Document Detail


Are species' responses to global change predicted by past niche evolution?
MedLine Citation:
PMID:  23209172     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Predicting how and when adaptive evolution might rescue species from global change, and integrating this process into tools of biodiversity forecasting, has now become an urgent task. Here, we explored whether recent population trends of species can be explained by their past rate of niche evolution, which can be inferred from increasingly available phylogenetic and niche data. We examined the assemblage of 409 European bird species for which estimates of demographic trends between 1970 and 2000 are available, along with a species-level phylogeny and data on climatic, habitat and trophic niches. We found that species' proneness to demographic decline is associated with slow evolution of the habitat niche in the past, in addition to certain current-day life-history and ecological traits. A similar result was found at a higher taxonomic level, where families prone to decline have had a history of slower evolution of climatic and habitat niches. Our results support the view that niche conservatism can prevent some species from coping with environmental change. Thus, linking patterns of past niche evolution and contemporary species dynamics for large species samples may provide insights into how niche evolution may rescue certain lineages in the face of global change.
Authors:
Sébastien Lavergne; Margaret E K Evans; Ian J Burfield; Frederic Jiguet; Wilfried Thuiller
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Philosophical transactions of the Royal Society of London. Series B, Biological sciences     Volume:  368     ISSN:  1471-2970     ISO Abbreviation:  Philos. Trans. R. Soc. Lond., B, Biol. Sci.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2012-12-04     Completed Date:  2013-05-07     Revised Date:  2014-01-23    
Medline Journal Info:
Nlm Unique ID:  7503623     Medline TA:  Philos Trans R Soc Lond B Biol Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  20120091     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Animal Migration / physiology
Animals
Biological Evolution*
Birds / classification,  physiology*
Body Weight
Climate
Conservation of Natural Resources / methods
Ecosystem*
Forecasting
Markov Chains
Phylogeny
Population Density
Species Specificity
Time Factors
Grant Support
ID/Acronym/Agency:
281422//European Research Council
Comments/Corrections

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