Predictor Variables
We identified 30 predictor variables that were either previously linked to moose ecology or of interest to WLFN (Table 1). These variables fell into three broad categories: land cover, human features (or footprint), and burn area. Various land cover and human feature categories were combined based on their similar impacts (e.g., oil wells, gas wells, and other types of wells were all binned under “well”) or structures/functions (e.g., bogs and wetlands). We z-scaled all predictors (mean=0, s.d. = 1) before checking for spatial autocorrelation ( Zuur et al., 2010). We then calculated the area covered by each predictor within different buffer sizes surrounding camera locations from 250 to 5000m radii, sensu Fisher et al. (2011)