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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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FilenameFormatSizeDescription
MEE3_130_sm_Visual-Basic-S3.pdf223KSupporting info item
MEE3_130_sm_ListS1.pdf170KSupporting info item
MEE3_130_sm_indexR-S2.pdf113KSupporting info item
MEE3_130_sm_results-models-S4.pdf144KSupporting info item

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