Benford’s law (BL) specifies the expected digit distributions of data in social sciences, such as demographic or financial data. We focused on the first-digit distribution and hypothesized that it would apply to data on locations of animals freely moving in a natural habitat. We believe that animal movement in natural habitats may differ with respect to BL from movement in more restricted areas (e.g., game preserve). To verify the BL-hypothesis for natural habitats, during 2015–2018, we collected telemetry data of twenty individuals of wild red deer from an alpine region of Austria. For each animal, we recorded the distances between successive position records. Collecting these data for each animal in weekly logbooks resulted in 1132 samples of size 65 on average. The weekly logbook data displayed a BL-like distribution of the leading digits. However, the data did not follow BL perfectly; for 9% (99) of the 1132 weekly logbooks, the chi-square test refuted the BL-hypothesis. A Monte Carlo simulation confirmed that this deviation from BL could not be explained by spurious tests, where a deviation from BL occurred by chance.

Rising numbers of wild ungulates in human‐dominated landscapes of Europe can induce negative effects like damages to forests. Therefore, effective wildlife management, including harvesting through hunting is becoming increasingly important. However, current hunting practices often fail to diminish those negative effects, as many ungulate species retreat to areas unsuitable for hunting. This predator–avoidance behaviour makes it difficult to fulfill the demand of reducing population numbers. Thus, there is an urgent need for innovative and effective wildlife management tools to counteract this problem. Here we provide for the first time a hunting suitability model for wild ungulate management in mountainous landscapes to visualise hunting suitability objectively and realistically. Using red deer as a model species, we modelled hunting suitability with high spatial resolution (10 × 10 m), based on remote sensing information, field surveys and expert knowledge of professional hunters. We analysed spatio–temporal habitat selection by radio‐collared deer in relation to locations of varying hunting suitability. The suitability of various locations regarding hunting influenced the spatio–temporal habitat selection by this species, consistent with our hypothesis. Red deer avoided areas suitable for hunting during daylight hours in the hunting season, but not during the night. This species seems to perceive a landscape of heterogeneous anthropogenic predation risk, shaped by locations of various hunting suitability, as we modelled it. This confirms the empirical realism of the model. Concerning wild ungulate management, our hunting suitability model provides high‐resolution predictions of where species like red deer will retreat when perceived anthropogenic predation risk increases. The model also yields useful insights regarding the hunting suitability of particular locations, which is valuable information especially for non‐locals. Furthermore, the model can serve as planning tool to inform decisions about where particular hunting strategies can be performed most efficiently to manage wild ungulates and therefore minimize human–wildlife conflicts.

Increasing numbers of wild ungulates in human-dominated landscapes in Europe could lead to negative effects, such as damages to forests through browsing. To prevent those effects and, thus, mitigate wildlife-based conflicts while ensuring viable ungulate populations, sustainable management is required. Roe deer, as the most abundant cervid species in Europe, is primarily managed via hunting to decrease population densities through harvesting. Besides direct mortality, non-lethal effects of hunting activities further affect the spatial habitat selection for this species. Accordingly, the spatial distribution of hunting locations might influence game impact on forest vegetation. To examine these relationships in more detail, we linked the spatial distribution of hunting locations for roe deer with forest damage through browsing 20 regions in Upper Austria. Consistent with our hypothesis, an avoidance of forests by hunters was found in regions with <20% forest cover and intolerable browsing impact. When hunters in certain regions, however, used forests according to their availability, game impact on forest vegetation was tolerable. Although forest damage by ungulates depends on numerous factors, we conclude that careful consideration of hunting locations might be an additional approach to reduce browsing intensity by roe deer, at least in regions with low forest cover.

Sexual dimorphism is a widespread phenomenon among mammals, including carnivorans. While sexual dimorphism in golden jackals (Canis aureus) has been analysed in the past, in the related and apparently convergent canid, the African wolf (Canis lupaster), it is poorly studied and showed to be relatively small. Previously, sexual size dimorphism (SSD) research in these species was mostly based on skull and body measurements. In our study, we also included dental measurements, namely the diameter of the canine. We used 11 measured sections of 104 adult specimens, comprising 61 golden jackal and 43 African wolf skulls. Data analyses were carried out through logistic regression and conditional inference trees (CIT). To compare the results of SSD to other species, sexual dimorphism indices (SDI) were calculated. Golden jackals and African wolves show significant sexual size dimorphism, both in cranial and dental size. The logistic regression revealed that the mesiodistal diameter of the upper canine is most effective in discerning the sexes. The difference in the calculated SDI of the canine diameter between the sexes amounted to 8.71 in golden jackals and 14.11 in African wolves, respectively—with regional diversity. Thus, the canine diameter is an important measure to investigate SSD as well as an easy tool to apply in the field.