Department of Ecology and Evolutionary Biology, University of Toronto , Toronto, Ontario M5S 3B2, Canada.
Department of Ecology, Evolution, and Behavior, University of Minnesota , St Paul, MN 55108, USA.
Philos Trans R Soc Lond B Biol Sci. 2024 Jul 29;379(1907):20230130. doi: 10.1098/rstb.2023.0130. Epub 2024 Jun 24.
The spread of parasites and the emergence of disease are currently threatening global biodiversity and human welfare. To address this threat, we need to better understand those factors that determine parasite persistence and prevalence. It is known that dispersal is central to the spatial dynamics of host-parasite systems. Yet past studies have typically assumed that dispersal is a species-level constant, despite a growing body of empirical evidence that dispersal varies with ecological context, including the risk of infection and aspects of host state such as infection status (parasite-dependent dispersal; PDD). Here, we develop a metapopulation model to understand how different forms of PDD shape the prevalence of a directly transmitted parasite. We show that increasing host dispersal rate can increase, decrease or cause a non-monotonic change in regional parasite prevalence, depending on the type of PDD and characteristics of the host-parasite system (transmission rate, virulence, and dispersal mortality). This result contrasts with previous studies with parasite-independent dispersal which concluded that prevalence increases with host dispersal rate. We argue that accounting for host dispersal responses to parasites is necessary for a complete understanding of host-parasite dynamics and for predicting how parasite prevalence will respond to changes such as human alteration of landscape connectivity. This article is part of the theme issue 'Diversity-dependence of dispersal: interspecific interactions determine spatial dynamics'.
寄生虫的传播和疾病的出现目前正在威胁着全球生物多样性和人类福祉。为了应对这一威胁,我们需要更好地了解那些决定寄生虫持续存在和流行的因素。众所周知,扩散是宿主-寄生虫系统空间动态的核心。然而,过去的研究通常假设扩散是一个物种水平的常数,尽管越来越多的经验证据表明,扩散会随着生态背景而变化,包括感染风险和宿主状态的各个方面,如感染状况(寄生虫依赖性扩散;PDD)。在这里,我们开发了一个集合种群模型来了解不同形式的 PDD 如何塑造直接传播寄生虫的流行程度。我们表明,增加宿主扩散率可以增加、减少或导致区域寄生虫流行率呈非单调变化,这取决于 PDD 的类型和宿主-寄生虫系统的特征(传播率、毒力和扩散死亡率)。这一结果与以前关于寄生虫独立扩散的研究形成了对比,后者得出的结论是,寄生虫流行率随宿主扩散率的增加而增加。我们认为,为了全面了解宿主-寄生虫动态,并预测寄生虫流行率将如何对人类改变景观连通性等变化做出反应,考虑宿主对寄生虫的扩散反应是必要的。本文是主题为“扩散的多样性依赖性:种间相互作用决定空间动态”的一部分。