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