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| Legras, Gaëlle; Loiseau, Nicolas; Gaertner, Jean-claude; Poggiale, Jean-christophe; Lenco, Dino; Mazouni, Nabila; Mérigot, Bastien. |
| Describing how communities change over space and time is crucial to better understand and predict the functioning of ecosystems. We propose a new methodological framework, based on network theory and modularity concept, to determine which type of mechanisms (i.e. deterministic versus stochastic processes) has the strongest influence on structuring communities. This framework is based on the computation and comparison of two networks: the co-occurrence (based on species abundances) and the functional networks (based on the species traits values). In this way we can assess whether the species belonging to a given functional group also belong to the same co-occurrence group. We adapted the Dg index of Gauzens et al. (2015) to analyze congruence between both... |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00599/71142/69458.pdf |
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| 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 |
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