DOI: 10.5281/zenodo.18622615
title: Bern Landscape Change Explorer Species Habitat Suitability Simulations

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_DE.pdf

-  BeschreibungMetadatenHabitateignung_ENG.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

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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