Stochastic dynamics of populations with refuge in polluted turbidostat. (June 2021)

• Record Type: Journal Article
• Authors: Mu, Yu; Lo, Wing-Cheong
• Is Part Of: Chaos, solitons and fractals. Volume 147(2021)
• Publication Date: 2021-06
• Subjects: Turbidostat -- Polluted environment -- Stochastic modeling -- Refuge -- Permanence; Chaotic behavior in systems -- Periodicals; Solitons -- Periodicals; Fractals -- Periodicals; Chaotic behavior in systems; Fractals; Solitons; Periodicals; 003.7
• DOI: 10.1016/j.chaos.2021.110963
• Languages: English
• ISSNs: 0960-0779

Abstract

Highlights: Stochastic and impulsive model in the polluted turbidostat is proposed. Sufficient conditions of populations' extinction and permanence are obtained. Several parameters' influence on the survival of species is discussed. Numerical simulations are provided to validate the theoretical results and further study the effect of some parameters. Theoretical and numerical results support that stochastic perturbation has a negative effect on the populations' survival in the proposed system. Abstract: Environmental pollution and random perturbation from the environment influence populations' dynamics by alternating the habitat structure. To avoid disasters above or threats from predators, populations have self-defensive strategies such as camouflage or using a refuge. A turbidostat model with toxicant and prey refuge under the deterministic and stochastic environments is investigated in this work. We first analyze the positive solution's existence and uniqueness under the effect of shelter and stochastic perturbation. We further determine the sufficient conditions of extinction and permanence for each population with the impact of toxicant, prey refuge under the stochastic environment. Our results reveal the dynamics of populations under the influence of the factors above. Several numerical examples are provided to verify the theoretical analysis and simulate the effect of the phenomena above in the population dynamics for both deterministic and stochastic cases.