2021
DOI: 10.31586/rjees.2021.156
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Allometric Models for Predicting Biomass and Carbon Pools of Boscia Senegalensis(Pers.) Lam. Ex Poir. (Capparaceae) Populations in Central Africa: A Case Study from Cameroon

Abstract: Accurate estimates of above-ground biomass (AGB) and below-ground biomass (BGB) are essential for estimating carbon (C) balances at various geographical scales and formulating effective climate change mitigation programs. This study aimed to formulate specific allometric equations and carbon stock for B. senegalensis in Cameroon. Destructive sampling technique was used for harvesting and weighing the biomass of 40 individual trees. Allometric models were developed using biomass as dependent variable and tree d… Show more

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Cited by 2 publications
(4 citation statements)
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“…Biomass estimation models vary according to the diferent compartments of Teobroma cacao. Te results of this study are similar to those obtained by [36] who showed a variation in allometric equations depending on the parts of the tree. Among the variables explaining the biomass of Teobroma cacao, the diameter appears to be a good predictor with an R 2 greater than 94%.…”
Section: Discussionsupporting
confidence: 91%
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“…Biomass estimation models vary according to the diferent compartments of Teobroma cacao. Te results of this study are similar to those obtained by [36] who showed a variation in allometric equations depending on the parts of the tree. Among the variables explaining the biomass of Teobroma cacao, the diameter appears to be a good predictor with an R 2 greater than 94%.…”
Section: Discussionsupporting
confidence: 91%
“…With this in mind, this study made it possible to develop single-specifc equations for the estimation of the aboveground, belowground, and total biomass of Teobroma cacao in a diameter range between 5 and 27 cm. Tis result is similar to those of Victor Awé et al [36] (5.76 and 24.80 cm) for the allometric equation of Boscia senegalensis developed in Cameroon. Te allometric models developed vary from one compartment to another.…”
Section: Discussionsupporting
confidence: 90%
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