Time-delayed models for the effects of toxicants on populations in contaminated aquatic ecosystems

IF 0.4 Q4 MATHEMATICS, APPLIED
Yuxing Liu, Qihua Huang
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引用次数: 0

Abstract

Ecotoxicological models play a vital role in understanding the influence of toxicants on population dynamics in contaminated aquatic ecosystems. Traditional differential equation models describing interactions between populations and toxicants typically assume instantaneous population growth, overlooking potential time delays associated with reproductive and maturation processes. In this paper, we introduce two models with time delays to investigate the interaction between a population and a toxicant, where the population growth is governed by a delayed logistic equation. We mainly focus on the stability analysis of the steady states of the models. Our findings indicate that high toxicant concentrations result in population extinction, whereas moderate toxicant levels can potentially induce bistability, where the population's fate, whether persistence or extinction, depends on the initial densities of the population and toxicant. Furthermore, both our theoretical analysis and numerical simulations demonstrate that the time delay can lead to the destabilization of the coexistence steady states and the appearance of periodic solutions through Hopf bifurcation.
毒物对受污染水生生态系统种群影响的延时模型
生态毒理学模型在了解毒物对受污染水生生态系统种群动态的影响方面起着至关重要的作用。描述种群与毒物之间相互作用的传统微分方程模型通常假设种群瞬时增长,而忽略了与繁殖和成熟过程相关的潜在时间延迟。在本文中,我们引入了两个具有时间延迟的模型来研究种群与毒物之间的相互作用,其中种群增长受延迟对数方程控制。我们主要关注模型稳态的稳定性分析。我们的研究结果表明,毒物浓度过高会导致种群灭绝,而毒物浓度适中则有可能诱发双稳态现象,即种群的命运(无论是持续还是灭绝)取决于种群和毒物的初始密度。此外,我们的理论分析和数值模拟都表明,时间延迟会导致共存稳态的不稳定性,并通过霍普夫分岔(Hopf bifurcation)出现周期性解。
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来源期刊
CiteScore
1.40
自引率
0.00%
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0
审稿时长
21 weeks
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