Volume 4, Issue 2, June 2019, Page: 15-22
Allometric Equations for Predicting Biomass of Daniellia oliveri (Rolfe) Hutch. & Dalz. Stands in the Sudano-Guinea Savannahs of Ngaoundere, Cameroon
Tchindebe Alexandre, Department of Biological Sciences, Faculty of Sciences, the University of Ngaoundere, Ngaoundere, Cameroon
Ibrahima Adamou, Department of Biological Sciences, Faculty of Sciences, the University of Ngaoundere, Ngaoundere, Cameroon
Tchobsala ,
Mohamadou Laminou Mal Amadou, Department of Biological Sciences, Faculty of Sciences, the University of Ngaoundere, Ngaoundere, Cameroon
Received: Apr. 27, 2019;       Accepted: Jun. 18, 2019;       Published: Aug. 10, 2019
DOI: 10.11648/j.eeb.20190402.11      View  16      Downloads  3
Abstract
Allometric relationships for estimating biomass of Daniellia oliveri (Rolfe) Hutch & Dalz. stand were investigated in the sudano-guinea savannah of Ngaoundere, Cameroon. A total of 17 individual trees from Daniellia oliveri were harvested in Bini-Dang savannah across a range of diameter classes, from 5 to 40 cm. Diameter at breast height (D) and total height (H) were determined and considered as predictor variables, while total above-ground biomass, stem, branch, leaf and root biomass were the output variables of the allometric models. Among many models tested, the best ones were chosen according to the coefficient of determination adjusted (R2adj), the residual standard error (RSE) and the Akaike Information Criteria. The main results showed that the multiplication of tree H with D in the allometric equation did not improve in the degree of fitness of the allometric equations, except for leaf biomass. The fit allometric biomass of Daniellia oliveri model for leaf, branch, stem and root biomass and above ground biomass were the follow: Ln(Bl)= 3.0303 + 0.744*Ln(D2H); Ln(Bb) = 3.772 + 2.701*Ln(D); Ln(Bs) = 2.663 + 2.218*Ln(D), Ln(Br) = 2.072 + 1.920*Ln(D) and Ln(Bt) = -2.089 + 2.374*Ln(D) respectively. The root biomass represented on average 28% of the total aboveground biomass and these two biomasses were positively and significantly correlated (r = 0.93, p ˂ 0.05 and n = 11). For the Daniellia oliveri stands studied, the diameter at breast height (D) alone showed a very strong accuracy of estimation. It is concluded that the use of tree height in the allometric equation can be neglected for the species, as far as the present study area is concerned. Therefore, for estimating the biomass of Daniellia oliveri, the use of D as an independent variable in the allometric equation with a power equation would be recommended. The paper describes details of tree biomass allometry, which is important in carbon stock, sylviculture and savannah management.
Keywords
Allometry, Regression, Biomass, Daniellia oliveri, Savannah of Ngaoundere, Cameroon
To cite this article
Tchindebe Alexandre, Ibrahima Adamou, Tchobsala , Mohamadou Laminou Mal Amadou, Allometric Equations for Predicting Biomass of Daniellia oliveri (Rolfe) Hutch. & Dalz. Stands in the Sudano-Guinea Savannahs of Ngaoundere, Cameroon, Ecology and Evolutionary Biology. Vol. 4, No. 2, 2019, pp. 15-22. doi: 10.11648/j.eeb.20190402.11
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Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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