Abstract
This study explores the hierarchical dynamics of a predator model in which the population of prey is comprised of two classes: susceptible and infected (SI) prey including the non-selective prey harvesting. The system’s points of equilibrium are found. The model’s stability properties were tested by both locally and globally. Next, we have implemented the stochastic perturbations and indicated that the deterministic model of stochastic perturbations is robust. The stochastic perturbations effects on the dynamics were discussed via simulations. The deterministic method results in a stochastic system with an effect of atmospheric random noise were presented. That is, we have explored the SI prey–predator model’s stability incorporating prey harvesting by introducing stochastic perturbations that were not previously studied. Finally, some numerical examples and diagrams help our complex dynamics of our model using time series diagrams and phase portraits which supports our theoretical results. Parallel to this, we presented the time series diagram and phase portraits for the stochastic perturbation system.
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References
Johri, A., Trivedi, N., Sisodiya, A., Sing, B., & Jain, S. (2012). Study of a prey-predator model with diseased prey. International Journal of Contemporary Mathematical Sciences, 7(10), 489–498.
Mukherjee, D. (2003). Stability analysis of a stochastic model for prey-predator system with disease in the prey. Nonlinear Analysis: Modelling and Control, 8(2), 83–92.
Rao, V. L. G. M., Rasappan, S., Murugesan, R., & Srinivasan, V. (2015). A prey predator model with vulnerable infected prey consisting of non-linear feedback. Applied Mathematical Sciences, 9(42), 2091–2102.
Wuhaib, S. A., & Hasan, Y. A. (2012). A Prey Predator Model. Applied Mathematical Sciences, 6(107), 5333–5348.
Bairagi, N., Chaudhuri, S., & Chattopadhyay, J. (2009). Harvesting as a disease control measure in an eco-epidemiological system–a theoretical study. Mathematical Biosciences, 217(2), 134–144.
Kar, T. K., & Matsuda, H. (2007). Global dynamics and controllability of a harvested prey–predator system with Holling type III functional response. Nonlinear Analysis: Hybrid Systems, 1(1), 59–67.
Peterson, R. O., & Page, R. E. (1987). Wolf density as a predictor of predation rate. Swedish Wildlife Research (Sweden).
Cai, G. Q., & Lin, Y. K. (2007). Stochastic analysis of predator–prey type ecosystems. Ecological Complexity, 4(4), 242–249.
Gikhman, I. I., & Skorokhod, A. V. (2004). The Theory of Stochastic Process I. Berlin Heidelberg: Springer-Verlag.
Das, K., Srinivas, M. N., Srinivas, M. A. S., & Gazi, N. H. (2012). Chaotic dynamics of a three species prey–predator competition model with bionomic harvesting due to delayed environmental noise as external driving force. Comptes Rendus Biologies, 335(8), 503–513.
Srinivas, M., Reddy, K., Das, K., Sabarmathi, A., & Das, P. (2014). Stochastic effects on an ecosystem with predation, commensalism, mutualism and neutralism. Journal of Advanced Research in Dynamic Control Systems, 6, 62–78.
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Vijaya Lakshmi, G.M., Rasappan, S., Rajan, P. (2021). A Study of Stochastic Ecological Model with Prey Harvesting as a Tool of Disease Control. In: Peng, SL., Hao, RX., Pal, S. (eds) Proceedings of First International Conference on Mathematical Modeling and Computational Science. Advances in Intelligent Systems and Computing, vol 1292. Springer, Singapore. https://doi.org/10.1007/978-981-33-4389-4_2
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DOI: https://doi.org/10.1007/978-981-33-4389-4_2
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