A distance-based framework for measuring functional diversity from multiple traits.

By Etienne Laliberté, Pierre Legendre. Ecology, 2010

3,867 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/f4a88d60b86900c31f0f6f5d72a184da075d6f00

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In Ecology

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Functional identity and diversity of animals predict ecosystem functioning better than species-based indices (2015, background): “1, [47]) using packages “nlme” [48], “MuMIn” [49], “FD” [10, 50], 310 “multcomp” [51] and our own R script.”
Functional diversity metrics using kernel density n-dimensional hypervolumes (2020, background): “FD primarily relies on convex hull for delineating the functional space (Laliberté & Legendre, 2010), although alternative formulations and indexes are implemented as well.”
Functional diversity: a review of methodology and current knowledge in freshwater macroinvertebrate research (2016, background): “They further defined functional dispersion as the spread of species within the functional space (see Laliberté & Legendre, 2010).”
A guide for using functional diversity indices to reveal changes in assembly processes along ecological gradients (2013, background): “Various indices measure both functional richness and divergence (Mouchet et al. 2010) – FDvar (Mason et al. 2003), Rao quadratic entropy (de Bello et al. 2010) and functional dispersion (Laliberte & Legendre 2010).”
Quantifying Functional Biodiversity (2011, methodology): “We have to mention that in this work FDis, the one proposed by Laliberté and Legendre (2010) to complement the other three was not included; neither the FSpe proposed by Villéger et al.”
Tree diversity is key for promoting the diversity and abundance of forest‐associated taxa in Europe (2020, methodology): “Functional diversity was calculated as abundance weighted functional dispersion, which measures the distance between tree species in multivariate trait space (Laliberté and Legendre 2010; using the function dbFD in the FD package in R; Laliberté 2014).”
Response diversity determines the resilience of ecosystems to environmental change (2013, methodology): “…response diversity (e.g. Laliberte et al., 2010; Karp et al., 2011), functional diversity is more often expressed as continuous gradients of different effect traits (e.g. Díaz & Cabido, 2001; Hooper et al., 2005; Petchey & Gaston, 2006; Hillebrand & Matthiessen, 2009; Laliberté & Legendre, 2010).”
Moving beyond the guild concept: developing a practical functional trait framework for terrestrial beetles (2015, background): “Traits are often both response and effect traits, and the choice of traits to measure for a given question is aided by considering this subjective classification (Laliberté & Legendre, 2010).”
Beyond species: functional diversity and the maintenance of ecological processes and services (2011, background): “Journal of Applied Ecology 2011 British Ecological Society, Journal of Applied Ecology explain the tendency for nutrient poor soils to foster high species diversity (Lambers et al. 2010).”
Climatic constraints on trait‐based forest assembly (2011, methodology): “We obtained theMaxEnt predictions using the ‘maxent’ function in the ‘FD’ library of r (Laliberté & Legendre 2010; Laliberté & Shipley 2010) with a tolerance level of 1 · 10)8.”