Approximate Bayesian Computation of radiocarbon and paleoenvironmental record shows population resilience on Rapa Nui (Easter Island)

Robert J. DiNapoli; Enrico R. Crema; Carl P. Lipo; Timothy M. Rieth; Terry L. Hunt

doi:10.1038/s41467-021-24252-z

Nature Communications (Jun 2021)

Approximate Bayesian Computation of radiocarbon and paleoenvironmental record shows population resilience on Rapa Nui (Easter Island)

Robert J. DiNapoli,
Enrico R. Crema,
Carl P. Lipo,
Timothy M. Rieth,
Terry L. Hunt

Affiliations

Robert J. DiNapoli: Environmental Studies Program, Department of Anthropology, Harpur College of Arts and Sciences, Binghamton University, State University of New York
Enrico R. Crema: Department of Archaeology, University of Cambridge
Carl P. Lipo: Environmental Studies Program, Department of Anthropology, Harpur College of Arts and Sciences, Binghamton University, State University of New York
Timothy M. Rieth: International Archaeological Research Institute Inc.
Terry L. Hunt: The Honors College and School of Anthropology, University of Arizona

DOI: https://doi.org/10.1038/s41467-021-24252-z
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 10

Abstract

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Summed probability distributions of radiocarbon dates can be used to estimate past demography, but methods to test for associations with environmental change are lacking. Here, DiNapoli et al. propose an approach using Approximate Bayesian Computation and illustrate it in a case study of Rapa Nui.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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