Exploiting climate protection potentials through improved crop rotation design (KlimaFFolgen)
Germany-wide potential analysis and development of a plot-specific decision support system

Objective
Development of a field-specific decision support system for improved crop rotations
Methodology
- Remote sensing data-based crop rotation analysis, including identification of catch crops and crop residues
- Coupled life cycle assessment (LCA) and process-based agroecosystem modelling for comprehensive GHG accounting of diverse crop rotations
- Development of a coupled plant-soil model including programming of the user interface
Climate effect under consideration
Carbon sequestration potentials and overall GHG reduction potentials of improved and climate-optimised crop rotations
Publications
Attia A, Woli P, Long CR, Rouquette FM, Smith GR, Datta A, Feike T, Rajan N (2025): Unlocking climate resilience by exploring the mitigation potential of improved rotation with cover cropping. Journal of Environmental Management. 391, 126352, doi.org/10.1016/j.jenvman.2025.126352
Shanmugapriya S, Bargiel D, Htitiou A, Gerighausen H (2025): A SAR-Driven Approach for Winter Catch Crop Classification in Germany. IEEE Access, vol. 13, pp. 171642-171665, 2025, https://doi.org/10.1109/ACCESS.2025.3615739
Attia, A, Marohn, C, Shawon, A R, de Kock, A, Strassemeyer, J, Feike, T (2024). Do rotations with cover crops increase yield and soil organic carbon? – A modeling study in southwest Ger-many. Agriculture, Ecosystems & Environment.109167. https://doi.org/10.1016/j.agee.2024.109167
Selvaraj, S, Bargiel, D, Htitiou, A, Gerighausen, H (2024): Analyzing Temporal Characteristics of Winter Catch Crops Using Sentinel-1 Time Series. Remote Sens. 2024, 16, 3737. doi.org/10.3390/rs16193737
Contact persons
JKI, Institute for Strategies and Technology Assessment
Franz Bauer
Arno de Kock
Link to project page: KlimaFFolgen




