Lead: Ando Radanielson (A.Radanielson@cgiar.org)
Co-Lead: Arlene Adviento-Borbe (aborbe2020@gmail.com / arlene.advientoborbe@usda.gov)
Early-Career Coordinator: Thuong Vo (T.Vo@cgiar.org), Reti Ranniku (rranniku@uark.edu) 

Latest News

IRRI Website: IRRI, GMH, and AgMIP hold first global GHG flux and modelling from rice workshop

Brief Description of Activity

The AgMIP Greenhouse Gas Fluxes Team brings together researchers, modelers, field scientists, and data specialists from different institutions to collaboratively advance understanding of greenhouse gas (GHG) emissions in agricultural systems. This page serves as a coordination hub that connects ongoing GHG flux monitoring efforts, modelling activities, and emerging research across geographically diverse sites and disciplines. Activities include data integration, model intercomparison, field-to-model linkage development, and cross-country knowledge exchange to support more accurate and transparent agricultural GHG assessments.

Objective

To establish a coordinated, multi-institutional platform that strengthens global research and modelling capabilities related to agricultural GHG fluxes, particularly methane (CH₄), nitrous oxide (N₂O), and carbon dioxide (CO₂). Through shared data, harmonized methodologies, and collaborative modelling experiments, the team aims to accelerate scientific discovery, improve agricultural GHG estimation, support mitigation strategies, and contribute to climate-smart agricultural planning at local, regional, and global scales.

Overview of Participants

70 leading experts on GHG data analysis and modelling from 40 organizations across 20 countries

Current Research Focus

The GHG Flux Team is currently focused on:

• • • Strengthening linkages between field-measured GHG flux datasets and agricultural modelling platforms.
    • Comparing model outputs and methodologies across sites, institutions, and environments.
    • Establishing multi-model, multi-site, and multi-region study frameworks to assess GHG dynamics under diverse cropping systems.
    • Integrating methane flux research with crop growth modelling to improve process representation, model calibration, and emission prediction accuracy.
    • Expanding collaborator networks to increase global geographic representation and technical diversity.
    • Building workflows that streamline data reporting, cross-validation, and sharing within AgMIP.

Results/Recent Findings

Recent workshop outcomes highlight:

• • • Improved understanding of the drivers of methane emissions under different water and nutrient management regimes, particularly in rice systems, where management practices significantly change emission magnitudes and timing.
    • Enhanced model intercomparison insights, showing variability in how different models simulate methane flux responses to environmental conditions—providing valuable direction for harmonization, model improvement, and shared calibration protocols.
    • Integration progress between flux measurements and crop models, improving prediction accuracy and enabling better scenario testing for mitigation strategies.
    • Expansion of collaborative field sites and modelling groups, allowing for broader cross-site comparative analysis across regions in Asia, Africa, and South America.
    • Increased interest from new collaborators following recent workshops, with multiple potential contributors expressing intent to join modelling experiments and data-sharing activities.

These findings reinforce the importance of coordinated GHG flux research and demonstrate clear momentum toward building a global modelling and data ecosystem for agricultural GHG assessment.

Key Publications

Adviento-Borbe, A. M., Ferrer, A., Hasegawa, T., Li, T., Mencos Contreras, E., Minamikawa, K., Radanielson, A., Rosenzweig, C., Sander, B. O., & Valdivia, R. (2025). Greenhouse Gas Fluxes and Modeling from Rice Workshop. Zenodo. https://doi.org/10.5281/zenodo.17694053