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Diverse communities behave like typical random ecosystems
Physical Review E ( IF 2.2 ) Pub Date : 2021-09-27 , DOI: 10.1103/physreve.104.034416
Wenping Cui 1 , Robert Marsland 2 , Pankaj Mehta 2
Affiliation  

In 1972, Robert May triggered a worldwide research program studying ecological communities using random matrix theory. Yet, it remains unclear if and when we can treat real communities as random ecosystems. Here, we draw on recent progress in random matrix theory and statistical physics to extend May's approach to generalized consumer-resource models. We show that in diverse ecosystems adding even modest amounts of noise to consumer preferences results in a transition to “typicality,” where macroscopic ecological properties of communities are indistinguishable from those of random ecosystems, even when resource preferences have prominent designed structures. We test these ideas using numerical simulations on a wide variety of ecological models. Our work offers an explanation for the success of random consumer resource models in reproducing experimentally observed ecological patterns in microbial communities and highlights the difficulty of scaling up bottom-up approaches in synthetic ecology to diverse communities.

中文翻译:

不同的社区表现得像典型的随机生态系统

1972 年,罗伯特·梅发起了一项使用随机矩阵理论研究生态群落的全球研究计划。然而,尚不清楚我们是否以及何时可以将真实社区视为随机生态系统。在这里,我们利用随机矩阵理论和统计物理学的最新进展,将 May 的方法扩展到广义消费者资源模型。我们表明,在不同的生态系统中,即使在消费者偏好中加入适量的噪音也会导致向“典型”的转变,即社区的宏观生态特性与随机生态系统的生态特性无法区分,即使资源偏好具有突出的设计结构。我们使用对各种生态模型的数值模拟来测试这些想法。
更新日期:2021-09-28
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