Model selection to assess the effects of age, mate replacements and diet on the productivity of breeding successful pairs.

<p>Model definition enumerates the fixed effects considered in the GLMMs. All models included territory and year nested by population as random effects.</p><p>*Best model AIC_c<b> = </b>174.899.</p><p>Note: OC = rabbit consumption; AR = partridge consumption; H′ = diet diversity; PS_i = prey consumption specificity. Parameters’ interactions are denoted by (*), while (²) indicates a quadratic effect. ΔAIC_c refers to the difference in the corrected Akaike Information Criteria (AIC_c) between model <i>i</i> and the model with the lowest (AIC_c) (i.e. the best model). Models with ΔAIC_c <2 are shown in bold type. The Akaike weights (AIC_cw) explains the probability that a given candidate model is the best of the proposed set, so the sum of all the models is 1.0. R²_GLMM(m) estimates model fit using fixed effects only, while R²_GLMM(c) estimates model fit including both fixed and random effects.