Published June 17, 2026
| Version v3
Dataset
Open
Bern Landscape Change Explorer Species Habitat Suitability Simulations
Authors/Creators
-
1.
ETH Zurich
Description
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
- 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-<year>-<climate scenario>-<land use scenario>-<species list>-<group>-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
Files
blce-sdm-data-archive.zip
Additional details
Related works
- Is derived from
- Dataset: 10.5281/zenodo.18202087 (DOI)
Funding
- Wyss Academy for Nature
Dates
- Updated
-
2026-06Update to Metadata-Files
Software
- Development Status
- Active