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

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

Environmental Change and Resilience

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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 language	English
Pages (from-to)	357-367
Number of pages	11
Journal	Radiocarbon
Volume	49
Issue number	2
Publication status	Published - Nov 2007
Event	19th International Radiocarbon Conference - Keble Coll, Oxford, England, United Kingdom Duration: 01 Apr 2007 → 01 Apr 2007

ASJC Scopus subject areas

General Earth and Planetary Sciences

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A Bayesian framework for age modeling of radiocarbon-dated peat deposits: Case studies from the Netherlands
Copyright 2007 The Authors, published by the University of Arizona. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
Final published version, 370 KBLicence: CC BY

https://journals.uair.arizona.edu/index.php/radiocarbon/article/view/2936Licence: Unspecified

Cite this

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

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.",

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AU - Bakker, Ronald

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AU - Hall, Valerie A.

AU - Van Der Plicht, Johannes

PY - 2007/11

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N2 - 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.

AB - 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.

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T2 - 19th International Radiocarbon Conference

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ER -

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

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