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Exploring the Evolution of the Food Chain under Environmental Pollution with Mathematical Modeling and Numerical Simulation

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  • Haoming Shi

    (School of Business, Guangzhou College of Technology and Business, Guangzhou 510850, China
    School of Business, City University of Macau, Avenida Padre Tomás Pereira Taipa, Macau 999078, China)

  • Fei Xu

    (Lazaridis School of Business and Economics, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada)

  • Jinfu Cheng

    (Shanghai Documentary Academy, Shanghai University of Political Science and Law, Shanghai 200030, China)

  • Victor Shi

    (Lazaridis School of Business and Economics, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada)

Abstract

Environmental pollution has led to many ecological issues, including air, water, and soil contamination. Developing appropriate pollution control measures to mitigate these hazards and protect our environment is critical. In that respect, we developed a mathematical model to study the evolution of ecosystems containing food chains under environmental pollution. We integrate environmental pollution into a three-species food chain model, which includes a prey population, an intermediate predator population, and an apex predator population. The equilibrium points of the model are obtained and we analyze their stability. Numerical simulations are carried out to explore the dynamics of the model. The simulation results show that the model presents complex, chaotic, dynamic behaviors. Our study demonstrates that the interactions of individual populations in the food chain and the effects of environmental pollution can result in complex dynamics. The investigation provides insights into the evolution of the food chain in a polluted environment. Our research shows that pollution can disturb the equilibrium in nature, leading to complex and chaotic effects. Reducing environmental pollution can restore the food chain to an orderly state. Environmental pollution will harm the healthy development of each species in the ecosystem. Reducing pollution and restoring each species’ habitats are effective strategies for restoring a healthy ecosystem. Natural ecosystems are often polluted by domestic and industrial sources. The environmental protection department should allocate more resources to address domestic pollution and enhance domestic wastewater treatment methods. Industrial pollution can be reduced by encouraging companies to invest in treating wastewater and waste gases. It is also vital to prevent the establishment of highly polluting industries in environmentally sensitive environments.

Suggested Citation

  • Haoming Shi & Fei Xu & Jinfu Cheng & Victor Shi, 2023. "Exploring the Evolution of the Food Chain under Environmental Pollution with Mathematical Modeling and Numerical Simulation," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10232-:d:1181402
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    References listed on IDEAS

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    1. Iskin da S. Costa, Michel & dos Anjos, Lucas, 2018. "Multiple hydra effect in a predator–prey model with Allee effect and mutual interference in the predator," Ecological Modelling, Elsevier, vol. 373(C), pages 22-24.
    2. Gilmore, Claire G., 1993. "A new test for chaos," Journal of Economic Behavior & Organization, Elsevier, vol. 22(2), pages 209-237, October.
    3. Suprava Chakraborty & Devaraj Elangovan & Padma Lakshmi Govindarajan & Mohamed F. ELnaggar & Mohammed M. Alrashed & Salah Kamel, 2022. "A Comprehensive Review of Path Planning for Agricultural Ground Robots," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    4. Garai, Shilpa & Pati, N.C. & Pal, Nikhil & Layek, G.C., 2022. "Organized periodic structures and coexistence of triple attractors in a predator–prey model with fear and refuge," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    5. Dulebenets, Maxim A. & Ozguven, Eren Erman, 2017. "Vessel scheduling in liner shipping: Modeling transport of perishable assets," International Journal of Production Economics, Elsevier, vol. 184(C), pages 141-156.
    6. Das, Bijoy Kumar & Sahoo, Debgopal & Samanta, G.P., 2022. "Impact of fear in a delay-induced predator–prey system with intraspecific competition within predator species," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 191(C), pages 134-156.
    7. Alexandra Pfingstmann & Daniel Paredes & Jacob Buchholz & Pascal Querner & Thomas Bauer & Peter Strauss & Sophie Kratschmer & Silvia Winter & Johann Zaller, 2019. "Contrasting Effects of Tillage and Landscape Structure on Spiders and Springtails in Vineyards," Sustainability, MDPI, vol. 11(7), pages 1-14, April.
    8. Umar Sharif, Umi Syahirah Binti & Mohd, Mohd Hafiz, 2022. "Combined influences of environmental enrichment and harvesting mediate rich dynamics in an intraguild predation fishery system," Ecological Modelling, Elsevier, vol. 474(C).
    9. Zhang, Xinyi & Zhu, Qiande & Zhai, Aifeng & Ding, Xiaowen, 2022. "Development of interval transient pollution distribution model and its application in the Fenghuangshan drinking water source," Ecological Modelling, Elsevier, vol. 471(C).
    10. Yanlong Guo & Xingmeng Ma & Yelin Zhu & Denghang Chen & Han Zhang, 2023. "Research on Driving Factors of Forest Ecological Security: Evidence from 12 Provincial Administrative Regions in Western China," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
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