Functional diversity measures: an overview of their redundancy and their ability to discriminate community assembly rules

By M. Mouchet, Sébastien Villéger, N. Mason, David Mouillot. 2010

1,524 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/aeefc4746a6e9965f5a8fc91dc2cf4b546e43d55

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Rapid loss of glacial ice reveals stream community assembly processes (2012, methodology): “FD: Petchey & Gaston, 2002, 2006) are suitable for studies examining community assembly where taxonomic richness is >10, and the n taxa < n traits used to calculate FD (Mouchet et al., 2010).”
Functional diversity supports the physiological tolerance hypothesis for plant species richness along climatic gradients (2014, methodology): “2006; Petchey & Gaston 2006) offers new tools for understanding many aspects of community assembly, including metrics of functional diversity that describe the distribution of species traits within and among communities (Mouchet et al. 2010; Schleuter et al. 2010).”
Beyond taxonomic diversity patterns: how do α, β and γ components of bird functional and phylogenetic diversity respond to environmental gradients across France? (2011, positive): “For example, given a strong environmental gradient and strong species sorting along those gradients, we would expect species as well as functional turnover (Mouchet et al., 2010).”
Ants as indicators of environmental change and ecosystem processes (2017, background): “Given these close relationships of functional traits with habitat conditions and trophic position, it is thought that functional richness of ants is more directly linked with food web interactions and ecosystem processes than species identity per se (Mouchet et al., 2010).”
Effects of disturbance intensity on species and functional diversity in a tropical forest (2012, background): “FEve and FDiv scale from 0 to 1; a high value indicates more regularity and more deviation, respectively, in the distribution of abundance of individuals in this volume (Villeger, Mason & Mouillot 2008; Mouchet et al. 2010).”
Traits Without Borders: Integrating Functional Diversity Across Scales. (2016, methodology): “primary components (functional richness, functional evenness, and functional divergence) [13,14], each potentially represented by different indices [14,19,20].”
Moving beyond the guild concept: developing a practical functional trait framework for terrestrial beetles (2015, background): “There are a large number of possible indices, the choice of which will relate to data availability and study objectives, so we recommend Mouchet et al. (2010), Mason and Pavoine (2013) and Chiu and Chao (2014) for overviews.”
Trait matching of flower visitors and crops predicts fruit set better than trait diversity (2015, methodology): “We chose three complementary, uncorrelated, trait diversity indices (Lalibert e & Legendre 2010; Mouchet et al. 2010) and calculated these indices using the eight traits of flower visitors”
Thresholds in the relationship between functional diversity and patch size for mammals in the Brazilian Atlantic Forest (2015, methodology): “Among the various existing measures of functional diversity (see Mouchet et al., 2010), we choose the one proposed by Petchey & Gaston (2002, 2006), henceforth called FD.”
Functional diversity: a review of methodology and current knowledge in freshwater macroinvertebrate research (2016, result): “…and methodological definitions (Petchey et al., 2004; Botta-Dukát, 2005; Mason et al., 2005; Mouillot et al., 2005; Ricotta, 2005; Petchey & Gaston, 2006; Ricotta & Moretti, 2008; Villéger et al., 2008; Poos et al., 2009; Laliberté & Legendre, 2010; Mouchet et al., 2010; Schleuter et al., 2010).”