GENERAL INFORMATION 1. Title of Dataset: Bern Landscape Change Explorer Ecosystem Service Provision Simulations. 2. Author Information A. Principal Investigator 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 B. Additional researcher 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 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: Black, B., Kurmann, M., & Nicholson Thomas, I. (2026). Bern Landscape Change Explorer Ecosystem Service Provision Simulations (Version 1.0.0) [Data set]. ETH Zurich. https://doi.org/10.5281/zenodo.18325820 DESCRIPTION/REPRODUCIBILITY: - This dataset contains rasters of Ecosystem Service Provision 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: - BeschreibungMetadatenOekosystemleistungen_DE.pdf - BeschreibungMetadatenOekosystemleistungen_ENG.pdf This dataset contains files on eight ecosystem services. The simulations were carried out in five-year increments for the period 2025 to 2060. Three climate scenarios, five economic scenarios, three population scenarios, and five land use scenarios were taken into account. The latter control the future transition probabilities between different land use classes. All possible combinations were calculated for each ecosystem service, resulting in a total of 2,025 files per ecosystem service. The file names follow the pattern: ----- -canton.tif Example: car-2025-rcp45-ref_peri_urban-low-ei-cul-canton.tif Category Options --------------------------------------------------------------------------------------------------------------- Ecosystem Service car, ff, hab, ndr, pol, rec, sdr, wy Year 2025, 2030, 2035, 2040, 2045, 2050, 2055, 2060 Climate scenarios rcp26, rcp45, rcp85 Economic scenarios combined_urban, ecolo_urban, ecolo_central, ref_central, ref_peri_urban Demographic scenarios low, ref, high Land use change rates scenarios bau, ei_cul, ei_nat, ei_soc, gr_ex