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Decomposing Habitat Suitability Across the Forager to Farmer Transition

Vernon, Kenneth B., Yaworsky, Peter M., Spangler, Jerry, Brewer, Simon, Codding, Brian F.·2022·Environmental Archaeology
DOI 10.1080/14614103.2020.1746880
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Abstract

How might subsistence strategies structure the costs and benefits of habitat selection and, therefore, drive settlement patterning? We explore this question within an Ideal Distribution framework, arguing that (i) a habitat can be decomposed into its environmental covariates, (ii) their relative contributions to suitability can vary as a function of subsistence strategy, and (iii) the resulting differences will in turn lead to different population distributions across habitats. To evaluate these claims, we apply a Poisson point-process modelling approach known as maximum entropy (MaxEnt) to Archaic hunter-gatherer and Formative maize-farmer sites within the Grand Staircase-Escalante National Monument. Our results show that environmental covariates vary in their importance for each strategy and that the strategies themselves vary in their land use and habitat distribution, with Archaic foragers being widely distributed across space, Formative farmers more densely packed into areas indicative of higher maize productivity. The approach itself also has wide application to other subsistence strategies, including horticulture and pastoralism, across a range of environmental conditions.

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  • Using the methods showcased here, we can address local and regional research questions pertaining to changing prehistoric land use patterns, such as the transition to agriculture and agriculture's effects on prehistoric population distributions on the GSENM and how farmers of the arid southwest responded to volatile climatic conditions and the subsistence-settlement dynamics that ultimately led to

    “Using the methods showcased here, we can address local and regional research questions pertaining to changing prehistoric land use patterns, such as the transition to agriculture and agriculture’s effects on prehistoric population distributions on the GSENM and how farmers of the arid southwest responded to volatile climatic conditions and the subsistence-settlement dynamics that ultimately led to”

    From Advancing predictive modeling in archaeology: an evaluation of regression and machine learning methods on the grand staircase-escalante national monument (2020) · cites this paper as [22]

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Metadata

Authors
Vernon, K. B., Yaworsky, P. M., Spangler, J., Brewer, S., & Codding, B. F.
Affiliations
  • Department of Anthropology, University of Utah, Salt Lake City, UT, USA
  • Colorado Plateau Archaeological Alliance, Ogden, UT, USA
  • Department of Geography, University of Utah, Salt Lake City, UT, USA
ORCID
Venue
Environmental Archaeology
Publisher
Informa UK Limited
Published
2020-04-22
Volume
27
Issue
4
Pages
420-433
ISSN
  • 1461-4103
  • 1749-6314
DOI
10.1080/14614103.2020.1746880
Cited by
24
References
2
Language
en
Funders
US Bureau of Land Management

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