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To generate carbon credits under the Reducing Emissions from Deforestation and forest Degradation program(REDD+), accurate estimates of forest carbon stocks are needed. Carbon accounting efforts have focused on carbon stocks in aboveground biomass(AGB).Although wood specific gravity(WSG) is known to be an important variable in AGB estimates, there is currently a lack of data on WSG for Malagasy tree species. This study aimed to determine whether estimates of carbon stocks calculated from literature-based WSG values differed from those based on WSG values measured on wood core samples. Carbon stocks in forest biomass were assessed using two WSG data sets:(i) values measured from 303 wood core samples extracted in the study area,(ii) values derived from international databases. Results suggested that there is difference between the field and literaturebased WSG at the 0.05 level. The latter data set was on average 16 % higher than the former. However, carbon stocks calculated from the two data sets did not differ significantly at the 0.05 level. Such findings could be attributed to the form of the allometric equation used which gives more weight to tree diameter and tree height than to WSG. The choice of dataset should depend on the level of accuracy(Tier II or III) desired by REDD+. As higher levels of accuracy are rewarded by higher prices, speciesspecific WSG data would be highly desirable.
To generate carbon credits under the Reducing Emissions from Deforestation and forest Degradation program (REDD +), accurate estimates of forest carbon stocks are needed. Carbon accounting efforts have focused on carbon stocks above aboveground biomass (AGB) .Although wood specific gravity (WSG) is known to be an important variable in AGB estimates, there is currently a lack of data on WSG for Malagasy tree species. This study aims to determine whether estimates of carbon stocks calculated from literature-based WSG values differed from those based on WSG values measured on Carbon stocks in forest biomass were assessed using two WSG data sets: (i) values measured from 303 wood core samples extracted in the study area, (ii) values derived from international databases. Results suggested that there is difference between the field and literaturebased WSG at the 0.05 level. The latter data set was on average 16% higher than the former. However, carbon stocks calculated from the tw o data sets did not differ significantly at the 0.05 level. These findings could be attributed to the form of the allometric equation used which gives more weight to tree diameter and tree height than to WSG. The choice of dataset should depend on the level of accuracy (Tier II or III) desired by REDD +. As higher levels of accuracy are rewarded by higher prices, speciesspecific WSG data would be highly desirable.