AGU 2025 - We’re hosting a session: GC11E Reducing Uncertainty and Operationalizing MMRV for Soil Carbon and Nitrous Oxide on Working Lands I (Oral)
From rigor to real-world impact: models, measurements, and policy in concert
The Big Idea: We’re moving from isolated tools and datasets to an interoperable, evidence-driven foundation for climate-smart agriculture—uniting modelers, field scientists, and policy innovators.
AGU fall meeting: MONDAY, December 15th, 8:30 - 10:00 AM
206 New Orleans Convention Center
Why this session
Practical insights from measure-remeasure deployment
Learn how national soil networks and field programs operationalize MMRV
Understand uncertainty: variability, calibration choices, and Bayesian ensembles
Speaker lineup (in order)
Prateek Sharma (Michigan State University) A Multimodel Hybrid Framework (MHF) to assess N₂O emissionn mitigation potential of regenerative agricultural practices across the US midwest
Mark Bradford (Yale) with EDF & Illinois collaborators
Building confidence in soil carbon accounting through adoption of casual measure and remeasure MMRV approaches.Senani Karunaratne (Australia: CSIRO, Murdoch Univ., and partners) Uncovering statistically significant changes in soil organic carbon stocks across thee australian agricultural landscape.
Martha Farella (Yard Stick) Advancing soil organic carbon stock MMRV rigor via quantification of resampling variability in midwestern US soils.
Negar Tafti (The Nature Conservancy) From framework to field: implementing MMRV in agricultural carbon and natural climatee solutions at scale.
Beth Ziniti (Regrow Ag) The impact of individual choicees on robust validation of process-based models for quantifying agricultural greenhouse gas emissions.
Stephen Ogle (CSU) with KIT & Aarhus University Reducing uncertainty in N₂O emissions using a process-based model ensemble in a Bayesian framework.
