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Holocene 14 (6)
Title
The title of the publication or report
Title:
Holocene 14 (6)
Series
The series the publication or report is included in
Series:
The Holocene
Volume
Volume number and part
Volume:
14 (6)
Publication Type
The type of publication - report, monograph, journal article or chapter from a book
Publication Type:
Journal
Editor
The editor of the publication or report
Editor:
John A Matthews
Publisher
The publisher of the publication or report
Publisher:
Sage Publications
Year of Publication
The year the book, article or report was published
Year of Publication:
2004
Source
Where the record has come from or which dataset it was orginally included in.
Source:
BIAB (The British & Irish Archaeological Bibliography (BIAB))
Relations
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Relations:
URI:
http://hol.sagepub.com/content/vol14/issue6/
Created Date
The date the record of the pubication was first entered
Created Date:
01 May 2007
Please click on an Article link to go to the Article Details.
Article Title
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Page
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Abstract
Climatic information from 13C in plants by combining statistical and mechanistic approaches
Guillemette Ménot-Combes
Pierre-Philippe Combes
Stephen J Burns
931 - 939
The approach commonly used to assess the potential for climate reconstruction is to use linear regressions to compare the isotopic signal stored in archives to instrumental climatic data sets. A new method is proposed that combines statistical and mechanistic approaches to extract climatic information from 13C records in organic matter. Both a spatial and a temporal gradient of 13C discrimination in a moss species commonly found in temperate and tropical peat bogs are compared to meteorological records. The relevance of fossil and modem analogues to elucidate palaeoenvironment records are tested. It was found that the magnitude and, in some cases, the direction of the impact of temperature, humidity and CO2 atmospheric concentration on 13C discrimination depend on the calibration set considered. The use of a mechanistic model is shown to help greatly in specifying the joint influence of the climatic variables.