通过反应-扩散-对流菌环模型研究浮游植物-恙虫-浮游动物动力学。

IF 2.2 4区 数学 Q2 BIOLOGY
Jimin Zhang, Xu Han, Hao Wang
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引用次数: 0

摘要

菌环是一个重要的水生食物网,由浮游植物、恙虫(水生生态系统中的主要寄生虫之一)和浮游动物组成。恙虫会感染浮游植物,并将其打碎,以便浮游动物食用。自由生活的糜烂丝虫孢子也是浮游动物的食物资源。我们提出了一个动态反应-扩散-平流菌环模型来描述浮游植物-糜烂菌-浮游动物在混合不良的水生环境中的相互作用。我们分析了菌环模型的动力学,以获得耗散性、稳态解和持久性。我们严格推导出了浮游植物或浮游动物入侵以及糜烂丝在浮游植物间传播的几个临界阈值。数值图表显示,不同的生态因素会影响菌环的形成和破裂,浮游动物会抑制糜烂丝在浮游植物间的传播。此外,这项研究还表明,菌环既可能控制浮游植物的繁殖,也可能导致浮游植物的繁殖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Phytoplankton-chytrid-zooplankton dynamics via a reaction-diffusion-advection mycoloop model.

Phytoplankton-chytrid-zooplankton dynamics via a reaction-diffusion-advection mycoloop model.

Mycoloop is an important aquatic food web composed of phytoplankton, chytrids (one dominant group of parasites in aquatic ecosystems), and zooplankton. Chytrids infect phytoplankton and fragment them for easy consumption by zooplankton. The free-living chytrid zoospores are also a food resource for zooplankton. A dynamic reaction-diffusion-advection mycoloop model is proposed to describe the Phytoplankton-chytrid-zooplankton interactions in a poorly mixed aquatic environment. We analyze the dynamics of the mycoloop model to obtain dissipativity, steady state solutions, and persistence. We rigorously derive several critical thresholds for phytoplankton or zooplankton invasion and chytrid transmission among phytoplankton. Numerical diagrams show that varying ecological factors affect the formation and breakup of the mycoloop, and zooplankton can inhibit chytrid transmission among phytoplankton. Furthermore, this study suggests that mycoloop may either control or cause phytoplankton blooms.

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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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