Mathematical modelling and simulation of dynamical system have drawn attention in recent times. In addition, there has been so much interest in dynamical characteristics of population model. Forest biomass system happens to play an important role in population dynamics. The study of forests and forestry preservation has gained tremendous attention in government, among individuals and researchers. The ecological dynamical system is highly vulnerable to random perturbation which can be attributed to the other environmental and climatic factors and other characteristics of the ecosystem. However, there are two factors that may have a high potential to influence the performance of biodiversity gain or loss. Therefore, this study focusses on the effect of a random disturbance of five different degrees on the forestry biomass, the density of the wood-based industry and the density of the synthetic based industry. The ODE 45 solver have been used to tackle this problem. We have utilized the technique of a numerical simulation to predict that a higher random noise perturbation has the potential to predict higher degree of biodiversity gain than a lower random noise. The result indicates that not all random noise driven factors do predict biodiversity loss. These are presented and fully discussed. quantitatively.
| Published in | Pure and Applied Mathematics Journal (Volume 11, Issue 6) |
| DOI | 10.11648/j.pamj.20221106.14 |
| Page(s) | 121-125 |
| 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 |
Biomass, Random Noise, Biodiversity, Density, Numerical Scheme
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APA Style
Bazuaye Frank Etin-Osa, Musa Alex, Ezeora Jeremiah. (2022). Simulation for Mathematical Modelling of the Effects of a Random Disturbance on Biodiversity of Forestry Biomass. Pure and Applied Mathematics Journal, 11(6), 121-125. https://doi.org/10.11648/j.pamj.20221106.14
ACS Style
Bazuaye Frank Etin-Osa; Musa Alex; Ezeora Jeremiah. Simulation for Mathematical Modelling of the Effects of a Random Disturbance on Biodiversity of Forestry Biomass. Pure Appl. Math. J. 2022, 11(6), 121-125. doi: 10.11648/j.pamj.20221106.14
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Download@article{10.11648/j.pamj.20221106.14,
author = {Bazuaye Frank Etin-Osa and Musa Alex and Ezeora Jeremiah},
title = {Simulation for Mathematical Modelling of the Effects of a Random Disturbance on Biodiversity of Forestry Biomass},
journal = {Pure and Applied Mathematics Journal},
volume = {11},
number = {6},
pages = {121-125},
doi = {10.11648/j.pamj.20221106.14},
url = {https://doi.org/10.11648/j.pamj.20221106.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pamj.20221106.14},
abstract = {Mathematical modelling and simulation of dynamical system have drawn attention in recent times. In addition, there has been so much interest in dynamical characteristics of population model. Forest biomass system happens to play an important role in population dynamics. The study of forests and forestry preservation has gained tremendous attention in government, among individuals and researchers. The ecological dynamical system is highly vulnerable to random perturbation which can be attributed to the other environmental and climatic factors and other characteristics of the ecosystem. However, there are two factors that may have a high potential to influence the performance of biodiversity gain or loss. Therefore, this study focusses on the effect of a random disturbance of five different degrees on the forestry biomass, the density of the wood-based industry and the density of the synthetic based industry. The ODE 45 solver have been used to tackle this problem. We have utilized the technique of a numerical simulation to predict that a higher random noise perturbation has the potential to predict higher degree of biodiversity gain than a lower random noise. The result indicates that not all random noise driven factors do predict biodiversity loss. These are presented and fully discussed. quantitatively.},
year = {2022}
}
TY - JOUR T1 - Simulation for Mathematical Modelling of the Effects of a Random Disturbance on Biodiversity of Forestry Biomass AU - Bazuaye Frank Etin-Osa AU - Musa Alex AU - Ezeora Jeremiah Y1 - 2022/12/15 PY - 2022 N1 - https://doi.org/10.11648/j.pamj.20221106.14 DO - 10.11648/j.pamj.20221106.14 T2 - Pure and Applied Mathematics Journal JF - Pure and Applied Mathematics Journal JO - Pure and Applied Mathematics Journal SP - 121 EP - 125 PB - Science Publishing Group SN - 2326-9812 UR - https://doi.org/10.11648/j.pamj.20221106.14 AB - Mathematical modelling and simulation of dynamical system have drawn attention in recent times. In addition, there has been so much interest in dynamical characteristics of population model. Forest biomass system happens to play an important role in population dynamics. The study of forests and forestry preservation has gained tremendous attention in government, among individuals and researchers. The ecological dynamical system is highly vulnerable to random perturbation which can be attributed to the other environmental and climatic factors and other characteristics of the ecosystem. However, there are two factors that may have a high potential to influence the performance of biodiversity gain or loss. Therefore, this study focusses on the effect of a random disturbance of five different degrees on the forestry biomass, the density of the wood-based industry and the density of the synthetic based industry. The ODE 45 solver have been used to tackle this problem. We have utilized the technique of a numerical simulation to predict that a higher random noise perturbation has the potential to predict higher degree of biodiversity gain than a lower random noise. The result indicates that not all random noise driven factors do predict biodiversity loss. These are presented and fully discussed. quantitatively. VL - 11 IS - 6 ER -
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