A Bioeconomic Prey-Predator Model with a Water-Pollution Modification Parameter and Stability Analysis
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Abstract
Managing interacting fish populations requires consideration of ecological processes and human pressures across reserve and unreserved zones. This study developed and analyzed a bioeconomic predator–prey model for three interacting fish populations: cichlids, tilapia, and Nile perch. The model incorporated water pollution, harvesting, migration, and predation across both zones. Equilibrium points and their existence conditions were derived, and the local stability of selected equilibria was assessed using Jacobian linearization and the Routh–Hurwitz criterion. Numerical simulations examined the effects of pollution control, predation control, and a combined strategy integrating water-quality improvement and migration. The results indicated that stronger pollution control enhanced fish population persistence in the unreserved zone. The combined strategy produced greater improvements than individual interventions, while predator–prey interactions remained integral to the modeled ecosystem. These findings highlight the potential benefits of coordinating water-quality improvement and migration management to support fish population persistence. The model provides an analytical framework for evaluating management strategies that account for pollution, harvesting, and ecological interactions in aquatic systems with reserve and unreserved zones.
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References
Badoni, P., Nazir, I., Aier, M., Maity, P. B., Samanta, S., & Das, A. (2021). Significant role of fish nutrients with special emphasis to essential fatty acid in human nutrition. International Journal of Current Microbiology and Applied Sciences, 10(2), 2034–2046. https://doi.org/10.20546/ijcmas.2021.1002.243
Cowx, I. G., Vu, A. V., Hogan, Z., Mallen-Cooper, M., Baumgartner, L. J., Lai, T. Q., Grill, G., & Sayer, C. A. (2025). Understanding the threats to fish migration: Applying the global swimways concept to the Lower Mekong. Reviews in Fisheries Science & Aquaculture, 33(2), 257–285. https://doi.org/10.1080/23308249.2024.2401018
Eurostat. (2023). Glossary: Fish catch. Statistics Explained. Retrieved December 11, 2023, from https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Glossary:Fish_catch
FishBase. (2020). FishBase: A global information system on fisheries. Retrieved December 8, 2024.
Food and Agriculture Organization of the United Nations. (2020). The state of world fisheries and aquaculture 2020. Retrieved December 8, 2024, from https://doi.org/10.4060/ca9229en
Food and Agriculture Organization of the United Nations. (2022). The state of world fisheries and aquaculture 2022: Towards blue transformation. Retrieved December 8, 2024, from https://doi.org/10.4060/cc0461en
Food and Agriculture Organization of the United Nations. (2024). The state of world fisheries and aquaculture 2024: Blue transformation in action. https://doi.org/10.4060/cd0683en
Free, C. M., Thorson, J. T., Cope, J. M., & Holsman, K. K. (2022). Climate resilience in fisheries management: A review of harvest control rules in U.S. federal fisheries. Fish and Fisheries, 23(4), 942–960.
Mayengo, M. M., Luboobi, L. S., & Kuznetsov, D. (2014). Bioeconomic model for tilapia–Nile perch fishery in polluted environment with constant harvesting efforts in Tanzanian waters of Lake Victoria. Mathematical Theory and Modeling, 4(7), 113–128. https://www.iiste.org/Journals/index.php/MTM/article/view/13722
Podder, C. N., & Gumel, A. B. (2009). Transmission dynamics of a two-sex model for herpes simplex virus type 2. Canadian Applied Mathematics Quarterly, 17(2), 339–386.
Raymond, C., Hugo, A., & Kung’aro, M. (2019). Modeling dynamics of prey-predator fishery model with harvesting: A bioeconomic model. Journal of Applied Mathematics, 2019(1), Article 2601648. https://doi.org/10.1155/2019/2601648
Umar, A., & Musa, S. (2017). On the stability of the interior equilibrium point of a bioeconomic model of prey-predator interaction with constant harvesting and reserve zones. Mathematical Theory and Modeling, 7(9), 27–44. https://www.iiste.org/Journals/index.php/MTM/article/view/38566
Verma, A. K., & Prakash, S. (2020). Status of animal phyla in different kingdom systems of biological classification. International Journal of Biological Innovations, 2(2), 149–154. https://doi.org/10.46505/IJBI.2020.2211
Yoshioka, H. (2024). Optimal harvesting policy for biological resources with uncertain heterogeneity for application in fisheries management. Natural Resource Modeling, 37(2), Article e12394. https://doi.org/10.1111/nrm.12394
Zhou, S., Smith, A. D. M., Punt, A. E., Richardson, A. J., Gibbs, M., Fulton, E. A., Pascoe, S., Bulman, C., Bayliss, P., & Sainsbury, K. (2010). Ecosystem-based fisheries management requires a change to the selective fishing philosophy. Proceedings of the National Academy of Sciences, 107(21), 9485–9489.


