Document Detail

When should we expect early bursts of trait evolution in comparative data? Predictions from an evolutionary food web model.
MedLine Citation:
PMID:  22779736     Owner:  NLM     Status:  Publisher    
Conceptual models of adaptive radiation predict that competitive interactions among species will result in an early burst of speciation and trait evolution followed by a slowdown in diversification rates. Empirical studies often show early accumulation of lineages in phylogenetic trees, but usually fail to detect early bursts of phenotypic evolution. We use an evolutionary simulation model to assemble food webs through adaptive radiation, and examine patterns in the resulting phylogenetic trees and species' traits (body size and trophic position). We find that when foraging trade-offs result in food webs where all species occupy integer trophic levels, lineage diversity and trait disparity are concentrated early in the tree, consistent with the early burst model. In contrast, in food webs in which many omnivorous species feed at multiple trophic levels, high levels of turnover of species' identities and traits tend to eliminate the early burst signal. These results suggest testable predictions about how the niche structure of ecological communities may be reflected by macroevolutionary patterns.
T Ingram; L J Harmon; J B Shurin
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-11
Journal Detail:
Title:  Journal of evolutionary biology     Volume:  -     ISSN:  1420-9101     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-7-11     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8809954     Medline TA:  J Evol Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
© 2008 The Authors. Journal of Evolutionary Biology © 2008 European Society For Evolutionary Biology.
Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada Department of Biological Sciences, University of Idaho, Moscow, ID, USA Division of Biological Sciences, University of California at San Diego, La Jolla, CA, USA.
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