Evolutionary game theory and adaptive dynamics of continuous traits

被引:175
作者
McGill, Brian J. [1 ]
Brown, Joel S. [2 ]
机构
[1] McGill Univ, Dept Biol, Montreal, PQ H3A 1B1, Canada
[2] Univ Illinois, Dept Biol Sci, Chicago, IL 60607 USA
关键词
branching point; evolutionarily stable strategy (ESS);
D O I
10.1146/annurev.ecolsys.36.091704.175517
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Continuous-trait game theory fills the niche of enabling analytically solvable models of the evolution of biologically realistically complex traits. Game theory provides a mathematical language for understanding evolution by natural selection. Continuous-trait game theory starts with the notion of an evolutionarily stable strategy (ESS) and adds the concept of convergence stability (that the ESS is an evolutionary attractor). With these basic tools in hand, continuous-trait game theory can be easily extended to model evolution under conditions of disruptive selection and speciation, nonequilibrium population dynamics, stochastic environments, coevolution, and more. Many models applying these tools to evolutionary ecology and coevolution have been developed in the past two decades. Going forward we emphasize the communication of the conceptual simplicity and underlying unity of ideas inherent in continuous-trait game theory and the development of new applications to biological questions.
引用
收藏
页码:403 / 435
页数:33
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