This theme uses landscape modeling to better grasp and describe fluxes, transformations, and changes in ecosystem C and N stocks. This approach also helps understand environmental losses along hydrological and gaseous pathways. These losses may occur in response to landscape use and climate change.
We explore landscape management strategies that allow for the optimization of agricultural production as well as a reduction in environmental impacts. The former includes optimization under changing environmental conditions, while the latter focuses on greenhouse gas (GHG) emissions (CO2, N2O, CH4).
A key focus area of model development is the seamless integration of remotely sensed data as inputs and drivers of models. The models will contain information on crop performance, crop rotations, field management, etc. This information, alongside information gathered by landscape experiments, will be used to assess the GHG balance of entire agricultural landscapes. Modeling activities may conclude in monitoring, reporting, and verification (MRV) decision support tools. These tools can assist with accounting for GHG emissions of agriculture products and exploring pathways towards zero-emission agriculture.