Literature DB >> 22504541

Population responses to perturbations: the importance of trait-based analysis illustrated through a microcosm experiment.

Arpat Ozgul1, Tim Coulson, Alan Reynolds, Tom C Cameron, Tim G Benton.   

Abstract

Environmental change continually perturbs populations from a stable state, leading to transient dynamics that can last multiple generations. Several long-term studies have reported changes in trait distributions along with demographic response to environmental change. Here we conducted an experimental study on soil mites and investigated the interaction between demography and an individual trait over a period of nonstationary dynamics. By following individual fates and body sizes at each life-history stage, we investigated how body size and population density influenced demographic rates. By comparing the ability of two alternative approaches, a matrix projection model and an integral projection model, we investigated whether consideration of trait-based demography enhances our ability to predict transient dynamics. By utilizing a prospective perturbation analysis, we addressed which stage-specific demographic or trait-transition rate had the greatest influence on population dynamics. Both body size and population density had important effects on most rates; however, these effects differed substantially among life-history stages. Considering the observed trait-demography relationships resulted in better predictions of a population's response to perturbations, which highlights the role of phenotypic plasticity in transient dynamics. Although the perturbation analyses provided comparable predictions of stage-specific elasticities between the matrix and integral projection models, the order of importance of the life-history stages differed between the two analyses. In conclusion, we demonstrate how a trait-based demographic approach provides further insight into transient population dynamics.

Mesh:

Year:  2012        PMID: 22504541     DOI: 10.1086/664999

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  9 in total

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Journal:  Am Nat       Date:  2017-09-27       Impact factor: 3.926

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Authors:  Tom C Cameron; Daniel O'Sullivan; Alan Reynolds; Stuart B Piertney; Tim G Benton
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3.  Demographic responses underlying eco-evolutionary dynamics as revealed with inverse modelling.

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4.  Corridor quality affects net movement, size of dispersers, and population growth in experimental microcosms.

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Authors:  Mark Rees; Dylan Z Childs; Stephen P Ellner
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7.  Harvested populations are more variable only in more variable environments.

Authors:  Tom C Cameron; Daniel O'Sullivan; Alan Reynolds; Joseph P Hicks; Stuart B Piertney; Tim G Benton
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8.  Including trait-based early warning signals helps predict population collapse.

Authors:  Christopher F Clements; Arpat Ozgul
Journal:  Nat Commun       Date:  2016-03-24       Impact factor: 14.919

9.  Trait-based predictions and responses from laboratory mite populations to harvesting in stochastic environments.

Authors:  Isabel M Smallegange; Hedwig M Ens
Journal:  J Anim Ecol       Date:  2018-07       Impact factor: 5.091

  9 in total

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