SDMapCH (v1.3): a Comprehensive database of modelled species habitat suitability maps for Switzerland
收藏DataONE2025-08-19 更新2025-08-23 收录
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Conserving natural ecosystems requires consistent and standardized biodiversity data to advance scientific research and improve ecological understanding. While species occurrence records are commonly used in biodiversity assessments, they provide only a snapshot of distributions at sampled sites and fail to capture potential habitat suitability or future shifts, both of which species distribution models can effectively generalize and predict. Despite several national initiatives to develop databases of modelled species habitat suitability maps, even well-studied countries often lack comprehensive, standardized datasets that cover a wide range of taxonomic groups modelled using a consistent framework. Using Switzerland as a case study, we demonstrate how these gaps can be addressed and introduce SDMapCH (v1.3), a nationwide raster database of modelled species habitat suitability maps at a 25-meter resolution. SDMapCH provides individual maps for about 7,500 species, as well as aggregated..., , # SDMapCH (v1.3) â a Comprehensive database of modelled species habitat suitability maps for Switzerland
Dataset DOI: [10.5061/dryad.stqjq2cdk](10.5061/dryad.stqjq2cdk)
This dataset was generated to support biodiversity and conservation planning research by providing high-resolution habitat suitability maps for a wide range of species. The data was produced using species distribution models (SDMs) applied to Switzerland, leveraging a spatially nested hierarchical modelling framework. The models integrate species occurrence records with environmental predictors to estimate habitat suitability under current conditions and future climate change scenarios. The dataset includes raster files representing habitat suitability maps for about 7,500 species across various taxonomic and functional groups.
**For the use and validation of habitat suitability maps, please note:**
a. The habitat suitability maps were primarily developed for research purposes.
b. These maps were not validated for e...,
创建时间:
2025-08-20



