Analysis of a stochastic predator-prey model with disease in the predator and Beddington-DeAngelis functional response

被引:18
作者
Li, Shuang [1 ,2 ]
Wang, Xiaopan [3 ]
机构
[1] Henan Normal Univ, Coll Math & Informat Sci, Xinxiang 453007, Peoples R China
[2] Henan Normal Univ, Sch Math & Informat Sci, Henan Engn Lab Big Data Stat Anal & Optimal Contr, Xinxiang 453007, Peoples R China
[3] Henan Normal Univ, Coll Xinlian, Xinxiang 453007, Peoples R China
关键词
predator-prey; Beddington-DeAngelis functional response; stochastic; stationary distribution; stability; persistence; extinction; NONLINEAR INCIDENCE RATES; MICROBIAL PEST-CONTROL; MODIFIED LESLIE-GOWER; LOTKA-VOLTERRA MODEL; HOST SELF-REGULATION; INFECTIOUS-DISEASES; RANDOM PERTURBATION; EPIDEMIOLOGIC MODELS; POPULATION-DYNAMICS; MATHEMATICAL-THEORY;
D O I
10.1186/s13662-015-0448-0
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A predator-prey model with Beddington-DeAngelis functional response and disease in the predator population is proposed, corresponding to the deterministic system, a stochastic model is investigated with parameter perturbation. In Additional file 1, qualitative analysis of the deterministic system is considered. For the stochastic system, the existence of a global positive solution and an estimate of the solution are derived. Sufficient conditions of persistence in the mean or extinction for all the populations are obtained. In contrast to conditions of permanence for the deterministic system in Additional file 1, it shows that environmental stochastic perturbation can reduce the size of population to a certain extent. When the white noise is small, there is a stationary distribution. In addition, conditions of global stability for the deterministic system are also established from the above result. These results mean that the stochastic system has a similar property to the corresponding deterministic system when the white noise is small. Finally, numerical simulations are carried out to support our findings.
引用
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页数:21
相关论文
共 46 条
[31]   POPULATION DYNAMICAL BEHAVIOR OF NON-AUTONOMOUS LOTKA-VOLTERRA COMPETITIVE SYSTEM WITH RANDOM PERTURBATION [J].
Li, Xiaoyue ;
Mao, Xuerong .
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS, 2009, 24 (02) :523-545
[32]   Persistence and extinction in stochastic non-autonomous logistic systems [J].
Liu, Meng ;
Wang, Ke .
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2011, 375 (02) :443-457
[33]   Global stability of a nonlinear stochastic predator-prey system with Beddington-DeAngelis functional response [J].
Liu, Meng ;
Wang, Ke .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2011, 16 (03) :1114-1121
[34]   Survival Analysis of Stochastic Competitive Models in a Polluted Environment and Stochastic Competitive Exclusion Principle [J].
Liu, Meng ;
Wang, Ke ;
Wu, Qiong .
BULLETIN OF MATHEMATICAL BIOLOGY, 2011, 73 (09) :1969-2012
[35]   Survival analysis of stochastic single-species population models in polluted environments [J].
Liu, Meng ;
Wang, Ke .
ECOLOGICAL MODELLING, 2009, 220 (9-10) :1347-1357
[36]   INFLUENCE OF NONLINEAR INCIDENCE RATES UPON THE BEHAVIOR OF SIRS EPIDEMIOLOGIC MODELS [J].
LIU, WM ;
LEVIN, SA ;
IWASA, Y .
JOURNAL OF MATHEMATICAL BIOLOGY, 1986, 23 (02) :187-204
[37]   DYNAMIC BEHAVIOR OF EPIDEMIOLOGIC MODELS WITH NONLINEAR INCIDENCE RATES [J].
LIU, WM ;
HETHCOTE, HW ;
LEVIN, SA .
JOURNAL OF MATHEMATICAL BIOLOGY, 1987, 25 (04) :359-380
[38]  
Mao X., 2007, Stochastic Differential Equations and Applications, V2nd, DOI DOI 10.1533/9780857099402
[39]   Stochastic differential delay equations of population dynamics [J].
Mao, XR ;
Yuan, CG ;
Zou, JZ .
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2005, 304 (01) :296-320
[40]   Asymptotic behaviour of the stochastic Lotka-Volterra model [J].
Mao, XR ;
Sabanis, S ;
Renshaw, E .
JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2003, 287 (01) :141-156