A general framework for analyzing beta diversity, nestedness and related community-level phenomena based on abundance data

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Partitioning taxon, phylogenetic and functional beta diversity into replacement and richness difference components (2014, unknown): “For quantitative data, such as edge lengths, Jaccard dissimilarity is in fact a generalization to the Marczewski–Steinhaus coefficient of dissimilarity that is often used in multivariate analysis (Podani et al., 2013).”
Interpreting the replacement and richness difference components of beta diversity (2014, methodology): “…replacement, richness (or abundance) difference and nestedness indices (Williams, 1996; Lennon et al., 2001; Cardoso et al., 2009; Baselga, 2010, 2012, 2013a; Podani & Schmera, 2011; Schmera & Podani, 2011; Carvalho et al., 2012, 2013; Podani et al., 2013); index notations differed among papers.”
Relationships between forest cover and fish diversity in the Amazon River floodplain (2018, methodology): “Fishes with equilibrium life- history strategies, such as the TABLE 3 Results of constrained analysis of principal coordinates (CAP) for β diversity components (βreplacement, βabundance difference and βTotal, Legendre, 2014; Podani et al., 2013) of local catchments in the lower Amazon floodplain (a”