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.
| Published in | Ecology and Evolutionary Biology (Volume 4, Issue 2) |
| DOI | 10.11648/j.eeb.20190402.11 |
| Page(s) | 15-22 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Allometry, Regression, Biomass, Daniellia oliveri, Savannah of Ngaoundere, Cameroon
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APA Style
Tchindebe Alexandre, Ibrahima Adamou, Tchobsala, Mohamadou Laminou Mal Amadou. (2019). Allometric Equations for Predicting Biomass of Daniellia oliveri (Rolfe) Hutch. & Dalz. Stands in the Sudano-Guinea Savannahs of Ngaoundere, Cameroon. Ecology and Evolutionary Biology, 4(2), 15-22. https://doi.org/10.11648/j.eeb.20190402.11
ACS Style
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. Ecol. Evol. Biol. 2019, 4(2), 15-22. doi: 10.11648/j.eeb.20190402.11
AMA Style
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. Ecol Evol Biol. 2019;4(2):15-22. doi: 10.11648/j.eeb.20190402.11
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Download@article{10.11648/j.eeb.20190402.11,
author = {Tchindebe Alexandre and Ibrahima Adamou and Tchobsala and Mohamadou Laminou Mal Amadou},
title = {Allometric Equations for Predicting Biomass of Daniellia oliveri (Rolfe) Hutch. & Dalz. Stands in the Sudano-Guinea Savannahs of Ngaoundere, Cameroon},
journal = {Ecology and Evolutionary Biology},
volume = {4},
number = {2},
pages = {15-22},
doi = {10.11648/j.eeb.20190402.11},
url = {https://doi.org/10.11648/j.eeb.20190402.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eeb.20190402.11},
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.},
year = {2019}
}
TY - JOUR T1 - Allometric Equations for Predicting Biomass of Daniellia oliveri (Rolfe) Hutch. & Dalz. Stands in the Sudano-Guinea Savannahs of Ngaoundere, Cameroon AU - Tchindebe Alexandre AU - Ibrahima Adamou AU - Tchobsala AU - Mohamadou Laminou Mal Amadou Y1 - 2019/08/10 PY - 2019 N1 - https://doi.org/10.11648/j.eeb.20190402.11 DO - 10.11648/j.eeb.20190402.11 T2 - Ecology and Evolutionary Biology JF - Ecology and Evolutionary Biology JO - Ecology and Evolutionary Biology SP - 15 EP - 22 PB - Science Publishing Group SN - 2575-3762 UR - https://doi.org/10.11648/j.eeb.20190402.11 AB - 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. VL - 4 IS - 2 ER -