Beta diversity as the variance of community data: dissimilarity coefficients and partitioning.

By Pierre Legendre, M. de Cáceres. Ecology Letters, 2013

1,349 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/0ff8b5e3c378520ccfc065c5dbc18acbdef02d98

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In Ecological Modeling

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Citations in the corpus

Relationships between forest cover and fish diversity in the Amazon River floodplain (2018, background): “…distinct land cover and environmental variables affected the relative contribution of the local habitats to β diversity (LCBD), which are comparative indicators of the ecological uniqueness of the sampled habitats for their contribution to β diversity (Legendre, 2014; Legendre & Cáceres, 2013).”
Bringing Elton and Grinnell Together: a quantitative framework to represent the biogeography of ecological interaction networks (2016, methodology): “More recent approaches decompose total variation of the community data into species and site contributions to beta diversity (Legendre & De Caceres, 2013), and further partition it into dissimilarity due to changes in species richness and dissimilarity due to actual species turnover (Baselga, 2010).”
Box–Cox‐chord transformations for community composition data prior to beta diversity analysis (2018, methodology): “The chord distance was first applied to community composition data by Orlóci (1967). The same year, Cavalli-Sforza and Edwards (1967) proposed a variant of the chord distance for the analysis of genetic data, where the relative frequencies are square-rooted before being used in the chord distance fo”
Interpreting the replacement and richness difference components of beta diversity (2014, neutral): “(2003), Legendre et al. (2005) and Anderson et al.”
Defining and evaluating predictions of joint species distribution models (2020, methodology): “JSDMs can predict community assemblages, which opens up a suite of potential evaluation metrics in the form of the dissimilarity indices widely used in community ecology (Legendre & De Cáceres, 2013).”
Bridging the variance and diversity decomposition approaches to beta diversity via similarity and differentiation measures (2016, methodology): “Therefore, we have the normalizedN-community Bray–Curtis dissimilaritymeasure: DBCnormðZ;MÞ ¼ PS i¼1 PN k¼1 zik ziþj j 2ð1 1=NÞzþþ ; eqn 13b which satisfies all essential properties of dissimilarity indices listed in Legendre & De C aceres (2013).”