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.

Published: 15 July 2019| Version 1 | DOI: 10.17632/h4ys7rkn8s.1
Edward Cornwell


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.



Deakin University


Land Use Modeling, Climate Change Adaptation