Why and How should Indigenous Peoples and forest communities engage with NFMS and monitoring within...
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Transcript of Why and How should Indigenous Peoples and forest communities engage with NFMS and monitoring within...
Why and How should Indigenous Peoples and forest communities
engage with NFMS and monitoring within REDD+ ?
Grace Balawag - Tebtebba Vu Thi Hien – CERDA
Indigenous Peoples’ Global Partnership on Climate Change, Forests and Sustainable Development
Why ?• Indigenous Peoples have always been monitoring their
resources. Traditional knowledge and customary laws are effective tools for monitoring, especially for forests and biodiversity resources
• Indigenous peoples are doing their own forest/carbon inventory and biodiversity monitoring by using traditional knowledge and practices; and when provided with additional training on new required technologies, they can do monitoring and information systems for REDD+ and safeguards;
• Have high potential to collect and monitor data with high accuracy since they live within the forests and high biodiversity areas
•
Why?
• Provides opportunity for cost effectiveness in implementing REDD+ at local levels and monitoring safeguards implemented at ground level
• With the respect of rights, traditional knowledge, and the full and effective participation of Indigenous Peoples in REDD+ processes including FPIC, they will have ownership of REDD+ or any other forest management initiative, as well as, the monitoring process
• Great potential in scaling up and sustainability of any forest initiative;
• Forests are well protected with constant monitoring and reliable information systems by Indigenous Peoples
How ?
Example, some evidences from
“Pilot Model of Indigenous Peoples’
Community-led REDD+ Initiative in
Vietnam”Project “Pilot model of capacity building for ethnic minority communities’ readiness to REDD Plus in Thai Nguyen, North of Vietnam Implemented by CERDA, in partnership with TebtebbaFunded by NORAD
Measuring forest area for mapping & doing forest inventory to allocate forest to communities done by the trained
indigenous villagers
Data officially recognized by the district government with its high accuracy; it helps reducing the cost of forest allocation (1/3 compared with government cost norm)