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群体层面的事件是合作进化的催化剂。

Group-level events are catalysts in the evolution of cooperation.

作者信息

Simon Burton, Pilosov Michael

机构信息

Department of Mathematical and Statistical Sciences, University of Colorado Denver, United States.

出版信息

J Theor Biol. 2016 Dec 7;410:125-136. doi: 10.1016/j.jtbi.2016.08.021. Epub 2016 Aug 18.

Abstract

Group-level events, like fission and extinction, catalyze the evolution of cooperation in group-structured populations by creating new paths from uncooperative population states to more cooperative states. Group-level events allow cooperation to thrive under unfavorable conditions such as low intra-group assortment and moderate rates of migration, and can greatly speed up the evolution of cooperation when conditions are more favorable. The time-dependent effects of fission and extinction events are studied and illustrated here using a PDE model of a group-structured population based loosely on populations of hunter-gatherer tribes. By solving the PDE numerically we can compare models with and without group-level events, and explicitly calculate quantities associated with dynamics, like how long it takes a small population of cooperators to become a majority, as well as equilibrium population densities.

摘要

群体层面的事件,如分裂和灭绝,通过创造从不合作的群体状态到更合作状态的新路径,催化了群体结构种群中合作的进化。群体层面的事件使合作能够在诸如群体内部低分类性和适度迁移率等不利条件下蓬勃发展,并且在条件更有利时能够极大地加速合作的进化。本文使用一个基于狩猎采集部落群体的群体结构种群的偏微分方程(PDE)模型,研究并阐述了分裂和灭绝事件的时间依赖性效应。通过对偏微分方程进行数值求解,我们可以比较有和没有群体层面事件的模型,并明确计算与动态相关的量,比如一小群合作者成为多数需要多长时间,以及平衡种群密度。

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