A spatially explicit stochastic model demonstrates the feasibility of Wright's Shifting Balance Theory

被引:1
|
作者
Peck, SL
Ellner, SP
Gould, F
机构
[1] N Carolina State Univ, Dept Stat, Grad Program Biomath, Raleigh, NC 27695 USA
[2] N Carolina State Univ, Dept Entomol, Raleigh, NC 27695 USA
关键词
diffusion approximation; Sewall Wright; shifting-balance theory; stochastic simulation models; substructured populations;
D O I
10.2307/2411353
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Recently there has been a resurgence of theoretical papers exploring Wright's Shifting Balance Theory (SBT) of evolution. The SET explains how traits which must pass through an adaptive valley may evolve in substructured populations. It has been suggested that Phase III of the SET (the spread of new advantageous traits through the populations) proceeds only under a very restricted set of conditions. We show that Phase III can proceed under a much broader set of conditions in models that properly incorporate a key feature of Wright's theory: local, random migration of discrete individuals.
引用
收藏
页码:1834 / 1839
页数:6
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