Summary of generalized linear mixed-effects models relating probability of koala suitable habitat as a function of environment and climatology in South Australia. Predictors include the following: veg (all vegetation variables, i.e., koala Eucalyptus – koalaeuc, other Eucalyptus – othereuc, and other vegetation); water (density of watercourses and distance to water bodies), temp.range (temperature range), elevation, roads (density of sealed and unsealed roads), and rain. Null represents the null model (i.e., without fixed effects). All models included an offset term for effort, and the generalized linear mixed-effects models also included a spatial random effect (2-km2 grid cell). Shown for each model are biased-corrected model probabilities based on weights of Akaike's information criterion corrected for small sample sizes (wAICc, only >0.001 shown), Bayesian information criteria (wBIC, only >0.001 shown), the percentage of deviance explained (%De), the cross-validation error (CVerror), and Cohen's κ and both marginal and conditional R2 (R2(m) and R2(c); Nakagawa and Schielzeth (2013)