Literature DB >> 17658573

Populations embedded in trophic communities respond differently to coloured environmental noise.

David A Vasseur1.   

Abstract

Noise in environmental variables is often described as 'coloured', where colour describes the exponent beta of the scaling relationship between the amplitude of variability and its frequency of occurrence (1/f(beta)). Different environments are known to have different colours and models have shown that colour can have important impacts upon population persistence and dynamics. This study advances current knowledge about the impact of environmental colour using a trophic model (consumer-resource) experiencing environmental noise (temperature) in a biologically realistic manner--derived mechanistically from metabolic scaling theory. The model demonstrates that the variability of consumers and resources can respond differently to changing environmental colour, depending upon (i) their relative ability to track and over or undercompensate for environmental changes and (ii) the relative sensitivity of their equilibria to environmental changes. These results form the basis with which to interpret differences and facilitate comparisons of the variability of ecological communities across gradients of environmental colour.

Mesh:

Year:  2007        PMID: 17658573     DOI: 10.1016/j.tpb.2007.06.002

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  4 in total

1.  Environmental variability uncovers disruptive effects of species' interactions on population dynamics.

Authors:  Sara Gudmundson; Anna Eklöf; Uno Wennergren
Journal:  Proc Biol Sci       Date:  2015-08-07       Impact factor: 5.349

2.  Environmental Variation Generates Environmental Opportunist Pathogen Outbreaks.

Authors:  Jani Anttila; Veijo Kaitala; Jouni Laakso; Lasse Ruokolainen
Journal:  PLoS One       Date:  2015-12-28       Impact factor: 3.240

3.  Spatio-temporal environmental correlation and population variability in simple metacommunities.

Authors:  Lasse Ruokolainen
Journal:  PLoS One       Date:  2013-08-30       Impact factor: 3.240

4.  Confounding environmental colour and distribution shape leads to underestimation of population extinction risk.

Authors:  Mike S Fowler; Lasse Ruokolainen
Journal:  PLoS One       Date:  2013-02-11       Impact factor: 3.240

  4 in total

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