Scenario Builder
Configure your optimization scenario using the controls in the sidebar, then click 'Run Optimization'.
Study Area
Optimized Land Allocation
Solution Statistics
Area Allocation Results
About the RSA Landscape Planning Tool
South Africa faces mounting pressure to meet ambitious national and global targets for biodiversity conservation, renewable energy expansion, and food security simultaneously - yet land is finite and these demands often conflict. The RSA Landscape Planning Tool provides a rigorous, transparent, and reproducible framework for navigating these trade-offs at scale.
The tool is an interactive systematic conservation planning platform developed by the Endangered Wildlife Trust's (EWT) Conservation Planning and Science Unit. It enables users to identify optimal land allocations across South Africa, balancing competing demands for biodiversity conservation, renewable energy development, and agricultural production within a single integrated framework. Analyses can be run at national or provincial scale, or for a user-defined area of interest.
How it works
Optimal land allocations are identified using prioritizr, an R package for systematic conservation planning, solved by the Gurobi mathematical optimisation engine. Solutions are guaranteed to be within 5% of the true mathematical optimum. For full technical details, including data sources, cost surface construction, and solver settings, see the Technical Reference Document.
Resources
- User Guide - step-by-step guidance on using the tool
- Technical Reference Document - methodology, data sources and validation
- prioritizr R package - underlying conservation planning framework
- Gurobi Optimizer - mathematical solver
Funding
This tool was developed with the generous support of the JRS Biodiversity Foundation.
Suggested citation
Cowan, O. (2026). RSA Landscape Planning Tool: A systematic conservation planning framework for South Africa. Endangered Wildlife Trust. Available at: https://rsa-landscapeplanning.ewt.org
Contact
For queries, feedback, or collaboration enquiries, please contact science@ewt.org.
Note: If the optimisation step fails unexpectedly, the server may be under load from another user. Please wait a few minutes and try again.