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  • GC44D: Sustainable Agriculture and Climate Change: Toward Decarbonization of Agrifood Systems I Oral
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Primary Convener:
Bin Peng, University of Illinois Urbana-Champaign

Convener:
Zhenong Jin, University of Minnesota Twin Cities
Jinyun Tang, Lawrence Berkeley National Lab
Kaiyu Guan, University of Illinois Urbana-Champaign

Early Career Convener:
Jie Yang, University of Illinois Urbana-Champaign

Chair:
Bin Peng, University of Illinois Urbana-Champaign
Zhenong Jin, University of Minnesota Twin Cities
Jinyun Tang, Lawrence Berkeley National Lab
Kaiyu Guan, University of Illinois Urbana-Champaign
Jie Yang, University of Illinois Urbana-Champaign

Agroecosystems have a great potential for mitigating climate change by reducing greenhouse gas (GHG) emissions and enhancing carbon sequestration over managed land. Improved modeling and monitoring capacities to track Soil Organic Carbon (SOC) changes and GHG emissions for agroecosystems are urgently needed in both academia and industry. We invite submissions focusing on: (1) developing scalable and cost-effective monitoring capacities to track SOC changes and GHG emissions; (2) synthesizing multi-source observations to infer SOC changes and GHG emissions, including those from near-surface/airborne/satellite remote sensing, ground surveys, long-term experiments, and intensive sensor networks; (3) multi-scale process-based modeling of plant, management, environmental, and economic aspects of the agricultural system; (4) systematic model-data integration to support measurement, reporting and verification (MRV) of GHG emissions and decision-making for improved farming practice, policy design, and economic returns; and (5) new protocols, standards, market mechanisms, project methodologies, and policies related to decarbonization of agri-food systems.

Index Terms
0402 Agricultural systems
0428 Carbon cycling
1615 Biogeochemical cycles, processes, and modeling
1640 Remote sensing

Suggested Itineraries:
National Climate Assessment
Climate Change and Global Policy
Biochemistry
Machine Learning and AI
Global Impacts‚ Solutions‚ & Policies

Cross-Listed:
SY - Science and Society
B - Biogeosciences

Neighborhoods:
3. Earth Covering

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