Development of the National Forest Resource Monitoring System in Guinea

Forest Management Skills enhancement

  • Africa
  • Guinea

ONF International • 2023-2025

Context

The project supported the Guinean government in establishing a robust, transparent and operational National Forest Monitoring System (SNSF). This system plays a key role in providing reliable and up-to-date data, which is essential for guiding public policy decisions, supporting the sustainable management of forest resources and supporting the implementation of REDD+ actions and Guinea’s Nationally Determined Contributions (NDCs), in accordance with the Paris Agreement.

Activities carried out

The project activities cover all the steps necessary to establish an effective National Forest Monitoring System. They include:

  • assessing existing data and updating forest statistics,
  • stratifying the territory to improve emissions estimates
  • strengthening national capacities
  •  developing procedures, guides and technical reports

The project also helps to address the major pressures on Guinea’s forests — mining, population growth and unsustainable agricultural practices — by mobilising nature-based solutions to build resilience and mitigate the impacts of climate change.

Finally, the SNSF is a strategic lever for facilitating access to international financing, which is essential for sustainable development and the conservation of forest ecosystems.

The project in a few dates

2020

Reference date for updating forest data

2023

National stratification finalised according to IPCC guidelines.

2024

Integration of the National Forest Monitoring System into the World Bank's eMRV tool

Project details

 

  •  Analysis of existing data
  •  Updating national data
  • Stratification and sampling plan
  •  National capacity building
  • Development of procedures and reports

 

©Gabriel Jaffrain

Guinea World Bank PMI Workshop, Conakry

©Gabriel Jaffrain

Refresher course in photo interpretation provided to the Guinean team

©Gabriel Jaffrain

The photo interpretation workshop

©Gabriel Jaffrain

Assessment of forest cover and changes based on a national kilometre grid

©Gabriel Jaffrain

Example of forest cover change on a sample plot

The main phases of the project

1

Assessment of existing data

2

Updating national data and statistics

3

Stratification and sampling plan

4

Strengthening national capacities

5

Development of procedures and reports and fundraising

Expected results

  • A comprehensive diagnosis of existing forest data was carried out, identifying reliable sources, gaps and priority needs for national forest monitoring.
  • National data was updated, including the forest mask and land cover for 2020, as well as estimates of carbon stocks in above-ground biomass.
  • A national stratification and sampling plan in line with IPCC recommendations was developed, forming the methodological basis for a future national forest inventory.
  • The capacities of Guinean institutions have been strengthened through technical training on mapping, geospatial analysis, data management and REDD+ requirements.
  • Technical and methodological procedures have been formalised, including the costs of implementing the NFS and its integration into the World Bank’s eMRV tool.
  • The foundations for a robust and transparent National Forest Monitoring System have been laid, enabling Guinea to improve its forest governance, better meet its climate commitments (NDCs, REDD+) and facilitate access to international financing.
““This project has enabled Guinea to establish a robust and transparent forest monitoring system. Collaboration with our partners has strengthened national capacities and laid the foundations for sustainable management. It has also enabled the launch of the update of forest cover monitoring based on recent satellite imagery.””

Gabriel Jaffrain
Project Manager – Land Cover / Land Use Expert
IGNFI

Budget
250 000 USD
Partners
IGN FI (lead), SalvaTerra
Beneficiaries
Actors involved in the implementation of REDD+ and NDCs
Donor
The World Bank

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