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Here, we take advantage of recent developments in speciation theory and modern computing power to build and explore a large-scale, stochastic, spatially explicit, individual-based model of adaptive radiation driven by adaptation to multidimensional ecological niches. We are able to model evolutionary dynamics of populations with hundreds of thousands of sexual diploid individuals over a time span of 100,000 generations assuming realistic mutation rates and allowing for genetic variation in a large number of both selected and neutral loci. Our results provide theoretical support and explanation for a number of empirical patterns including \u201carea effect,\u201d \u201covershooting effect,\u201d and \u201cleast action effect,\u201d as well as for the idea of a \u201cporous genome.\u201d Our findings suggest that the genetic architecture of traits involved in the most spectacular radiations might be rather simple. We show that a great majority of speciation events are concentrated early in the phylogeny. Our results emphasize the importance of ecological opportunity and genetic constraints in controlling the dynamics of adaptive radiation.<\/jats:p>","DOI":"10.1073\/pnas.0506330102","type":"journal-article","created":{"date-parts":[[2005,12,6]],"date-time":"2005-12-06T01:35:19Z","timestamp":1133832919000},"page":"18040-18045","update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":378,"title":["Dynamic patterns of adaptive radiation"],"prefix":"10.1073","volume":"102","author":[{"given":"Sergey","family":"Gavrilets","sequence":"first","affiliation":[{"name":"Departments of Ecology and Evolutionary Biology, Mathematics, and Computer Science, University of Tennessee, Knoxville, TN 37996"}]},{"given":"Aaron","family":"Vose","sequence":"additional","affiliation":[{"name":"Departments of Ecology and Evolutionary Biology, Mathematics, and Computer Science, University of Tennessee, Knoxville, TN 37996"}]}],"member":"341","published-online":{"date-parts":[[2005,12,5]]},"reference":[{"key":"e_1_3_2_1_2","doi-asserted-by":"crossref","unstructured":"Simpson G. 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