The pairwise approach to analysing species co‐occurrence

By J. Veech. 2014

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Disentangling biotic interactions, environmental filters, and dispersal limitation as drivers of species co‐occurrence (2018, background): “More recent approaches view individual species pairs as a more informative unit of co-occurrence, allowing for a classification of all of the unique species pairs in an assemblage as random, aggregated, or segregated (Boulangeat et al. 2012, Gotelli and Ulrich 2012, Veech 2014).”
Co-occurrence is not evidence of ecological interactions. (2020, background): “…relationships based on the incidence matrix: for each pair of species, the two vectors of occurrence and an optional set of covariates (e.g. abiotic factors, species abundances) are combined to compute statistical associations (Veech, 2014; Morueta-Holme et al., 2016; Mandakovic et al., 2018).”
Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context (2017, methodology): “…methods for assessing species’ co-occurrences include distance-based ordination approaches (Legendre & Legendre 2012), pairwise co-occurrence approaches (Veech 2014), metrics measuring species’ aggregation and segregation patterns (Stone & Roberts 1990), and null model approaches (Gotelli 2000).”