Landuse/Landcover predictors for invasive species distribution modelling in Europe.

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dc.contributor.authorDavis, Amy
dc.contributor.authorStrubbe, Diederik
dc.date.accessioned2025-04-30T08:53:32Z
dc.date.available2025-04-30T08:53:32Z
dc.date.created2023-04-18T13:12:49Z
dc.date.issued2023
dc.description.abstractDescription This data set contains a set of predictors characterizing land use/land cover derived from the CORINE dataset, anthropogenic pressure from the global terrestrial human footprint dataset, and the distance to the nearest waterbody, for continental Europe. All have been aligned with the 1 km2 EEA Reference Grid. The climate variables based on historical (1976-2005) and future (2040-2070) scenarios are available from De Troch et al., 2020 also via Zenodo. These rasters represent the habitat and anthropogenic predictors needed in the Tracking Invasive Alien Species (TrIAS) workflow for invasive species distribution modelling (wiSDM). Geographic coverage Europe Methods Land use classes were extracted from the CORINE06 100 m GeoTiff downloaded from Copernicus. The percentage of each 1 km2 EEA Reference Grid cell occupied by coniferous forest, deciduous forest, wetlands, grasslands and agriculture was calculated. Multiple land use sub-classes were aggregated for the following categories: agriculture, wetlands, grasslands (Table 1). These data layers have been processed in R to replace all NAs that are within the European landmass, with zeros to distinguish them from the ocean, which remain NA, as in the CORINE dataset. In this context, a zero reflects the absence of a given land cover attribute. The mean anthropogenic pressure per 1km2 EEA Reference Grid cell was extracted from the global terrestrial human footprint dataset (Venter et al, 2016). Distance to the nearest waterbody within each 1km2 EEA Reference Grid cell was calculated using the 2016 Surface Water Bodies shapefile available from the EEA (https://www.eea.europa.eu/data-and-maps/data/wise-wfd-spatial/surface-water-body). Land Use Class CORINE LABEL Agriculture Non-irrigated arable land (211), Rice fields (213),Vineyards (221),Fruit trees and berry plantations (222),Olive groves (223),Pastures (231),Annual crops associated with permanent crops (241),Complex cultivation patterns (242),Land principally occupied by agriculture, with significant areas of natural vegetation (243) Coniferous forest Coniferous forest (312) Deciduous forest Broad-leaved forest (311) Grassland Natural grasslands (321), Moors and heathland, (322) Sclerophyllous vegetation (323) Wetland Inland marshes (411), Peat bogs (412) Table 1. How the the original land use/land cover types as labelled in CORINE were combined (or not). Files distance2water_EEA_1km.tif (distance to nearest waterbody) ESM1000m.tif (mean anthropogenic pressure) corine_perAgriculture.tif corine_perWetland.tif corine_pergrass.tif corine_perdeciduous.tif corine_perConiferous.tif
dc.description.versionpublisheddeu
dc.identifier.doi10.5281/zenodo.7841324
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/73179
dc.language.isoeng
dc.rightsCreative Commons Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectCORINE, percent land use, SDM, habitat, TrIAS, invasive alien species
dc.subject.ddc570
dc.titleLanduse/Landcover predictors for invasive species distribution modelling in Europe.eng
dspace.entity.typeDataset
kops.citation.bibtex
kops.citation.iso690DAVIS, Amy, Diederik STRUBBE, 2023. Landuse/Landcover predictors for invasive species distribution modelling in Europe.deu
kops.citation.iso690DAVIS, Amy, Diederik STRUBBE, 2023. Landuse/Landcover predictors for invasive species distribution modelling in Europe.eng
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