Literature DB >> 19469807

Speed of expansion and extinction in experimental populations.

John M Drake1, Blaine D Griffen.   

Abstract

Although the causes of population extinction are well understood, the speed at which populations decline to extinction is not. A testable, counter-intuitive prediction of stochastic population theory is that, on average, for any interior interval of the domain of biologically attainable population sizes, the expected duration of increase equals the expected duration of decline. Here we report the first empirical tests of this hypothesis. Using data from two experiments in which replicate populations of Daphnia magna were observed to go extinct under different experimental conditions, we failed to reject the null hypothesis of no difference between the growth and decline phases in populations under constant conditions and conditions with modest environmental variability, but find strong evidence to reject equal first passage time in highly variable environments. These results confirm the prediction of equal passage times entailed by diffusion models of population dynamics, supporting continued application in both population theory and conservation decision making under the restricted conditions where the approximation can be expected to hold.

Entities:  

Mesh:

Year:  2009        PMID: 19469807     DOI: 10.1111/j.1461-0248.2009.01325.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  6 in total

1.  No early warning signals for stochastic transitions: insights from large deviation theory.

Authors:  Carl Boettiger; Alan Hastings
Journal:  Proc Biol Sci       Date:  2013-09-07       Impact factor: 5.349

2.  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

3.  Stabilizing spatially-structured populations through adaptive Limiter Control.

Authors:  Pratha Sah; Sutirth Dey
Journal:  PLoS One       Date:  2014-08-25       Impact factor: 3.240

4.  Infection in patchy populations: Contrasting pathogen invasion success and dispersal at varying times since host colonization.

Authors:  Louise S Nørgaard; Ben L Phillips; Matthew D Hall
Journal:  Evol Lett       Date:  2019-09-24

5.  An automated image analysis system to measure and count organisms in laboratory microcosms.

Authors:  François Mallard; Vincent Le Bourlot; Thomas Tully
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

6.  Investigating climate change and reproduction: experimental tools from evolutionary biology.

Authors:  Vera M Grazer; Oliver Y Martin
Journal:  Biology (Basel)       Date:  2012-09-13
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.