In this study, 2-Block Partial least-Squarea analysis was used to explore the pattern of covariation between two sets of leaf morphological data 8landmarks and traditional measures) sampled on 273 trees in a mixed forest of Quercus frainetto, Q. petraea and Q. pubescens, in southern-central italy. Two goupn of related variables were detected and the three oak species were higly significant discriminated by CVA coputed on dimensions extracted by 2B-PLS analysis.

Geometric morphometric analysis as a tool to explore covariation between shape and other quantitative lea trait in European white oak

LOY, Anna;FORTINI, Paola
2010-01-01

Abstract

In this study, 2-Block Partial least-Squarea analysis was used to explore the pattern of covariation between two sets of leaf morphological data 8landmarks and traditional measures) sampled on 273 trees in a mixed forest of Quercus frainetto, Q. petraea and Q. pubescens, in southern-central italy. Two goupn of related variables were detected and the three oak species were higly significant discriminated by CVA coputed on dimensions extracted by 2B-PLS analysis.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11695/12239
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