Biophysical Land Suitability outputs for the Upper Murray River (Australia) and Rapel River (Chile) basins. Baseline and GCM-based projections for RCP 8.5/2.6 – IPCC (AR5) scenarios.

A new dataset containing outputs from a biophysical Land Suitability Analysis (LSA) is available for four traditional agricultural commodities: (i) Pastures and Winter Wheat in the Upper Murray River basin - UMB (Australia) and (ii) warm Grapes and Maize in the Rapel River basin – RAB (Chile). Both study regions are selected as orographic-dissimilar counterparts, thereby, suitable candidates to perform further cross-regional studies such as agricultural adaptation to climate change in sub-alpine systems. This dataset is presented in the form of orthogonal maps (1 km). Baseline maps (BL = 1985 to 2015 average) are complemented with projected maps based on four averaged General Circulation Models (GCM) and two Representative Concentration Pathways (RCP8.5 and RCP2.6) for mid-century (T1 = 2035 to 2050 average) and end-century (T2 = 2085 to 2100 average). This dataset is completed with a Monte Carlo Simulation (baseline) to visualise parametric uncertainty brought by the LSA structure. Both the dataset (MATLAB output files) and GRASS GIS exporting scripts are given to facilitate any further mapping requirement.本数据集包含一套全新的生物物理土地适宜性分析（biophysical Land Suitability Analysis, LSA）结果，覆盖四种传统农业大宗商品：（i）澳大利亚墨累河上游流域（Upper Murray River basin, UMB）的牧场与冬小麦；（ii）智利拉佩尔河流域（Rapel River basin, RAB）的暖季葡萄与玉米。 两个研究区域被选为地貌特征迥异的对照区域，因此成为开展后续跨区域研究的理想候选对象，例如亚高山生态系统的农业气候适应研究。 本数据集以空间分辨率为1千米的正交栅格地图形式呈现。基准期地图（BL：1985至2015年平均值）辅以基于4个平均化通用循环模式（General Circulation Models, GCM）与2种典型浓度路径（Representative Concentration Pathways, RCP8.5和RCP2.6）生成的预测地图，覆盖世纪中期（T1：2035至2050年平均值）与世纪末期（T2：2085至2100年平均值）两个时段。 本数据集还包含基准期蒙特卡洛模拟（Monte Carlo Simulation）结果，用于可视化LSA结构所引入的参数不确定性。 为便于开展各类后续制图工作，本数据集附带MATLAB输出文件与GRASS GIS导出脚本。