9-second gridded continental Australia revegetation benefit (cleared natural areas) for Reptiles 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: REP_r3_v2)

Benefits of revegetation index for Reptiles as a function of land clearing within the present long term (30 year average) climate (1990 centred) 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

本数据集基于以1990年为基准的长期（30年平均）气候条件下的物种组成周转广义相异性建模（Generalised Dissimilarity Modelling，GDM），探究了土地清理强度对爬行动物植被恢复指数的增益效应。
该指标表征样地内植被每单位增量所带来的边际收益，其直接由样地测试状态下物种-面积曲线的斜率决定。实际应用中，受限于栅格单元内已清理土地的可获取性、土地权属与植被恢复成本等现实约束，对整个栅格单元开展全面植被恢复往往不具备可行性。因此本指标在分析中剔除了上述因素，可实现不同栅格单元间特定面积植被恢复的相对收益直接对比。按上述公式生成的指数数值通常偏低（因为支撑新增物种需要较大面积的植被），因此通过乘以1000对指数进行重标度，使其大致处于0-1区间内。
该指标与其他多项指标共同开发，用于评估气候变化背景下陆地及全球尺度的保护区系统生物多样性保护效能，相关成果已在2014年世界自然保护联盟（IUCN）世界公园大会上发布。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撑气候适应规划》，可通过在线网址www.adaptnrm.org获取。
数据集以两种形式提供：
1. 压缩ESRI浮点栅格数据：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）。从压缩包解压后，这些文件可导入绝大多数GIS软件，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）：此类文件可通过ArcGIS软件解压为带有配套图例的栅格图层。
此外，文件BiodiversityModellingMethodsSummary.pdf中提供了简短的方法学摘要，以供进一步查阅相关细节。
本9秒分辨率系列栅格图层采用统一命名格式：
生物类群_基准时段_目标情景_分析类型
示例：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。