Species data with variables for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions" ...
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 includes the code for...
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Format: | Dataset |
Language: | unknown |
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UNIMI Dataverse
2022
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Online Access: | https://dx.doi.org/10.13130/rd_unimi/arai8c https://dataverse.unimi.it/citation?persistentId=doi:10.13130/RD_UNIMI/ARAI8C |
Summary: | 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 includes the code for running the main models (MaxEnt) shown in the paper and used to identify climate refugia. The data have been provided by different institutions and have been used under a specific licence for the current study; restrictions hence apply to their availability. Data are made available by the authors in agreement with providing insitutions, but any further use requires the permission of the third parties involved in data provision. For rock ptarmigan, which is a quarry species in many Alpine regions despite the concerning conservation status, coordinates are not provided because of conservation reasons. All data have a spatial resolution of 1 km, and the coordinate reference system is EPSG 3035. See the text of the ... |
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