首页 | 本学科首页   官方微博 | 高级检索  
     


Phenotypic evolution in stochastic environments: The contribution of frequency- and density-dependent selection
Authors:Steinar Engen  Jonathan Wright  Yimen G. Araya-Ajoy  Bernt-Erik Sæther
Affiliation:1. Department of Mathematical Sciences, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, N-7491 Norway;2. Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, N-7491 Norway
Abstract:Understanding how environmental variation affects phenotypic evolution requires models based on ecologically realistic assumptions that include variation in population size and specific mechanisms by which environmental fluctuations affect selection. Here we generalize quantitative genetic theory for environmentally induced stochastic selection to include general forms of frequency- and density-dependent selection. We show how the relevant fitness measure under stochastic selection relates to Fisher's fundamental theorem of natural selection, and present a general class of models in which density regulation acts through total use of resources rather than just population size. In this model, there is a constant adaptive topography for expected evolution, and the function maximized in the long run is the expected factor restricting population growth. This allows us to generalize several previous results and to explain why apparently “urn:x-wiley:00143820:media:evo14058:evo14058-math-0001-selected” species with slow life histories often have low carrying capacities. Our joint analysis of density- and frequency-dependent selection reveals more clearly the relationship between population dynamics and phenotypic evolution, enabling a broader range of eco-evolutionary analyses of some of the most interesting problems in evolution in the face of environmental variation.
Keywords:Adaptive topography  density-dependent selection  environmental stochasticity  frequency-dependent selection  phenotypic evolution  quantitative genetics
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号