Document Detail


Evolutionary rescue: an emerging focus at the intersection between ecology and evolution.
MedLine Citation:
PMID:  23209175     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
There is concern that the rate of environmental change is now exceeding the capacity of many populations to adapt. Mitigation of biodiversity loss requires science that integrates both ecological and evolutionary responses of populations and communities to rapid environmental change, and can identify the conditions that allow the recovery of declining populations. This special issue focuses on evolutionary rescue (ER), the idea that evolution might occur sufficiently fast to arrest population decline and allow population recovery before extinction ensues. ER emphasizes a shift to a perspective on evolutionary dynamics that focuses on short time-scales, genetic variants of large effects and absolute rather than relative fitness. The contributions in this issue reflect the state of field; the articles address the latest conceptual developments, and report novel theoretical and experimental results. The examples in this issue demonstrate that this burgeoning area of research can inform problems of direct practical concern, such as the conservation of biodiversity, adaptation to climate change and the emergence of infectious disease. The continued development of research on ER will be necessary if we are to understand the extent to which anthropogenic global change will reduce the Earth's biodiversity.
Authors:
Andrew Gonzalez; Ophélie Ronce; Regis Ferriere; Michael E Hochberg
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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:  2013-07-11    
Medline Journal Info:
Nlm Unique ID:  7503623     Medline TA:  Philos Trans R Soc Lond B Biol Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  20120404     Citation Subset:  IM    
Affiliation:
Department of Biology, McGill University, 1205 aveune Docteur Penfield, Montreal, Québec, Canada. andrew.gonzalez@mcgill.ca
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MeSH Terms
Descriptor/Qualifier:
Adaptation, Physiological*
Biological Evolution*
Climate Change
Ecosystem*
Extinction, Biological
Genetic Fitness
Genetic Variation
Population Density
Population Dynamics
Selection, Genetic
Stress, Physiological
Time Factors
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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