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Assessing functional diversity: the influence of the number of the functional traits
Provedor de dados: 5
Autores: Legras, Gaëlle; Loiseau, Nicolas; Gaertner, Jean-claude; Poggiale, J-c.; Gaertner-mazouni, N.
The impact of the variation of the number of functional traits on functional diversity assessment is still poorly known. Although the covariation between these two parameters may be desirable in some situations (e.g. if adding functional traits provides relevant new functional information), it may also result from mathematical artefacts and lead to misinterpretation of the results obtained. Here, we have tested the behaviour of a set of nine indices widely used for assessing the three main components of functional diversity (i.e. functional richness, evenness and divergence), according to the variation in the number of functional traits. We found that the number of functional traits may strongly impact the values of most of the indices considered, whatever...
Tipo: Text
Palavras-chave: Functional traits; Dissimilarity metric; Functional diversity; Index sensitivity; Trend analysis.
Ano: 2020
URL: https://archimer.ifremer.fr/doc/00503/61438/65561.pdf