New framework aims to fix forest carbon credit integrity with science-based baselines and transparent monitoring

A study published in Biological Diversity identifies four core problems with forest carbon credits: weak additionality checks, overestimated permanence, inadequate leakage accounting, and ignored biophysical effects like albedo. The authors propose replacing static baselines with dynamic, data-driven models using remote sensing and machine learning, and introducing a three-tier risk management system for permanence. The framework also calls for transparent MRV with standardized monitoring technologies such as LiDAR and eDNA, and mandatory full data disclosure for independent audits. Community governance and equitable benefit sharing would become formal requirements, with Free, Prior and Informed Consent as a mandatory rule. While these reforms would reduce the volume of issuable credits, the researchers argue they would produce high-integrity climate assets that can restore trust in carbon markets. The paper emphasizes that systematic standardization and scientific rigor can transform forest carbon credits into reliable tools for global climate governance.