Grilli Jacopo, Adorisio Matteo, Suweis Samir, Barabás György, Banavar Jayanth R, Allesina Stefano, Maritan Amos
Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637, USA.
International School for Advanced Studies (SISSA), via Bonomea 265, I-34136 Trieste, Italy.
Nat Commun. 2017 Feb 24;8:14389. doi: 10.1038/ncomms14389.
The role of species interactions in controlling the interplay between the stability of ecosystems and their biodiversity is still not well understood. The ability of ecological communities to recover after small perturbations of the species abundances (local asymptotic stability) has been well studied, whereas the likelihood of a community to persist when the conditions change (structural stability) has received much less attention. Our goal is to understand the effects of diversity, interaction strengths and ecological network structure on the volume of parameter space leading to feasible equilibria. We develop a geometrical framework to study the range of conditions necessary for feasible coexistence. We show that feasibility is determined by few quantities describing the interactions, yielding a nontrivial complexity-feasibility relationship. Analysing more than 100 empirical networks, we show that the range of coexistence conditions in mutualistic systems can be analytically predicted. Finally, we characterize the geometric shape of the feasibility domain, thereby identifying the direction of perturbations that are more likely to cause extinctions.
物种相互作用在控制生态系统稳定性与其生物多样性之间相互关系中所起的作用仍未得到充分理解。生态群落从物种丰度的微小扰动后恢复的能力(局部渐近稳定性)已得到充分研究,而当条件变化时群落持续存在的可能性(结构稳定性)受到的关注则少得多。我们的目标是了解多样性、相互作用强度和生态网络结构对导致可行平衡的参数空间体积的影响。我们开发了一个几何框架来研究可行共存所需的条件范围。我们表明,可行性由描述相互作用的少数几个量决定,从而产生了一种非平凡的复杂性 - 可行性关系。通过分析100多个实证网络,我们表明互利系统中共存条件的范围可以通过分析预测。最后,我们刻画了可行性域的几何形状,从而确定更有可能导致灭绝的扰动方向。