Central Place Models of Acorn and Mussel Processing

Bettinger, Robert L.; Malhi, Ripan S.; McCarthy, Helen

doi:10.1006/jasc.1996.0168

Cited by 135 publications

(94 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We do not include mussels less than 20 mm in length in average mussel size because we assume that they were too small to be targeted for consumption, and were instead inadvertently collected because they were attached to larger individuals. A high proportion of these small individuals could reflect mussel collection through stripping rather than plucking (see Bettinger et al 1997).…”

Section: Faunal Analysismentioning

confidence: 99%

A Test of Ideal Free Distribution Predictions Using Targeted Survey and Excavation on California’s Northern Channel Islands

Jazwa

Kennett

Winterhalder

2015

J Archaeol Method Theory

View full text Add to dashboard Cite

Using targeted survey, excavation, and radiocarbon dating, we assess the extent to which human settlement patterns on California's northern Channel Islands fit predictions arising from the ideal free distribution (IFD): (1) people first established and expanded permanent settlements in the regions ranked high for environmental resource suitability; (2) as population grew, they settled in progressively lower ranked habitats; and (3) changes in the archaeological record associated with high population levels such as increases in faunal diversity and evenness in high-ranked habitats are coincident with the expansion to other areas. On Santa Rosa Island, the early permanent settlements were located in both high-and middle-ranked locations, with the most extensive settlement at the highest ranked locations and only isolated sites elsewhere. Settlement at a low-ranked habitat was confined to the late Holocene (after 3600 cal BP). Drought influenced the relative rank of different locations, which is an example of climate adding a temporal dimension to the model that episodically stimulated population movement and habitat abandonment. Because the IFD includes a wide range of cultural and environmental variables, it has the potential to be a central model for guiding archaeological analysis and targeted field research.

show abstract

Section: Faunal Analysismentioning

confidence: 99%

A Test of Ideal Free Distribution Predictions Using Targeted Survey and Excavation on California’s Northern Channel Islands

Jazwa

Kennett

Winterhalder

2015

J Archaeol Method Theory

View full text Add to dashboard Cite

show abstract

“…Likewise, the enormous influence of recent advances in agent-based modeling for social and socionatural systems, particularly the three edited volumes by Kohler and van der Leeuw (2007), Miller and Page (2007), and Epstein (2006), cannot be understated. This is, of course, supplemented by the vast predictive modeling literature already cited in this article, as well as biological and economic modeling studies-specifically the archaeological applications of optimal foraging theory (MacArthur and Pianka 1966;Emlen 1966;Bettinger 1980;Stephens and Krebs 1986;Simms 1987;Kelly 1995;Winterhalder and Kennett 2006), the diet-breadth model (Hames and Vickers 1982;O'Connell and Hawkes 1984;Winterhalder 1987;Smith 1991;Grayson and Delpech 1998), central place foraging (Orians and Pearson 1979;Stephens and Krebs 1986;Jones and Madsen 1989;Metcalfe and Barlow 1992;Bettinger et al 1997;Bird 1997;Grayson and Cannon 1999;Zeanah 1996;Thomas 2008), and-more distantly-prospect theory (Kahneman and Tversky 1979;Tversky and Kahneman 1992;and Wakker et al 2003). The discussion which follows can be seen as being based on an amalgamation of the views, structures, debates, issues, and processes originally presented by these sources.…”

Section: Cognitive Predictive Modelingmentioning

confidence: 99%

Integrating Archaeological Theory and Predictive Modeling: a Live Report from the Scene

Verhagen

Whitley²

2011

J Archaeol Method Theory

132

View full text Add to dashboard Cite

Archaeological predictive modeling has been used successfully for over 20 years as a decision-making tool in cultural resources management. Its appreciation in academic circles however has been mixed because of its perceived theoretical poverty. In this paper, we discuss the issue of integrating current archaeological theoretical approaches and predictive modeling. We suggest a methodology for doing so based on cognitive archaeology, middle range theory, and paleoeconomic modeling. We also discuss the problems associated with testing predictive models.

show abstract

“…We also need to consider how the various seeds, nuts, fruits, and roots were collected and transported (bettinger, Malhi, and McCarthy, 1997). do the desired parts remain on trees, shrubs, and stalks or do they drop to the ground?…”

Section: Morphometric Analysis Of Oyster Shell Shapementioning

confidence: 99%