TEST DEVELOPMENT OF MULTI-SPECIES ALLOMETRIC EQUATIONS FOR THE QUANTIFICATION OF THE CARBON STOCK OF SOME SPECIES OF FOREST GUINEA.

Environmental science

This study is based on the development of allometric models of the Trichilia Septentrionalis species of the classified forests of Ziama, Mont Nimba, Béro, Pic de Fonc and Diécké in Forest Guinea. Its purpose is to establish a basis for calculating carbon stocks from allometric models for estimating aboveground biomass. The tree sample consists of 375 feet of Trichilia Septentrionalis. The direct method of felling and weighing compartment by compartment of biomass is based on the use of tree samples. The criteria for selection and validity of the models are based first of all on the tests of normality, nullity, heterogeneity and autocorrelation of the residuals. Following the tests carried out, we analyzed the errors, in particular the standard residual error (CSR) and the Akaike information criterion (AIC). The results show that the power model is explicit with a residual error of 0.0443 or 4.43% and a lower AIC compared to equation (7) which has a high residual error at the same time as the AIC . Due to the fact that the standard residual errors (CSR) and the Akaike information criterion (AIC) of the other eight (8) equations are not suitable for the study of this forest species. This means that the power model is best suited to study the aboveground biomass of the species Trichilia Septentrionalis in Forest Guinea. The study confirmed the hypothesis that within the same species, the development of a specific model reflects reality more and makes it possible to quantify carbon stocks closer to reality than the generic model.

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