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Quantification of uncertainties in fossil leaf aleoaltimetry: does leaf size matter?

Spicer, Robert A. and Yang, Jian (2010). Quantification of uncertainties in fossil leaf aleoaltimetry: does leaf size matter? Tectonics, 29(TC6001) pp. 1–13.

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The utility of multivariate foliar physiognomy, specifically the Climate Leaf Analysis Multivariate Program (CLAMP), to yield reliable estimates of enthalpy and hence paleoelevation has been demonstrated by comparison with other proxies, yet concerns have arisen regarding uncertainties arising from 1) apparent ambiguities in the scoring regime and 2) the way leaf size is scored. Regarding 1) scoring ambiguities are examined by reporting on scoring tests with novice users and inter-laboratory comparisons. The uncertainties were found to be less than those arising from the statistical methodology underpinning CLAMP. In respect of 2) the effect of removing all size data both from modern test sites and fossil data was tested. Specifically the effect of removing leaf size data from the 15 Ma Namling data set from south central Tibet, was investigated. Removal of all size data from modern sites demonstrated that size data contributes little to estimates of MAT (Mean Annual Temperature) and enthalpy. Similarly the removal of leaf size information from the Namling data set alone, but with calibration unchanged, and from both the Namling site and calibration sites, this time with recalibration, still yield paleoelevation estimates that have been independently matched by oxygen isotope techniques. Moreover the removal of all leaf size information results in only small increases in uncertainty (± 52 m).

Item Type: Journal Item
Copyright Holders: 2010 American Geophysical Union
ISSN: 0278-7407
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetResearch Councils UK and the Chinese Academy of Sciences, a Visiting Professorship for Senior International Scientists awarded to R.A.S. by the Chinese Academy of Sciences and a Royal Society/Chinese Academy of Sciences Joint Project
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 25731
Depositing User: Robert Spicer
Date Deposited: 21 Dec 2010 16:38
Last Modified: 02 May 2018 13:22
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