Table 4. Models fitted to the number of wolves culled per year.
| AIC | ΔAIC | AICw | ß ± SEa | P | |
|---|---|---|---|---|---|
| null | 110.7 | 9.7 | 0 | ||
| packs + compensations + news | 102.7 | 1.7 | 0.30 | ||
| compensations + news | 101 | 0 | 0.70 | ||
| Variables retained | |||||
| compensations | 0.001 ± 0.0002 | 0.006 | |||
| news | 0.053 ± 0.018 | 0.008 |
GLMM models with negative binomial distribution and zone as random factor; N = 28 (four years, seven zones). 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 model. Variables: packs, number of wolf packs; compensations: cost of complaints due to livestock depredation by wolves (€); news: number of news published on livestock damages by wolves.