Simon Burton
Department of Mathematical and Statistical Sciences, University of Colorado Denver, 1250 14th St., Denver, CO 80202, United States.
J Theor Biol. 2014 May 21;349:22-31. doi: 10.1016/j.jtbi.2014.01.030. Epub 2014 Jan 31.
Traditionally, the process of group selection has been described mathematically by discrete-time models, and analyzed using tools like the Price equation. This approach makes implicit assumptions about the process that are not valid in general, like the central role of synchronized mass-dispersion and group re-formation events. In many important examples (like hunter-gatherer tribes) there are no mass-dispersion events, and the group-level events that do occur, like fission, fusion, and extinction, occur asynchronously. Examples like these can be fully analyzed by the equations of two-level population dynamics (described here) so their models are dynamically sufficient. However, it will be shown that examples like these cannot be fully analyzed by kin selection (inclusive fitness) methods because kin selection versions of group selection models are not dynamically sufficient. This is a critical mathematical difference between group selection and kin selection models, which implies that the two theories are not mathematically equivalent.
传统上,群体选择过程是通过离散时间模型进行数学描述的,并使用诸如普赖斯方程之类的工具进行分析。这种方法对该过程做出了一些一般情况下无效的隐含假设,比如同步大规模扩散和群体重新形成事件的核心作用。在许多重要的例子中(如狩猎采集部落),不存在大规模扩散事件,而确实发生的群体层面的事件,如分裂、融合和灭绝,都是异步发生的。像这样的例子可以通过两级种群动态方程(在此描述)进行全面分析,因此它们的模型在动态上是充分的。然而,将会表明,像这样的例子不能通过亲缘选择(广义适合度)方法进行全面分析,因为群体选择模型的亲缘选择版本在动态上是不充分的。这是群体选择模型与亲缘选择模型之间的一个关键数学差异,这意味着这两种理论在数学上并不等效。