Literature DB >> 16182329

The impact of environmental fluctuations on structured discrete time population models: resonance, synchrony and threshold behaviour.

J V Greenman1, T G Benton.   

Abstract

External forcing of a discrete time ecological system does not just add variation to existing dynamics but can change the dynamics. We study the mechanisms that can bring this about, focusing on the key concepts of excitation and suppression which emerge when analysing the power spectra of the system in linear approximation. Excitation, through resonance between the system dynamics and the external forcing, is the greater the closer the system is to the boundary of the stability region. This amplification means that the extinction of populations becomes possible sooner than expected and, conversely, invasion can be significantly delayed. Suppression and the consequent redistribution of power within the spectrum proves to be a function both of the connectivity of the network graph of the system and the way that external forcing is applied to the system. It is also established that colour in stochastic forcing can have a major impact, by enhancing resonance and by greater redistribution of power. This can mean a higher risk of extinction through larger fluctuations in population numbers and a higher degree of synchrony between populations. The implications of external forcing for stage-structured species, for populations in competition and for trophic web systems are studied using the tools and concepts developed in the paper.

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Year:  2005        PMID: 16182329     DOI: 10.1016/j.tpb.2005.06.007

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


  14 in total

1.  Individual variation and population dynamics: lessons from a simple system.

Authors:  T G Benton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-01-19       Impact factor: 6.237

2.  Revealing the ghost in the machine: using spectral analysis to understand the influence of noise on population dynamics.

Authors:  Tim G Benton
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-27       Impact factor: 11.205

3.  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

Review 4.  Complex population dynamics and complex causation: devils, details and demography.

Authors:  Tim G Benton; Stewart J Plaistow; Tim N Coulson
Journal:  Proc Biol Sci       Date:  2006-05-22       Impact factor: 5.349

5.  Community extinction patterns in coloured environments.

Authors:  Lasse Ruokolainen; Mike S Fowler
Journal:  Proc Biol Sci       Date:  2008-08-07       Impact factor: 5.349

6.  Decreasing stochasticity through enhanced seasonality in measles epidemics.

Authors:  N B Mantilla-Beniers; O N Bjørnstad; B T Grenfell; P Rohani
Journal:  J R Soc Interface       Date:  2009-10-14       Impact factor: 4.118

7.  Dynamic phenotypic clustering in noisy ecosystems.

Authors:  Morten Ernebjerg; Roy Kishony
Journal:  PLoS Comput Biol       Date:  2011-03-17       Impact factor: 4.475

8.  A simultaneous test of synchrony causal factors in muskrat and mink fur returns at different scales across Canada.

Authors:  Sergio A Estay; Abraham A Albornoz; Mauricio Lima; Mark S Boyce; Nils C Stenseth
Journal:  PLoS One       Date:  2011-11-10       Impact factor: 3.240

9.  Durable resistance to crop pathogens: an epidemiological framework to predict risk under uncertainty.

Authors:  Giovanni Lo Iacono; Frank van den Bosch; Chris A Gilligan
Journal:  PLoS Comput Biol       Date:  2013-01-17       Impact factor: 4.475

10.  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

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