The overall goal of this KISS study on “Managing Soil Organic Carbon for Climate Change Mitigation“ is to envision a state-of-the-art, big data & model platform, that is both distributed and community-based, and that can serve as a foundation for high quality-low cost quantification and analyses of soil carbon and soil greenhouse gas (GHG) emissions from agricultural land use, across scales from farm- to national-level. Development and implementation of this technology is critical to enable agricultural soils to play a significant role in CO2 removal and to reduce non-CO2 GHG emissions from soils.
The first workshop identified critical elements of such a platform and reviewed the current state-of-the-art for several key technologies. We convened an expert group of scientists to capture their collective expertise and diverse viewpoints, in order to converge towards a unified systems approach to achieve high quality-low cost quantification.
The objectives for workshop #2 will be to address technical challenges and identify opportunities for moving forward on each of four critical components:
- tailored, multi-scale remote sensing data systems of land surface characteristics and land use activities,
- process-based and hybrid AI models to predict soil carbon stock changes and soil GHG emissions,
- optimal ground-based monitoring and experimental site networks, and
- systems integration.