2017
DOI: 10.3140/bull.geosci.1599
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How to interpret palaeoclimate CLAMP estimates - is it a number value or an interval range?

Abstract: Palaeoclimatic estimates derived from CLAMP are usually presented as an exact value/number. However, in order to be correct, palaeoclimatic estimates derived from the CLAMP calibration datasets including physiognomic and meteorological characteristics of living vegetation must be expressed as intervals. This study introduces a method for calculating confidence intervals of CLAMP estimates. These intervals are generated separately for each palaeoclimate parameter and dataset of modern calibration sites and will… Show more

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Cited by 2 publications
(1 citation statement)
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“…Climate Leaf Analysis Multivariate Program (CLAMP) is a multivariate statistical technique for quantitative determination of a range of palaeoclimate parameters based on foliar physiognomy of woody dicotyledonous angiosperms. CLAMP was first introduced by Wolfe (1993) and subsequently this technique has been refined (Wolfe and Spicer 1999, Spicer 2000, Spicer et al 2004), methodologically modified (e.g., Teodoridis et al 2011b, Yang et al 2011, Teodoridis and Mazouch 2017, Zolina et al 2020 and updated using gridded meteorological data (Spicer et al 2009(Spicer et al , 2020 and new CLAMP calibration data (e.g., Jacques et al 2011, Khan et al 2014, Yang et al 2015.…”
Section: Climate Leaf Analysis Multivariate Program (Clamp)mentioning
confidence: 99%
“…Climate Leaf Analysis Multivariate Program (CLAMP) is a multivariate statistical technique for quantitative determination of a range of palaeoclimate parameters based on foliar physiognomy of woody dicotyledonous angiosperms. CLAMP was first introduced by Wolfe (1993) and subsequently this technique has been refined (Wolfe and Spicer 1999, Spicer 2000, Spicer et al 2004), methodologically modified (e.g., Teodoridis et al 2011b, Yang et al 2011, Teodoridis and Mazouch 2017, Zolina et al 2020 and updated using gridded meteorological data (Spicer et al 2009(Spicer et al , 2020 and new CLAMP calibration data (e.g., Jacques et al 2011, Khan et al 2014, Yang et al 2015.…”
Section: Climate Leaf Analysis Multivariate Program (Clamp)mentioning
confidence: 99%