9-second gridded continental Australia revegetation benefit (cleared natural areas) for Reptiles 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: REP_r3_v2)

Benefits of revegetation index for Reptiles 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建模（Generalised Dissimilarity Modelling, GDM），探究土地清理与气候变化对爬行动物植被恢复指数的效益影响。
该指数表征某样地植被每单位增加所带来的边际效益，其直接取决于该样地测试状态下物种-面积曲线的斜率。实际应用中，由于栅格单元内可开垦土地的可用性、土地所有权及植被恢复成本等现实限制，对整个栅格单元开展植被恢复往往不具备可行性。因此该指数在分析中剔除了上述因素，得以实现不同栅格单元间特定面积植被恢复的相对效益直接对比。按上述公式生成的指数数值通常较低（因为需要较大面积才能支撑新增物种），故通过乘以1000对其进行重新缩放，使其大致处于0-1区间内。

该指数与其他指标一同开发，用于评估大陆及全球尺度下气候变化背景内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（International Union for Conservation of Nature, IUCN）世界公园大会上展示。其详细说明见于《AdaptNRM指南：助力生物多样性适应：基于群落级建模方法支持气候适应规划》，该指南可在线获取：www.adaptnrm.org。

数据以两种形式提供：
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）及投影文件（*.prj）。从压缩包解压后，这些文件可导入绝大多数地理信息系统（Geographic Information System, GIS）软件，通过替换对应头文件的方式，也可作为其他二进制文件格式使用。
2. ArcGIS图层包（*.lpk）：此类文件可由ArcGIS解压为带有配套图例的栅格图层。

此外还提供了一份简短的方法概述文件BiodiversityModellingMethodsSummary.pdf以供进一步查阅相关信息。

本9s系列数据集的图层采用统一命名规范：
生物类群_基准起始_情景方案_分析类型
例如：A_90_CAN85_S 或 R_90_MIR85_L
其中生物类群对应如下：A=两栖动物，M=哺乳动物，R=爬行动物，V=维管植物。