Selecting predictors to maximize the transferability of species distribution models: lessons from cross‐continental plant invasions

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Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics (2018, background): “First of all, the importance of carefully selecting predictors according to the known ecology or physiology of the species of interest must be emphasized (Austin & Van Niel, 2011; Petitpierre et al., 2017; R€odder & L€otters, 2010; R€odder et al., 2009).”
Testing the ability of species distribution models to infer variable importance (2019, background): “Variable selection, niches, and distributions The present work builds upon yet is distinct from the critical problem of selecting ecologically relevant variables (Austin 2002; Austin & Van Neill 2011; Mod et al. 2016; Petitpierre et al. 2017; Araújo et al. 2019; Gardener et al. 2019).”
Forecasting the global extent of invasion of the cereal pest Spodoptera frugiperda, the fall armyworm (2018, background): “Using these variables increase accuracy and biological realism of projections of species distributions following invasion (also termed ‘transferability’(Petitpierre et al. 2017)).”
Outstanding Challenges in the Transferability of Ecological Models. (2018, background): “ecologically, and physiologically meaningful and therefore support transferability [73,94].”