Boosting transparency of forest data

FAO NICOLON 20200123-50 - Copy
Forest data transprency case studies

Transparent, trusted forest information and data is the backbone of effective climate action. Countries need consistent methods, clear governance, and accessible platforms to monitor forests, report under the Enhanced Transparency Framework, and guide decisions across sectors. This case study series documents practical ways governments and partners are building and sustaining those systems: from national forest monitoring and MRV arrangements to interoperable data portals, standard operating procedures, and quality assurance processes that make data comparable over time.

Each case focuses on how institutions organize to share and validate data, what methodologies and tools they use, and how findings support national priorities – such as NDCs, results-based payments, safeguards, land-use planning, and sustainable forest management. The aim is not only to showcase success but to surface the steps, trade-offs, and lessons that others can adapt. By putting methods and governance in the spotlight, these stories help strengthen confidence in reported results, enable peer learning, and encourage investment in systems that last.

The collection is designed for policymakers, technical agencies, statisticians, and practitioners who want a clear view of what works in different contexts. Wherever possible, the cases link to public portals, documentation, and source data so readers can look under the hood, reuse approaches, and accelerate their own transparency efforts.

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Have a relevant example we should feature?

Send a short description to [email protected]. Please include: the objective and context, lead institutions and partners, datasets and methods used, governance and data-sharing arrangements, key results (with links to portals or documentation), and lessons learned. We welcome cases covering national forest monitoring, MRV, data platforms, safeguards information, institutionalization, and cross-sector collaboration.