GENERAL INFORMATION 1. Title of Dataset: Bern Landscape Change Explorer Ecosystem Condition and Potential Results. 2. Author Information A. Principal Investigator 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 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: 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 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: Nicholson Thomas, I., Black, B., & Kurmann, M. (2026). Bern Landscape Change Explorer Ecosystem Condition and Potential Results (Version 1.0.0) [Data set]. ETH Zurich. https://doi.org/10.5281/zenodo.18327368 DESCRIPTION/REPRODUCIBILITX: - This dataset contains rasters of ecosystem condition and potential 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: - BeschreibungMetadatenOekosystemzustand_Potenzial_DE.pdf - BeschreibungMetadatenOekosystemzustand_Potenzial_ENG.pdf This dataset contains raster data on ecosystem condition (EC) and the potential for condition dependent improvements in selected ecosystem services. The calculations were performed separately for three ecosystem types: forests, grasslands and alpine pastures, and agricultural land. The data sets on ecosystem condition are stored as ec_index and separated by ecosystem type. ec_index_LU_Forest contains the ecosystem condition index for forest areas, ec_index_LU_GrassPasture for grasslands and alpine pastures, and ec_index_LU_IntensiveAg for intensive agricultural areas. In all three cases, the pixel value corresponds to the calculated, composite ecosystem condition index for the respective land use group. In addition, there is the cluster_EC_all dataset, which represents spatial patterns in ecosystem condition as classes. The clusters are based on the same indicator layers that were used to calculate the ecosystem condition index. Each grid cell is assigned a cluster ID, which groups together cells that have similar characteristics across several indicators, for example, simultaneously high or low values in the same state characteristics. This allows areas to be delineated that are similar in terms of the interaction of the state indicators considered. The potential datasets are named after ecosystem services and end in _gap. CAR_gap describes the potential for carbon storage, FF_gap for food and feed production, HAB_gap for habitat quality, POL_gap for pollination, and REC_gap for recreational potential. The pixel values indicate the difference between theoretical and effective provision, i.e., the additional amount that could be achieved with an improved ecosystem status. Included files: BeschreibungMetadatenOekosystemzustand_Potenzial_DE.pdf BeschreibungMetadatenOekosystemzustand_Potenzial_ENG.pdf CAR_gap.tif ec_index_combined.tif ec_index_LU_13.tif ec_index_LU_15.tif ec_index_LU_17.tif FF_gap.tif HAB_gap.tif POL_gap.tif REC_gap.tif