2004
DOI: 10.1023/b:vege.0000046056.94523.57
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Congruency analysis of species ranking based on leaf traits: which traits are the more reliable?

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Cited by 135 publications
(119 citation statements)
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“…Importantly, our hierarchical design allows us to measure and remove the effects of lower scales from higher scales and ascribe the variation of individual scales to one or a few drivers of phenotypic variation. Given the sampling design, the main drivers of phenotypic variation associated with each of the scales are as follow: 1) the leaf scale mainly reflects the ontogenetic effects of metamer and module position; 2) the strata scale mostly reflects plastic responses to the vertical light gradient in the canopy; 3) the tree scale mainly reflects genetic differences within a species and micro-environmental gradients; 4) the species scale mainly reflects genetic differences resulting from adaptive evolution and drift; 5) the plot of variation for these traits (Roche et al 2004, Albert et al 2010, Hulshof and Swenson 2010, Messier et al 2010, Auger and Shipley 2012, Kang et al 2014. Table 2 shows the fraction of the total variance occurring at the species scale within each study though to be strongly correlated for two traits-leaf mass per area (LMA) and leaf dry matter content (LDMC).…”
Section: Sampling Design and Ecological Scalesmentioning
confidence: 99%
“…Importantly, our hierarchical design allows us to measure and remove the effects of lower scales from higher scales and ascribe the variation of individual scales to one or a few drivers of phenotypic variation. Given the sampling design, the main drivers of phenotypic variation associated with each of the scales are as follow: 1) the leaf scale mainly reflects the ontogenetic effects of metamer and module position; 2) the strata scale mostly reflects plastic responses to the vertical light gradient in the canopy; 3) the tree scale mainly reflects genetic differences within a species and micro-environmental gradients; 4) the species scale mainly reflects genetic differences resulting from adaptive evolution and drift; 5) the plot of variation for these traits (Roche et al 2004, Albert et al 2010, Hulshof and Swenson 2010, Messier et al 2010, Auger and Shipley 2012, Kang et al 2014. Table 2 shows the fraction of the total variance occurring at the species scale within each study though to be strongly correlated for two traits-leaf mass per area (LMA) and leaf dry matter content (LDMC).…”
Section: Sampling Design and Ecological Scalesmentioning
confidence: 99%
“…Traits of dominant life forms may vary widely across climatic gradients, but may also display large variation among coexisting life forms at a single site (Fonseca et al 2000;Austin and Sala 2002;Carrera et al 2003). Many studies have been oriented to identify the main trade oVs that characterize plant performance and their convergence in a wide range of habitats (Cornelissen 1999;Cornelissen et al 1999;Aerts and Chapin 2000;Fonseca et al 2000;Wright et al , 2004Reich et al 2004;Roche et al 2004;Bertiller et al 2005). In a recent study, Wright et al (2004) analyzed a worldwide spectrum of green leaf traits Wnding a large overlapping among plant functional types or growth forms and a low modulation of climate on them.…”
Section: Introductionmentioning
confidence: 99%
“…Leaf traits are globally repeated despite large variations in the values of the traits across individual species with very diverse phylogenetic, biogeographical and environmental affinities. As well, leaf traits can thus provide a link between various environmental factors and leaf functions, and they have been widely used in functional-structural plant models [3]. Morphological and anatomic characters of leaf are used as taxonomic markers to assist in the correct identification of the plant species.…”
Section: Morphological and Anatomical Characters Of Leafmentioning
confidence: 99%