9-second gridded continental Australia revegetation benefit (cleared natural areas) for Mammals 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: MAM_r2)

Benefits of revegetation index for Mammals as a function of land clearing and changing climate based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. This metric represents the marginal benefit from a unit increase of vegetation at the site, which is a direct function of the slope of the species area curve at the test state of the site. In practice, revegetation of the whole cell is likely to be impractical due to the availability of cleared land within the cell, and practical limitations such as land ownership and revegetation cost. The metric therefore excludes these factors from the analysis, allowing direct comparison of the relative benefit of a given area of revegetation between cells. The values of the index generated according to the above formula are generally low (since a significant area is required to support additional species) and the index is rescaled by multiplying by 1000 to bring it into an approximate 0-1 range. This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Helping Biodiversity Adapt: Supporting climate adaptation planning using a community-level modelling approach”, available online at: www.adaptnrm.org. Data are provided in two forms: 1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file. 2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend. Additionally a short methods summary is provided in the file BiodiversityModellingMethodsSummary.pdf for further information. Layers in this 9s series use a consistent naming convention: BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS e.g. A_90_CAN85_S or R_90_MIR85_L where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants

基于物种组成更替的广义相异性模型（Generalised Dissimilarity Modelling, GDM）构建的哺乳动物植被恢复效益指数，该指数以土地清理与气候变化为影响变量。该指标表征样地内植被每单位增加所带来的边际效益，其直接取决于样地测试状态下种-面积曲线的斜率。实际操作中，由于栅格单元内已清理土地的可获取性，以及土地所有权、植被恢复成本等现实限制，对整个栅格单元进行植被恢复往往不具备可行性。因此该指标在分析中剔除了上述因素，使得不同栅格单元间给定面积植被恢复的相对效益可直接进行对比。按照上述公式生成的指数数值通常较低（因为要支撑新增物种需要较大的面积），因此通过乘以1000对指数进行重新缩放，使其大致处于0-1区间内。该指标与其他指标一同被开发，用于在大陆与全球尺度上评估气候变化背景下保护区系统对生物多样性的保护效能，相关成果曾在2014年世界自然保护联盟（IUCN）世界公园大会上展示。该指标的详细说明见于AdaptNRM指南《助力生物多样性适应：基于群落级建模方法支撑气候适应规划》，可通过网址www.adaptnrm.org在线获取。数据集以两种形式提供：1. 压缩的ESRI浮点栅格：包含二进制浮点栅格文件（*.flt）、配套的ESRI头文件（*.hdr）与投影文件（*.prj）。从压缩包中解压后，这些文件可导入绝大多数GIS软件中，也可通过替换对应头文件的方式，作为其他二进制文件格式使用。2. ArcGIS图层包（*.lpk）：该类数据包可通过ArcGIS解压为带有配套图例的栅格数据。此外，文件BiodiversityModellingMethodsSummary.pdf中提供了方法学概述，以供读者获取更多细节。本9s系列的图层采用统一命名规范：生物类群_基准_情景_分析类型，例如A_90_CAN85_S或R_90_MIR85_L，其中生物类群的对应关系为：A代表两栖动物、M代表哺乳动物、R代表爬行动物、V代表维管植物