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Forest Dependent Communities Support Project

Sector: Forest Products and Packaging • Location: Congo, Democratic Republic of

Source: World Bank

Project
Closed

The objective of the Forest Dependent Communities Support Project for Democratic Republic of Congo is to strengthen the capacity of targeted Indigenous Peoples and Local Communities (IPLC) in selected territories and at the national level to participate in REDD oriented land and forest management activities. The project has 3 components. (1) Reinforce the participation of IPLC in forest and land

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The project “Forest Dependent Communities Support Project” is an infrastructure initiative in the Forest Products and Packaging sector, located in Congo, Democratic Republic of. Taiyo aggregates data on it from World Bank.

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closed

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Description

Description

The objective of the Forest Dependent Communities Support Project for Democratic Republic of Congo is to strengthen the capacity of targeted Indigenous Peoples and Local Communities (IPLC) in selected territories and at the national level to participate in REDD oriented land and forest management activities. The project has 3 components. (1) Reinforce the participation of IPLC in forest and land management processes related to REDD component will provide tailored support, including on administrative and financial management (FM) issues, and improve dissemination of information about REDD and its impact on the IPs and LCs. (2) Support community-based sustainable forest and land management component will help empower IPLCs by (a) supporting initiatives exploring how to attain formal recognition of their traditional user rights and (b) financing natural resource management activities that enhance climate change adaptation and the sustainable management of forest landscapes to improve rural livelihoods. (3) Increase the capacity to implement development activities for IPLC and consolidate feedback component aims at ensuring the smooth implementation of the project in compliance with Bank procedures but with enough flexibility to match the capacity of the communities.

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Source

Source reliability

High

Data quality score

100%

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