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Plots and model fits summarizing results from the four main predictions. (a, P1) Number of site occupants as a function of site size ( ). (b, P2) Duration of active site occupation as a function of size sorting. (c, P3) Median monitor lizard harvest (kcals) as a function of site size and (d, P4) as a function of size sorting. Confidence intervals show the standard error (95%) of the model fit. See Table 1 for details.

Plots and model fits summarizing results from the four main predictions. (a, P1) Number of site occupants as a function of site size ( ). (b, P2) Duration of active site occupation as a function of size sorting. (c, P3) Median monitor lizard harvest (kcals) as a function of site size and (d, P4) as a function of size sorting. Confidence intervals show the standard error (95%) of the model fit. See Table 1 for details.

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Archaeological investigations of hunter-gatherer site structure have remained largely descriptive, despite significant explanatory advancements by evolutionary approaches to foraging behavior and ecology. To date, calls to incorporate site structure studies within this behavioral ecological framework have largely been ignored. We suggest there is a...

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Context 1
... of more time spent a the site, then the duration of occupation should increase with degree of size sorting. Across the ten sites for which size sorting data was available, the active occupation time and the sum time spent hunt- ing monitor lizards increases as a function of the difference in disper- sion between large and small bone fragments (Fig. 5b). While overall the models are a significant improvement over a null model, the ef- fect of each independent variable is not statistically significant (Table 1). These findings suggest that size sorting may be a rough proxy for the amount of time individuals spend at a site and the amount of time spent foraging, but that the effect may ...
Context 2
... on theoretical insights from the MVT, more people, occupy- ing larger sites, should cause greater in-patch competition and result in lower per capita yields. The results show that this generally holds true: monitor lizard harvests decline as site size increases (Fig. 5c). But the effect is only significant inasmuch as the inclusion of site size improves the prediction of monitor lizard returns when compared to a null model ( ), with any independent effects of site size likely due to chance (Table 1). Moreover, this is not a very robust as- sociation, with site size explaining only 10% of deviance in ...
Context 3
... should stay longer in higher quality patches, which should result in greater size sorting and higher per capita returns. The data support this prediction, showing that mean and median harvests increase with the degree of size sorting (Fig. 5d). Size sorting explains 28% of the deviance in median monitor lizard harvest and 38% in mean harvest. Though while the inclusion of the independent variable improves each model significantly , the effect of each in- dependent variable is only marginally significant ( ; Table 1). Overall, these findings roughly support the predictions, ...

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... As an example of the predictive utility of this model, we first turn to an ethnographic case drawing on quantitative foraging data collected by the authors in collaboration with Martu, an Australian Aboriginal population who live in and have Native Title over their ancestral estates in Western Australia (Fig. 6.2) , 2010Bird et al., , 2009Bird et al., , 2013Bird et al., , 2016a, 2012aCodding et al., 2010Codding et al., , 2011Codding et al., , 2014Codding et al., , 2016aScelza et al., 2014;Scelza & Bliege Bird, 2008; Zeanah et al., 2015Zeanah et al., , 2017. We then briefly contrast these patterns with those reported by Jim O'Connell and Kristen Hawkes (1981Hawkes ( , 1984 who worked with Alyawarre populations in Central Australia (Fig. 6.2). ...
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