Levich Institute and Physics Department, City College of New York, New York, NY, United States of America.
Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ, United States of America.
PLoS One. 2020 Apr 24;15(4):e0228692. doi: 10.1371/journal.pone.0228692. eCollection 2020.
In 1972, Robert May showed that diversity is detrimental to an ecosystem since, as the number of species increases, the ecosystem is less stable. This is the so-called diversity-stability paradox, which has been derived by considering a mathematical model with linear interactions between the species. Despite being in contradiction with empirical evidence, the diversity-stability paradox has survived the test of time for over 40+ years. In this paper we first show that this paradox is a conclusion driven solely by the linearity of the model employed in its derivation which allows for the neglection of the fixed point solution in the stability analysis. The linear model leads to an ill-posed solution and along with it, its paradoxical stability predictions. We then consider a model ecosystem with nonlinear interactions between species, which leads to a stable ecosystem when the number of species is increased. The saturating non linear term in the species interaction is analogous to a Hill function appearing in systems like gene regulation, neurons, diffusion of information and ecosystems The exact fixed point solution of this model is based on k-core percolation and shows that the paradox disappears. This theoretical result, which is exact and non-perturbative, shows that diversity is beneficial to the ecosystem in agreement with analyzed experimental evidence.
1972 年,罗伯特·梅(Robert May)表明,多样性对生态系统是有害的,因为随着物种数量的增加,生态系统的稳定性降低。这就是所谓的多样性-稳定性悖论,它是通过考虑物种之间具有线性相互作用的数学模型得出的。尽管与经验证据相矛盾,但多样性-稳定性悖论在 40 多年的时间里经受住了考验。在本文中,我们首先表明,这种悖论仅仅是由模型的线性所驱动的结论,这种线性性忽略了稳定性分析中固定点解。线性模型导致病态解,以及随之而来的悖论稳定性预测。然后,我们考虑了一个具有物种间非线性相互作用的模型生态系统,当物种数量增加时,该模型会导致生态系统稳定。物种相互作用中的饱和非线性项类似于系统中的 Hill 函数,如基因调控、神经元、信息扩散和生态系统。该模型的精确固定点解基于 k-核渗流,表明悖论消失。这个理论结果是精确的和非微扰的,它表明多样性对生态系统是有益的,这与分析的实验证据一致。