GENERAL INFORMATION 1. Title of Dataset: Bern Landscape Change Explorer Species Habitat Suitability Simulations. 2. Author Information A. Principal Investigator Contact Information Name: Manuel Kurmann Institution: Institute for Spatial and Landscape Development, Swiss Federal Institute of Technology (ETH) Address: HIL H 52.1, Stefano-Franscini-Platz 5 CH-8093 Zürich, Switzerland Email: mankurma@ethz.ch B. Additional researcher Contact Information Name: Benjamin Black Institution: Institute for Spatial and Landscape Development, Swiss Federal Institute of Technology (ETH) Address: HIL H 52.1, Stefano-Franscini-Platz 5 CH-8093 Zürich, Switzerland Email: bblack@ethz.ch C. Additional researcher Contact Information Name: Isabel Nicholson Thomas Institution: Institute for Spatial and Landscape Development, Swiss Federal Institute of Technology (ETH) Address: HIL H 52.1, Stefano-Franscini-Platz 5 CH-8093 Zürich, Switzerland Email: inthomas@ethz.ch 3. Date of data collection: 2025-06-01 > 2026-01-1 4. Geographic location of data: Switzerland SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: Creative Commons Attribution 4.0 International 2. Recommended citation for this dataset: Kurmann, M., Black, B., & Nicholson Thomas, I. (2026). Bern Landscape Change Explorer Species Habitat Suitability Simulations (Version 1.0.0) [Data set]. ETH Zurich. https://doi.org/10.5281/zenodo.18326626 DESCRIPTION/REPRODUCIBILITY: - This dataset contains rasters of Species habitat suitability scenarios for the Bern Landscape Change Explorer project. - All rasters are projected in the CH1903+ / LV95 coordinate reference system and share the same extent and resolution (1 hectare). - For detailed descriptions of the data generation process, raster value interpretation and suggested colour scheme, please refer to the accompanying metadata files: - BeschreibungMetadatenHabitateignung.pdf- MetadataDescriptionHabitatSuitability.pdf- DescriptionMetadonneesAdequationHabitat.pdf This dataset contains raster files on habitat suitability. The projections are available in five-year increments for the period from 2025 to 2060. Each projection combines three climate scenarios and five land use scenarios. The climate scenarios control future climatic conditions, while the land use scenarios control the spatial distribution of land use classes in the future. Land use is then applied as a filter by setting habitat suitability in raster cells to zero if the land use there is considered unsuitable for the species in question. A total of 6600 files are available for all combinations of year, climate scenario, land use scenario, species list, and taxonomic group. The file names follow the pattern: sdm------canton.tif Example: sdm-2025-ssp126-ei_cul-uzl-amphibians-canton.tif Category Options --------------------------------------------------------------------------------------------------------------- Year 2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060 Climate scenarios rcp26, rcp45, rcp85 Land use change rates scenarios bau, ei_cul, ei_nat, ei_soc, gr_ex Species list uzl, npa, uzl_npa Taxonomic group all, amphibians, beetles, birds, butterflies, caddisflies, dragonflies, fungi, grasshoppers, lichens, mayflies, mammals, mosses, neuropterans, reptiles, snails_bivalves, stoneflies, stoneworts, vascular plants, wild bees