New research from Michigan State University, led by agricultural systems scientist Bruno Basso, addresses a major problem in agricultural carbon markets: how to set an accurate starting point, or “baseline,” for measuring climate benefits.
New research from Michigan State University, led by agricultural systems scientist Bruno Basso, addresses a major problem in agricultural carbon markets: how to set an accurate starting point, or “baseline,” for measuring climate benefits. Most current systems use fixed baselines that don’t account for the soil carbon changes and emissions that would occur if business-as-usual practices were maintained on fields. Such inaccuracies can distort carbon credit calculations and undermine market trust.
“The choice of baseline can dramatically influence carbon credit generation; if the model is inaccurate, too many or too few credits may be issued, calling market legitimacy into question,” said Basso, a John A. Hannah Distinguished Professor in the Department of Earth and Environmental Sciences, the Department of Plant, Soil and Microbial Sciences and the W.K. Kellogg Biological Station at MSU. “Our dynamic baseline approach provides flexible scenarios that capture the comparative climate impacts of soil organic carbon, or SOC, sequestration and nitrous oxide emissions from business-as-usual practices and the new regenerative system.”
The research, published in the journal Scientific Reports, covers 46 million hectares of cropland across the U.S. Midwest, provides carbon market stakeholders with a scalable, scientifically robust crediting framework. It offers both the investment-grade credibility and operational simplicity needed to expand regenerative agriculture.
Read More: Michigan State University
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