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Additional file 2. Examples of Google Earth satellite imagery of the identified anthropogenic food sources in the Austrian Alps.

Additional file 7. Model averaging outputs for the top models based on ∆AICc

Additional file 6. Spatial distribution of the 81 GPS tagged ravens appearing in the dataset in the Austrian Alps. The coloured polygons represent the different individuals’ 95% occurrence distributions in relation to the location of 45 anthropogenic food sources that were identified in this area, grouped by resource type. Major cities are indicated as white and black circles. The box in the upper left corner shows the field site in Austria and the countries neighbouring Austria. Thick black lines show the country borders.

Additional file 5. The top-ranking models for (a) the occurrence distribution, (b) average maximum daily displacement, (c) the number of anthropogenic food sources (AFSs) visited and (d) the probability of being at any AFS of raven, Corvus corax, individuals tracked in the Austrian Alps from a cut-off at ΔAICc ≤ 6 (Akaike’s Information Criterion corrected for small sample sizes). The global model for all response variables included sex, origin (i.e., wild-caught, captive-released), age class (i.e., juvenile, adult), season (i.e., autumn, winter, spring, summer) and year as fixed factors. Models (a), (b) and (c) included the ratio of the number of GPS fixes to tracking days for each individual-season combination as a fixed factor. Individual identity was included as the random factor in all models. We included an additional observation-level random effect (ORLE) in model (d) to account for overdispersion. The number of model parameters (Df), log-likelihood (logLik), AICc, ∆AICc, and model weights (ώi) are presented.

Table S1. Table of habitats found in the study area and Eurasian kestrel territories. Figure S2. Figure showing the relationship between territory land cover heterogeneity and percentage of farmland area in kestrel territories. Figure S3. Figure showing the periodic 3-year vole cycle over the entire long-term survey period from 1973 to 2015. S4 Material and Methods. Blood parasite infection. Table S5. Table of Primer set Falconidae: Repeat motif and primer sequences for 24 microsatellites. S6 Material and Methods. Individual genetic heterozygosity. Table S7. Candidate list for parameters influencing the timing of breeding (Julian day of egg-laying) and nestling survival (ratio of eggs that fledged successfully) in Eurasian kestrels; and complete model list following AICc ranking and model weights. Figure S8. Figure of spatial distribution of ‘individual quality’ indices quantified in male and female kestrels. Figure S9. Figure of least square means post-doc contrasts of the interaction term age of the breeding adult, and the vole cycle, influencing nestling survival in Eurasian kestrels. (PDF 508 kb)

Table S1. Table of habitats found in the study area and Eurasian kestrel territories. Figure S2. Figure showing the relationship between territory land cover heterogeneity and percentage of farmland area in kestrel territories. Figure S3. Figure showing the periodic 3-year vole cycle over the entire long-term survey period from 1973 to 2015. S4 Material and Methods. Blood parasite infection. Table S5. Table of Primer set Falconidae: Repeat motif and primer sequences for 24 microsatellites. S6 Material and Methods. Individual genetic heterozygosity. Table S7. Candidate list for parameters influencing the timing of breeding (Julian day of egg-laying) and nestling survival (ratio of eggs that fledged successfully) in Eurasian kestrels; and complete model list following AICc ranking and model weights. Figure S8. Figure of spatial distribution of ‘individual quality’ indices quantified in male and female kestrels. Figure S9. Figure of least square means post-doc contrasts of the interaction term age of the breeding adult, and the vole cycle, influencing nestling survival in Eurasian kestrels. (PDF 508 kb)