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We model the occurrence of European wild rabbit in fragmented environments in a mountainous area of northwestern Spain (Gerês–Xurés Biosphere Reserve). We carried out a field survey by sampling the presence/absence of pellets in 237 plots (100 × 100� m) selected at random below an altitude of 800� m. For modelling purposes, we considered eight predictors related to vegetation, topography, human influence and heterogeneity. We obtained vegetation and ecological predictors from land use/land cover maps derived from Landsat Enhanced Thematic Mapper Plus images (acquired at the same time as the field data) and calculated vegetation indices by using a supervised classification method. We obtained topographical predictors from a Global Digital Elevation Model (GDEM) and used a generalized linear model to describe the occurrence of the European wild rabbit. The overall accuracy of the Landsat-derived map in Baixa Limia was 87.51� %, and the kappa coefficient was 0.85. The most parsimonious model included “grassland and crops”, “mean slope”, “distance to roads”, “urban settlements” and “ecotone scrubland-forest”. Five predictors were consequential, three of them with a positive sign for the presence of the species (scrub, urban settlements and ecotone scrubland-forest) and two with a negative sign (mean slope and distance to roads). The information on habitat requirements of European wild rabbit in the area provides a good framework for determining the habitat requirements of this keystone species in mountainous ecosystems in northwestern Iberian Peninsula.
