Data related to Brambilla, M., Rubolini, D., Appukuttan, O., Calvi, G., Karger, D. N., Kmecl, P., Mihelič, T., Sattler, T., Seaman, B., Teufelbauer, N., Wahl, J., & Celada, C. (2022). Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions. Global Change Biology, 28, 4276–4291. https://doi.org/10.1111/gcb.16187
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Plain Text - 9.5 KB - MD5: b6e43d56219376d06d131bd6b0fbee08
R codes to run the paper's main SDM (MaxEnt) models
Tabular Data - 5.7 MB - 1 Variables, 55983 Observations - UNF:6:FJRaSdJafw8ejPRAx2KxhA==
CSV file used for distribution modelling, including location of occurrence and background points and relative environmental characteristics
Tabular Data - 4.7 MB - 1 Variables, 53990 Observations - UNF:6:D2s28hbhNZ8XCh7BAbZxdg==
CSV file used for distribution modelling, including occurrence and background points and relative environmental characteristics. Coordinates are not shown because of conservation reasons.
Tabular Data - 6.4 MB - 1 Variables, 62601 Observations - UNF:6:JQIP5RGENJaZO3Y7gwtxxg==
CSV file used for distribution modelling, including location of occurrence and background points and relative environmental characteristics
Tabular Data - 5.4 MB - 1 Variables, 52901 Observations - UNF:6:7hCN3yT/cOvFRDQyLSxYmg==
CSV file used for distribution modelling, including location of occurrence and background points and relative environmental characteristics
Gzip Archive - 2.5 MB - MD5: 5303e86a3bc19f2ef1b152cbbc43d9e6
SWD file (RDS format) for running MaxEnt model in R
Gzip Archive - 2.7 MB - MD5: 1d97b0d8a4b6be9fcdfeff0577ce0151
SWD file (RDS format) for running MaxEnt model in R
Gzip Archive - 2.5 MB - MD5: d2cce861b9a8d4b5012297f4e80b3837
SWD file (RDS format) for running MaxEnt model in R
Gzip Archive - 2.5 MB - MD5: bdf5aed8bb4fb00414b925ba0f45c7d3
SWD file (RDS format) for running MaxEnt model in R
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