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  Reconstruction of prehistoric pottery use from fatty acid carbon isotope signatures using Bayesian inference

Fernandes, R., Eley, Y., Brabec, M., Lucquin, A., Millard, A., & Craig, O. E. (2018). Reconstruction of prehistoric pottery use from fatty acid carbon isotope signatures using Bayesian inference. Organic Geochemistry, 117, 31-42. doi:10.1016/j.orggeochem.2017.11.014.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-191C-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-55BD-A
Genre: Journal Article

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 Creators:
Fernandes, Ricardo1, Author              
Eley, Yvette1, Author
Brabec, Marek1, Author
Lucquin, Alexandre1, Author
Millard, Andrew1, Author
Craig, Oliver E.1, Author
Affiliations:
1Archaeology, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074312              

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Free keywords: Fatty acids, Carbon isotopes, Pottery use, Bayesian mixing models, FRUITS
 Abstract: Abstract Carbon isotope measurements of individual fatty acids (C16:0 and C18:0) recovered from archaeological pottery vessels are widely used in archaeology to investigate past culinary and economic practices. Typically, such isotope measurements are matched with reference to food sources for straightforward source identification, or simple linear models are used to investigate mixing of contents. However, in cases where multiple food sources were processed in the same vessel, these approaches result in equivocal solutions. To address this issue, we tested the use of a Bayesian mixing model to determine the proportional contribution of different food sources to a series of different mixed food compositions, using data generated both by simulation and by experiment. The model was then applied to previously published fatty acid isotope datasets from pottery from two prehistoric sites: Durrington Walls, near Stonehenge in southern Britain and Neustadt in northern Germany. We show that the Bayesian approach to the reconstruction of pottery use offers a reliable probabilistic interpretation of source contributions although the analysis also highlights the relatively low precision achievable in quantifying pottery contents from datasets of this nature. We suggest that, with some refinement, the approach outlined should become standard practice in organic residue analysis, and also has potential application to a wide range of geological and geochemical investigations.

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Language(s): eng - English
 Dates: 2017-12-072018
 Publication Status: Published in print
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: Other: shh915
DOI: 10.1016/j.orggeochem.2017.11.014
 Degree: -

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Title: Organic Geochemistry
Source Genre: Journal
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Publ. Info: Oxford : Pergamon
Pages: - Volume / Issue: 117 Sequence Number: - Start / End Page: 31 - 42 Identifier: ISSN: 0146-6380
CoNE: https://pure.mpg.de/cone/journals/resource/954925474428