Accurate estimates of biomass and carbon stocks in tropical forests are essential for implementing climate mitigation mechanisms such as REDD+ (Reducing Emissions from Deforestation and Forest Degradation). This study quantifies biomass and carbon allocation across different compartments — stems, branches, leaves, roots — within the Atlantic humid rainforest of southern Cameroon, one of the most carbon-dense forest ecosystems in the Congo Basin region.
Using a combination of destructive sampling, allometric equations, and forest inventory data, the research provides spatially explicit estimates of above- and below-ground carbon stocks. The findings contribute baseline data critical for national carbon accounting systems and help refine the emission factors used to calculate deforestation-related carbon losses in REDD+ frameworks applicable to Congo Basin countries.
As international climate finance increasingly relies on credible forest carbon measurements, studies of this kind are indispensable for positioning Central African countries within global carbon markets. BCL supports the development of such scientific baselines as part of its broader commitment to promoting evidence-based climate and conservation policies in the Congo Basin.
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