Table 3. Models fitted to beehives damaged by bears, and to livestock heads depredated by wolves.
| beehivesb | AIC | ΔAIC | AICw | ß ± SEa | P |
| null model | 411.5 | 17.3 | 0 | ||
| Fcub + Fcub-1 + year | 395.7 | 1.5 | 0.32 | ||
| Fcub-1 + year | 394.2 | 0 | 0.68 | ||
| Variables retained | |||||
| Fcub-1 | 0.27 ± 0.12 | 0.03 | |||
| year | 0.14 ± 0.04 | 0.002 | |||
| depredationc | |||||
| null model | 733.1 | 25 | 0 | ||
| packs+culled+culled-1 +ungulates-1 +livestock | 711.1 | 3 | 0.13 | ||
| packs +culled +culled-1 +ungulates-1 | 709.5 | 1.4 | 0.29 | ||
| packs +culled +culled-1 | 708.1 | 0 | 0.58 | ||
| Variables retained | |||||
| packs | 0.06 ± 0.03 | 0.08 | |||
| culled | 0.09 ± 0.02 | 0.001 | |||
| culled-1 | 0.07 ± 0.02 | 0.001 |
GLMM models with negative binomial distribution and zone as random factor. AIC is Akaike Information Criterion; ΔAIC is the difference between best model (lowest AIC) and each candidate model; AICw are AIC weights.
a Estimate and standard error for the variables retained in the best models.
bN = 36; 18 years, two zones.
cN = 56; 8 years, 7 zones.
Variables: Fcub, number of bear females with cubs of the year; Fcub-1, number of bear females with cubs of the year in the previous year; packs, number of wolf packs in the current year; culled, number of wolves killed in the current year; culled-1, number of wolves killed in the previous year; ungulates-1, number of ungulates shot in the previous year; livestock, heads of livestock present in the current year.