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Background: Developing countries participating in the mitigation mechanism of reducing emissions from defor-
estation and forest degradation (REDD+), are required to establish a forest reference emission level (FREL), if they wish
to seek financial support to reduce carbon emissions from deforestation and forest degradation. However, establish-
ment of FREL relies heavily on the accurate estimates of carbon stock as one of the input variable for computation
of the emission factors (EFs). The product of an EF and activity data, such as the area of deforestation, results in the
total emissions needed for establishment of FREL. This study presents the carbon stock estimates for different land
cover classes based on an analysis of Tanzania’s national forest inventory data generated through the National Forest
Resources Monitoring and Assessment (NAFORMA).
Results: Carbon stocks were estimated in three carbon pools, namely aboveground, belowground, and deadwood
for each of the three land cover classes (i.e. Forest, non-forest, and wetland). The weighted average carbon stock was
33.35 t C ha −1 for forest land, 4.28 t ha −1 for wetland and 5.81 t ha −1 for non-forest land. The uncertainty values were
0.9% for forest land, 11.3% for wetland and 1.8% for non-forest land. Average carbon stocks for land cover sub-classes,
which make up the above mentioned major land cover classes, are also presented in our study.
Conclusions: The values presented in this paper correspond to IPCC tier 3 and can be used for carbon estimation at
the national scale for the respective major primary vegetation type for various purposes including REDD+. However,
if local based estimates values are needed, the use of auxiliary data to enhance the precision of the area of interest is
recommended.
Keywords: Carbon stock, REDD+, FREL, Emission factor, Uncertainty |
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