Biodiversity impact assessment considering land use intensities and fragmentation

Résumé fourni par la source

The data provide supplementary information for the paper entitled "Biodiversity impact assessment considering land use intensities and fragmentation". Coverage of the characterization factors 5 species groups: plants, amphibians, birds, mammals, and reptiles 5 broad land use types: cropland, pasture, plantations, managed forests, and urban areas 3 land use intensities: minimal, light, intense (sometimes, intensity levels had to be merged because the data did not allow to differentiate between them) 825 terrestrial ecoregions of the world (according to WWF / Olson et al. 2001) Files Main data CF.csv: characterization factors (CFs) for ecoregions and 5 species groups Taxonomically aggregated data CF_kingdom.csv: CFs aggregated from 5 species groups to plant and animal kingdoms CF_domain.csv: CFs aggregated from plant and animal kingdoms to the domain of Eukaryota Spatially aggregated data CF_country.csv: CFs aggregated from ecoregions to countries CF_global.csv: CFs aggregated from ecoregions to the globe Taxonomically and spatially aggregated data CF_kingdom_country.csv: CFs aggregated to countries and plant and animal kingdoms CF_domain_country.csv: CFs aggregated to countries and the domain of Eukaryota CF_kingdom_global.csv: CFs aggregated to the globe and plant and animal kingdoms CF_domain_global.csv: CFs aggregated to the globe and the domain of Eukaryota Units CFs for land occupation: PDF/m2 CFs for land transformation: PDF⋅yr/m2 Columns realm: 2-letter code to identify one of 8 biogeographical realms biome: ID to identify one of 14 biomes eco_id: ID to identify the ecoregion, combining numbers for the realm, biome, and ecoregion within each biome nested within each realm eco_name: ecoregion name species_group: species group kingdom: kingdom as a taxonomic rank habitat_id: ID to link to the land use type and intensity as used in land_use.tif. An ID with .5 represents a merged land use class considering the two habitats with the IDs when rounding the value both up and down. habitat: land use type and intensity CF_*: characterization factor *_occ*: land occupation *_tra*: land transformation *_avg*: average approach *_mar*: marginal approach *_reg: regional relative species loss *_glo: global relative species loss *_rsd: relative standard deviation as a measure of spatial uncertainty due to aggregation (only concerns country and globally aggregated CFs) quality_*: data quality, distinguishing between original estimates and the use of proxies objectid: object id of the country iso3cd: iso3 code of the country romnam: romanized name of the country m49code: M49 code of the country, a standard code used by the United Nations weighting: aspect based on which the CFs were weighted (only concerns globally aggregated CFs) Data quality original: original estimate (for globally aggregated CFs: mostly original estimates, proxies only considered in areas with current land use) proxy_intensity: intensity level was missing; CF was derived from another CF of the same ecoregion and land use type but different intensity level and scaled to the right intensity level proxy_type: land use type was missing; CF was derived from the average regional CFs for light use in the same biome and the ecoregion-specific GEP and scaled to the right intensity level if needed proxy_gep: global extinction probability (GEP) was missing (only concerns CFs for global relative species loss); GEP estimated based on average GEP per area unit in the same biome and the ecoregion area proxy_partial: some species groups were missing but not all (only concerns taxonomically aggregated CFs); aggregation done based on partly original estimates and partly proxies proxy_neighbours: country was missing (only concerns country-aggregated CFs); values were estimated based on the average of the three nearest neighbouring countries proxy: proxies were considered even in areas without current land use (only concerns globally aggregated CFs) Note: proxies in country-aggregated CFs apply to at least one of the ecoregions overlapping with the country and not necessarily all ecoregions Land use type and intensity data Raster file: land_use.tif Spatial resolution: 0.08333333, 0.08333333 (x, y) Spatial extent: -180, 180, -90, 90 (xmin, xmax, ymin, ymax) Coordinate reference system: WGS 84 (EPSG:4326) Codes Primary_vegetation_Minimal (incl. sparse/no vegetation) Cropland_Intense Cropland_Light Cropland_Minimal Managed_forest_Intense Managed_forest_Light Managed_forest_Minimal Pasture_Intense Pasture_Light Pasture_Minimal Plantation_Intense Plantation_Light Plantation_Minimal Urban_Intense Urban_Light Urban_Minimal Changes in version 1.0.1 (June 2026) Fixed a bug in the calculation of characterization factors for land transformation, where the factor 0.5 (see Equation 4 of the related publication) was inadvertently omitted.

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