Impact of Additive and Non-Additive Random Environmental Perturbations on Modeling Anthropogenic Activities Affecting Forest Biodiversity
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Abstract
Anthropogenic activities considerably impact forest biodiversity. Disturbances such as deforestation, habitat fragmentation and climate change, significantly impact forest biodiversity. However, due to the inclusion of a low additive environmental perturbation on the coefficient of the depletion rate of forest resource biomass due to crowding by industrialization, the interacting variables which were fully randomized saturates to a converging value for human population density. In this scenario, grey areas for biodiversity loss due to the depletions of the forest resource biomass were captured. By providing a comprehensive understanding of the impacts of human activities on forest ecosystems, our computational approach aims to inform sustainable management practices and enhance conservation strategies. Ultimately, this study contributes to the ongoing efforts to mitigate the adverse effects of anthropogenic activities on forest biodiversity, ensuring the preservation of these vital ecosystems for future generations. In conclusion, the integration of modelling, numerical prediction, and mitigation strategies through a computational approach offers a promising pathway for addressing the challenges of anthropogenic impacts on forest biodiversity. As we move forward, continued advancements in computational techniques and collaborative efforts among stakeholders will be essential for safeguarding these vital ecosystems for future generations. The detailed results and discussions of our findings are fully presented in this study
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References
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