AGU 2025 - We’re hosting a session: GC13K 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 New Orleans
Why this session
See measure-and-remeasure designs to ground our science
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 for estimating N₂O mitigation from regenerative practices—bridging simulations and field-level management.
Mark Bradford (Yale) with EDF & Illinois collaborators Causal measure-and-remeasure: experimental design and transparent data to strengthen soil-carbon crediting.
Senani Karunaratne (Australia: CSIRO, Murdoch Univ., and partners) National-scale insights: statistically significant SOC shifts across agricultural landscapes and what they mean for monitoring networks.
Martha Farella (Yard Stick) Resampling variability in Midwestern soils—the overlooked driver of uncertainty in MMRV.
Negar Tafti (The Nature Conservancy) From framework to field: implementing MMRV across programs in the U.S., India, and Tanzania.
Beth Ziniti (Regrow Ag) Model choices matter: structure, calibration, and data harmonization shape GHG estimates.
Stephen Ogle (CSU) with KIT & Aarhus University Reducing uncertainty in N₂O: process-based model ensembles within a Bayesian framework.
