Research article

Survival analysis of single-species population diffusion models with chemotaxis in polluted environment

  • Received: 14 April 2020 Accepted: 17 August 2020 Published: 01 September 2020
  • MSC : 92B05, 92D25, 93E03

  • In this paper, single-species population diffusion models with chemotaxis in polluted environment are proposed and studied. For the deterministic single-species population diffusion model, the sufficient conditions for the extinction and strong persistence of the single-species population are established. For the stochastic single-species population diffusion model. First, we show that system has unique global positive solution. And then, the sufficient conditions for extinction and strongly persistent in the mean of the single-species are obtained. Numerical simulations are used to confirm the efficiency of the main results.

    Citation: Xiangjun Dai, Suli Wang, Baoping Yan, Zhi Mao, Weizhi Xiong. Survival analysis of single-species population diffusion models with chemotaxis in polluted environment[J]. AIMS Mathematics, 2020, 5(6): 6749-6765. doi: 10.3934/math.2020434

    Related Papers:

  • In this paper, single-species population diffusion models with chemotaxis in polluted environment are proposed and studied. For the deterministic single-species population diffusion model, the sufficient conditions for the extinction and strong persistence of the single-species population are established. For the stochastic single-species population diffusion model. First, we show that system has unique global positive solution. And then, the sufficient conditions for extinction and strongly persistent in the mean of the single-species are obtained. Numerical simulations are used to confirm the efficiency of the main results.


    加载中


    [1] E. H. Colombo, C. Anteneodo, Metapopulation dynamics in a complex ecological landscape, Phys. Rev. E, 92 (2015), 022714.
    [2] E. Beretta, F. Solimano, Y. Takeuchi, Global stability and periodic orbits for two-patch predatorprey diffusion-delay models, Math. Biosci., 85 (1987), 153-183.
    [3] G. Z. Zeng, L. S. Chen, J. F. Chen, Persistence and periodic orbits for two-species nonautonomous diffusion lotka-volterra models, Math. Comput. Model., 20 (1994), 69-80.
    [4] E. Beretta, Y. Takeuchi, Global stability of single-species diffusion Volterra models with continuous time delays, B. Math. Biol., 49 (1987), 431-448.
    [5] L. Zhang, Z. Teng, The dynamical behavior of a predator-prey system with Gompertz growth function and impulsive dispersal of prey between two patches, Math. Method. Appl. Sci., 39 (2016), 3623-3639.
    [6] L. J. S. Allen, Persistence and extinction in single-species reaction-diffusion models, B. Math. Biol., 45 (1983), 209-227.
    [7] H. I. Freedman, Single species migration in two habitats: Persistence and extinction, Math. Model., 8 (1987), 778-780.
    [8] M. Bengfort, H. Malchow, F. M. Hilker, The Fokker-Planck law of diffusion and pattern formation in heterogeneous environments, J. Math. Biol., 73 (2016), 683-704.
    [9] D. Li, S. J. Guo, Stability and Hopf bifurcation in a reaction-diffusion model with chemotaxis and nonlocal delay effect, Int. J. Bifurcat. Chaos, 28 (2018), 1850046.
    [10] Y. Tan, C. Huang, B. Sun, et al. Dynamics of a class of delayed reaction-diffusion systems with Neumann boundary condition, J. Math. Anal. Appl., 458 (2018), 1115-1130.
    [11] Y. Xie, Q. Li, K. Zhu, Attractors for nonclassical diffusion equations with arbitrary polynomial growth nonlinearity, Nonlinear Anal. Real, 31 (2016), 23-37.
    [12] F. Wei, S. A. H. Geritz, J. Cai, A stochastic single-species population model with partial pollution tolerance in a polluted environment, Appl. Math. Lett., 63 (2016), 130-136.
    [13] F. Y. Wei, L. H. Chen, Psychological effect on single-species population models in a polluted environment, Math. Biosci., 290 (2017), 22-30.
    [14] J. J. Jiao, L. S. Chen, The extinction threshold on a single population model with pulse input of environmental toxin in a polluted environment, Math. Appl., 22 (2009), 11-19.
    [15] Y. Xiao, L. Chen, Effects of toxicants on a stage-structured population growth model, Appl. Math. Comput., 123 (2001), 63-73.
    [16] J. D. Stark, J. E. Banks, Population-level effects of pesticides and other toxicants on arthropods, Annu. Rev. Entomol., 48 (2003), 505-519.
    [17] W. Jing, W. Ke, Analysis of a single species with diffusion in a polluted environment, Electron. J. Differ. Eq., 112 (2006), 285-296.
    [18] R. M. May, Stability and Complexity in Model Ecosystems, Princeton University Press, 2001.
    [19] A. Friedman, Stochastic Differential Equations and Applications, Academic Press, 1976.
    [20] M. Liu, K. Wang, Persistence and extinction in stochastic non-autonomous logistic systems, J. Math. Anal. Appl., 375 (2011), 443-457.
    [21] X. J. Dai, Z. Mao, X. J. Li, A stochastic prey-predator model with time-dependent delays, Adv. Differ. Equ., 2017 (2017), 1-15.
    [22] M. Liu, K. Wang, Q. Wu, Survival analysis of stochastic competitive models in a polluted environment and stochastic competitive exclusion principle, B. Math. Biol., 73 (2011), 1969-2012.
    [23] X. Zou, D. Fan, K. Wang, Effects of dispersal for a logistic growth population in random environments, Abstr. Appl. Anal., 2013 (2013), 1-9.
    [24] L. Zu, D. Jiang, ORegan. Donal, Stochastic permanence, stationary distribution and extinction of a single-species nonlinear diffusion system with Rrandom perturbation, Abstr. Appl. Anal., 2014 (2014), 1-14.
    [25] M. Liu, M. Deng, B. Du, Analysis of a stochastic logistic model with diffusion, Appl. Comput. Model., 266 (2015), 169-182.
    [26] X. Zou, K. Wang, A robustness analysis of biological population models with protection zone, Appl. Math. Model., 35 (2011), 5553-5563.
    [27] X. Zou, K. Wang, M. Liu, Can protection zone potentially strengthen protective effects in random environments?, Appl. Math. Comput., 231 (2014), 26-38.
    [28] F. Y. Wei, C. J. Wang, Survival analysis of a single-species population model with fluctuations and migrations between patches, Appl. Math. Model., 81 (2020), 113-127.
    [29] X. Zou, K. Wang, Dynamical properties of a biological population with a protected area under ecological uncertainty, Appl. Math. Model., 39 (2015), 6273-6284.
    [30] D. J. Higham, An algorithmic introduction to numerical simulation of stochastic differential equations, SIAM Rev., 43 (2001), 525-546.
  • Reader Comments
  • © 2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3475) PDF downloads(106) Cited by(0)

Article outline

Figures and Tables

Figures(3)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog