. . . . "The incorporation of local variables into SDMs at fine grains is key to predict local abundance. SDMs worked out at really fine grains, approaching the average size of territory or home range of target species, are needed to predict local abundance effectively." . "This may result from the fact that each single cell may represent a potential territory/home range, and hence a higher suitability over a given area means that more potential territories occur there." . "Empirical evidence on 14 bird species in Lombardy that fine-grain SDMs predict local abundance much better than coarse-grain ones: at 1 ha grain (home-range scale), 62% of species had a significant suitability-abundance effect; at 1 km only one did. Grain was the only factor significantly affecting explanatory power. Supports the case that DestinE Climate DT's higher resolution opens new operational possibilities for biodiversity work." . . . "Anne Fouilloux" . "2026-05-21T08:34:31.030Z"^^ . . . . . "Paper annotation: The incorporation of local variables into SDMs at fine grains is key to predict local abundance. SDMs worked out at really fine grains, approaching the average size of territory or home range of target species, are needed to predict local abundance effectively." . . "RSA" . "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" . "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" . . .