TheEuropean wildcat is an elusive felid that is declining across its range.Sicily hosts a distinctive insular wildcat population, the conservation of which requires much better ecological knowledge than is currently available, particularly population density. We simultaneously used two noninvasive methods (camera‐trapping and scat‐collection) to estimate the population density of wildcats on theEtna volcano. We conducted genetic analyses to identify individuals and to detect potential hybridization with the domestic cat. We analyzed individual capture‐histories from camera‐trapping and scat‐collection using the spatially explicit capture‐recapture (SECR) model. Furthermore, we applied the random encounter model (REM), which does not require individual identification, to the camera‐trapping data. We identified 14 wildcats from 70 photographic detections (6.48 detections/100 trap‐days) obtained from 1080 camera‐trapping days over 4 months, and we estimated to have identified all the individuals living in the study area (10.9 km⁻²). On the contrary, we identified 10 wildcats from 14 out of 39 scats collected from 391 km of transects walked. The estimated densities (individuals km⁻² ± se) were 0.32 ± 0.1 (SECRcamera‐trapping), 1.36 ± 0.73 (SECRscat‐collection) and 0.39 ± 0.03 (REM). The population density estimates obtained fromSECRcamera‐trapping andREMoverlapped, although we recommend care when applying the latter. TheSECRscat‐collection gave the highest population density (and less precise) estimates because of the low number of capture and recaptures; however, the population size estimated with this method matched the number of individuals photographed. The population density of the wildcat inEtna falls in the medium‐high range of those reported in literature, highlighting the role of this ecosystem for the long‐term conservation of the wildcat inSicily. Camera‐trapping is confirmed as a useful tool to assess the wildcat population density and, in this case, was complemented by the genetic analysis that confirmed individual identity.

Knowledge of patterns of occupancy is crucial for planning sound biological management and for identifying areas which require paramount conservation attention. The European wildcat Felis silvestris is an elusive carnivore and is classified as ‘least concern' on the IUCN red list, but with a decreasing population trend in some areas. Sicily hosts a peculiar wildcat population, which deserves conservation and management actions, due to its isolation from the mainland. Patterns of occupancy for wildcats are unknown in Italy, and especially in Sicily. We aimed to identify which ecological drivers determined wildcat occurrence on Mt Etna and to provide conservation actions to promote the wildcats’ long-term survival in this peculiar environment. The genetic identity of the wildcat population was confirmed through a scat-collection which detected 22 different wildcat individuals. We analysed wildcat detections collected by 91 cameras using an occupancy frame work to assess which covariates influenced the detection (p) and the occupancy (ψ) estimates. We recorded 70 detections of the target species from 38 cameras within 3377 trap-days. Wildcat detection was positively influenced by the distance to the major paved roads and negatively affected by the presence of humans. Wildcat occupancy was positively associated with mixed forest and negatively influenced by pine forest, fragmentation of mixed forest and altitude. A spatially explicit predicted occupancy map, validated using an independent dataset of wildcat presence records, showed that higher occupancy estimates were scattered, mainly located on the north face and at lower altitude. Habitat fragmentation has been claimed as a significant threat for the wildcat and this is the first study that has ascertained this as a limiting factor for wildcat occurrence. Conservation actions should promote interconnectivity between areas with high predicted wildcat occupancy while minimising the loss of habitat.

Although the behavioural ecology of the European wildcat (Felis silvestris silvestris) has been studied in several European countries, its home-range size is still poorly known due to elusive behaviour of the species living in typically low population densities. In our study, 11 wildcats from two distinct areas, the Maremma Regional Park (Tuscany; 3 males and 1 female) and the Paradiso di Pianciano Estate (Umbria; 6 males and 1 female), both located in Central Italy, were studied by means of classical VHF radio-tracking. Home ranges were calculated by means of the Brownian bridge movement model (BBMM). Variables significantly affecting home-range size were: study area, gender and the interaction between gender*age. The potential effect of the reproductive season and the nocturnal period was not supported. The main findings indicate that: (1) home-range sizes in Tuscany were larger than those in Umbria; (2) home-range size was positively related to the age of individuals; (3) males exploited larger home ranges than females in all age-classes except for the sub-adult age-class; this latter pattern has never emerged from any previous wildcat radio-telemetry study. Population density, different management regimes in the areas considered and the local abundance of prey may explain differences in home-range sizes between the study areas. The estimated home ranges of wildcats in Umbria were slightly larger than those reported across Europe, while those calculated in the Tuscan study area were significantly greater.