Spatial dataset of climate robust and high-yield agricultural areas in Brandenburg: Results of a Classification Framework Using Bio-Economic Climate Simulations

Coherent spatial data is crucial for informed land use and regional planning decisions, particularly in the context of securing a crisis-proof food supply and adapting to climate change. This dataset provides spatial information on arable land in Brandenburg, Germany. The dataset can support regional planning and policy decisions by identifying climate-robust arable land with high current and stable future production potential. The classification method used to generate the dataset includes a wide range of indicators. Including traditional static approaches, such as a soil quality index, drought, water and wind erosion risk as well as a dynamic approach using bio-economic simulations to determine the production potential under future climate scenarios. The dataset is a valuable resource for spatial planning and climate change adaptation, contributing to long-term food security especially in dry areas such as the state of Brandenburg facing increased production risk under future climatic conditions. https://doi.org/10.14512/rur.2247