Biodiversity impact assessment considering land use intensities and fragmentation

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.本数据集为题为《考虑土地利用强度与破碎化的生物多样性影响评估》的论文提供补充信息。 ### 特征因子覆盖范围 5个物种类群：植物、两栖类、鸟类、哺乳类、爬行类 5大类土地利用类型：农田、牧场、人工林、管护林、城市区域 3种土地利用强度：轻度、中度、高强度（注：部分场景下因数据限制无法区分强度等级，需对强度层级进行合并） 全球825个陆地生态区（依据世界自然基金会（WWF）/奥尔森等2001年研究） ### 文件 #### 主数据集 "CF.csv"：针对生态区与5个物种类群的特征因子（characterization factors, CF） #### 分类学聚合数据集 "CF_kingdom.csv"：将5个物种类群聚合至植物界与动物界的特征因子 "CF_domain.csv"：将植物界与动物界聚合至真核生物域（Eukaryota）的特征因子 #### 空间聚合数据集 "CF_country.csv"：将生态区聚合至国家尺度的特征因子 "CF_global.csv"：将生态区聚合至全球尺度的特征因子 #### 分类学与空间双聚合数据集 "CF_kingdom_country.csv"：聚合至国家尺度与植物、动物界的特征因子 "CF_domain_country.csv"：聚合至国家尺度与真核生物域的特征因子 "CF_kingdom_global.csv"：聚合至全球尺度与植物、动物界的特征因子 "CF_domain_global.csv"：聚合至全球尺度与真核生物域的特征因子 ### 单位 土地占用特征因子单位：PDF/m² 土地转化特征因子单位：PDF·yr/m² ### 字段说明 realm：2位代码，用于标识8个生物地理界（biogeographical realm）中的1个 biome：ID，用于标识14个生物群区（biome）中的1个 eco_id：生态区ID，由界编号、群区编号以及每个界下属群区内的生态区编号组合而成 eco_name：生态区名称 species_group：物种类群 kingdom：分类学等级的界 habitat_id：用于关联"land_use.tif"文件中土地利用类型与强度的ID。带.5后缀的ID表示合并的土地利用类别，该类别通过对两个ID分别向上、向下取整后对应的生境合并得到 habitat：土地利用类型与强度 CF_*：特征因子 *_occ*：土地占用相关指标 *_tra*：土地转化相关指标 *_avg*：平均法 *_mar*：边际法 *_reg：区域相对物种损失 *_glo：全球相对物种损失 *_rsd：相对标准偏差（relative standard deviation），用于衡量聚合过程带来的空间不确定性（仅适用于国家及全球聚合的特征因子） quality_*：数据质量标识，区分原始估算与代理值的使用 objectid：国家对象ID iso3cd：国家ISO3代码 romnam：国家罗马化名称 m49code：联合国标准M49国家代码 weighting：特征因子加权依据（仅适用于全球聚合的特征因子） ### 数据质量说明 original：原始估算值（全球聚合特征因子：绝大多数为原始估算，仅在存在当前土地利用的区域使用代理值） proxy_intensity：强度等级缺失，通过同一生态区、同一土地利用类型但不同强度等级的特征因子按比例缩放至目标强度等级得到 proxy_type：土地利用类型缺失，通过同一生物群区内轻利用类型的区域平均特征因子，结合生态区专属的全球灭绝概率（global extinction probability, GEP）估算得到，必要时按目标强度等级进行缩放 proxy_gep：全球灭绝概率（GEP）缺失（仅适用于全球相对物种损失的特征因子），通过同一生物群区内单位面积的平均GEP与生态区面积估算得到 proxy_partial：部分物种类群缺失（仅适用于分类学聚合的特征因子），聚合过程结合了部分原始估算与代理值 proxy_neighbours：国家数据缺失（仅适用于国家聚合的特征因子），通过邻近的3个国家的平均特征因子估算得到 proxy：即使在无当前土地利用的区域仍使用代理值（仅适用于全球聚合的特征因子） 注：国家聚合特征因子中的代理值仅适用于与该国重叠的至少一个生态区，而非该国全部生态区。 ### 土地利用类型与强度数据 栅格文件："land_use.tif" 空间分辨率：0.08333333, 0.08333333（x, y） 空间范围：-180, 180, -90, 90（xmin, xmax, ymin, ymax） 坐标系：WGS 84（EPSG:4326） ### 编码对照表 Primary_vegetation_Minimal （含稀疏/无植被区域） Cropland_Intense：高强度农田 Cropland_Light：中强度农田 Cropland_Minimal：轻度农田 Managed_forest_Intense：高强度管护林 Managed_forest_Light：中强度管护林 Managed_forest_Minimal：轻度管护林 Pasture_Intense：高强度牧场 Pasture_Light：中强度牧场 Pasture_Minimal：轻度牧场 Plantation_Intense：高强度人工林 Plantation_Light：中强度人工林 Plantation_Minimal：轻度人工林 Urban_Intense：高强度城市区域 Urban_Light：中强度城市区域 Urban_Minimal：轻度城市区域 ### 1.0.1版更新说明（2026年6月） 修复了土地转化特征因子计算中的一处错误：原计算中不慎遗漏了系数0.5（详见相关论文的公式4）。