ANALYZING BETA DIVERSITY: PARTITIONING THE SPATIAL VARIATION OF COMMUNITY COMPOSITION DATA

By Pierre Legendre, D. Borcard, P. Peres‐Neto. 2005

1,291 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/d97009d8fea656c2bf11508d16c17f8a87bc5985

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

A latent threat to biodiversity: consequences of small-scale heterogeneity loss (2010, methodology): “This definition, rather than c/a (Whittaker 1960; Legendre et al. 2005; Ricotta 2008), was used as the latter more accurately represents species turnover rather than within-site heterogeneity.”
Multiple regression on distance matrices: a multivariate spatial analysis tool (2007, methodology): “…to partition variation in species abundances into spatial and environmental components, this practice should be abandoned in favor of canonical ordination (Legendre et al. 2005), particularly in light of recent improvements to ordination methods (Legendre and Gallagher 2001; Borcard et al. 2004).”
PAPER Community assembly processes shape an altitudinal gradient of forest biodiversity (2013, methodology): “Furthermore, we calculated variance-based b-diversity (bv) as proposed by Legendre et al. (2005), which is suitable for comparisons of the average community dissimila-”
Beta diversity of stream fish assemblages: partitioning variation between spatial and environmental factors (2017, methodology): “, 2011; Tuomisto, 2010b) using canonical analysis to determine how species composition is a function of environmental and spatial factors, both together and separately (Legendre, 2008; Legendre et al., 2005).”
Bringing Elton and Grinnell Together: a quantitative framework to represent the biogeography of ecological interaction networks (2016, background): “Metrics of beta diversity quantify the variance of this community data (Legendre et al., 2005).”
Patterns of elevational beta diversity in micro‐ and macroorganisms (2012, methodology): “Third, we partitioned beta diversity into spatial (including elevation and horizontal distance), environmental and anthropogenic components (human impact) using canonical redundancy analysis (RDA) following the procedures described in Legendre et al. (2005, 2009).”
The spatial distribution of birds and carabid beetles in pine plantation forests: the role of landscape composition and structure (2007, positive): “Previous studies have used canonical correspondence analysis with variation partitioning to separate between the confounding effects of space and environmental variation (Hobson et al., 2000; Heikkinen et al., 2004; Titeux et al., 2004; Legendre et al., 2005).”
Determining the relative roles of species replacement and species richness differences in generating beta‐diversity patterns (2012, background): “A considerable number of approaches have been used to study beta-diversity patterns (Magurran, 2004; Legendre et al., 2005).”
Plant communities of the ironstone ranges of South Western Australia: hotspots for plant diversity and mineral deposits (2010, methodology): “We assessed the contribution of topographical variables and spatial variables to species richness and community composition (via a Bray‐Curtis dissimilarity matrix) using partial redundancy analysis following methods of Legendre et al. (2005) using adjusted R 2 to provide an unbiased estimate of t”
Relative roles of niche and neutral processes in structuring a soil microbial community (2010, methodology): “dispersal limitation) and environmental factors on regulating AM fungal community composition and structure; partitioning of b-diversity based on raw species abundance data and Mantel tests based on distance dissimilarity matrices (Legendre et al., 2005; Tuomisto and Ruokolainen, 2006).”