A Bayesian framework for age modeling of radiocarbon-dated peat deposits: Case studies from the Netherlands

Maarten Blaauw, Ronald Bakker, J. Anders Christen, Valerie A. Hall, Johannes Van Der Plicht

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)
240 Downloads (Pure)

Abstract

Recently, Bayesian statistical software has been developed for age-depth modeling (wiggle-match dating) of sequences of densely spaced radiocarbon dates from peat cores. The method is described in non-statistical terms, and is compared with an alternative method of chronological ordering of 14C dates. Case studies include the dating of the start of agriculture in the northeastern part of the Netherlands, and of a possible Hekla-3 tephra layer in the same country. We discuss future enhancements in Bayesian age modeling.
Original languageEnglish
Pages (from-to)357-367
Number of pages11
JournalRadiocarbon
Volume49
Issue number2
Publication statusPublished - Nov 2007
Event19th International Radiocarbon Conference - Keble Coll, Oxford, England, United Kingdom
Duration: 01 Apr 200701 Apr 2007

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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