Literature DB >> 18557955

A review of extinction in experimental populations.

Blaine D Griffen1, John M Drake.   

Abstract

1. Population extinction is a fundamental ecological process. Recent experimental work has begun to test the large body of theory that predicts how demographic, genetic and environmental factors influence extinction risk. We review empirical studies of extinction conducted under controlled laboratory conditions. Our synthesis highlights four findings. First, extinction theory largely considers individual, isolated populations. However, species interactions frequently altered or even reversed the influence of environmental factors on population extinction as compared to single-species conditions, highlighting the need to integrate community ecology into population theory. 2. While most single-species studies qualitatively agree with theoretical predictions, studies are needed that quantitatively compare observed and predicted extinction rates. A quantitative understanding of extinction processes is needed to further advance theory and to predict population extinction resulting from human activities. 3. Many stresses leading to population extinction can be assuaged by migration between subpopulations. However, too much migration increases synchrony between subpopulations and thus increases extinction risk. Research is needed to determine how to strike a balance that maximizes the benefit of migration. 4. Results from laboratory experiments often conflict with field studies. Understanding these inconsistencies is crucial for extending extinction theory to natural populations.

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Year:  2008        PMID: 18557955     DOI: 10.1111/j.1365-2656.2008.01426.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  14 in total

1.  Scaling rules for the final decline to extinction.

Authors:  Blaine D Griffen; John M Drake
Journal:  Proc Biol Sci       Date:  2009-01-13       Impact factor: 5.349

2.  Determinants of extinction in fragmented plant populations: Crepis sancta (Asteraceae) in urban environments.

Authors:  Antoine Dornier; Pierre-Olivier Cheptou
Journal:  Oecologia       Date:  2011-12-27       Impact factor: 3.225

3.  Environment, but not migration rate, influences extinction risk in experimental metapopulations.

Authors:  Blaine D Griffen; John M Drake
Journal:  Proc Biol Sci       Date:  2009-09-23       Impact factor: 5.349

4.  Experimental demonstration of a two-phase population extinction hazard.

Authors:  John M Drake; Jeff Shapiro; Blaine D Griffen
Journal:  J R Soc Interface       Date:  2011-03-23       Impact factor: 4.118

5.  Extinction risk and eco-evolutionary dynamics in a variable environment with increasing frequency of extreme events.

Authors:  Simone Vincenzi
Journal:  J R Soc Interface       Date:  2014-08-06       Impact factor: 4.118

6.  Beyond the fragmentation threshold hypothesis: regime shifts in biodiversity across fragmented landscapes.

Authors:  Renata Pardini; Adriana de Arruda Bueno; Toby A Gardner; Paulo Inácio Prado; Jean Paul Metzger
Journal:  PLoS One       Date:  2010-10-27       Impact factor: 3.240

7.  Extinction hazards in experimental Daphnia magna populations: effects of genotype diversity and environmental variation.

Authors:  John D Robinson; John P Wares; John M Drake
Journal:  Ecol Evol       Date:  2012-12-21       Impact factor: 2.912

8.  Experimental demonstration of accelerated extinction in source-sink metapopulations.

Authors:  John M Drake; Blaine D Griffen
Journal:  Ecol Evol       Date:  2013-08-22       Impact factor: 2.912

9.  Effects of constant immigration on the dynamics and persistence of stable and unstable Drosophila populations.

Authors:  Snigdhadip Dey; Amitabh Joshi
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

10.  Temporal autocorrelation in host density increases establishment success of parasitoids in an experimental system.

Authors:  Elodie Vercken; Xavier Fauvergue; Nicolas Ris; Didier Crochard; Ludovic Mailleret
Journal:  Ecol Evol       Date:  2015-06-18       Impact factor: 2.912

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