Species distribution models

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Residual spatial autocorrelation in macroecological and biogeographical modeling: a review (2019, methodology): “…dispersal, predation, disturbance, inter-specific interactions, colonial breeding, home-range size, host availability, 2 parasitization risk, metapopulation dynamics, history) that are inherent to the species data (Dormann, 2007a ; Kissling and Carl, 2008; Miller, 2012; Crase et al., 2014).”
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels (2019, background): “…is to include spatial predictors or covariance structures that control for the variation in the data that cannot be attributed to the variation in observed abiotic or biotic environmental conditions (Augustin et al. 1996, Dormann 2007, Dormann et al. 2007, Miller 2012; Table 2, Feature E).”