Density-dependent distributions of hosts and parasitoids resulting from density-independent dispersal rules: implications for host-parasitoid interactions and population dynamics.

IF 3.4 1区 生物学 Q2 ECOLOGY
Toshinori Okuyama
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引用次数: 0

Abstract

Background: The distribution of hosts and parasitoids across patches is a key factor determining the dynamics of host-parasitoid populations. To connect behavioral rules with population dynamics, it is essential to comprehend how individual-level dispersal behavior influences the distribution of individuals. Typically, a simple deterministic model has been used to describe this connection. This study explicitly derived the relationship between individual-level dispersal behavior and the distribution of individuals across patches, contrasting it with the conventional deterministic model.

Methods: A stochastic individual-based model was developed from a widely used deterministic host-parasitoid population model. Individual-level dispersal rules were simulated in the stochastic model without assuming the resulting distributions. The models assume that the dispersal of hosts and parasitoids is independent of conspecific density. The deterministic model can be seen as an approximation of the stochastic model, describing the outcomes of stochastic processes as their expected patterns. In addition to describing the relationship between dispersal behavior and distribution across patches, its consequences for population dynamics were also examined.

Results: The stochastic model revealed that the distribution of individuals among patches varies with the number of dispersing conspecifics, whereas the deterministic model assumes independence from conspecific density, indicating that the deterministic model fails to capture the outcomes of stochastic dispersal. The resulting density-dependent distributions of hosts and parasitoids lead to other density-dependent interactions between them, such as density-dependent parasitism risk for hosts and density-dependent searching efficiency for parasitoids, ultimately affecting population dynamics. For instance, while aggregation of parasitoids is stabilizing in the deterministic model, it can be both stabilizing and destabilizing in the stochastic model.

Conclusions: The stochastic model revealed that density-dependent distributions of hosts and parasitoids emerge when individuals disperse in a density-independent manner, significantly impacting existing host-parasitoid theory, which assumes density-independent distributions. To address this, the implications of emerging density dependencies for well-known results, such as the pseudointerference of parasitoids and the CV2 > 1 rule, were discussed. Explicitly considering individual-level dispersal behavior is essential for understanding host-parasitoid interactions and population dynamics.

由不依赖于密度的扩散规则导致的寄主和寄生蜂的密度依赖分布:对寄主-寄生蜂相互作用和种群动态的影响。
背景:寄主和寄生蜂在斑块上的分布是决定寄主-寄生蜂种群动态的关键因素。为了将行为规则与种群动态联系起来,有必要了解个体水平的分散行为如何影响个体的分布。通常,一个简单的确定性模型被用来描述这种联系。本研究明确推导了个体水平的分散行为与个体在斑块上的分布之间的关系,并将其与传统的确定性模型进行了对比。方法:在广泛应用的确定性寄主-寄生蜂种群模型的基础上,建立随机个体模型。在随机模型中模拟个体水平的分散规则,而不假设结果的分布。这些模型假设寄主和拟寄生物的传播与同种密度无关。确定性模型可以看作是随机模型的近似,将随机过程的结果描述为它们的预期模式。除了描述分散行为与斑块间分布之间的关系外,还研究了其对种群动态的影响。结果:随机模型显示个体在斑块间的分布随分散的同虫数量而变化,而确定性模型假设与同虫密度无关,表明确定性模型无法捕捉随机分散的结果。由此产生的寄主和寄生蜂的密度依赖分布导致寄主和寄生蜂之间的其他密度依赖相互作用,如寄主的密度依赖寄生风险和寄生蜂的密度依赖搜索效率,最终影响种群动态。例如,在确定性模型中,寄生蜂的聚集是稳定的,而在随机模型中,寄生蜂的聚集可能是稳定的,也可能是不稳定的。结论:随机模型显示,当个体以密度无关的方式分散时,寄主和寄生蜂的密度依赖分布出现,这显著影响了现有的假设密度无关分布的寄主-寄生蜂理论。为了解决这一问题,本文讨论了新出现的密度依赖性对众所周知的结果的影响,如拟寄生物的伪干涉和CV2 > 1规则。明确考虑个体水平的扩散行为对于理解宿主-寄生虫相互作用和种群动态至关重要。
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来源期刊
Movement Ecology
Movement Ecology Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
6.60
自引率
4.90%
发文量
47
审稿时长
23 weeks
期刊介绍: Movement Ecology is an open-access interdisciplinary journal publishing novel insights from empirical and theoretical approaches into the ecology of movement of the whole organism - either animals, plants or microorganisms - as the central theme. We welcome manuscripts on any taxa and any movement phenomena (e.g. foraging, dispersal and seasonal migration) addressing important research questions on the patterns, mechanisms, causes and consequences of organismal movement. Manuscripts will be rigorously peer-reviewed to ensure novelty and high quality.
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