Table 5.
Summary of logistic regression (binomial distribution) models indicating degrees of freedom, AICc, ∆AICc, and model weight for disturbance covariates influencing red panda habitat use in the study site
Model | df | AICc | ∆AICc | Model weight | |
---|---|---|---|---|---|
Lan + Pre +Fal + Pla +Inf | 6 | 81.4 | 0 | 0.337 | |
Lan + Fal +Pla + Liv +Inf | 6 | 82.2 | 0.77 | 0.229 | |
Lan + Pre +Pla + Liv +Inf | 6 | 82.5 | 1.05 | 0.199 | |
Lan + Pre +Fal + Pla +Liv + Inf | 7 | 83.8 | 2.33 | 0.105 | |
Lan + Pre +Fal + Liv +Inf | 6 | 85.2 | 3.8 | 0.05 | |
Dea + Lan +Pre + Fal +Pla + Liv +Inf | 8 | 86.1 | 4.67 | 0.033 | |
Pre + Fal +Pla + Liv +Inf | 6 | 86.5 | 5.11 | 0.026 | |
Lan + Pre +Fal + Pla | 5 | 87 | 5.6 | 0.021 |
Covariates: Dea, dead bamboo; Fal, fallen log; Inf, infrastructure; Lan, landslide; Liv, livestock; Pla, plant disturbance; Pre, predator