From Static to Dynamic: Rethinking Baselines in Soil Organic Carbon Markets

Soil organic carbon (SOC) sequestration is a key nature-based climate solution, with carbon credit markets offering a financial incentive to practices that enhance SOC stocks. Market credibility, however, hinges on baseline methodologies, the counterfactual scenario used to measure the additionality of carbon stored. Most protocols rely on static baselines that assume SOC remains constant without intervention, overlooking the dynamic effects and interaction of climate, land use, and management practices over time.

We critically discuss static versus dynamic baselining approaches in SOC crediting systems. Dynamic baselining frameworks, incorporating empirical SOC trends, process-based modeling, and environmental covariates, offer time-varying reference scenarios that better reflect real-world SOC dynamics and reduce overcrediting.

We discuss the implications for carbon market integrity, environmental additionality, and stakeholder confidence, highlighting challenges such as data availability, computational demands, and uncertainty quantification. Practical strategies for integrating dynamic baselines into crediting standards are outlined, balancing scientific rigor with operational feasibility.

By synthesizing current evidence and frameworks, this work provides actionable guidance for policymakers, standard-setters, and project developers seeking to enhance the credibility and effectiveness of SOC sequestration as a climate mitigation strategy.