Richards Kelvin J
IPRC, University of Hawai'i at Mānoa, 1680 East West Road, Honolulu, HI96822, United States.
J Theor Biol. 2017 Jan 7;412:27-35. doi: 10.1016/j.jtbi.2016.09.022. Epub 2016 Sep 28.
Viruses are known to impact blooms of phytoplankton in the ocean, in some cases causing the bloom to crash. Here, using a population model that includes viral infection, we investigate the conditions under which the presence of a virus significantly impacts the population dynamics. A major focus is how spatial variability influences the spread of an epidemic in a stirring and mixing field. The combination of viral infection and diffusion can cause waves of the epidemic to sweep through the domain, with the epidemic lasting much longer than in the homogeneous case. Stirring by the fluid flow can greatly increase this effect causing an increase in the fraction of the bloom that is affected and in certain circumstances (high diffusion and stirring) can totally suppress the bloom. The fluid environment affects the relative spatial structure of the components of the system. High values of the concentrations of the virus and infected phytoplankton are found in thin filaments along fronts of uninfected (susceptible) phytoplankton.
众所周知，病毒会影响海洋中浮游植物的大量繁殖，在某些情况下会导致繁殖崩溃。在此，我们使用一个包含病毒感染的种群模型，研究病毒的存在对种群动态产生显著影响的条件。一个主要关注点是空间变异性如何影响在搅拌和混合场中流行病的传播。病毒感染和扩散的结合会导致流行病波席卷整个区域，流行病持续的时间比在均匀情况下长得多。流体流动引起的搅拌可大大增强这种效应，导致受影响的繁殖部分增加，在某些情况下（高扩散和搅拌）可完全抑制繁殖。流体环境会影响系统各组成部分的相对空间结构。在未感染（易感）浮游植物前沿的细丝中发现病毒和受感染浮游植物的高浓度值。
