季节性随机性驱动浮游植物-浮游动物动力学

IF 2.1 3区 数学 Q1 MATHEMATICS, APPLIED
Nazmul Sk, Subarna Roy, Pankaj Kumar Tiwari
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引用次数: 0

摘要

在这项研究中,我们研究了一个确定性模型,包括避难所,额外的食物来源和毒素。讨论了正平衡点的存在性、稳定性和分岔分析。我们的数值结果表明,由于额外的食物增加了浮游动物的生长,导致浮游植物物种的消失,而营养水平的显著下降导致生态系统内浮游动物的灭绝。值得注意的是,浮游植物的庇护具有终止持续振荡和稳定系统的趋势。由于季节随机性对浮游系统的动态影响很大,因此我们在环境噪声和某些模型参数中引入了季节性。在这种情况下,我们分析了持续和灭绝之间的规律和二分法。数值证据表明周期性解、强/弱持续性和浮游生物灭绝是由随机性和/或季节性造成的。此外,有趣的是,季节性的强迫噪音有能力控制极度混乱,在浮游生物种群中产生一种独特的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seasonal Stochasticity Drives Phytoplankton–Zooplankton Dynamics

In this study, we examine a deterministic model incorporating refuge, additional food sources, and toxins. The existence and stability of positive equilibria and the bifurcation analyses are discussed. Our numerical outcomes entail that increased zooplankton growth due to additional food leads to the disappearance of phytoplankton species, while a significant drop in nutrient levels results in zooplankton extinction within the ecosystem. Notably, the refuge by phytoplankton has a tendency to terminate the persistent oscillations and stabilize the system. As seasonal stochasticity significantly influences the dynamics of planktonic system, so we introduce seasonality into environmental noise and certain model parameters. In this case, we analyze both the regularity and the dichotomy between persistence and extinction. The numerical evidences demonstrate periodic solutions, strong/weak persistence, and plankton extinctions resulting from stochasticity and/or seasonality. Furthermore, the seasonally forced noise, intriguingly, has the capacity to exert control over hyperchaos, yielding a distinctive pattern in plankton populations.

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来源期刊
CiteScore
4.90
自引率
6.90%
发文量
798
审稿时长
6 months
期刊介绍: Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome. Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted. Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.
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