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Articles

Using Local Capacity To Assess Carbon Stocks In Two Community Forest In South-East Cameroon

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Pages 92-111 | Published online: 24 May 2019
 

ABSTRACT

Quantification of forest biomass is a challenge for developing countries due to insufficient data and lack of expertise. Involving villagers in this work, especially in the case of local forests could improve the speed and efficiency of this quantification process. This article describes the participatory approach implemented to assess carbon stocks in two community forests located in south-eastern Cameroon. This was put into practice for forest inventory work and the estimation of biomass and carbon stocks. The aim was to use classic scientific approaches of inventory and cartography, but involving local populations in the different stages of the process. The involvement of local populations, through the mobilization of their indigenous knowledge, significantly increases data quality and considerably reduces the costs and duration of the evaluation process. Ultimately, only 2% of the trees inventoried were “unknown” by local botanists, 92.3% of the species identified by them had accurate scientific correspondences. Help of local actors contributed to halving the time required to set up the plots and reduced the cost of operations by twenty times compared with using experts. REDD +, at least its local level monitoring dimension, could be successful if implemented in a dialectic involving expert scientists and local populations.

Acknowledgments

The authors would like to acknowledge the insightful comments of anonymous colleagues on earlier drafts of this manuscript. Data were collected in the Congo Basin Forest and Climate Change Adaptation and Mitigation (COBAM) project within the PACEBCO programs, funded by AfDB and CEEAC. The funding partners supporting this research included the Norwegian Agency for Development Cooperation (NORAD), the International Climate Initiative (IKI) of the German Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB) and the CGIAR Research Program on Forests, Trees and Agroforestry (CRP-FTA) with financial support from the CGIAR Fund Donors.

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