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紧急竞争塑造了多营养层次生态系统中的自上而下控制与自下而上控制。

Emergent competition shapes top-down versus bottom-up control in multi-trophic ecosystems.

机构信息

Department of Physics, Boston University, Boston, Massachusetts, United States of America.

Biological Design Center, Boston University, Boston, Massachusetts, United States of America.

出版信息

PLoS Comput Biol. 2024 Feb 8;20(2):e1011675. doi: 10.1371/journal.pcbi.1011675. eCollection 2024 Feb.

DOI:10.1371/journal.pcbi.1011675
PMID:38330086
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10852287/
Abstract

Ecosystems are commonly organized into trophic levels-organisms that occupy the same level in a food chain (e.g., plants, herbivores, carnivores). A fundamental question in theoretical ecology is how the interplay between trophic structure, diversity, and competition shapes the properties of ecosystems. To address this problem, we analyze a generalized Consumer Resource Model with three trophic levels using the zero-temperature cavity method and numerical simulations. We derive the corresponding mean-field cavity equations and show that intra-trophic diversity gives rise to an effective "emergent competition" term between species within a trophic level due to feedbacks mediated by other trophic levels. This emergent competition gives rise to a crossover from a regime of top-down control (populations are limited by predators) to a regime of bottom-up control (populations are limited by primary producers) and is captured by a simple order parameter related to the ratio of surviving species in different trophic levels. We show that our theoretical results agree with empirical observations, suggesting that the theoretical approach outlined here can be used to understand complex ecosystems with multiple trophic levels.

摘要

生态系统通常被组织成营养级——在食物链中占据同一层次的生物(例如,植物、食草动物、食肉动物)。理论生态学中的一个基本问题是,营养结构、多样性和竞争之间的相互作用如何塑造生态系统的性质。为了解决这个问题,我们使用零温腔方法和数值模拟分析了一个具有三个营养级的广义消费者资源模型。我们推导出相应的平均场腔方程,并表明由于其他营养级介导的反馈,种内多样性在同一营养级的物种之间产生了有效的“新兴竞争”项。这种新兴竞争导致了从自上而下的控制(种群受捕食者限制)到自下而上的控制(种群受初级生产者限制)的转变,并且可以用一个与不同营养级中存活物种比例相关的简单序参量来捕捉。我们表明,我们的理论结果与经验观察一致,这表明这里概述的理论方法可用于理解具有多个营养级的复杂生态系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/79f2ae0b3c87/pcbi.1011675.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/9e2e7e48636a/pcbi.1011675.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/a885cf97a25d/pcbi.1011675.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/38bc8bc9f11a/pcbi.1011675.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/79f2ae0b3c87/pcbi.1011675.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/9e2e7e48636a/pcbi.1011675.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/a885cf97a25d/pcbi.1011675.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/38bc8bc9f11a/pcbi.1011675.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b55e/10852287/79f2ae0b3c87/pcbi.1011675.g004.jpg

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