It's about (taking up) space: Discreteness of individuals and the strength of spatial coexistence mechanisms

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY Ecology Pub Date : 2024-10-06 DOI:10.1002/ecy.4404
Stephen P. Ellner, Robin E. Snyder, Peter B. Adler, Christina M. Hernández, Giles Hooker
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Abstract

One strand of modern coexistence theory (MCT) partitions invader growth rates (IGR) to quantify how different mechanisms contribute to species coexistence, highlighting fluctuation-dependent mechanisms. A general conclusion from the classical analytic MCT theory is that coexistence mechanisms relying on temporal variation (such as the temporal storage effect) are generally less effective at promoting coexistence than mechanisms relying on spatial or spatiotemporal variation (primarily growth-density covariance). However, the analytic theory assumes continuous population density, and IGRs are calculated for infinitesimally rare invaders that have infinite time to find their preferred habitat and regrow, without ever experiencing intraspecific competition. Here we ask if the disparity between spatial and temporal mechanisms persists when individuals are, instead, discrete and occupy finite amounts of space. We present a simulation-based approach to quantifying IGRs in this situation, building on our previous approach for spatially non-varying habitats. As expected, we found that spatial mechanisms are weakened; unexpectedly, the contribution to IGR from growth-density covariance could even become negative, opposing coexistence. We also found shifts in which demographic parameters had the largest effect on the strength of spatial coexistence mechanisms. Our substantive conclusions are statements about one model, across parameter ranges that we subjectively considered realistic. Using the methods developed here, effects of individual discreteness should be explored theoretically across a broader range of conditions, and in models parameterized from empirical data on real communities.

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这是关于(占用)空间:个体的分散性与空间共存机制的强度。
现代共存理论(MCT)的一个分支对入侵者增长率(IGR)进行了划分,以量化不同机制如何促进物种共存,并强调了依赖波动的机制。经典的 MCT 分析理论得出的一般结论是,与依赖空间或时空变化(主要是生长密度协方差)的共存机制相比,依赖时间变化(如时间储存效应)的共存机制通常在促进共存方面效果较差。然而,分析理论假定种群密度是连续的,而且 IGRs 是为无限稀少的入侵者计算的,这些入侵者有无限长的时间找到它们喜欢的栖息地并重新生长,而不会经历种内竞争。在这里,我们要问的是,如果个体是离散的,占据有限的空间,那么空间和时间机制之间的差异是否会持续存在。我们提出了一种基于模拟的方法来量化这种情况下的 IGRs,这种方法建立在我们之前针对空间非变化生境的方法之上。不出所料,我们发现空间机制被削弱了;出乎意料的是,生长密度协方差对 IGR 的贡献甚至可能变为负值,从而反对共存。我们还发现,哪些人口参数对空间共存机制的强度影响最大。我们的实质性结论是对一个模型的陈述,跨越了我们主观上认为现实的参数范围。利用本文所开发的方法,我们应该从理论上探讨个体离散性在更广泛条件下的影响,并根据真实群落的经验数据对模型进行参数化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ecology
Ecology 环境科学-生态学
CiteScore
8.30
自引率
2.10%
发文量
332
审稿时长
3 months
期刊介绍: Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.
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