Bayesian modeling and chronological precision for Polynesian settlement of Tonga

PLoS One. 2015 Mar 23;10(3):e0120795. doi: 10.1371/journal.pone.0120795. eCollection 2015.

Abstract

First settlement of Polynesia, and population expansion throughout the ancestral Polynesian homeland are foundation events for global history. A precise chronology is paramount to informed archaeological interpretation of these events and their consequences. Recently applied chronometric hygiene protocols excluding radiocarbon dates on wood charcoal without species identification all but eliminates this chronology as it has been built for the Kingdom of Tonga, the initial islands to be settled in Polynesia. In this paper we re-examine and redevelop this chronology through application of Bayesian models to the questioned suite of radiocarbon dates, but also incorporating short-lived wood charcoal dates from archived samples and high precision U/Th dates on coral artifacts. These models provide generation level precision allowing us to track population migration from first Lapita occupation on the island of Tongatapu through Tonga's central and northern island groups. They further illustrate an exceptionally short duration for the initial colonizing Lapita phase and a somewhat abrupt transition to ancestral Polynesian society as it is currently defined.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Archaeology*
  • Bayes Theorem
  • Humans
  • Models, Statistical*
  • Native Hawaiian or Other Pacific Islander*
  • Time Factors
  • Tonga

Grants and funding

This work was supported by Social Sciences and Humanities Research Council of Canada Grants 410-2009-2700 and 435-2013-0566 to Burley <http://sshrc-crsh.gc.ca>; Australia Research Council Grant DP0986542 to Weisler <http://www.arc.gov.au>; and Australian Research Council Grant LE0989067 to Shao, Weisler and others <http://www.arc.gov.au>. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.