Building high-fidelity dynamic baseline for ARR projects under Verra’s standard (VM0047)

Dynamic baseline sit at the core of how nature-based carbon projects establish credibility and how carbon credits hold up to scrutiny over time.

For high-integrity ARR projects, a credible baseline is one critical piece of how carbon estimates are built and defended over time. A static baseline is fixed at project inception and remains unchanged for decades - it can drift from reality as landscapes change, degrade, and regenerate, creating an over-crediting risk that undermines investor confidence and registry compliance. As projects scale and monitoring periods extend across decades, this gap between assumed and actual conditions only widens.

The shift to dynamic baseline is gaining traction, with Verra's VM0047 methodology establishing a framework for benchmarking project performance against evolving regional conditions. But adopting the methodology is only part of the challenge ; implementing it rigorously, at scale, and in a way that is operationally sustainable requires deliberate technical choices at every step, from how vegetation is measured to how reference plots are selected and maintained over time.

In this piece, we outline how Thryve is approaching this challenge and building a dynamic baseline system that is both scientifically robust and operationally practical for ARR projects.

Read on to understand why dynamic baselines matter for carbon credit integrity and how Thryve is implementing this approach in practice.