Dynamics analysis of a reaction-diffusion-advection benthic-drift model with logistic growth.

IF 2.3 4区 数学 Q2 BIOLOGY
Hua Nie, Qian Qin, Lei Zhang
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引用次数: 0

Abstract

This paper aims to investigate the benthic-drift population model in both open and closed advective environments, focusing on the logistic growth of benthic populations. We obtain the threshold dynamics using the monotone iteration method, and show that the zero solution is globally attractive straightforward when linearly stable. When unstable, limits from monotonic iteration of upper and lower solutions are upper and lower semi-continuous, respectively. By employing a part metric, we prove these limits are equal and continuous, leading to a positive steady state. In the critical case, we establish that the limit function from the upper solution iteration must be the zero solution by analyzing an algebraic equation. Furthermore, we conduct a quantitative analysis of the principal eigenvalue for a non-self-adjoint eigenvalue problem to examine how the diffusion rate, advection rate, and population release rates influence the dynamics. The results suggest that the diffusion rate and advection rate have distinct effects on population dynamics in open and closed advective environments, depending on the population release rates.

具有logistic增长的反应-扩散-平流底流模型动力学分析。
本文研究了开放和封闭平流环境下的底栖漂流种群模型,重点研究了底栖生物种群的logistic增长。我们用单调迭代法得到了阈值动力学,并证明了零解在线性稳定时是全局吸引的。当不稳定时,上下解单调迭代的极限分别为上半连续和下半连续。通过采用部分度规,我们证明了这些极限是相等和连续的,从而导致了正稳态。在临界情况下,通过对代数方程的分析,证明了由上解迭代得到的极限函数必须是零解。此外,我们对非自伴随特征值问题的主特征值进行了定量分析,以研究扩散速率、平流速率和种群释放速率如何影响动力学。结果表明,在开放和封闭的平流环境中,扩散速率和平流速率对种群动态的影响是不同的,这取决于种群释放速率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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