The existence and strength of higher order interactions is sensitive to environmental context

IF 4.4 2区 环境科学与生态学 Q1 ECOLOGY
Ecology Pub Date : 2023-08-25 DOI:10.1002/ecy.4156
Jeremy W. Fox
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引用次数: 0

Abstract

One strategy for understanding the dynamics of any complex system, such as a community of competing species, is to study the dynamics of parts of the system in isolation. Ecological communities can be decomposed into single species, and pairs of interacting species. This reductionist strategy assumes that whole-community dynamics are predictable and explainable from knowledge of the dynamics of single species and pairs of species. This assumption will be violated if higher order interactions (HOIs) are strong. Theory predicts that HOIs should be common. But it is difficult to detect HOIs, and to infer their long-term consequences for species coexistence, solely from short-term data. I conducted a protist microcosm experiment to test for HOIs among competing bacterivorous ciliates, and test the sensitivity of HOIs to environmental context. I grew three competing ciliate species in all possible combinations at each of two resource enrichment levels, and used the population dynamic data from the one- and two-species treatments to parameterize a competition model at each enrichment level. I then compared the predictions of the parameterized model to the dynamics of the whole community (three-species treatment). I found that the existence, and thus strength, of HOIs was environment dependent. I found a strong HOI at low enrichment, which enabled the persistence of a species that would otherwise have been competitively excluded. At high enrichment, three-species dynamics could be predicted from a parameterized model of one- and two-species dynamics, provided that the model accounted for nonlinear intraspecific density dependence. The results provide one of the first rigorous demonstrations of the long-term consequences of HOIs for species coexistence, and demonstrate the context dependence of HOIs. HOIs create difficult challenges for predicting and explaining species coexistence in nature.

高阶相互作用的存在和强度对环境背景很敏感。
了解任何复杂系统(如竞争物种群落)的动力学的一种策略是孤立地研究系统各部分的动力学。生态群落可以分解为单个物种和成对的相互作用物种。这种还原论策略假设,从单个物种和成对物种的动力学知识来看,整个群落的动力学是可预测和可解释的。如果高阶相互作用(HOI)很强,就会违反这一假设。理论预测HOI应该很普遍。但仅从短期数据很难检测到HOI,也很难推断其对物种共存的长期影响。我进行了一个原生微宇宙实验,以测试竞争性食菌纤毛虫之间的HOIs,并测试HOIs对环境环境的敏感性。我在两个资源富集水平的每一个水平上以所有可能的组合培育了三个竞争纤毛虫物种,并使用一个和两个物种处理的种群动态数据来参数化每个富集水平的竞争模型。然后,我将参数化模型的预测与整个群落的动态(三种处理)进行了比较。我发现HOI的存在和强度取决于环境。我在低富集度下发现了强大的HOI,这使得一个原本会被竞争性排除在外的物种能够持久存在。在高富集度下,三个物种的动力学可以从一个和两个物种动力学的参数化模型中预测,前提是该模型考虑了非线性种内密度依赖性。该结果首次严格证明了HOI对物种共存的长期影响,并证明了HOIs的上下文依赖性。HOI给预测和解释自然界物种共存带来了困难。
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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