Table 1.
Species | Hypothesis—Predator occurrence best explained by | Predictor variables |
---|---|---|
Mesocarnivore 1 | Habitat | Significant forest cover variables from step 1 |
Anthropogenic features | Linear density (LD) + Habitat | |
Seasonality | Snow + Habitat | |
Apex predator | Wolf + Habitat | |
Wolf + Snow + Habitat | ||
Wolf × Snow + Habitat | ||
Wolf + LD + Habitat | ||
Wolf × LD + Habitat | ||
Intraguild competition | Mesocarnivore2 + Habitat | |
Mesocarnivore2 + Snow + Habitat | ||
Mesocarnivore2 × Snow + Habitat | ||
Mesocarnivore2 + LD + Habitat | ||
Mesocarnivore2 × LD + Habitat | ||
Predation opportunities | Prey + Habitat | |
Prey + Snow + Habitat | ||
Prey × Snow + Habitat | ||
Prey + LD + Habitat | ||
Prey × LD + Habitat | ||
Black bear | Habitat | Significant forest cover variables from step 1 |
Anthropogenic features | LD + Habitat | |
Apex predator | Wolf + Habitat | |
Wolf + LD + Habitat | ||
Wolf × LD + Habitat | ||
Predation opportunities | Prey + Habitat | |
Prey + LD + Habitat | ||
Prey × LD + Habitat |
Models were negative binomial GLMs at the spatial‐only scale, and binomial GLMMs at the two spatiotemporal scales. Each model set corresponds to a hypothesized interspecific interaction. We tested models with co‐occurring species as a predictor variable against three base models describing environmental effects. Candidate model sets for mesocarnivores (coyote and lynx) are identical, with mesocarnivore 1 describing the responding predator and mesocarnivore 2 describing the co‐occurring intraguild competitor (e.g., when mesocarnivore 1 is coyote, mesocarnivore 2 is lynx and vice versa). At the spatial‐only scale of analysis, we excluded season models for all species because the response variable aggregated detections across the entire survey period.