ENHANCING MRV CAPACITY FOR JURSIDICTIONAL REDD+ PROGRAMS
With support from the GCF Fund in 2014, the Peruvian Regional Governments of Loreto, Madre de Dios, San Martin, and Ucayali worked with Earth Innovation Institute, the Amazon Environmental Research Institute (IPAM) and Woods Hole Research Center to enhance their technical knowledge of MRV methodologies and create improved forest carbon maps for the Peruvian Amazon. The project advanced science and technology of Tier 2 and 3 forest carbon monitoring and introduced the regional governments to state of the art data management platforms which help monitor and track emissions from deforestation. Through the project, Peruvian member states also greatly enhanced collaboration with the Brazilian GCF member of Acre, Brazil providing opportunities for unprecedented cross-boundary cooperation in addressing deforestation. Deliverables from the project were an improved forest carbon map and a beta version of the Carbon Calculator (CCAL) tool for all regional governments.
Highlights from the projects include:
- New 30m wall‐to‐wall forest carbon maps that for the first time are at the same resolution as the best available deforestation data have been made available to the states
• A user‐friendly, online forest carbon and deforestation monitoring tool (CCAL) that allows for easy reporting and analysis with customizations for use in state REDD+ programs
• Training for state technicians in state‐of‐the‐art forest carbon mapping science to promote the assimilation of the 30m maps and the online monitoring tools.
• A new alliance between Acre and the Peruvian states to work together to build low emission rural development programs with robust monitoring systems
Project Report (EN):
The Project report provides an overview of the activities completed and a description of the deliverables achieved through project implementation.
Low resolution PDF version of 30m improved biomass maps for Peruvian regions.
Carbon Density and Error Summary:
A summary of the estimated biomass densities and uncertainty from improved biomass maps.
Amazonas - Uncertainty Map
Madre de Dios - Uncertainty Map
Ucayali - Uncertainty Map