is always shared out with neighbors. In some cases nesting turtles will be taken for pre-arranged feasts. </strong></p>
<p align="left"><strong>Throughout the year men take turtles in the open water. There is a rich description of this type of hunting in the required reading for this lecture. You might be surprised that a reputation for a good hunter falls on the leader of the boat who directs the driver, makes decisions about pursuit and directs the chase rather than on the jumper who actually goes into the water and wrestles the turtle. Turtle hunting is open to all men between the ages of 16-47 but participation varies. &#8220;Thus 44.5% of the 90 Meriam males ages 16-47 hunted at least once in the study period, but the 3 most active participants (3.3% of males) were over 5 times more likely to engage in a turtle hunt than the average Meriam male in this age range (Bliege Bird et al. 2001 p 14).&#8221; These same 3 men were named as the best turtle hunters in a series of interviews with other island residents. Hunting in open water is more costly than hunting on the beaches. Leaders of open water hunts are older and more experienced while young men who are jumpers in open water hunts are active participants in nesting season captures perhaps as a way of working toward hunt leadership. </strong></p>
<p align="left">&nbsp;</p>
<p align="left"><strong><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/Torres_turtle.png" align="left" height="157" width="240" />Hunting Returns from turtle collecting and hunting are reported in Table 2. The after-sharing returns during the nesting season are comparable to the returns from reef shellfish collecting. Notice the large variation between return rates from collecting in the nesting season and hunting in the hunting season, 21,875 kcal/h vs. 4922 kcal/hr. The very large difference is caused by the inclusion of search time and energy expended in travel. The energetic costs of travel in the hunt are calculated from the conversion of the cost of fuel for the boats into calories of meat that could have been purchased at the store. When per capita returns are reported after-sharing, open water hunting results in a net loss to the hunters because of the time and fuel costs of the activity. Notice that hunting in the hunting season is more costly than hunting in the nesting season. &#8220;In this season, hunting is much easier and hunters take on fewer costs: turtles are found on nearby reefs waiting to crawl onto the beaches to lay eggs at night, the tradewinds have largely ceased, and in between monsoon storms, the water is clear, calm and visibility is excellent, allowing hunters to dog turtles more closely, to lose fewer and to more finely discern size and sex (Bliege Bird et al. 2001 p 14).&#8221;</strong></p>
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<p align="left"><strong><img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lec11_Torres%20folder/Lec11_Torres/Mer_mackeral.png" align="right" height="303" width="200" />Men often hunt on open water for other resources such as tuna, mackerel and large marine sea mammals. This picture of men displaying their spanish mackerel catch comes from Rebecca Bliege Bird&#8217;s home page at Stanford. This looks like an impressive catch but you can see, in Fig. 7 below, how large fish rank in return compared to other resources. The returns graphed in Fig. 7 represent after-sharing returns. The bar represents mean returns with the long line to the right of the bar representing one standard deviation. The longer the line the higher the variance in return. In the case of large pelagic fish, the standard deviation indicates that men may achieve a positive or negative 5500 Net E/hr return per hour. Remember a negative return results from an unsuccessful hunt as the cost of fuel, calculated in purchasing power of store-bought meat, is debited from the return to quantify the costs of search. Only returns from netting sardine, 11,008 kcal/h before sharing, are reported in the assigned reading (p 14) but the figure from Bliege Bird and Bird (1997) illustrates returns from the most important resources. Both men and women use casting nets to intercept schools of sardine along the perimeter of the island and hand-line fishing using hook, line and bait to catch reef carnivores, herbivores and surf fish from the tidal margin. On this chart the returns from sardine netting are lower than those reported above but I assume acquisition costs are not debited from the figure of 11,008 kcal/hr.</strong></p>
<p align="left"><strong>In all discussion of optimal foraging across environments and in the same environment across methods we need to exercise care to make certain we are comparing net returns calculated in the same way. If search costs are debited, as they are in Fig. 7, the returns will be much lower than returns reported as post encounter return rates, the method of calculating returns using the classical optimal foraging models. </strong></p>
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<p align="center"><strong><span class="style20">Costly Signaling </span></strong></p>
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<p><strong>One of the features that distinguishes humans from other primates may well be male-male competition in the arena of provisioning others. Proponents of costly signaling hypotheses to explain the evolution of men&#8217;s work propose that human males signal their quality as mates and allies and their danger as competitors by providing high variance, high return resources that involve skill in acquisition and some personal risk. The caloric returns from the two types of signaling explored in this population are vastly different. The return from spearfishing is insignificant over the total collected resources but turtle hunting in the open water provides a very high caloric return shared over many individuals in very public feasts. In the first case, the spearfishermen signal the personal physical qualities that make them successful hunters of small mobile prey; hand-eye coordination, patience, and endurance. Their successes on the reef provide few caloric benefits to observers, but provide useful information to potential competitors and allies. Those who attend to the signal receive honest information about the quality of the man because the task is too difficult to be accomplished by those of lesser talent. In the second case, turtle hunting in the open water, observers gain not only information but valuable calories and opportunities for communal feasting. Pay attention to the predictions Bliege Bird et al. (2001) derive from the costly signaling hypotheses and how they are tested. I have also assigned Hawkes and Bliege Bird because they review Zahavi&#8217;s handicap principle, link it to the analysis of chimpanzee hunting by Mitani and Watts (Lecture 2) and to Veblen&#8217;s classic analysis of conspicuous consumption. Finally, Hawkes and Bliege Bird (2002) argue that reciprocal altruism fails as an explanation of most human sharing patterns because pair-wise exchanges for large meat packages have not been demonstrated. These are important arguments and you should be clear about them before the second exam. If you are not familiar with modern arguments linking conspicuous consumption and sexual selection in humans, have a look at Geoffrey Miller&#8217;s prize winning essay <a href="http://www.unm.edu/%7Epsych/faculty/waste.htm" target="_blank">Waste is Good</a>. This essay should be especially interesting to those of you majoring in psychology or marketing.</strong></p>
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<p align="center"><strong><span class="style20">Assigned Reading </span></strong></p>
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<td><strong>Bliege Bird, R., Smith, E. A., and Bird, D. W. 2001. The hunting handicap: costly signaling in human foraging strategies. Behav Ecol Sociobiol 50:9-19.</strong></p>
<p><strong>Hawkes, K. and Bliege Bird, R. 2002 Showing off, handicap signaling, and the evolution of men&#8217;s work. Evol Anthro 11: 58-67. </strong></td>
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<p align="center"><strong><span class="style20">Also Recommended </span></strong></p>
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<td><strong>Bird, R. 1999. Cooperation and conflict: The behavioral ecology of the sexual division of labor. Evol Anthro 8(2): 65-75.</strong></p>
<p><strong>Smith, E. A., Bliege Bird, R. and Bird, D. W. 2003. The benefits of costly signaling: Meriam turtle hunters. Behav Ecol 14(1):116-126. </strong></td>
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<h2 class="form">File: Lecture 12 Juvenile Foraging</h2>
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<p class="style18">ANTH 4962 The Evolution of the Human Diet</p>
<p class="style19">Lecture 12</p>
<p class="style19">Juvenile Foraging</p>
<p class="style23">University of Utah Fall 2005 Helen Alvarez</p>
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<p class="style12" align="center">&nbsp;</p>
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<p class="style20" align="center">Overlapping Generations</p>
<p class="style21" align="center">photo by Marjorie Shostak @    <a href="http://www.anthrophoto.com/" class="linkification-ext" title="http://www.anthrophoto.com/">http://www.anthrophoto.com/</a></p>
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<p align="left"><strong>Unlike other primate females, human mothers have overlapping dependents, a new child is born before the previous child becomes independent. A number of hypotheses have been developed to explain who feeds a women and her child when her foraging returns are constrained by child care. As illustrated in this photo and those in previous lectures, women take their nursing infants with them but here you see a !Kung women from the Dobe area carrying two of her dependents plus the food she has just gathered. </strong></p>
<p align="left"><strong>In the early versions of the man the hunter hypotheses, investigators imagined that women with dependent children remained in a central place caring for children while men provisioned the family with large game. A more recent hypothesis links the evolution of long juvenile dependencies to food sharing between older female kin and young dependents (see O&#8217;Connell et al 1999). In environments of low extrinsic mortality young animals can risk devoting more time to personal growth, growing longer and larger before maturing. In the mosaic habitats of the Plio-Pleistocene boundary mothers and children were able to move into new habitats because long-lived grandmothers helped provision weaned infants. In turn the benefits of provisioning increased longevity genes in these populations, further reducing average adult mortalities and promoting later age of maturity. It is late age of maturity that provides long juvenile periods. The consequence of selection for longevity may well be long learning periods but as always we should be careful to separate cause and consequence in evolutionary puzzles. The authors assigned in this lecture review these arguments over and over. Be sure you understand the different hypotheses because they are all related to the occupation of new habitats, the provisioning of juveniles, the evolution of the human diet, and the evolution of longevity in our lineage. </strong></p>
<p align="left"><strong>By now you have ample evidence, from ethnographic studies, demonstrating that the man the hunter scenario under-estimates the work of women who forage for themselves and their children even when diets are supplemented by widely shared resources provided by hunting men. The second proposition of the hunting scenario, that human children are dependent until they become adults is true for the !Kung and some South American subsistence horticulturists but quantitative studies of other foragers demonstrate that young children and juveniles provide some of their own resources. Differences across habitats and subsistence strategies are indicators that juvenile strategies might be structured by ecology and physical development and not by learned capabilities. The differences, across habitats, bear upon the modern version of the man the hunter proposal, the embodied capital hypothesis, which proposes that the long juvenile period in humans evolved in response to the value of a long period of learning for mastering adult foraging skills. Once individuals, males in this particular hypothesis, master hunting skills they are able to provision mates and juvenile dependents. The evidence that children can be effective foragers at a young age challenges this proposition. The various explanations for the evolution of our unique life histories are well rehearsed in the assigned readings for this lecture.</strong></p>
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<p class="style20" align="center">Hadza Children&#8217;s Foraging</p>
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<p align="left"><strong>Hadza children as young as 5 years old forage near camp for resources to supplement their diets. In certain seasons, children are left at home when mothers, carrying only nursing infants, go to dig tubers. Detailed observations reported in Blurton Jones, Hawkes and O&#8217;Connell (1989) showed that infants older than 2 1/2 years rarely accompany mothers to tuber foraging patches. Children left in camp forage on tubers growing near the surface, the honey of stingless bees, and baobab fruits. The latter fruits have high processing costs as the pods need to be cracked and the pith pounded into a dry powder. This powder is moistened with water or eaten dry with water. The seeds can be cracked and the kernels eaten raw. In spite of high processing costs, children aged 5-10 years can gain 629 cal/h from baobab, while those 10-15 get about 1014 cal/h. However children do not allocate many minutes to foraging so it would be a mistake to imagine that Hadza children entirely support themselves. Honey is mostly taken by boys between the ages of 12-15 if one can get an axe to chop out the nest. Honey yields about 339 cal/h but boys who accompany women on foraging trips often acquire 650-1350 calories on these trips. Blurton Jones et al. (1989 p 380) estimate that &#8220;If children spent just 2 hours per day foraging for baobab, or (for older boys with access to an axe) honey, they would acquire around 800-1000 calories, almost half the calories they need.&#8221; </strong></p>
<p align="left"><strong>In a subsequent field season, the same research team completed time allocation studies to determine how mothers change their own foraging patterns in response to opportunities presented by resources they can gather with their children (Hawkes, O&#8217;Connell and Blurton Jones 1995). Contrary to the expectation from optimal foraging theory that mothers choose foraging patches that optimize their own return rates, they found that women, in certain seasons, choose to forage in berry patches with their children instead of traveling to patches to collect tubers. Mothers maximize team foraging rates by focusing on resources that children can gather with adults. &#8220;If higher rates of food acquisition are advantageous to women because with higher rates they can feed children more, or feed more children, then when children are active foragers themselves a woman&#8217;s children will consume food at a higher rate if she chooses the strategy that maximizes the team rate she and her children earn collectively, <em>even if the rate she earns herself is less than the maximum possible </em>(Hawkes et al.1995 p 695 emphasis original).&#8221; The team rates achieved for mothers and children depend upon the number of children and the time allocated to foraging. The more children a mother has the higher the team rate. If the team forages for longer than 556 mins, berries are the best choice. If a women wants to maximize her own return rate collecting tubers she needs to forage for an additional 2.5 hours. Over the mean length of observed trips, women and children do best focusing on berries. The foraging strategies of mothers and kids might have been influenced by the scarcity of baobab fruit during the late dry season of 1988 when the time allocation studies were completed.</strong></p>
<p align="left"><strong> In spite of children&#8217;s abilities to forage for themselves around the Hadza camp, they still depend upon mothers. The time allocation data show a significant difference between foraging time for children with co-resident mothers and those without. Notice on Table 2, copied from Hawkes et al. (1995), that an 8 year old girl with no mother or father in camp spent more time foraging than any other child. In a sample of 20 juveniles, aged 3.5 to 17 years old, 9 had no coresident mother in camp.</strong></p>
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<p align="center"><strong><span class="style22">Table 2 </span></strong></p>
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<p align="left"><strong>The caloric returns children achieve from their own foraging efforts depend upon the resources they target. The two types of tubers, <em>Makalita </em> and <em>//ekwa</em>, gathered by children yield 73 to 85 Cal/100 g and children over the ages of 7 and 8 can gather 598 and 314 g/hr, respectively, of these two resources gaining about 200 calories for 29 mins of digging <em>Makalita</em>. When children accompany mothers to the berry patch they can gain from 964 to 2,223 Cal/hr depending upon which berry, <em>Salvadora persica</em> or <em>Cordia </em>sp.  they are picking. Children gain about 50-70% of the adult rate picking <em>S. persica</em> berries, Table 6 (Hawkes et al. 1995). Since <em>Cordia </em>berries were not fully ripe until the end of the observation period, rates by age were not available for the berries yielding the higher caloric return. There are two important take home points from the Hadza field work on children&#8217;s foraging. 1) Hadza children&#8217;s foraging choices are consistent with optimal foraging theory predictions, near camp children generally choose to forage on the tubers with the highest caloric return just as they do in the berry patch. Before <em>Cordia</em> berries ripened children picked berries giving a lower return but once the Cordia ripened they ignored <em>S. persica </em> berries even though they were still available. 2) Mothers adjust their foraging strategies to include resources their children can gather. In berry picking season mothers forego tuber picking, where they earn high returns, to travel long distances to berry patches in order to maximize the team rates they can gain with their children. </strong></p>
<p align="left"><strong>The stashing rate shown in Table 6 is defined as the &#8220;total weight of fruit accumulated for transport per hour in the resource patch. They represent the minimum rate that would have been taken had foragers eaten none of the berries they picked (Hawkes et al. 1995 p 693).&#8221; Actual picking rates are a combination of eating and stashing rates. The last column is an attempt to measure the amount of time spent picking, the stashing rate and consumption rates are added and divided by the tin measured rate. The results show that women are the most steady pickers and men, boys and children the least effective. Men may have spent more time in the berry patch in this particular field season as &#8220;hunting was poor(only eight large animals taken over 43 days of direct observation)(Hawkes et al. 1995 p 689.).&#8221; Men pick at very high rates but they also consume at a high rate so their stashing rate is lower than that of women and girls.</strong></p>
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<p align="center"><strong><span class="style22">Table 6 </span></strong></p>
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<p align="left"><strong>The foraging efforts of Hadza youngsters stand in sharp contrast to those of Dobe !Kung children who do almost no foraging. Instead !Kung children contribute to their own subsistence by cracking mongongo nuts carried home from distant patches by their mothers. Hawkes, O&#8217;Connell and Blurton Jones (1995) attribute the difference to the scarcity, in the Kalahari, of near camp resources that children can gather and the high, dry season temperatures and lack of water that preclude taking children on long walks to the nut groves. Instead !Kung mothers and kids do better if toddlers and older youngsters stay in camp and crack nuts that mothers have carried home. Recall the topographic differences between Hadza country and the Kalahari with no prominent landmarks to guide children from foraging sites to home camps. Blurton Jones et al. (1989) suggested that the harsh dry season temperatures keep !Kung children from foraging with mothers and the danger of getting lost in the flat environment restrain children from foraging alone near camp.</strong></p>
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<p align="center"><strong>Juvenile Foraging Size or Experience? </strong></p>
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<p align="left"><strong>At both of their field sites, Mer Island and the Western Desert of Australia, Douglas and Rebecca Bliege Bird conducted quantitative studies of juvenile foragers to determine if optimal foraging theory could explain choices made by children. At both sites they found that children take resources that give them high rates of caloric return as predicted by theory but their foraging returns are constrained because the rate at which they encounter resources is determined by size and walking speed rather than age or experience. Their evidence indicates that physical abilities rather than learned capabilities determine juvenile foraging strategies. </strong></p>
<p align="left"><strong>On Mer Island, mixed-age groups of children, independent of adults, forage on the reef flats after school or on weekends. On these trips they collect some of the same resources collected by adults but they encounter them at a lower rate so their overall returns, in the patch, are not reduced by stopping to take smaller shellfish such as black lipped conch and small top-shell. Post encounter processing costs of the large shellfish are higher for children because they do not have the upper body strength to cut out and remove edible flesh from the largest shells. These differences, between adults and children in physical strength rather than skill, explain why children take resources ignored by adults. Further Bliege Bird and Bird, in Children on the reef (2002), suggest that children are very efficient at extracting meat from small shells because they can more easily reach in the small valve openings with their small fingers to pull out the meat. </strong></p>
<p align="left"><strong>Mer children also fish, from the beach, a foraging strategy requiring some skill. Across the Torres Strait islands, Meriam kids are known for their skill in hand-line beach fishing. Children begin as young as five years old and quickly master the technique. After an initial steep rise in efficiency there is little effect of age on efficiency. However, at every age there are large differences in individual skill and efficiency such that most of the variation in this task is explained by individual differences with one 62 year old man out-ranking all others in return rate. Figure 1 taken from Bliege Bird and Bird (2002b) illustrates the scatter and the large disparity when a very good older fisherman (the open circle top right) is included in the analysis. Residuals of overall return rates are plotted on the y axis to remove the effects of varying sample numbers across foragers. In spite of the title, return rates are calculated from both small-hook and large-hook fishing methods. Men and children of both sexes choose large-hook fishing and women choose small-hook. One difference between children and adults is that children usually have fewer choices of line size. From the figure, we might conclude that only the most skilled children choose to hand-line fish but without knowing the proportion of children who choose to fish it would be impossible to say the sample is self selected by only the best children.</strong></p>
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<p align="center"><strong><span class="style22">Figure 1 Age effects on large-hook beach fishing efficiency </span></strong></p>
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<p align="center"><strong><span class="style22">Martu Children&#8217;s Hunting </span></strong></p>
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<p align="left"><strong>Martu (sometimes Mardu) children of Northwest Australia are often left at home when mothers hunt goanna lizards in the sand hill flats but these children are active forages in patches distinct from those targeted by their mothers. Bird and Bliege Bird (2005) argue that size determines the <img src="///home/brooklyn/Desktop/Files/School/L/Blank/Fall%202006/Lectures/Lect12Kids_Foraging%20folder/Lect12Kids_Foraging/Mardu_Girls.png" align="left" height="145" width="216" />rate at which foragers encounter prey in the two patches. Adults are able to move at faster speeds across the sand flats encountering goanna at about .90 items/hour searching whereas children would encounter prey in this same patch at .68 items/hour because of their slower walking speeds. Larger children gain nearly the same caloric gain foraging on the sand plain as in rocky outcrops but smaller children do much better on the rocky outcrops, 448 kcal/hour compared to 385 kcal/hour on the sand plain. The authors suggest children forage in patches that minimize time and effort expended. &#8220;Although the gross foraging return rates are the same, foraging in sandhills as compared to rocky outcrops requires 2.3 times greater time investment and 2.2 times more walking as does rocky outcrop foraging for only 1.3 times as many calories per hour (Bird and Bliege Bird 2005 p 142).&#8221; The young girls in this picture, copyright Rebecca Bird from her home page at Stanford, are holding a small lizard they have dug from a rocky outcrop burrow. </strong></p>
<p align="left"><strong>The analyses, of Martu children&#8217;s foraging success, was designed to tease apart the factors which influence foraging choices of juveniles. The regression plots show that height has a larger effect on return rates than age (compare Figs 6.2 and 6.3). The proponents of the embodied capital hypothesis for the evolution of human life histories propose that the long human juvenile period evolved to provide a long period of subsidized dependence during which children forego supporting themselves in favor of learning the foraging skills that are later cashed out as productive adults. In this scenario juvenile dependency is subsidized by paternal support of wives and children. Bird and Bliege Bird show youngsters can be effective foragers using the same tools and techniques as their mothers but foraging in different patches. Since within patch encounter rates constrain juvenile choices, size not experience makes a difference to children&#8217;s effectiveness. These results are important because they undercut the proposition that long juvenile periods, in humans, evolved in response to the value of learning adult foraging skills. Instead they support the proposition that long juvenile periods evolved in response to the benefits of growing larger before maturing. </strong></p>
<p align="left"><strong>The question remains, why don&#8217;t children forage longer hours? The work effort of the 8 year old Hadza girl with no co-resident parents suggests children are capable of longer work hours. It is possible that children allocate energy to fogging effort while still conserving energy for growth. Humans are determinate growers which means we reach skeletal maturation and hence most of our adult height about the time of sexual maturity. Bliege Bird and Bird (2002a) suggest that foraging efficiency increases after puberty because both males and females have greater opportunity to enhance fitness gains from foraging efficiency. During the thousands of years spent subsisting on wild resources, males excelled in male-male competition through costly signaling of hunting ability and providing resources for public consumption. In this same niche, females promoted their own reproductive success by gathering low variance resources to support their dependent children and grandchildren. Foraging efficiency increases at puberty in response to natural selection on females and sexual selection on males. </strong></p>
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<p align="left"><strong>In Growing Up Mikea, Tucker and Young (2005) review the various arguments for the long juvenile period in human life histories and report detailed time allocation studies of Mikea tuber foraging. They emphasize what you have learned earlier in this lecture, the cost of children varies across habitats. In the dry woodland forest of Madagascar, where the Mikea live there are few dangers for children foraging in the woodland, no poisonous snakes or large predators and plenty of shade to moderate temperatures. Even though the Mikea practice a mixed subsistence economy that includes subsistence farming and herding, trade, and cash labor they still collect wild resources. Figure 7.2 shows that children spend much more time in leisure activities than other age classes but by adolescence young people spend as much time working as do married adults. Notice also that adult males and females allocate nearly the same proportion of daylight hours to food production. Among children, boys allocate nearly twice the time to food production as do girls but these figures change when allocation to tuber foraging is measured. Adolescent girls devote more time than any other age group to this task (Figure 7.3). Still across all foragers net acquisition rates increase with age and men achieve significantly higher rates than women but Table 7.2 shows that daily returns for men are low because they spend 1/3 the time that women spend foraging for tubers. </strong></p>
<p align="left"><strong>In the early dry season, Mikea children actively forage with adults and mothers, who suffer no decline in foraging efficiency when accompanied by children. Notice in Figure 7.8 that adult females forage in groups with children and adolescents more frequently than do adult males. In certain seasons adults and children forage in the same patch but when patches near home are depleted in the largest tubers adults range further to exploit new patches while children stay in the older patches harvesting smaller tubers that lie close to the surface. The ovy tuber, collected by the Mikea, grows in sandy soil so digging and collecting is relatively easy. The ease of digging ovy combined with its higher energy density produces a net return rate much higher than the tubers collected by the Hadza. Have a look at Table 7.2 and notice that children gain 505 to 537 kcal/hr gathering ovy but they gather only 35-41 minutes/day. The same question arises over and over for children, why don&#8217;t they devote more hours to foraging? Tucker and Young suggest that children are neither rate-maximizers or time-minimizers. Since they are provisioned by adults they are also not energy limited. Instead they forage for the physical and mental challenge and for the social opportunities afforded by mixed age play groups. However the ability of Hadza, Merriam, Martu, and Mikea children to collect resources for themselves suggests that they might be able to support themselves if adult provisioning failed. As illustrated from the detailed Hadza data, children often have no co-resident parents. In such cases orphans must rely on near-relatives, neighbors and their own ingenuity. We expect natural selection to favor strategies, in young mammals, that help them survive maternal accidents. To expect youngsters to forage on the same resources as adults is unreasonable given their size and physical strength. The studies reviewed in this lecture demonstrate that children can be capable foragers depending upon the opportunities in their environment but over all environments, given adult support, they choose to allocate more time to leisure. </strong></p>
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<td><strong>Bird, D. W. and Bliege Bird, R. 2005. Martu children&#8217;s hunting strategies in the western desert, Australia. In Hunter-Gatherer Childhoods: Evolutionary, Developmental and Cultural Perspectives. eds. Hewlett, B. S. and Lamb, M. E. pp. 129-146. New Brunswick NJ: Transaction Publishers. Course Reserves Marriott Library</strong></p>
<p><strong>Tucker, B. and Young, A. G. 2005. Growing up Mikea: Children&#8217;s time allocation and tuber foraging in southwestern Madagascar. In Hunter-Gatherer Childhoods: Evolutionary, Developmental and Cultural Perspectives. eds. Hewlett, B. S. and Lamb, M. E. pp. 147-171. New Brunswick NJ: Transaction Publishers. </strong></td>
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<p align="center"><strong><span class="style22">Also Recommended</span></strong></p>
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<td><strong>Blurton Jones, N. G., Hawkes, K, and O&#8217;Connell, J. F. 1989. Modelling and measuring costs of children in two foraging societies. In Comparative Socioecology: The Behavioural Ecology of Humans and Other Mammals. eds. Standen, V. and Foley, R. A. pp. 367-390. Oxford: Blackwell Scientific Publications. </strong></p>
<p><strong>Hawkes, K. O&#8217;Connell, J. F. and Blurton Jones, N. G. 1995. Hadza children&#8217; foraging: juvenile dependency, social arrangements, and mobility among hunter-gatherers. Curr Anthro 36(2): 688-700.</strong></p>
<p><strong> Bird D. W. and Bliege Bird, R. 2002a. Children on the reef: Slow learning or strategic foraging? Human Nature 13(2): 269-297. </strong></p>
<p><strong>Bliege Bird, R. and Bird, D. W. 2002b. Constraints of knowing or constraints of growing: Fishing and collecting by the children of Mer. Human Nature 13(2): 239-267.</strong></td>
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		<title>Lecture 8</title>
		<link>http://humandiet.wordpress.com/2006/09/24/lecture-8/</link>
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		<pubDate>Sun, 24 Sep 2006 04:10:03 +0000</pubDate>
		<dc:creator>cambriaromance</dc:creator>
				<category><![CDATA[Lectures]]></category>
		<category><![CDATA[test 2]]></category>

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		<description><![CDATA[Anthro 4962 The Evolution of the Human Diet Lecture 8 Optimal Foraging Theory University of Utah Fall 2005 Helen Alvarez Shores of Walker Lake (The North American Indian; v.15) from Northwestern University Library, Edward S. Curtis&#8217;s &#8216;The North American Indian&#8217;: the Photographic Images, 2001. Curtis described the setting of this photo: Walker lake, one of [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=humandiet.wordpress.com&amp;blog=433312&amp;post=4&amp;subd=humandiet&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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<p class="style17" align="center">Anthro 4962 The Evolution of the Human Diet</p>
<p class="style19">Lecture 8</p>
<p class="style19">Optimal Foraging Theory</p>
<p class="style25">University of Utah Fall 2005 Helen Alvarez</p>
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<p align="center"><img src="https://webct.utah.edu/webct/RelativeResourceManager/Template/Fall%202006/Lectures/Lect8_Theory%20folder/Lect8_Theory/WalkerLakeSm.png" border="0" height="320" width="236" /></p>
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<td><strong> Shores of Walker Lake (The North American Indian; v.15)  from Northwestern University Library,  <em>Edward S. Curtis&#8217;s &#8216;The North American Indian&#8217;: the Photographic Images</em>, 2001. Curtis described the setting of this photo: Walker lake, one of numerous saline lakes remaining from a great inland sea that once covered western Nevada and northeastern California, is the seat of a major division of the Paviotso. In the western corner of Nevada it is fed by Walker river, the numerous branches of which head on the eastern slope of the Sierra Nevada in California. Although there is no outlet, the water is not too saline for the thriving of trout and suckers, which were taken on bone hooks, with double-pointed spears, and in gill-nets.</strong></td>
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<p class="style20" align="left">&nbsp;</p>
<p class="style20" align="left">The lectures to date have focused on the evolution of Plio-Pleistocene diets inferred from the archaeological evidence and from paleoecology informed by modern food preferences through an implicit assumption that the environment is populated with nutritious plants and animals to be captured by individual hominids ranging over that landscape. Most of you know from other classes and from your own diets that foragers are selective in their choices. The simple coincidence of resource and forager in the same habitat tells us little about the diets of the forager. To be fair we have looked at circumstantial evidence for use of some resources such as cut marks on bones, opened and cracked shells, processed fish bodies, special tools for capturing specific animals, and isotope ratios but all of that evidence provides only a coarse grained picture of early diets. Archaeologists interested in refining their assessments of past foraging strategies have applied models from optimal foraging theory (OFT) to help them understand the past. These models were originally developed by biologists interested in explaining the specific resource choices they observed in their study populations. They were subsequently used by evolutionary anthropologists to study diet choices in modern foragers subsisting on wild resources. Most of you know that the faculty and students from the University of Utah departments of biology and anthropology were very active in developing and applying these models.</p>
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<td valign="top" width="224"><strong>The first efforts toward understanding resource capture were undertaken by a Canadian entomologist, C. S. Hollings who designed a simple experiment modeling predator and prey interactions. The prey were represented by 4 cm sandpaper discs tacked to a 9 sq. ft. table. The predator was his blindfolded research assistant who tapped her fingers over the table until she encountered a disc, which she removed and set aside before returning to the task of &#8220;capture&#8221;. The trials were iterated at various prey densities and the relationship between rate of capture and disc density was plotted giving the marginal value curve shown on the right. The rate of capture does not increase in a linear fashion with the increase in the density of the prey.</strong></td>
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<p align="right"><img src="https://webct.utah.edu/webct/RelativeResourceManager/Template/Fall%202006/Lectures/Lect8_Theory%20folder/Lect8_Theory/HollingsDiscS.png" align="top" height="324" width="372" /></p>
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<td bgcolor="#cccc99" width="641"><strong>Hollings&#8217;s results became the basis for the distinction between search and handling in the subsequent development of OFT. His simple experiments showed that search time was a function of prey density on the landscape while handling time after encounter was a function peculiar to the prey type. These distinctions became important in all subsequent OFT models.</strong></td>
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<p class="style22">Optimal foraging theory drew attention to the empirical fact that every resource has a cost of acquisition and processing. These costs make comparisons of energy yields of food meaningless unless handling costs are considered in the comparisons. Here I have posted Table 1 from Bright, Ugan and Hunsaker (2002) showing the energy yield of certain resources taken by Australian and Great Basin foragers and the Kcal/hr return for those resources after processing. I have sorted their table from highest net gain to lowest and plotted the yield with and without processing to show you how the rank of resources changes when the handling costs are debited.</p>
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<td width="394"><img src="https://webct.utah.edu/webct/RelativeResourceManager/Template/Fall%202006/Lectures/Lect8_Theory%20folder/Lect8_Theory/Table1_rankS.png" height="311" width="372" /></td>
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<td valign="top"><span class="style22">Notice on the figure, drawn from the table, that resources with high energy density (red line) are not necessarily the resources that yield the highest returns after processing (blue line). From this set, the highest ranked resources are all animals with tubers ranking just below small game. Compare the yield of rabbits (#3) and pine nuts (#11) on both curves to see how processing costs change the relative rank of resources. If meat is always the highest ranked resource, across many habitats, why should human foragers ever take any other resource? You should be able to answer this questions by the end of Section II. </span></td>
<td><img src="https://webct.utah.edu/webct/RelativeResourceManager/Template/Fall%202006/Lectures/Lect8_Theory%20folder/Lect8_Theory/Fig1_rankS.png" height="273" width="372" /></td>
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<p class="style20" align="left">&nbsp;</p>
<p><strong>How can the information from OFT be reconciled with the Grandmother Hypothesis for the evolution of human life histories from O&#8217;Connell et al. 1999 (Lecture 5)? The fundamental premise of OFT is sound as we expect natural selection to favor individuals that allocate energy to tasks that promote somatic growth, maintenance and reproduction. In any habitat those genotypes better at allocation decisions are expected to leave the most descendants, that is have the highest fitness, yet the expectations of the diet breadth models are often violated in real populations. All models assume a generic forager but the early work with the Ache demonstrated that men routinely ignore the highest ranked resource in the forest, palm starch, in favor of hunting. This falsification of the model was as important as the confirmation of most of the predictions for other resources because it raised the question of why men hunt which led through many populations and many papers to important ideas about the role of costly signaling in male-male competition and linked sexual selection theory and foraging theory. But sexual selection on males is not the only factor determining diet choice as risk and uncertainty influence forager choices.</strong></p>
<p class="style20" align="left">The idea that the value of a resource item is determined by the costs of search and handling changed the way investigators ranked prey items in the foragers environment. Many resources are energy dense but have high search and handling costs. It is not the absolute value, to a forager, of the resource but the net energy gain to the consumer after the energetic costs of pursuit and handling are debited. In most investigations of actual foragers net energy gains are calculated by debiting post encounter costs against the currency of the gain, usually calculated in caloric return per unit of time spent in pursuit, capture and handling.In the simple version of the optimal diet model resources are included in the diet based on the tradeoff between handling upon encounter and the option of continuing to search for other items. The decision is based on the mean rate of return for that particular habitat and the suite of resources within it. Be aware that post encounter returns are always much larger than returns reported with search time included unless search time is nil. The inclusion of processing costs in the equation reflects the net gain to the forager from choosing any resource and influences forager preferences for certain resources over others.</p>
<p class="style20" align="left"> Richard Lee&#8217;s failure to include processing time in the cost of mongongo nuts seriously under estimated the contribution of women&#8217;s work to family energy budgets and led to the characterization of the Dobe !Kung as the the original affluent society, meeting their subsistence needs with few hours of work. I have assigned two short readings, Sih and Milton (1985) and Hawkes and O&#8217;Connell (1985) debating the the use of OFT to study human resource choices and specifically the ranking of mongongo nuts in !Kung diets. These two papers will give you a sense of the early arguments over the application of OFT models to human foragers and the value and problem of simplifying assumptions. As you have already read in Erlandson, the failure to report search time for resources leads to the over estimation of returns from resources such as collared peccaries and makes comparisons of post encounter returns of resources, such as red deer and mussels from two very different habitats, meaningless.</p>
<p class="style20" align="left">Note in all of the lectures that follow I have tried to maintain the notation, calories, cal/hr, Cal/hr, or Kcal/hr used in the assigned papers. The <a href="http://www.hpb.gov.sg/hpb/default.asp?pg_id=1462" target="_blank">notation</a> is confusing, but the link provides a simple explanation of the differences. For our purposes we assume that investigators are referring to Kcal when they use cal, Cal or calories to indicate the energetic gains from any resource.</p>
<p class="style20" align="left">&nbsp;</p>
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<p align="center"><span class="style24">Risk, Uncertainty and the Forager&#8217;s Energy Balance </span></p>
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<p><strong>Winterhalder, Lu and Tucker (1999 p. 302-303) distinguish between risk and uncertainty by defining risk as &#8220;unpredictable variation in the outcome of a behavior, with consequences for an organism&#8217;s fitness or utility.&#8221; Further &#8220;with risk the probability distribution of outcomes is in some sense known to the organism, but stochasticity makes any particular outcome unpredictable.&#8221; &#8220;Uncertainty refers to incomplete knowledge of outcome probabilities. Uncertainty can be overcome by acquiring information about an environment; risk cannot.&#8221; They make the point that risk as used in behavioral ecology and economics does not &#8220;mean exposure to danger.&#8221; The authors point out that simple foraging models assume the forager always experiences the average conditions of its habitat where decisions have predictable outcomes. This assumption is central in all debates over the role of big game hunting in the evolution of the human diet. </strong></p>
<p><strong>When we examine Hadza foraging strategies we will consider the high variance in game capture and contrast that to figures for the average amount of meat in the diet. In contrast to deterministic models, risk sensitive models assume organisms adjust to a range of possibilities arrayed along a probabilistic distribution. In addition risk-sensitive analysis specifies the relationship between the outcome and its fitness value resulting in a sigmoid curve. To the left of the inflection point of the curve value rises with increasing resources but at an accelerating marginal rate when the resources are scarce and at a decelerating marginal rate when they are abundant. In simple language, with too little food &#8220;added increments have high value and with too much, added increments count for little (Winterhalder et al. 1999 p 304).&#8221; The work of Curaco and his colleagues, with yellow-eyed juncos, showed that the utility function for the birds takes the sigmoid form. There is no reason to suspect that hominids are any less responsive to variable outcomes. If you are interested in further exploration of these ideas the figures presented in the Winterhalder et al. (1999) paper will give you a much better sense of the issues. I have posted the paper under also recommended for those of you interested in a more detailed explanation. </strong></p>
<p><strong>Since value is measured as a rate, usually in calories gained per unit time, the sigmoid value function is time sensitive and this sensitivity varies with respect to the physiology of the organism and the character of the resource. Think back to Lecture 1 and the link to the Moran Eye center Web vision site with the graphic demonstrating the daily rebuilding of the pigment containing discs of the rods and cones. Stores of vitamin A must be sufficient to support the daily demands of this process. Winterhalder et al. (1999) make the same point about water acquisition. The preference for a reward of <em>k</em> liters/hr and equal probabilities of 0 or 2<em>k</em> liters/hr will depend upon whether the result will be suffered for hours, days or weeks before choice and outcome are reiterated. </strong></p>
<p><strong>Responses of the organism to risk are determined by design by natural selection over the long time frame and the physiological state of the organism over shorter time frames. In general females are expected to be more risk adverse than males and organisms in negative energy balance are predicted to be more risk prone. The latter prediction was confirmed in experiments with yellow-eyed juncos whose foraging choices were observed under different temperature regimes that influenced energy balance. Given two foraging options with constant or variable rewards, birds in negative energy balance favored the high variance reward, presumably in the attempt to gain a reward sufficient to change their energy balance. </strong><strong>The excitement generated by these results was tempered by a number of experiments that failed to replicate the results. Winterhalder et al. (1999 p. 323) conclude; &#8220;These studies suggest that the expected energy budget rule may apply only rarely to hominids, nonhominid primates, and modern humans which are omnivorous and relatively large species.&#8221;</strong></p>
<p><strong> They might have qualified their statement to include only adult humans as anthropologists and archaeologists, with few exceptions (cf. O&#8217;Connell et al. 1999), have ignored the consequences of short periods of negative energy balance on the growth and development of neonates, infants, and juveniles. Conversely, resistance to short-term perturbations in energy balance may be an advantage of large body size that contributed to the success and expansion of <em>H. erectus. </em>We need to be careful here not to attribute the evolution of large body size to a resistance to short term negative energy balance. Such resistance can be a consequence of large body size but the causal arrow on the evolution of large body size runs from mortality risks in the environment of the species. Following Charnov&#8217;s (1993) mammalian life history model, large body size is a consequence of more time to grow larger because lower average adult mortality, from extrinsic causes, favors delaying the change from somatic to reproductive allocation. Organisms that experience low average adult mortality rates, grow longer, mature later and have longer lifespans. These are the derived traits that distinguish us from our nearest primate relatives. These arguments were reviewed by O&#8217;Connell et al. (1999). </strong></p>
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<p align="center"><strong><span class="style21">Great Basin Archaeology and Optimal Foraging Models </span></strong></p>
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<p><strong>The last assigned reading for this lecture is a paper by Elston and Zeanah in which they use models from behavioral ecology to understand the Holocene transition evident in the archaeological record of the Great Basin. Most of you know that our department has been in the forefront of extending foraging theory to hunter-gatherers but you may not be aware of the innovative ways the models are being applied to solve longstanding problems in Great Basin archaeology. The paper by Elston and Zeanah is a good example of this work as well as providing a link, in this course, from ancestral populations known only from the archaeological record and the next set of papers from more recent foragers. The opening graphic of this lecture, from the work of Edward S. Curtis, is intended to emphasize the importance of Great Basin studies to applications of optimal foraging theory to human foragers and to highlight the importance of ethnographic analogs to this work.</strong></p>
<p class="style20" align="left">The record of human occupation in the basin can be divided into two distinct time frames labeled Prearchaic for the period from 10,500-8000 BP and Archaic for later occupation. The early Holocene (EH) climate experienced by Prearchaic populations was cooler and wetter than climates after about 7800 BP. &#8220;The relatively cool, even EH climate, abundant surface water and complex steppe vegetation created productive habitats for a rich biota of fish, waterfowl and mammals (Elston and Zeanah 2002 p. 107).&#8221; The tool assemblages from this time period have an array of projectile points and flaked tools indicating a hunting economy but the coprolites recovered from the sites indicate a diet that included many of the resources of the lakes and marshes plus seeds and small animals, quite unlike a diet predicted from the graph of energy yield posted above. Basin occupants in this time period had access to a variety of resources within short travel distances as basins with lakes and marshes were separated by ridges with brushy steppes and juniper woodland from mid-elevation to ridge tops providing high-quality habitat for larger game animals. Moreover the scatter, size and character of the archaeological sites from this time period indicate low population density and high mobility of foraging groups.</p>
<p class="style20" align="left">An attempt to use the diet breadth model to explain the evidence for the addition of seeds to the diet failed as the model developed by Simms predicted that women should have by-passed seed under all conditions, including the absence of large game, a prediction contrary to the clear evidence for seed use. A second model analyzed the distribution of soil types in the basin to develop a patch choice model. The simulations based on the distribution of lowland and upland habitats predicted that women should bypass seeds in favor of other plant resources and small game and men should have targeted only large and medium size game. This model fails to explain the evidence for small animal consumption found in the coprolites. Finally a risk sensitivity analysis returned the prediction that risk prone foragers should favor the high variance option &#8220;preferentially pursuing large game over smaller game and foraging in habitats where encounters with large game were most likely (Elston and Zeanah 2002 p. 115)&#8221; while risk sensitive foragers should prefer lower-ranked resources characterized by low variance in acquisition. From this model, Pinson (1999, cited in Elston and Zeanah 2002) hypothesized that Prearchaic foragers avoided starvation risk by pursuing small game. That is they were risk adverse.</p>
<p class="style20" align="left">Elston and Zeanah (2002) note the following problems in Pinson&#8217;s analysis; 1) the model ignores the possibility that Prearchaic foragers might have entered basins where foraging returns did not meet daily requirements at which point the risk of starvation should have prompted the risk prone strategy of choosing the high variance option of large mammal hunting, 2) if Prearchaic foragers were risk adverse they would be expected to forgo migration from known basin habitats to new, unknown locations, and 3) if EH environments were as patchy as predicted by Pinson, the Prearchaic archaeological record should more nearly correspond to the Archaic record when climate deterioration reduced the density of high ranked prey. Increasing search time would have been a consequence under both conditions.</p>
<p class="style20" align="left">Zeanah et al. (1999) used some of the techniques from Pinson&#8217;s analysis of Carson Desert foraging in simulations of optimal foraging in Railroad Valley but in the latter analysis &#8220;more detailed regional palaeoenvironmental data, better information on the productive capacity of modern soil types and improved GIS (Geographic Information System) capabilities permitted a more finely tuned reconstruction of prehistoric foraging landscapes than was feasible in the Carson Desert (Elston and Zeanah (2002 p. 117).&#8221; The Railroad Valley simulations considered male and female foragers randomly encountering resources across spatial and seasonal variation. From the early Holocene (EH)to middle Holocene (MH) hunting returns for men diminished by as much as 75% in all seasons. By contrast women&#8217;s returns varied much less across the transition, increasing somewhat in autumn as pinyons entered the ecosystem. As habitats dried out in the MH, wetland resources disappeared as options for women allowing lower ranked small seeds to enter the diet in late winter-early spring.</p>
<p class="style20" align="left">The authors conclude that the highly productive ecosystems of the EH and the low population numbers encouraged high mobility that allowed men and women to forage in the most productive habitats for their resource choices. As the climate changed and women&#8217;s wet land resources declined, Great Basin foragers faced the risk of starvation in certain seasons. In the face of this risk women collected small seeds in seasons when they were abundant and stored them for the short season. Seed caches changed the pattern of mobility for both men and women, encouraged residential bases, lower investment in tools for large game hunting and more investment in tools such as grinding stones for seed processing. Bright, Ugan and Hunsaker (2002) predicted increasing investment in processing tools to reduce handling cost as lower ranked resources enter the diet in response to a decline in the density of higher ranked resources. The change in grinding stone technology, through time, in the Little Boulder Basin area of north-central Nevada supports that prediction. These innovative approaches linking optimal foraging theory, resource changes through time, and changing investments in technology increase our confidence that ancestral diet choices can be studied and understood. In lecture 9 we will look at how foraging models, applied to resource choices in modern hunter-gathers, have improved our understanding of human diet choices.</p>
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<td><strong>Sih, Andrew and Milton, Katherine. 1985. Optimal diet theory: Should the !Kung eat mongongos? Amer. Anthropol. 87(2):396-401. </strong><strong>Hawkes, Kristen and O&#8217;Connell, James F. 1985 Optimal foraging models and the case of the !Kung. Amer. Anthropol. 87(2):401-405. </strong><strong>Elston, R. G. and Zeanah, D. W. 2002. Thinking outside the box: A new perspective on diet breadth and sexual division of labor in the Prearchaic Great Basin. World Arch. 34(1):103-130. </strong></td>
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<p align="center"><strong><span class="style21">Also Recommended </span></strong></p>
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<td><strong>Winterhalder, B., Lu, F., and Tucker, B. 1999. Risk-sensitive adaptive tactics: Models and evidence from subsistence studies in biology and anthropology. J. Arch. Res. 7(4): 301-348. </strong></td>
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		<title>Lecture 7</title>
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		<description><![CDATA[WebCT &#160; The Evolution of the Human Diet Lecture 7 Coastal Migration and Aquatic Resources Anthro 4962/5962 Instructor Helen Alvarez &#160; The mosaic habitats shown in this photograph of Rajegwesi in Meru Betiri National Park on the south coast of Java illustrate the paleoecology hypothesized for H. erectus in Java by O. Frank Huffman and [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=humandiet.wordpress.com&amp;blog=433312&amp;post=3&amp;subd=humandiet&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
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<p class="style17" align="center">&nbsp;</p>
<p class="style18"> The Evolution of the Human Diet</p>
<p class="style19">Lecture 7</p>
<p class="style19">Coastal Migration and Aquatic Resources</p>
<p class="style23">Anthro 4962/5962 Instructor Helen Alvarez<span id="more-3"></span></p>
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<p class="style12" align="center">&nbsp;</p>
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<td align="center"><img src="https://webct.utah.edu/webct/RelativeResourceManager/Template/Fall%202006/Lectures/Lec7_Coastal%20folder/Lec7_Coastal/Rajegwesi.jpg" border="0" height="503" width="747" /><!--more--></td>
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<td align="left" valign="top"><strong>The mosaic habitats shown in this  photograph of Rajegwesi in    Meru Betiri National Park on the south coast of Java illustrate the paleoecology hypothesized for <em>H. erectus </em>in Java by O. Frank Huffman and his colleagues. The photo is from    from <a href="doWindowOpen('http://www.eastjava.com','new_frame','width=600,height=420,menubar=1,toolbar=1,scrollbars=1,status=1,location=1,resizable=1',0)">www.eastjava.com</a> </strong></td>
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<p class="style20" align="left">Populations of H. erectus were the first human emigrants from Africa. Traveling a route that must have been much the same as that hypothesized for moderns, Lecture 6, they reached the islands of Indonesia (review the map in lecture 5) where fossil crania have been found at Trinil, Ngandong, Sangiran, and Perning near the city of Mojokerto. A group of investigators led by O. Frank Huffman and Yahdi Zaim have just undertaken a major multi-disciplinary project to properly describe the Mojokerto site where the partial skull of a juvenile was found. In the latest publication of this project the authors describe a paleolandscape similar to a modern landscape from Mojokerto pictured above.</p>
<blockquote>
<p class="style20" align="left"> “The good condition of the skull and the large size of the ancient Mojokerto Delta favor the conclusion that the hominin died in the deltaic environment in which it was deposited. The Mojokerto child therefore provides evidence for a seacoast <em>Homo erectus </em>population in Southeast Asia, and raises interest in the role that maritime adaptation might have played in the dispersal and paleoecology of early hominins (Huffman et al. 2006 449).”</p>
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<p class="style20" align="left">The preliminary analysis of the fauna and flora in the beds at the site indicate an environment very much similar to that pictured above where mangrove vegetation, grassland and montane forest provided a variety of resources including small and large bovids, Asian elephants, deer, and turtles.</p>
<p class="style20" align="left"><img src="https://webct.utah.edu/webct/RelativeResourceManager/Template/Fall%202006/Lectures/Lec7_Coastal%20folder/Lec7_Coastal/Batengs.jpg" align="right" border="0" height="325" width="450" /></p>
<p align="left"><strong>Bantengs (wild oxen) would have come to gaze on the grassy plains between the water and the montane forest inhabited by large cats, monkeys, and pigs. The oxen shared their grazing ground with muntjaks, antelope, rhinos and hippos, some of which foraged on smaller shrubs. Preliminary analysis of fossil teeth from the site indicate that the grasses on these grazing grounds were primarily C4 tropical grasses. The analysis of phytoliths in the sediments reveal two types of grasses, open-land taxa from the subfamilies Panicoidae and Arundinoidae and the temperate climate subfamily Pooideae which probably drifted in from montane habitats. Notice from the opening photograph in this lecture the habitat diversity within a short distance from shore line to ridge line. Early humans might have varied their foraging strategies with the seasons depending upon which resources were most abundant in each habitat. Notice also that the presence of large herbivores near the shore doesn&#8217;t rule out big game hunting in habitats characterized by aquatic resources that women and children could collect.</strong></p>
<p align="left"><strong><img src="https://webct.utah.edu/webct/RelativeResourceManager/Template/Fall%202006/Lectures/Lec7_Coastal%20folder/Lec7_Coastal/NypaPalm.jpg" align="left" height="324" width="472" />As rivers flowed off the highlands they formed deltas characterized by mangrove swamps with several species of trees including <em>Nypa fruticans</em> palms and the sugar palm <em>Arenga,</em> with flowers that produce a sugary juice, and shrubs of <em>Passiflora </em>with edible passion fruit, and edible climbing ferns, <em>Stenochlaena palustris</em>.  The trunks of the <em>Nypa </em>are submerged so the fruit, which is edible when it is immature, would have been accessible to terrestrial hominids. The delta facies contain shells of edible mollusks including oyster shells but at low density and scattered distribution. Crocodile and turtle fossils have been reported from the same sediments at other places in the Perning district. To date only one fish fossil has been identified. The photos of bantengs and nypa palm were taken from a web site of photographs of Ujung Kulon National Park but unfortunately the web site is no long available. </strong></p>
<p><strong>At other locations in Java where crania of <em>H. erectus</em> have been found, a succession of dry and wet climatic regimes can be documented in the fossil pollen record. The stratigraphy of the Sangiran dome, near where Sangiran 17 was found, documents a record from 2.6 M. A to 0.2 M. A. (Semah et al. 2003 ). The sediments at the Plio-Pleistocene boundary indicate the retreat of the seas and emergent land bridges between mainland Southeast Asia and the Indonesian islands. At all times, the habitat of East Java was characterized by high diversity with the hominid fossils dating to 800,000 years associated with pollen documenting a drier climate but tropical rain forest taxa still present. &#8220;In the area outside Sangiran, an Indonesian-French team has worked in the Southern Mountains of Java documenting a long sequence of occupation and adaptation to wet tropical environments from the late middle Pleistocene to the Holocene (Semah et al. 2003 p. 161).&#8221;</strong></p>
<p><strong>The second wave of human emigrants from Africa, <em>H. sapiens, </em>surely passed along these shores  as they reached southern Australia by at least 40,000 years ago.</strong><strong> The use of coastal, marine, and estuary resources by sapiens in Southeast Asia has been little considered as most of the focus in Asian archaeology has been on <em>H. erectus </em>in China and later populations transitioning from hunting-gathering strategies to farming. Erlandson (2001) attributes this neglect of coastal and aquatic adaptations to two factors, the widespread perception that hominids did not adapt to aquatic habitats before around 15,000 years ago and the obsessive attention to the idea that male-dominated big game hunting explained the origin of tool use, the formation of the nuclear family, and in its most recent incarnation the evolution of large brains. Erlandson labels one set of ideas about aquatic resources the &#8220;Gates of Hell&#8221; model as theorists proposed that humans only began to use lower quality aquatic resources when forced into marginal habitats by declining returns from hunting and/or by density dependent population growth, that is when they were forced from more desirable habitats. In the next section we are going to ask if foraging returns derived from one habitat can be used to guide inferences about returns in another time and place. This issue is especially relevant to the claims that evidence for the use of aquatic resources is evidence for habitat stress and decline of higher ranked resources.</strong></p>
<p><strong>Last resort scenarios ignore the evidence for the nutritional value of aquatic resources, the cultural complexity of societies subsisting on those resources, high human population densities in some of the most widely exploited riverine and coastal habitats, and the emerging archaeological data suggesting early adoption of aquatic resources. Instead proponents, of the last resort hypothesis, cite the small size of many of the marine resources such as mollusks, crabs, sea urchins, barnacles, and shrimp while ignoring the giant clams available on the reefs of the southern oceans, the abundance of individuals in extensive mollusk beds that characterize rocky coastlines north and south, the large number of stranded fish that can be acquired in drying pools, and nesting sea turtles as a source of eggs and meat. </strong></p>
<p><strong>Since many of the aquatic resources are sessile and predictable in time and space little search and no pursuit is involved in their harvest and interactions with other predators are rare. Further shell fish gathering requires no prior tool production, maintenance or preparation. Shellfish in particular are characterized by low variance, high density, and ease of collection, the very qualities that meet the daily nutritional requirements of growing children who can gather many of these resources for themselves. Erlandson cites a study by Jones and Richman (1995) showing that &#8220;mussel beds produce one of the highest rates of biomass production on earth (Erlandson 2001 p 294).&#8221; The supposed low quality of marine resources is derived from an estimate by Bailey (1978) &#8220;that 156,800 cockles were required to provide the caloric yield of one red deer (Erlandson 2001 p. 294).&#8221; Erlandson questions the accuracy of these estimates and later notes the analysis by Lindstrom (1996) of returns from the Truckee River fishery that are higher than return rates calculated by Simms (1987) for terrestrial Great Basin habitats. Shell fish are low calorie foods so would rank low in foraging models based on net energetic return but they have high <a href="http://www.eatmussels.com/nutrition.html" target="_blank">nutritional value</a> as sources of protein, calcium, and omega fatty acids. Ordinarily I would not post information from commercial sources but the chart comes from a USDA handbook and is a useful comparison of beef and shellfish. Later in the semester we will review arguments over the value of marine resources in the diet when we consider the research from the Okinawan centenarian study.</strong></p>
<p><strong>When you read the assigned pages in Erlandson pay attention to arguments over aquatic resources, the ambiguity of the archaeological record, the theoretical prejudices of the investigators, the nature of the resource in question, and the problem of changes in sea level with high interglacial levels destroying whatever archaeological evidence there might have been from periods of lower seas. Remember from Walter et al. (2000), Lecture 6, that the Pleistocene reef terrace at Eritrea was preserved by tectonic activity that uplifted a portion of the former shallow water reef. Notice, from Table 1 page 306 Erlandson (2001), that the sites with evidence of use of aquatic strategies span the time from 2.3M to 16.5K, a considerable time frame for the occupation of &#8220;marginal&#8221; habitats. Instead of regarding these habitats and strategies as marginal, new evidence and new hypotheses call for serious consideration of aquatic resources as central to the evolution of human dietary strategies. </strong><strong>Often the most obvious fact of human subsistence is unmentioned because it is so taken for granted. Erlandson calls our attention to the fact that freshwater for drinking is the &#8220;single most important aquatic resource for humans (Erlandson 2001 p. 293).&#8221; </strong></p>
<p><strong>Even as our earliest ancestors exploited the resources of the woodlands and grasslands, they must have stayed close to sources of water. The important archaeological sites of Africa are all in riverine or lacustrine environments. It is hard to imagine wild foragers ignoring the resources in and and around water sources especially when those resources could be captured and processed with very simple tools. Where simple tools were not adequate to the job, early sapiens were capable of making more sophisticated tools as evidenced by the hafted bone point technology from Katanda.</strong></p>
<p><strong>Although I have emphasized coastal strategies in this lecture we know that early anatomically modern humans did move into other ecological niches as shown by the occupation of Niah Cave in Borneo. The Deep Skull, tentatively dated to the time period between 43,000 &#8211; 40,000 B.P., has been found in late Pleistocene sediments of the cave. Niah cave is one of a series of caverns in sheer-sided limestone walls that rise nearly 400 m above the lowland rain <img src="https://webct.utah.edu/webct/RelativeResourceManager/Template/Fall%202006/Lectures/Lec7_Coastal%20folder/Lec7_Coastal/Niah_West_mouth.png" align="right" height="266" width="409" />forest. The present climate in the vicinity of the cave is tropical super wet with mean annual rainfall greater than 3000 mm and rare or very short seasonal dry periods. The Pleistocene climate may have been more seasonal but changes in rainfall and temperature regimes at this site, through time, have not been resolved. At the time of Pleistocene occupation, the cave may have been about 30 km from the sea. Floral and faunal elements recovered from the late Pleistocene levels suggest that &#8220;humans were foraging in a mosaic of closed forest, scrub, grassland, swamp, and freshwater lakes and rivers (Crangrook 2000:83, cited in Barton 2005:57).&#8221; Barton, along with others interested in drawing as much information as possible from the archaeological record, has been involved in the development of a new line of evidence from archaeological assemblages, the identification of starch grains through the comparison of grains found in sediments and on tools with grains from modern starches.</strong></p>
<p><strong> Though the evidence from Niah is scanty, starch grains from palm pith and deep-rooted species of yams have been identified from the site. At other sites in Melanesia, starch grains of elephant yams, taro, ginger, and swamp taro have been identified. Some of these taros require cooking, drying or leaching to remove toxic calcium oxalate crystals but the pith of certain palms can be eating raw. These palms have high energetic yields but some processing costs as the palms have to be felled and the fiber pounded or otherwise extracted from the trunk. Evidence from sites in Southeast Asia and the evidence we will discuss in Lecture 9 from the Ache demonstrates that forest environments provided rich habitats for human foragers. Recall from Lecture 6 that the islands of Indonesia were accessible by land during glacial periods when water was locked up in northern hemisphere ice shields. </strong></p>
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<p align="center"><span class="style21">Assigned Reading</span></p>
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<td><strong>Erlandson, Jon M., 2001. The archaeology of aquatic adaptations: Paradigms for a new millennium. J Arch. Research. 9(4): 287- 350. For this lecture read pages 287-321. </strong></td>
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<p align="center"><strong><span class="style22">Also Recommended </span></strong></p>
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<td><strong>Barton, H., 2005. The case for rainforest foragers: The starch record from Niah Cave, Sarawak. Asian Perspectives 44(1): 56-72. (Asian Perspectives available as electronic edition Marriott Library) </strong><strong>Huffman, O. F., Y. Zaim, J. Kappelman, D. R. Ruez Jr., J. de Vos, Y. Rizal, F. Aziz, C. Hertler. 2006. Relocation of the 1936 Mojokerto skull discovery site near Perning, East Java. J. Hum. Evol. 50: 431-451. </strong></p>
<p><strong>Huffman, O. F., and Yahdi Zaim. 2003. Mojokerto Delta, East Jawa: Paleoenvironment of <em>Homo modjokertensis </em>First Results </strong></p>
<p><strong>Semah, Francois, Semah, Anne-Marie and Simanjuntak, Truman, 2003. More than a million years of human occupation in insular Southeast Asia. In Under the Canopy: The Archaeology of Tropical Rain Forests. pp 161-190. ed. J. Mercader New Brunswick, NJ: Rutgers University Press. (available from Marriott Library, Course Reserves) </strong></td>
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