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Open Access Publications from the University of California

Human Complex Systems


An Interaction Model for Resource Implement Complexity Based on Risk and Number of Annual Moves


Different hypotheses identifying factors affecting the complexity of implements used to obtain food resources by hunter-gatherer groups are assessed with stepwise regression. A regression model based on interaction between growing season as a proxy measure for risk and number of yearly moves fits data on the complexity and diversity of implements for twenty hunter-gatherer groups. The interaction model leads to a division of hunter-gatherer groups into two subgroups that correspond to collector versus forager strategies for procuring resources. Implications of the interaction model for the evolution of complex implements are discussed.

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