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Evaluating presence and habitat requirements of small carnivores is essential for their conservation. The Eurasian pine marten Martes martes, often described as a habitat specialist associated primarily with forest habitats, has been recently found to live even in patchily wooded country and in shrublands. We evaluated the environmental factors that determine the distribution of the pine marten in a Mediterranean landscape on the island of Sardinia (central Italy). Camera trapping sessions and scat surveys were carried out to assess the presence of the species, then a potential distribution model was developed using ecological niche factor analysis (ENFA), which requires only presence data. The pine marten selected highest altitudes, shrublands, rocky areas, and woodlands, and avoided urban areas and arable lands. Our results indicate that pine marten distribution in our study area is constrained by these variables. The ENFA analysis provided important clues about the distribution range of M. martes and its preferential environmental conditions, updating knowledge of its ecological requirements in Italy.
We studied the factors affecting the distribution of an endemic shrewSorex samniticus Altobello, 1926 in the Province of Siena, central Italy. Distribution data were obtained by examining pellets from 31 barn owlTyto alba sites (roosts) over a period spanning from 1974 to 2005. We constructed a model using logistic regression analysis on presence/absence data. Results show that an increase in forest dominated byQuercus cerris andCastanea sativa led to the local extinction of this species. Results were confirmed through the examination of one box, with 3044 prey items deposited in layers, that documents the expansion of the species in that area following increased logging ofQuercus cerris andCastanea sativa forests. Cessation of logging has again led to the absence of the species from the area. We discuss these results from the perspective of ecological network planning, showing that utilisation of non-detailed maps, such as Corine Land Cover, that do not distinguish between the various kind of broadleaved forests is inadequate to describe the finer grade of habitat selection of this small mammal.
I analyzed the habitat selection of two Alpine marmots Marmota marmota (Lin­naeus, 1758) populations (A and B) re-introduced in the Friulian Dolomites Natural Park (Eastern Italian Alps) in 1977 and 1983 respectively. Population A showed a higher density of family units than the more recently introduced and still increasing population B. I mapped winter burrows and I conferred proportions of usage of habitat types with their availability by the Jacobs index. Population B positively selected fewer types of habitat than population A, and particularly selected those habitat types more strongly selected by A. Through stepwise discriminant function analysis and oneway ANOVA, I analyzed the characteristics of the winter burrow surroundings, by splitting up the two study areas into sample squares covering 1 ha each. The importance of the alpine meadows and pastures was subordinate to the presence of rocks, especially in the pastures. Comparing the results obtained separately for the two populations, the more recent and less dense population showed a more restrictive habitat and slope selection, in accordance with the ideal free distribution theory. In order to validate the habitat suitability model obtained by discriminant analysis I applied it to two other populations of Alpine marmots present in FDNP and in the Julian Prealps Natural Park.
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