由氮和磷驱动的裂解病毒在浮游植物间传播的动态模型

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY Ecological Modelling Pub Date : 2024-08-14 DOI:10.1016/j.ecolmodel.2024.110837
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引用次数: 0

摘要

致死病毒感染浮游植物并导致其大量死亡。本文提出了一个动态模型来探讨噬菌体病毒在浮游植物间的传播。通过分析模型的动态特性,确定了浮游植物生存能力的生态繁殖指数和致死病毒传播能力的基本繁殖数。我们根据 Maat 和 Brussaard 的实验数据估算了模型的参数值,并从理论上检验了 Maat 和 Brussaard 关于噬菌体病毒传播由氮和磷驱动的假设。我们的研究表明,在低氮或低磷的水生环境中,致死病毒无法在浮游植物之间传播。数字图表还表明,溶菌病毒传播过程中氮和磷的增加并不总是导致浮游植物大量繁殖。
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Dynamic modeling of lytic virus transmission among phytoplankton driven by nitrogen and phosphorus

Lytic viruses infect phytoplankton and cause their mass mortalities. A dynamic model is proposed to explore lytic virus transmission among phytoplankton. The ecological reproductive index for the survival ability of phytoplankton and the basic reproduction number for the spreading ability of lytic viruses are established by analyzing dynamical properties of the model. We estimate parameter values of the model from Maat and Brussaard’s experimental data and theoretically examine Maat and Brussaard’s hypotheses that lytic virus transmission is driven by nitrogen and phosphorus. Our studies show that lytic viruses cannot spread among phytoplankton in low nitrogen or low phosphorus aquatic environments. The numerical diagrams also suggest that the increase in nitrogen and phosphorus during the spread of lytic viruses does not always cause phytoplankton blooms.

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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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