Global 1-km habitat distribution for endangered species and its spatial changes under future warming scenarios

The data (including tables and maps) are stored in the Dryad Open Access Repository and are publicly available at https://doi.org/10.6084/m9.figshare.2798553849. All the spatial data are stored in raster GeoTIFF format and tabular data are stored in csv format. The dataset is categorized into two main types: species scale and category scale. Initially, the data were classified into AOH maps and future change maps (folders named species scale AOH, species scale change, category scale AOH, and category scale change). Within the species scale dataset, raster values are binary [0, 1], with 1 indicating the presence of AOH. The data are organized into three levels on the basis of development pathway, year, and species category. The name formats for AOH maps is: AOH/SSPxxx/yyyy/c/s.tif, while the name formats for AOH change maps is: Change/SSPxxx/yyyy/c/s.tif. A total of 2,571 amphibian, 617 bird, 1280 mammal, and 1456 reptile species are included in the AOH and change data. In the category scale dataset, the data are organized into two levels based on the diverse warming scenarios and years (including the SSP126, SSP245, SSP370, and SSP585 scenarios for the year 2030, 2050, 2070, and 2100). The name format for species diversity maps is: AOH/xxx/yyyyy/c/xxx_yyyyy_c.tif , and the name format for species diversity change maps is: Change/xxx/yyyyy/c/xxx_yyyyy_c.tif. Species diversity was calculated by overlaying each species' AOH map, with overlapping areas summed50. For the change maps, raster values indicate the magnitude of species diversity change in a given area. Positive values indicate regions with increasing species diversity, with higher values indicating greater increases, whereas negative values reflect decreasing richness, and zero values denote no change in species diversity.
In the file name, xxx represents SSP scenarios; yyyy represents the project year; c represents species category; and s represents the species name. Additionally, we have included a separate folder containing our validation data and results. We also compiled statistics on the AOH change areas for each species category under different scenarios and time points (Supplementary Table S2), which were also summarized at the continental scale (Supplementary Table S3). Furthermore, we calculated the percentage of AOH loss for each endangered species at the species scale for future scenarios (Supplementary Table S1).
To account for potential future shifts in species ranges beyond current IUCN boundaries, we additionally provided potential AOH maps that assume ±10% range expansion and contraction. These data are organized in separate folders with consistent naming conventions, and they are intended to support sensitivity analyses or species-specific customization.

本数据集包含表格与地图数据，全部存储于Dryad开放获取仓储（Dryad Open Access Repository）中，可通过公开链接https://doi.org/10.6084/m9.figshare.2798553849获取。所有空间数据均采用栅格GeoTIFF格式存储，表格数据则以CSV格式保存。

本数据集分为两大核心类型：物种尺度数据集与类群尺度数据集。最初的数据被划分为生境适宜性范围（Area of Habitat, AOH）地图与未来变化地图，分别存储于“物种尺度AOH”“物种尺度变化”“类群尺度AOH”以及“类群尺度变化”四个文件夹中。

在物种尺度数据集中，栅格值为二元变量[0,1]，其中1代表该区域存在对应物种的生境适宜性范围。该数据集按照发展路径、年份以及物种类群三个层级进行组织。生境适宜性范围地图的命名格式为：AOH/SSPxxx/yyyy/c/s.tif，而生境适宜性范围变化地图的命名格式为：Change/SSPxxx/yyyy/c/s.tif。生境适宜性范围与变化数据中共涵盖2571种两栖动物、617种鸟类、1280种哺乳动物以及1456种爬行动物。

在类群尺度数据集中，数据依据不同升温情景与年份分为两个层级，涵盖2030、2050、2070及2100年的SSP126、SSP245、SSP370与SSP585四种共享社会经济路径（Shared Socioeconomic Pathways, SSP）情景。物种多样性地图的命名格式为：AOH/xxx/yyyyy/c/xxx_yyyyy_c.tif，物种多样性变化地图的命名格式则为：Change/xxx/yyyyy/c/xxx_yyyyy_c.tif。物种多样性通过叠加所有物种的生境适宜性范围地图计算得到，重叠区域的面积经累加（参见文献[50]）得到最终结果。对于变化地图而言，栅格值代表特定区域内的物种多样性变化幅度：正值代表物种多样性上升的区域，数值越高则增幅越大；负值代表物种丰富度下降的区域；零值则代表物种多样性无变化。

在文件名中，xxx代表共享社会经济路径情景，yyyy代表预测年份，c代表物种类群，s则代表物种名称。此外，本数据集还包含一个单独的文件夹，用于存放验证数据与验证结果。

研究团队还针对不同情景与时间节点下各物种类群的生境适宜性范围变化面积进行了统计，结果整理于补充表S2中，同时还按大陆尺度进行了汇总（补充表S3）。此外，本研究还计算了未来情景下各濒危物种的生境适宜性范围损失占比，相关结果整理于补充表S1中。

为考虑物种分布范围在未来可能超出当前国际自然保护联盟（International Union for Conservation of Nature, IUCN）划定边界的情况，本数据集额外提供了假设分布范围扩张或收缩10%的潜在生境适宜性范围地图。此类数据存储于单独的文件夹中，命名规则与前述数据保持一致，可用于敏感性分析或针对特定物种的定制化研究。

搜集汇总

背景与挑战

背景概述

该数据集提供了全球濒危物种在1公里分辨率下的栖息地分布及其在未来变暖情景下的空间变化数据，包括物种尺度和类别尺度的分析，覆盖多种物种和不同时间点，数据以栅格和表格格式存储。