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    Dental microwear texture analysis of Homo sapiens sapiens: Foragers, farmers, and pastoralists

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    Schmidt_et_al_2019_FINAL.pdf
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    Author
    Schmidt, Christopher W.
    Remy, Ashley
    Van Session, Rebecca
    Willman, John
    Krueger, Kristin
    Scott, Rachel
    Mahoney, Patrick
    Beach, Jeremy
    McKinley, Jaqueline
    D'Anastasio, Ruggero
    Chiu, Laura
    Buzon, Michele
    De Gregory, J. Rocco
    Sheridan, Susan
    Eng, Jacqueline
    Watson, James
    Show allShow less
    Affiliation
    Univ Arizona, Sch Anthropol, Arizona State Museum
    Issue Date
    2019-06
    Keywords
    archeology
    diet
    subsistence
    teeth
    
    Metadata
    Show full item record
    Publisher
    Wiley
    Citation
    Schmidt, CW, Remy, A, Van Sessen, R, et al. Dental microwear texture analysis of Homo sapiens sapiens: Foragers, farmers, and pastoralists. Am J Phys Anthropol. 2019; 169: 207– 226. https://doi.org/10.1002/ajpa.23815
    Journal
    American Journal of Physical Anthropology
    Rights
    © 2019 Wiley Periodicals, Inc.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Objectives. The current study seeks to determine if a sample of foragers, farmers, and pastoralists can be distinguished by their dental microwear texture signatures. Materials and Methods. The study included a sample of 719 individuals from 51 archaeological sites (450 farmers, 192 foragers, 77 pastoralists). All were over age 12 and sexes were pooled. Using a Sensofar® white-light confocal profiler we collected dental microwear texture analysis (DMTA) data from a single first or second molar from each individual. We leveled and cleaned data clouds following standard procedures and analyzed the data with Sfrax® and Toothfrax® software. The DMTA variables were complexity and anisotropy. Statistics included ANOVA with partial eta squared and Hedges's g. We also performed a follow-up K-means cluster analysis. Results. We found significant differences between foragers and farmers and pastoralists for complexity and anisotropy, with foragers having greater complexity than either the farmers or the pastoralists. The farmers and pastoralists had greater anisotropy than the foragers. The Old World foragers had significantly higher anisotropy values than New World foragers. Old and New World farmers did not differ. Among the Old World farmers, those dating from the Neolithic through the Late Bronze Age had higher complexity values than those from the Iron Age through the medieval period. The cluster analysis discerned foragers and farmers but also indicated similarity between hard food foragers and hard food farmers. Discussion. Our findings reaffirm that DMTA is capable of distinguishing human diets. We found that foragers and farmers, in particular, differ in their microwear signatures across the globe. There are some exceptions, but nothing that would be unexpected given the range of human diets and food preparation techniques. This study indicates that in general DMTA is an efficacious means of paleodietary reconstruction in humans.
    Note
    12 month embargo; first published: 19 March 2019
    ISSN
    0002-9483
    PubMed ID
    30888064
    DOI
    10.1002/ajpa.23815
    Version
    Final accepted manuscript
    Sponsors
    National Science Foundation [BCS-0922930, BCS-0636066, BCS-0820805]; British Academy-Leverhulme Trust; NSF [BCS-1528698]; NGS [8810-10]; Wenner-Gren Foundation for Anthropological Research [GR6698]; LUROP Mulcahy Fellowship through Loyola University Chicago; Sao Paulo Research Foundation [2013/00069-0]; Faculty of Arts Doctoral Award, University of Auckland; Leakey Foundation; Marie Sklodowska-Curie Actions (H2020-MSCA-IF-2016) [749188]; AGAUR [2017SGR1040]; URV [2016PFR-URV-B2-17]; MINECO/FEDER [CGL2015-65387-C3-1-P]
    ae974a485f413a2113503eed53cd6c53
    10.1002/ajpa.23815
    Scopus Count
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