ON THE IMPLICATION OF A SCENERIO OF A RANDOM ENVIRONMENTAL PERTURBATION ON MANGROVE FOREST RELATIVE ABUNDANCE DUE TO ANTHROPOGENIC ACTIVITIES USING NUMERICAL COMPUTATIONAL APPROACH

Authors

  • AMADI U. C. Department of Mathematics and Statistics, Faculty of Sciences, Federal University, Otueke. Author

DOI:

https://doi.org/10.70382/sjasor.v10i9.043

Keywords:

Numerical Simulation, Relative Biomass, Biological Diversity, Mathematical Modeling

Abstract

In studying the sensitivity analysis of mangrove forest relative abundance due to anthropogenic activities using numerical computational approach. for a time, interval of 0(10)120months using Matlab ODE45 numerical scheme, three different mangrove sites which are N21, N22 and N23 in the Niger delta and considered as natural mangrove forest vegetation sites in the absence of artisanal hydrocarbon whereas N1, N2 and N3 were considered as present of artisanal hydrocarbon. the numerical simulated data base shows that on the based day of our experimental time here called the initial condition, the relative abundance of the first site N1 was recorded as 0.01 units whereas sites N2 and N3 records 0.01units same values each as well. Furthermore, from the tenth (10th) month up to the one hundred and twentieth (120th) months, the data base result shows a monotonic decreasing pattern in the relative abundance in the coordinates of N1, N2 and N3 upto ecological extinction on the 20th month for the N1 coordinates as follows by N2 and N3 on the 30th month and then a fluctuating pattern with degenerate coordinates on all the coordinates N1, N2 and N3. These observations shows that the N1 coordinates went into an early ecological extinction follows by N1 and N3 and then further fluctuation to degeneracy. The novel result is presented and discussed as well.

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Published

2025-11-23

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How to Cite

AMADI U. C. (2025). ON THE IMPLICATION OF A SCENERIO OF A RANDOM ENVIRONMENTAL PERTURBATION ON MANGROVE FOREST RELATIVE ABUNDANCE DUE TO ANTHROPOGENIC ACTIVITIES USING NUMERICAL COMPUTATIONAL APPROACH. Journal of Advanced Science and Optimization Research, 10(9). https://doi.org/10.70382/sjasor.v10i9.043

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