Table 4. A priori binomial regression models exploring the effect of time as a proxy for population density and prey biomass density on the probability of dispersal in subadult male leopards in Phinda Private Game Reserve, South Africa, 2002–2012.
Model | Model parameters | AICc | ΔAICc | w |
---|---|---|---|---|
Probability of male emigration | null | 32.52 | 0 | 0.27 |
Density (quadratic) | 32.64 | 0.12 | 0.25 | |
Prey biomass a | 32.9 | 0.38 | 0.22 | |
Density (linear) | 34.17 | 1.66 | 0.12 | |
Density (linear) + Prey biomass | 34.92 | 2.41 | 0.08 | |
Density (quadratic) + Prey biomass | 35.57 | 3.05 | 0.06 |
AICc = Akaike Information Criteria adjusted for small sample sizes; ΔAICc = (AICc)–(AICc)min; w = Akaike weight. Candidate models with ΔAICc < 2 (bold face) were used for model-coefficient averaging.
a Combined nyala, impala and warthog biomass density estimates derived from aerial count data in Phinda GR, 2002–2012.