- What needs to be estimated? Carbon sinks, avoided carbon loss, GHGs emissions, and mitigation co-benefits, e.g. water and biodiversity conservation, to ensure benefits to farmers
- How well? Accuracy and uncertainty
- How to reduce risks of impermanence or non-performance
- How to minimize costs (e.g. acceptable % of the total project budget spent on MRV, sufficient benefit to farmers)
- Other considerations: Scalability needs, verification needs (e.g. first, second and third-party), Frequency frequency of estimations - , reporting requirements, timing needed to detect changes (e.g. usually > 5 years) and make payments.
D. Improving accuracy and uncertainty
- Discounted carbon credits to account for impermanence and accuracy risks.
- Buffers in carbon credits allocated
- Accounting at the landscape scale to spread risk over large areas.
- Verification type and frequency (credibility highest with third-party)