Data S1. List of environmental variables, data sources and resolutions used for model selection and building the empirical model.

Data S2. Logistic regression using the Generalized index with the quasi-Newton optimization algorithm L-BFGS-B.

Data S3. Visual Basic.Net code of the function calculating the Gaussian-index on grid maps in ArcGIS.

Table S1. Results of models from empirical data using different buffer radii and using different distance weightings: Habitat area, Proximity index, Root index and Gaussian index.

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