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Licensed Unlicensed Requires Authentication Published by De Gruyter January 29, 2021

Dynamical behaviors of a prey-predator model with foraging arena scheme in polluted environments

  • Xin He , Xin Zhao , Tao Feng and Zhipeng Qiu EMAIL logo
From the journal Mathematica Slovaca

Abstract

In this paper, a stochastic prey-predator model is investigated and analyzed, which possesses foraging arena scheme in polluted environments. Sufficient conditions are established for the extinction and persistence in the mean. These conditions provide a threshold that determines the persistence in the mean and extinction of species. Furthermore, it is also shown that the stochastic system has a periodic solution under appropriate conditions. Finally, several numerical examples are carried on to demonstrate the analytical results.

MSC 2010: Primary 92B05; 60J65

Z. Qiu is supported by the National Natural Science Foundation of China (NSFC) grant No. 12071217 and No. 11671206; T. Feng is supported by the Scholarship Foundation of China Scholarship Council grant No. 201806840120, the Postgraduate Research & Practice Innovation Program of Jiangsu Province grant No. KYCX18_0370 and the Fundamental Research Funds for the Central Universities grant No. 30918011339; X. Zhao is supported by the Scholarship Foundation of China Scholarship Council grant No. 201906840072


  1. (Communicated by Michal Fečkan)

References

[1] Ahrens, R. N.—Walters, C. J.—Chrustensen, V.: Foraging arena theory, Fish and Fisheries 13 (2012), 41–59.10.1111/j.1467-2979.2011.00432.xSearch in Google Scholar

[2] Akman, O.—Comar, T. D.—Hrozencik, D.: Model selection for integrated pest management with stochasticity, J. Theor. Biol. 442 (2018), 110–122.10.1016/j.jtbi.2017.12.005Search in Google Scholar

[3] Beddington, J. R.: Mutual interference between parasites or predators and its effect on searching efficiency, J. Anim. Ecol. 44 (1975), 331–340.10.2307/3866Search in Google Scholar

[4] Cai, Y.—Mao, X.: Stochastic prey-predator system with foraging arena scheme, Appl. Math Model. 64 (2018), 357–371.10.1016/j.apm.2018.07.034Search in Google Scholar

[5] Deangelis, D. L.—Goldstein, R. A.—O’neill, R. V.: A model for tropic interaction, Ecology 56 (1975), 881–892.10.2307/1936298Search in Google Scholar

[6] Feng, T.—Qiu, Z.: Global analysis of a stochastic tb model with vaccination and treatment, Discr. Contin. Dyn. Syst. Ser. B. 24 (2019), 2923–2939.10.3934/dcdsb.2018292Search in Google Scholar

[7] Feng, T.—Qiu, Z.—Meng, X.: Stochastic hepatitis c virus system with host immunity, Discr. Contin. Dyn. Syst. Ser. B. 24 (2019), 6367–6385.10.3934/dcdsb.2019143Search in Google Scholar

[8] 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 (2009), 482–498.10.1016/j.jmaa.2009.05.039Search in Google Scholar

[9] Hallam, T. G.—Clark, C. E.—Lassiter, R. R.: Effects of toxicants on populations: a qualitative approach I. Equilibrium environmental exposure, Ecol. Modell. 18 (1983), 291–304.10.1016/0304-3800(83)90019-4Search in Google Scholar

[10] Hallam, T. G.—Luna, J.: Effects of toxicants on populations: A qualitative: Approach III. Environmental and food chain pathways, J. Theor. Biol. 109 (1984), 411–429.10.1016/S0022-5193(84)80090-9Search in Google Scholar

[11] Han, Q.—Jiang, D.—Ji, C.: Analysis of a delayed stochastic predator-prey model in a polluted environment, Appl. Math. Model. 38 (2014), 3067–3080.10.1016/j.apm.2013.11.014Search in Google Scholar

[12] Higham, D. J.: An algorithmic introduction to numerical simulation of stochastic differential equations, SIAM Rev. 43 (2001), 525–546.10.1137/S0036144500378302Search in Google Scholar

[13] Holling, C. S.: The components of predation as revealed by a study of small-mammal predation of the european pine sawfly, Can. Entomol. 91 (1959), 293–320.10.4039/Ent91293-5Search in Google Scholar

[14] Holling, C. S.: Some characteristics of simple types of predation and parasitism, Can. Entomol. 91 (1959), 385–398.10.4039/Ent91385-7Search in Google Scholar

[15] Holling, C. S.: The functional response of predators to prey density and its role in mimicry and population regulation, Can. Entomol. 97 (1965), 5–60.10.4039/entm9745fvSearch in Google Scholar

[16] Ji, C.—Jiang, D.—Lei, D.: Dynamical behavior of a one predator and two independent preys system with stochastic perturbations, Phys. A: Stat. Mech. Appl. 515 (2019), 649–664.10.1016/j.physa.2018.10.006Search in Google Scholar

[17] Khasminskii, R.: Stochastic Stability of Differential Equations, Springer Science, Business Media, 2011.10.1007/978-3-642-23280-0Search in Google Scholar

[18] Krause, A. L.—Kurowski, L.—Yawar, K.—van Goeder, R. A.: Stochastic epidemic metapopulation models on networks: Sis dynamics and control strategies, J. Theor. Biol. 449 (2018), 35–52.10.1016/j.jtbi.2018.04.023Search in Google Scholar PubMed

[19] Li, X.—Mao, X.: Population dynamical behavior of non-autonomous lotka-Volterra competitive system with random perturbation, Discr. Contin. Dyn. Syst. A. 24 (2009), 523–593.10.3934/dcds.2009.24.523Search in Google Scholar

[20] Liu, Q.—Jiang, D.—Hayat, T.—Alsaedi, A.: Dynamics of a stochastic predator-prey model with stage structure for predator and holling type ii functional response, J. Nonlinear. Sci. 28 (2018), 1151–1187.10.1007/s00332-018-9444-3Search in Google Scholar

[21] Liu, Z.—Liu, Q.: Persistence and extinction of a stochastic delay predator-prey model in a polluted environment, Math. Slovaca. 66 (2016), 95–106.10.1515/ms-2015-0119Search in Google Scholar

[22] Liu, M.—Wang.: Survival analysis of stochastic single-species population models in polluted environments, Ecol. Model. 220 (2009), 1347–1357.10.1016/j.ecolmodel.2009.03.001Search in Google Scholar

[23] Liu, M.—Wang, K.—Wu, Q.: Survival analysis of stochastic competitive models in a polluted environment and stochastic competitive exclusion principle, Bull. Math. Biol. 73 (2011), 1969–2012.10.1007/s11538-010-9569-5Search in Google Scholar

[24] Lotka, A. J.: Elements of Physical Biology, Williams and Wilkins, 1925.Search in Google Scholar

[25] Lv, J.—Wang, K.: Asymptotic properties of a stochastic predator-prey system with Holling II functional response, Commun. Nonlinear. Sci. Numer. Simul. 16 (2011), 4037–4048.10.1016/j.cnsns.2011.01.015Search in Google Scholar

[26] Ma, Z.—Cui, G.—Wang, W.: Persistence and extinction of a population in a polluted environment, Math. Biosci. 101 (1990), 75–97.10.1016/0025-5564(90)90103-6Search in Google Scholar

[27] Mao, X.: Stochastic Differential Equations and Applications, Elsevier, 2007.10.1533/9780857099402Search in Google Scholar

[28] Meng, X.—Wang, L.—Zhang, T.: Global dynamics analysis of a nonlinear impulsive stochastic chemostat system in a polluted environment, J. Anal. Appl. Comput. 6 (2016), 865–875.Search in Google Scholar

[29] Nguyen, D. H.—Yin, G.: Coexistence and exclusion of stochastic competitive Lotka-Volterra models, J. Differential Equations 262 (2017), 1192–1225.10.1016/j.jde.2016.10.005Search in Google Scholar

[30] Pang, S.—Deng, F.—Mao, X.: Asymptotic properties of stochastic population dynamics, Dynam. Cont. Dis. Ser. A 15 (2008), 603–620.Search in Google Scholar

[31] Rao, F.—Castillo-Chavez, C.—Kang, Y.: Dynamics of a stochastic delayed harrison-type predation model: Effects of delay and stochastic components, Math. Biosci. Eng. 15 (2018), 1401–1423.10.3934/mbe.2018064Search in Google Scholar PubMed

[32] Volterra, V.: Variazioni e Fluttuazioni del Numero d'Individui in Specie Animali Conviventi, C. Ferrari, 1927.Search in Google Scholar

Received: 2019-12-27
Accepted: 2020-04-26
Published Online: 2021-01-29
Published in Print: 2021-02-23

© 2021 Mathematical Institute Slovak Academy of Sciences

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