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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Mar 31, 2022
Brambilla, Mattia, 2022, "Species data with variables for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"", https://doi.org/10.13130/RD_UNIMI/ARAI8C, UNIMI Dataverse, V1, UNF:6:fWzea1VEkd8LVdkcHlXDAw== [fileUNF]
These files include species location and background points used for Species Distribution Models, with relative values of environmental variables used in the modelling procedure. Files are provided in CSV format and in RDS format (to be used in R for model running). The txt file i...
Mar 31, 2022
Brambilla, Mattia, 2022, "Raster files of climate refugia for single target species and multi-species refugia for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"", https://doi.org/10.13130/RD_UNIMI/ESCYNG, UNIMI Dataverse, V1
Raster files showing the spatial location of type 1 and type 2 multispecies refugia, and of type 1-2-3 refugia for the target species in the Alps. See the related paper "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions" for exp...
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