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Improved Forested Landscape Management Project

Sector: Biomass • Location: Congo, Democratic Republic of

Source: World Bank Group

Project
Closed

The Improved Forested Landscape Management Project for Congo has an objective to test new approaches to improve community livelihoods and forested landscape management, and to reduce greenhouse gas emissions from deforestation and forest degradation in selected areas in the Recipient’s territory. The project beneficiaries are: (Component 1) that rural communities and local authorities in the Plate

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The project “Improved Forested Landscape Management Project” is an infrastructure initiative in the Biomass sector, located in Congo, Democratic Republic of. Taiyo aggregates data on it from World Bank Group.

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closed

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Description

Description

The Improved Forested Landscape Management Project for Congo has an objective to test new approaches to improve community livelihoods and forested landscape management, and to reduce greenhouse gas emissions from deforestation and forest degradation in selected areas in the Recipient’s territory. The project beneficiaries are: (Component 1) that rural communities and local authorities in the Plateau District (Bandundu Province), including local representatives of CARTs and Local Development Committees, traditional leaders (Land chief) and decentralized administrations that will receive support to establish integrated local development plans. (Component 2A) Entrepreneurs interested in agro-forestry plantations; private companies investing in agroforestry as an alternative to deforestation, and workers they will hire. (Component 2B) Manufacturers and distributors of cook stoves will receive support to increase production and improve the quality of their products. Also end-users will benefit from the use of cleaner and more efficient cook stoves. (Component 3) Farming communities in the Bas-Congo and Kinshasa Province who will benefit from technical support for changing their production system toward agroforestry and agro-ecology as well as research institutes to capitalize on knowledge generated.

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Source reliability

High

Data quality score

100%

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