On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria

Oluwafemi Samuel Oyamakin; Peter Shina Adebayo

doi:doi:10.11648/j.ajbes.20220803.15

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On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria

Oluwafemi Samuel Oyamakin, Peter Shina Adebayo

Published in American Journal of Biological and Environmental Statistics (Volume 8, Issue 3)

Received: 26 May 2022 Accepted: 4 July 2022 Published: 29 July 2022

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Abstract

Allometric models are important for quantifying biomass and carbon storage in terrestrial ecosystems. Generalized allometry exists for tropical trees but species- and site-specific models are more accurate. This paper is to investigate forest inventory data extracted from the Forestry Research Institute of Nigeria (FRIN) repository to compute the Above Ground Biomass (AGB) for five tree species namely; Terminalia Superba, Bombax Rhodognaphadon, Gmelina Arborea, Mansonia Altissima, Pinus Caribaea, Khaya Senegalensis, Khaya Grandifoliola and Shorea Robusta. Allometric models were used with the least squares’ parameter estimates derived from the Marquardt algorithm to compute the above ground biomass of the five tree species selected. Descriptive Statistics alongside selected methods in inferential and non-parametric statistics such as Runs, Normality (KS & SW), and F-tests were done. Model selection criteria such as AIC, BIC, R², MSE, MAE and RSE were used to select the most appropriate models for modeling AGB of the selected tree species. Chave. Model (2005) fitted best the computed AGB for Bombax Rhodognaphadon and Terminalia Superba while Brown. Moist model (1989) fitted best the AGB of Gmelina Arborea, Khaya Senegalensis, Khaya Grandifoliola and Mansonia Altissima.

Published in	American Journal of Biological and Environmental Statistics (Volume 8, Issue 3)
DOI	10.11648/j.ajbes.20220803.15
Page(s)	81-92
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), 2022. Published by Science Publishing Group

Keywords

Above Ground Biomass, Carbon Sequestration, Statistical Modeling, Non-linear Models, Allometric Models

References

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APA Style

Oluwafemi Samuel Oyamakin, Peter Shina Adebayo. (2022). On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria. American Journal of Biological and Environmental Statistics, 8(3), 81-92. https://doi.org/10.11648/j.ajbes.20220803.15

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ACS Style

Oluwafemi Samuel Oyamakin; Peter Shina Adebayo. On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria. Am. J. Biol. Environ. Stat. 2022, 8(3), 81-92. doi: 10.11648/j.ajbes.20220803.15

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AMA Style

Oluwafemi Samuel Oyamakin, Peter Shina Adebayo. On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria. Am J Biol Environ Stat. 2022;8(3):81-92. doi: 10.11648/j.ajbes.20220803.15

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@article{10.11648/j.ajbes.20220803.15,
  author = {Oluwafemi Samuel Oyamakin and Peter Shina Adebayo},
  title = {On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria},
  journal = {American Journal of Biological and Environmental Statistics},
  volume = {8},
  number = {3},
  pages = {81-92},
  doi = {10.11648/j.ajbes.20220803.15},
  url = {https://doi.org/10.11648/j.ajbes.20220803.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20220803.15},
  abstract = {Allometric models are important for quantifying biomass and carbon storage in terrestrial ecosystems. Generalized allometry exists for tropical trees but species- and site-specific models are more accurate. This paper is to investigate forest inventory data extracted from the Forestry Research Institute of Nigeria (FRIN) repository to compute the Above Ground Biomass (AGB) for five tree species namely; Terminalia Superba, Bombax Rhodognaphadon, Gmelina Arborea, Mansonia Altissima, Pinus Caribaea, Khaya Senegalensis, Khaya Grandifoliola and Shorea Robusta. Allometric models were used with the least squares’ parameter estimates derived from the Marquardt algorithm to compute the above ground biomass of the five tree species selected. Descriptive Statistics alongside selected methods in inferential and non-parametric statistics such as Runs, Normality (KS & SW), and F-tests were done. Model selection criteria such as AIC, BIC, R2, MSE, MAE and RSE were used to select the most appropriate models for modeling AGB of the selected tree species. Chave. Model (2005) fitted best the computed AGB for Bombax Rhodognaphadon and Terminalia Superba while Brown. Moist model (1989) fitted best the AGB of Gmelina Arborea, Khaya Senegalensis, Khaya Grandifoliola and Mansonia Altissima.},
 year = {2022}
}

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TY  - JOUR
T1  - On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria
AU  - Oluwafemi Samuel Oyamakin
AU  - Peter Shina Adebayo
Y1  - 2022/07/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ajbes.20220803.15
DO  - 10.11648/j.ajbes.20220803.15
T2  - American Journal of Biological and Environmental Statistics
JF  - American Journal of Biological and Environmental Statistics
JO  - American Journal of Biological and Environmental Statistics
SP  - 81
EP  - 92
PB  - Science Publishing Group
SN  - 2471-979X
UR  - https://doi.org/10.11648/j.ajbes.20220803.15
AB  - Allometric models are important for quantifying biomass and carbon storage in terrestrial ecosystems. Generalized allometry exists for tropical trees but species- and site-specific models are more accurate. This paper is to investigate forest inventory data extracted from the Forestry Research Institute of Nigeria (FRIN) repository to compute the Above Ground Biomass (AGB) for five tree species namely; Terminalia Superba, Bombax Rhodognaphadon, Gmelina Arborea, Mansonia Altissima, Pinus Caribaea, Khaya Senegalensis, Khaya Grandifoliola and Shorea Robusta. Allometric models were used with the least squares’ parameter estimates derived from the Marquardt algorithm to compute the above ground biomass of the five tree species selected. Descriptive Statistics alongside selected methods in inferential and non-parametric statistics such as Runs, Normality (KS & SW), and F-tests were done. Model selection criteria such as AIC, BIC, R2, MSE, MAE and RSE were used to select the most appropriate models for modeling AGB of the selected tree species. Chave. Model (2005) fitted best the computed AGB for Bombax Rhodognaphadon and Terminalia Superba while Brown. Moist model (1989) fitted best the AGB of Gmelina Arborea, Khaya Senegalensis, Khaya Grandifoliola and Mansonia Altissima.
VL  - 8
IS  - 3
ER  -

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Author Information

Oluwafemi Samuel Oyamakin

Biostatistics Unit, Department of Statistics, University of Ibadan, Ibadan, Nigeria
Peter Shina Adebayo

Biostatistics Unit, Department of Statistics, University of Ibadan, Ibadan, Nigeria

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APA Style

Oluwafemi Samuel Oyamakin, Peter Shina Adebayo. (2022). On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria. American Journal of Biological and Environmental Statistics, 8(3), 81-92. https://doi.org/10.11648/j.ajbes.20220803.15

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ACS Style

Oluwafemi Samuel Oyamakin; Peter Shina Adebayo. On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria. Am. J. Biol. Environ. Stat. 2022, 8(3), 81-92. doi: 10.11648/j.ajbes.20220803.15

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AMA Style

Oluwafemi Samuel Oyamakin, Peter Shina Adebayo. On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria. Am J Biol Environ Stat. 2022;8(3):81-92. doi: 10.11648/j.ajbes.20220803.15

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@article{10.11648/j.ajbes.20220803.15,
  author = {Oluwafemi Samuel Oyamakin and Peter Shina Adebayo},
  title = {On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria},
  journal = {American Journal of Biological and Environmental Statistics},
  volume = {8},
  number = {3},
  pages = {81-92},
  doi = {10.11648/j.ajbes.20220803.15},
  url = {https://doi.org/10.11648/j.ajbes.20220803.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20220803.15},
  abstract = {Allometric models are important for quantifying biomass and carbon storage in terrestrial ecosystems. Generalized allometry exists for tropical trees but species- and site-specific models are more accurate. This paper is to investigate forest inventory data extracted from the Forestry Research Institute of Nigeria (FRIN) repository to compute the Above Ground Biomass (AGB) for five tree species namely; Terminalia Superba, Bombax Rhodognaphadon, Gmelina Arborea, Mansonia Altissima, Pinus Caribaea, Khaya Senegalensis, Khaya Grandifoliola and Shorea Robusta. Allometric models were used with the least squares’ parameter estimates derived from the Marquardt algorithm to compute the above ground biomass of the five tree species selected. Descriptive Statistics alongside selected methods in inferential and non-parametric statistics such as Runs, Normality (KS & SW), and F-tests were done. Model selection criteria such as AIC, BIC, R2, MSE, MAE and RSE were used to select the most appropriate models for modeling AGB of the selected tree species. Chave. Model (2005) fitted best the computed AGB for Bombax Rhodognaphadon and Terminalia Superba while Brown. Moist model (1989) fitted best the AGB of Gmelina Arborea, Khaya Senegalensis, Khaya Grandifoliola and Mansonia Altissima.},
 year = {2022}
}

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TY  - JOUR
T1  - On Carbon Sequestration Based on Above Ground Biomass (AGB) Modeling of Selected Tree Species in Nigeria
AU  - Oluwafemi Samuel Oyamakin
AU  - Peter Shina Adebayo
Y1  - 2022/07/29
PY  - 2022
N1  - https://doi.org/10.11648/j.ajbes.20220803.15
DO  - 10.11648/j.ajbes.20220803.15
T2  - American Journal of Biological and Environmental Statistics
JF  - American Journal of Biological and Environmental Statistics
JO  - American Journal of Biological and Environmental Statistics
SP  - 81
EP  - 92
PB  - Science Publishing Group
SN  - 2471-979X
UR  - https://doi.org/10.11648/j.ajbes.20220803.15
AB  - Allometric models are important for quantifying biomass and carbon storage in terrestrial ecosystems. Generalized allometry exists for tropical trees but species- and site-specific models are more accurate. This paper is to investigate forest inventory data extracted from the Forestry Research Institute of Nigeria (FRIN) repository to compute the Above Ground Biomass (AGB) for five tree species namely; Terminalia Superba, Bombax Rhodognaphadon, Gmelina Arborea, Mansonia Altissima, Pinus Caribaea, Khaya Senegalensis, Khaya Grandifoliola and Shorea Robusta. Allometric models were used with the least squares’ parameter estimates derived from the Marquardt algorithm to compute the above ground biomass of the five tree species selected. Descriptive Statistics alongside selected methods in inferential and non-parametric statistics such as Runs, Normality (KS & SW), and F-tests were done. Model selection criteria such as AIC, BIC, R2, MSE, MAE and RSE were used to select the most appropriate models for modeling AGB of the selected tree species. Chave. Model (2005) fitted best the computed AGB for Bombax Rhodognaphadon and Terminalia Superba while Brown. Moist model (1989) fitted best the AGB of Gmelina Arborea, Khaya Senegalensis, Khaya Grandifoliola and Mansonia Altissima.
VL  - 8
IS  - 3
ER  -

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