Water birds play a crucial role in disseminating and amplifying avian influenza viruses (AIVs) in the environment. However, they may have limited interactions with domestic facilities, raising the hypothesis that other wild birds may play the bridging role in introducing AIVs into poultry. An ornithocoenosis study, based on census-transect and camera-trapping methods, was conducted in 2019 in ten poultry premises in northeast Italy to characterize the bird communities and envisage the species that might act as bridge hosts for AIVs. The data collected were explored through a series of multivariate analyses (correspondence analysis and non-metric multidimensional scaling), and biodiversity indices (observed and estimated richness, Shannon entropy and Pielou’s evenness). The analyses revealed a high level of complexity in the ornithic population, with 147 censused species, and significant qualitative and quantitative differences in wild bird species composition, both in space and in time. Among these, only a few were observed in close proximity to the farm premises (i.e., Magpies, Blackbirds, Cattle Egrets, Pheasants, Eurasian Collared Doves, and Wood Pigeons), thus suggesting their potential role in spilling over AIVs to poultry; contrarily, waterfowls appeared to be scarcely inclined to close visits, especially during autumn and winter seasons. These findings stress the importance of ongoing research on the wild–domestic bird interface, advocating for a wider range of species to be considered in AIVs surveillance and prevention programs.

The European wildcat is a threatened carnivore, whose ecology is still scarcely studied, especially in Mediterranean areas. In this study, we estimated activity rhythm patterns of this felid, by means of camera-trapping at three spatial scales: (i) whole country (Italy); (ii) biogeographical areas; (iii) latitudinal zones. The activity rhythms patterns were also calculated according to temporal scales: (1) warm semester; (2) cold semester and (3) seasonal scales. Lastly, we also tested whether the effect of moon phases affected the wildcat activity. We conducted the analysis on a total of 975 independent events collected in 2009–2021, from 285 locations, in ~ 65,800 camera days. We showed that the wildcat in Italy exhibits a > 70% nocturnal behaviour, with 20% of diurnal activity, at all spatial scales, and throughout the whole year, with peaks at 10.00 p.m. and 04.00 a.m. We observed a high overlap of wildcat activity rhythms between different biogeographical and latitudinal zones. The wildcat was mainly active on the darkest nights, reducing its activity in bright moonlight nights. Diurnal activity was greater in the warm months and decreased with the distance from shrubs and woodlands, most likely according to activity rhythms of its main prey, water presence in summer, the care of offspring and the availability of shelter sites. Conversely, the distance to paved roads seems to have no significant effects on diurnal activity, suggesting that, in presence of natural shelters, the wildcat probably may tolerate these infrastructures. We suggested limited plasticity in activity rhythm patterns of the wildcat, emphasizing the importance of dark hours for this species.

Wild aquatic birds are crucial in maintaining the high pathogenicity avian influenza (HPAI) viruses. However, the HPAI dynamic at the wild‐domestic interface is still poorly known, and a comprehensive understanding of species that could potentially act as a bridge between wetlands and poultry farms is still lacking. In this study, an eco‐epidemiological framework was used to build species distribution models for 40 wild bird species camera‐trapped at 10 poultry farms in northeastern Italy. The predicted wild bird favorability distributions were used to estimate HPAI outbreak occurrences in the area of interest, using an ensemble approach that included five methodologies: generalized linear model (GLM), generalized additive model (GAM), boosted regression trees (BRTs), random forest (RF), and maximum entropy (MaxEnt). The group of species that included most of the Ardeidae (i.e., great egret, purple heron, little egret, and cattle egret), one Galliformes (i.e., common pheasant), and one Gruiformes (i.e., common moorhen) showed the highest importance (IMP = 28%) in explaining the HPAI outbreak probability of occurrence in poultry, highlighting their potential bridging role between the reservoir species and the domestic populations. The second most important group of species (IMP = 17%) included one Anseriformes (i.e., mallard), two Charadriiformes (i.e., black‐headed gull and yellow‐legged gull), and one Ardeidae (i.e., gray heron), remarking their role in the disease ecology. These results underline the complex role of the wild‐domestic interface in the epidemiology of HPAI, suggesting that a broader range of species than what is typically considered might be involved in HPAI virus ecology. Including these groups of species in targeted surveillance programs would help in fine‐tuning sampling efforts and identifying early warning signals of possible transmission to poultry holdings.