This paper studies the dynamics of a stochastic single species model with Ornstein-Uhlenbeck process and Allee effect. First, we establish the existence of a unique global solution and obtain moment estimates. Then, sufficient conditions for the existence of a unique stationary distribution of the model and for the extinction of species are derived. The results show that a weaker attack rate guarantees a unique stationary distribution, whereas a stronger attack rate leads to species extinction. Moreover, we obtain an approximate expression for the stationary density around the stochastic quasi-positive equilibrium by solving the associated Fokker-Planck equation. Finally, some numerical simulations are presented.
Citation: Jin Kang, Rong Liu, Xuhui Shen. Dynamics of a stochastic single species model with mean-reverting Ornstein-Uhlenbeck and Allee effect[J]. AIMS Mathematics, 2026, 11(6): 16264-16287. doi: 10.3934/math.2026668
This paper studies the dynamics of a stochastic single species model with Ornstein-Uhlenbeck process and Allee effect. First, we establish the existence of a unique global solution and obtain moment estimates. Then, sufficient conditions for the existence of a unique stationary distribution of the model and for the extinction of species are derived. The results show that a weaker attack rate guarantees a unique stationary distribution, whereas a stronger attack rate leads to species extinction. Moreover, we obtain an approximate expression for the stationary density around the stochastic quasi-positive equilibrium by solving the associated Fokker-Planck equation. Finally, some numerical simulations are presented.
| [1] |
Y. Kang, O. Udiani, Dynamics of a single species evolutionary model with Allee effects, J. Math. Anal. Appl., 418 (2014), 492–515. https://doi.org/10.1016/j.jmaa.2014.03.083 doi: 10.1016/j.jmaa.2014.03.083
|
| [2] | W. Allee, Animal aggregations: a study in general sociology, Chicago: University of Chicago Press, 1931. https://doi.org/10.5962/bhl.title.7313 |
| [3] |
S. Biswas, Md. Saifuddin, S. Sasmal, S. Samanta, N. Pal, F. Ababneh, et al., A delayed prey-predator system with prey subject to the strong Allee effect and disease, Nonlinear Dyn., 84 (2016), 1569–1594. https://doi.org/10.1007/s11071-015-2589-9 doi: 10.1007/s11071-015-2589-9
|
| [4] |
J. Cushing, The evolutionary dynamics of a population model with a strong Allee effect, Math. Biosci. Eng., 12 (2015), 643–660. https://doi.org/10.3934/mbe.2015.12.643 doi: 10.3934/mbe.2015.12.643
|
| [5] |
C. Taylor, A. Hastings, Allee effects in biological invasions, Ecol. Lett., 8 (2005), 895–908. https://doi.org/10.1111/j.1461-0248.2005.00787.x doi: 10.1111/j.1461-0248.2005.00787.x
|
| [6] |
J. Ripa, P. Lundberg, Noise colour and the risk of population extinctions, Proc. Biol. Sci., 263 (1996), 1751–1753. https://doi.org/10.1098/rspb.1996.0256 doi: 10.1098/rspb.1996.0256
|
| [7] |
S. Zhang, T. Zhang, S. Yuan, Dynamics of a stochastic predator-prey model with habitat complexity and prey aggregation, Ecol. Complex., 45 (2021), 100889. https://doi.org/10.1016/j.ecocom.2020.100889 doi: 10.1016/j.ecocom.2020.100889
|
| [8] |
R. Liu, G. Liu, Complex dynamics and optimal harvesting for a stochastic food-web model with intraguild predation and time delays, Int. J. Biomath., 15 (2022), 2250050. https://doi.org/10.1142/S1793524522500504 doi: 10.1142/S1793524522500504
|
| [9] |
X. Yi, R. Liu, Y. Wang, Dynamics and control for a stochastic giving up smoking model, AIMS Mathematics, 10 (2025), 26484–26510. https://doi.org/10.3934/math.20251164 doi: 10.3934/math.20251164
|
| [10] |
Y. Wang, D. Jiang, T. Hayat, A. Alsaedi, Stationary distribution of an HIV model with general nonlinear incidence rate and stochastic perturbations, J. Franklin. I., 356 (2019), 6610–6637. https://doi.org/10.1016/j.jfranklin.2019.06.035 doi: 10.1016/j.jfranklin.2019.06.035
|
| [11] |
P. Wu, C. Fang, Spatiotemporal dynamics of syphilis in Xinjiang via a demographic-geographic data-validated reaction diffusion model, J. Math. Phys., 66 (2025), 062704. https://doi.org/10.1063/5.0273893 doi: 10.1063/5.0273893
|
| [12] |
B. Zhou, D. Jiang, Y. Dai, T. Hayat, A. Alsaedi, Stationary distribution and probability density function of a stochastic SVIS epidemic model with standard incidence and vaccination strategies, Chaos Soliton. Fract., 143 (2021), 110601. https://doi.org/10.1016/j.chaos.2020.110601 doi: 10.1016/j.chaos.2020.110601
|
| [13] |
R. Liu, G. Liu, Dynamics of a stochastic population model with Allee effect and jumps, Math. Model. Nat. Phenom., 17 (2022), 1. https://doi.org/10.1051/mmnp/2022002 doi: 10.1051/mmnp/2022002
|
| [14] |
X. Yu, S. Yuan, T. Zhang, Persistence and ergodicity of a stochastic single species model with Allee effect under regime switching, Commun. Nonlinear Sci., 59 (2018), 359–374. https://doi.org/10.1016/j.cnsns.2017.11.028 doi: 10.1016/j.cnsns.2017.11.028
|
| [15] |
Q. Yang, X. Zhang, D. Jiang, Dynamical behaviors of a stochastic food chain system with Ornstein-Uhlenbeck process, J. Nonlinear Sci., 32 (2022), 34. https://doi.org/10.1007/s00332-022-09796-8 doi: 10.1007/s00332-022-09796-8
|
| [16] |
B. Zhou, D. Jiang, T. Hayat, Analysis of a stochastic population model with mean-reverting Ornstein-Uhlenbeck process and Allee effects, Commun. Nonlinear Sci., 111 (2022), 106450. https://doi.org/10.1016/j.cnsns.2022.106450 doi: 10.1016/j.cnsns.2022.106450
|
| [17] |
X. Mu, D. Jiang, T. Hayat, A. Alsaedi, Y. Liao, A stochastic turbidostat model with Ornstein-Uhlenbeck process: dynamics analysis and numerical simulations, Nonlinear Dyn., 107 (2022), 2805–2817. https://doi.org/10.1007/s11071-021-07093-9 doi: 10.1007/s11071-021-07093-9
|
| [18] | X. Mao, Stochastic differential equations and applications, Chichester: Horwood Publishing Limited, 2007. https://doi.org/10.1533/9780857099402 |
| [19] | R. Khasminskii, Stochastic stability of differential equations, Berlin: Springer, 2011. https://doi.org/10.1007/978-3-642-23280-0 |
| [20] |
D. Xu, Y. Huang, Z. Yang, Existence theorems for periodic Markov process and stochastic functional differential equations, Discrete Cont. Dyn., 24 (2009), 1005–1023. https://doi.org/10.3934/dcds.2009.24.1005 doi: 10.3934/dcds.2009.24.1005
|
| [21] | C. Gardiner, Handbook of stochastic methods: for physics, chemistry and the natural sciences, Berlin: Springer, 1983. |
| [22] |
H. Roozen, An asymptotic solution to a two-dimensional exit problem arising in population dynamics, SIAM J. Appl. Math., 49 (1989), 1793–1810. https://doi.org/10.1137/0149110 doi: 10.1137/0149110
|
| [23] | Z. Ma, Y. Zhou, C. Li, Qualitative and stability methods for ordinary differential equations (Chinese), Beijing: Science Press, 2015. |
| [24] |
D. Higham, An algorithmic introduction to numerical simulation of stochastic differential equations, SIAM Rev., 43 (2001), 525–546. https://doi.org/10.1137/S0036144500378302 doi: 10.1137/S0036144500378302
|