Spatial modelling of ecological indicator values

Ecologically meaningful predictors are often neglected in plant distribution studies, resulting in incomplete niche quantification and low predictive power of species distribution models (SDMs). Because environmental data are rare and expensive to collect, and because their relationship with local climatic and topographic conditions are complex, mapping them over large geographic extents and at high spatial resolution remains a major challenge. Here, we derived environmental data layers by mapping ecological indicator values (EIVs) in space by using a large set of environmental predictors in Switzerland.

This dataset contains the predictors (raster layers) generated and used in the following publication (Descombes et al. 2020). Only predictors for which we have the rights to share them are provided. Other datasets and predictors can be accessed via the original data provider. Details on the predictors and sources are fully described in the publication. The predictors are provided as GeoTIFF files, at 93 m spatial resolution and Mercator projection ("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs"). The excel file (xlsx) provides a short description of the raster layers.

Paper Citation:

Descombes, P. et al. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography. (accepted)

Data and Resources

Additional information

Identifier
4ab13d14-6f96-41fd-96b0-b3ea45278b3d@envidat
Title for URL of the dataset
spatial-modelling-of-ecological-indicator-values
Schedule the publication of the dataset
Issued date
June 4, 2020
Modification date
June 11, 2020
Update interval
-
Temporal coverage
-
Publisher Information
Zenodo
Contact points
Languages
English
Url
https://www.envidat.ch/#/metadata/spatial-modelling-of-ecological-indicator-values
Relations
-
Spatial
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Keywords
Terms of use
NonCommercialAllowed-CommercialAllowed-ReferenceRequired
Metadata Access
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