Literature DB >> 16701284

Stochastic population theory faces reality in the laboratory.

Bernt-Erik Saether1, Steinar Engen.   

Abstract

Understanding the factors that affect most severely the extinction risk of populations is crucial for maintaining biodiversity. An important general pattern derived from stochastic population theory is that time to extinction should decrease with increasing environmental stochasticity. Drake and Lodge recently provided one of the first pieces of experimental support for this simple prediction by artificially manipulating the dynamics of populations of Daphnia. A future challenge will be to include both demographic stochasticity and environmental stochasticity in such studies.

Entities:  

Year:  2004        PMID: 16701284     DOI: 10.1016/j.tree.2004.05.003

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  3 in total

1.  Power spectra reveal the influence of stochasticity on nonlinear population dynamics.

Authors:  Daniel C Reuman; Robert A Desharnais; Robert F Costantino; Omar S Ahmad; Joel E Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-20       Impact factor: 11.205

2.  Metapopulation extinction risk is increased by environmental stochasticity and assemblage complexity.

Authors:  James C Bull; Nicola J Pickup; Brian Pickett; Michael P Hassell; Michael B Bonsall
Journal:  Proc Biol Sci       Date:  2007-01-07       Impact factor: 5.349

3.  Experimental evidence for density-dependent survival in mallard (Anas platyrhynchos) ducklings.

Authors:  Gunnar Gunnarsson; Johan Elmberg; Kjell Sjöberg; Hannu Pöysä; Petri Nummi
Journal:  Oecologia       Date:  2006-05-31       Impact factor: 3.225

  3 in total

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