Abstract
Predator–prey interactions with stochastic forcing have been extensively investigated in the literature. However there are not many investigations of such models, that include prey defense. The goal of the current manuscript is to investigate a stochastic predator–prey model with mutual interference, and various Holling type functional responses, where the prey is able to release toxins as defense against a predator. This can also be generalized to include group or herd defense, toxin production and mimicry. We establish local and global existence for the stochastic model, and perform various numerical simulations to support our theoretical results. Our key result is that we have globally existing solutions independent of the magnitude of the toxin release parameter, or the predation rates. We also show that large enough noise intensity in solely the prey, can lead to extinction in the noisy model, for both species, whilst there is persistence in the deterministic model.
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References
Hassell, M.: Mutual interference between searching insect parasites. J. Anim. Ecol. 40, 473–486 (1971)
Hassell, M.: Density dependence in single species population. J. Anim. Ecol. 44, 283–295 (1975)
Allaby, M.: A dictionary of Ecology. Oxford University Press, Oxford (2010)
Wang, K.: Existence and global asymptotic stability of positive periodic solution for a predator prey system with mutual interference. Nonlinear Anal Real World Appl. 10, 2774–2783 (2009)
Wang, K.: Permanence and global asymptotical stability of a predator prey model with mutual interference. Nonlinear Anal Real World Appl. 12, 1062–1071 (2011)
Wang, K., Zhu, Y.L.: Global attractivity of positive periodic solution for a Volterra model. Appl. Math. Comput. 203, 493–501 (2008)
Wang, K., Zu, Y.: Permanence and global attractivity of a delayed predator–prey model with mutual interference. Int. J. Math. Comput. Phys. Quant. Eng. 7(3), 243–249 (2013)
Wang, K., Zhu, Y.: Periodic solutions, permanence and global attractivity of a delayed impulsive prey–predator system with mutual interference. Nonlinear Anal. Real World Appl. 14(2), 1044–1054 (2013)
Chen, L.J.: Permanence of a discrete periodic Volterra model with mutual interference. Discrete Dyn. Nat. Soc. (2009). https://doi.org/10.1155/2009/205481
Lin, X., Chen, F.D.: Almost periodic solution for a Volterra model with mutual interference and Beddington–DeAngelis functional response. Appl. Math. Comput. 214, 548–556 (2009)
Wang, X.L., Du, Z.J., Liang, J.: Existence and global attractivity of positive periodic solution to a Lotka-Volterra model. Nonlinear Anal. Real World Appl. (2010). https://doi.org/10.1016/j.nonrwa.2010.03.011
May, R.M.: Stability and Complexity in Model Ecosystems. Princeton University Press, Princeton (2001)
Upadhyay, R.K., Mukhopadhyay, A., Iyengar, S.R.K.: Influence of environmental noise on the dynamics of a realistic ecological model. Fluct. Noise Lett. 7(01), 61–77 (2007)
Liu, M., Wang, K.: Persistence and extinction of a stochastic single-species model under regime switching in a polluted environment. J. Theor. Biol. 264, 934–944 (2010)
Liu, M., Wang, K.: Population dynamical behavior of Lotka Volterra cooperative systems with random perturbations. Discrete Contin. Dyn. Syst. 33, 2495–2522 (2013)
Liu, M., Wang, K.: Dynamics of a two-prey one-predator system in random environments. J. Nonlinear Sci. 23(751), 775 (2013)
Rudnicki, R.: Long-time behaviour of a stochastic prey predator model. Stoch. Process. Appl. 108, 93–107 (2003)
Ji, C., Jiang, D., Shi, N.: Analysis of a predator–prey model with modified Leslie Gower and Holling type II schemes with stochastic perturabation. J. Math. Anal. Appl. 359(2), 482–490 (2009)
Upadhyay, R.K., Agrawal, R.: Modeling the effect of mutual interference in a delay-induced predator–prey system. J. Appl. Math. Comput. 49, 13–39 (2015)
Du, B.: Existence, extinction and global asymptotical stability of a stochastic predator–prey model with mutual interference. J. Appl. Math. Comput. 46, 79–91 (2014)
Karatzas, I., Shreve, S.: Brownian Motion and Stochastic Calculus, Graduate Texts in Mathematics, vol. 113. Springer, berlin (1988)
Xia, P.Y., Zheng, X.K., Jiang D.Q.: Persistence and non-persistence of a nonautonomous stochastic mutualism system. In: Abstract and Applied Analysis, vol. 2013, Article ID256249, 13 pp (2013)
Oksendal, B.: Stochastic Differential Equations: An Introduction with Applications. Springer, Berlin (2003)
Kloeden, P.E., Platen, E.: Numerical Solution of Stochastic Differential Equations. Springer, New York (1992)
Box, G.E., Muller, M.E.: A note on the generation of random normal deviates. Ann. Math. Stat. 29(2), 610–611 (1958)
Ji, C., Jiang, D., Shi, N.: Analysis of a predator–prey model with modified Leslie-Gower and Holling type II schemes with stochastic perturbation. J. Math. Anal. Appl. 359, 482–498 (2009)
Thakur, N.K., Tiwari, S.K., Dubey, B., Upadhyay, R.K.: Diffusive three species plankton model in the presence of toxic prey: application to Sundarban mangrove wetland. J. Biol. Syst. 25(02), 185–206 (2017)
Dubey, B., Hussain, J., Raw, S.N., Upadhyay, R.K.: Modeling the effect of pollution on biological species: a socio-ecological problem. Comput. Ecol. Softw. 5(2), 152–174 (2015)
Parshad, R., Quansah, E., Black, K., Beauregard, M.: Biological control via ecological damping: an approach that attenuates non-target effects. Math. Biosci. 273, 23–44 (2016)
Du, B., Hu, M., Lian, X.: Dynamical behavior for a stochastics predator–prey model with HV type functional response. Bull. Malays. Math. Sci. Soc. 40, 486–503 (2017)
Krivan, V.: Optimal foraging and predatorprey dynamics. Theor. Popul. Biol. 49(3), 265–290 (1996)
Du, B.: Stability analysis of periodic solution for a complex valued neural networks with bounded and unbounded delays. Asian J. Control 20(2), 881–892 (2018)
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RP would like to acknowledge valuable support from the National Science Foundation via DMS-1715377.
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Upadhyay, R.K., Parshad, R.D., Antwi-Fordjour, K. et al. Global dynamics of stochastic predator–prey model with mutual interference and prey defense. J. Appl. Math. Comput. 60, 169–190 (2019). https://doi.org/10.1007/s12190-018-1207-7
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DOI: https://doi.org/10.1007/s12190-018-1207-7