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Stochastic models support rapid peopling of Late Pleistocene Sahul.
Bradshaw, Corey J A; Norman, Kasih; Ulm, Sean; Williams, Alan N; Clarkson, Chris; Chadœuf, Joël; Lin, Sam C; Jacobs, Zenobia; Roberts, Richard G; Bird, Michael I; Weyrich, Laura S; Haberle, Simon G; O'Connor, Sue; Llamas, Bastien; Cohen, Tim J; Friedrich, Tobias; Veth, Peter; Leavesley, Matthew; Saltré, Frédérik.
Afiliação
  • Bradshaw CJA; Global Ecology, College of Science and Engineering, Flinders University, Adelaide, SA, Australia. corey.bradshaw@flinders.edu.au.
  • Norman K; ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, NSW, Australia. corey.bradshaw@flinders.edu.au.
  • Ulm S; ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, NSW, Australia.
  • Williams AN; Centre for Archaeological Science, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW, Australia.
  • Clarkson C; ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, NSW, Australia.
  • Chadœuf J; College of Arts, Society and Education, James Cook University, Cairns, QLD, Australia.
  • Lin SC; ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, NSW, Australia.
  • Jacobs Z; Climate Change Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia.
  • Roberts RG; EMM Consulting, St Leonards, NSW, Australia.
  • Bird MI; ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, NSW, Australia.
  • Weyrich LS; School of Social Science, University of Queensland, Brisbane, QLD, Australia.
  • Haberle SG; Max Planck Institute for the Science of Human History, Jena, Germany.
  • O'Connor S; Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia.
  • Llamas B; UR 1052, French National Institute for Agricultural Research (INRA), Montfavet, France.
  • Cohen TJ; ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, NSW, Australia.
  • Friedrich T; Centre for Archaeological Science, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW, Australia.
  • Veth P; ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, NSW, Australia.
  • Leavesley M; Centre for Archaeological Science, School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW, Australia.
  • Saltré F; ARC Centre of Excellence for Australian Biodiversity and Heritage, Wollongong, NSW, Australia.
Nat Commun ; 12(1): 2440, 2021 04 29.
Article em En | MEDLINE | ID: mdl-33927195
The peopling of Sahul (the combined continent of Australia and New Guinea) represents the earliest continental migration and settlement event of solely anatomically modern humans, but its patterns and ecological drivers remain largely conceptual in the current literature. We present an advanced stochastic-ecological model to test the relative support for scenarios describing where and when the first humans entered Sahul, and their most probable routes of early settlement. The model supports a dominant entry via the northwest Sahul Shelf first, potentially followed by a second entry through New Guinea, with initial entry most consistent with 50,000 or 75,000 years ago based on comparison with bias-corrected archaeological map layers. The model's emergent properties predict that peopling of the entire continent occurred rapidly across all ecological environments within 156-208 human generations (4368-5599 years) and at a plausible rate of 0.71-0.92 km year-1. More broadly, our methods and approaches can readily inform other global migration debates, with results supporting an exit of anatomically modern humans from Africa 63,000-90,000 years ago, and the peopling of Eurasia in as little as 12,000-15,000 years via inland routes.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article