Dobrinevski Alexander, Alava Mikko, Reichenbach Tobias, Frey Erwin
CNRS-Laboratoire de Physique Théorique de l'Ecole Normale Supérieure, 24 rue Lhomond, 75005 Paris Cedex, France.
Aalto University, School of Science, Department of Applied Physics, PO Box 11100, 00076 Aalto, Finland.
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jan;89(1):012721. doi: 10.1103/PhysRevE.89.012721. Epub 2014 Jan 28.
Standard models of population dynamics focus on the interaction, survival, and extinction of the competing species individually. Real ecological systems, however, are characterized by an abundance of species (or strategies, in the terminology of evolutionary-game theory) that form intricate, complex interaction networks. The description of the ensuing dynamics may be aided by studying associations of certain strategies rather than individual ones. Here we show how such a higher-level description can bear fruitful insight. Motivated from different strains of colicinogenic Escherichia coli bacteria, we investigate a four-strategy system which contains a three-strategy cycle and a neutral alliance of two strategies. We find that the stochastic, spatial model exhibits a mobility-dependent selection of either the three-strategy cycle or of the neutral pair. We analyze this intriguing phenomenon numerically and analytically.
种群动态的标准模型分别关注竞争物种的相互作用、生存和灭绝。然而,真实的生态系统的特征是存在大量形成复杂相互作用网络的物种(或者用进化博弈论的术语来说,策略)。通过研究某些策略的组合而非单个策略,可能有助于描述由此产生的动态。在这里,我们展示了这种更高层次的描述如何能带来富有成效的见解。受不同产大肠杆菌素的大肠杆菌菌株的启发,我们研究了一个包含三策略循环和两个策略的中性联盟的四策略系统。我们发现,随机空间模型表现出对三策略循环或中性对的与迁移率相关的选择。我们通过数值和解析方法分析了这一有趣现象。