Literature DB >> 14737713

Talkin' 'bout my generation: environmental variability and cohort effects.

Andrew P Beckerman1, Tim G Benton, Craig T Lapsley, Nils Koesters.   

Abstract

In variable environments, it is probable that environmental conditions in the past can influence demographic performance now. Cohort effects occur when these delayed life-history effects are synchronized among groups of individuals in a population. Here we show how plasticity in density-dependent demographic traits throughout the life cycle can lead to cohort effects and that there can be substantial population dynamic consequences of these effects. We show experimentally that density and food conditions early in development can influence subsequent juvenile life-history traits. We also show that conditions early in development can interact with conditions at maturity to shape future adult performance. In fact, conditions such as food availability and density at maturity, like conditions early in development, can generate cohort effects in mature stages. Based on these data, and on current theory about the effects of plasticity generated by historical environments, we make predictions about the consequences of such changes on density-dependent demography and on mite population dynamics. We use a stochastic cohort effects model to generate a range of population dynamics. In accordance with the theory, we find the predicted changes in the strength of density dependence and associated changes in population dynamics and population variability.

Mesh:

Year:  2003        PMID: 14737713     DOI: 10.1086/381056

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


  20 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.  Testing the interaction between environmental variation and dispersal strategy on population dynamics using a soil mite experimental system.

Authors:  Diana E Bowler; Tim G Benton
Journal:  Oecologia       Date:  2010-10-30       Impact factor: 3.225

3.  Habitat-performance relationships: finding the right metric at a given spatial scale.

Authors:  Jean-Michel Gaillard; Mark Hebblewhite; Anne Loison; Mark Fuller; Roger Powell; Mathieu Basille; Bram Van Moorter
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-07-27       Impact factor: 6.237

4.  Changes in maternal investment in eggs can affect population dynamics.

Authors:  T G Benton; S J Plaistow; A P Beckerman; C T Lapsley; S Littlejohns
Journal:  Proc Biol Sci       Date:  2005-07-07       Impact factor: 5.349

5.  How effective are maternal effects at having effects?

Authors:  Andrew P Beckerman; Tim G Benton; Craig T Lapsley; Nils Koesters
Journal:  Proc Biol Sci       Date:  2006-02-22       Impact factor: 5.349

Review 6.  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

Review 7.  Maternal effects mechanism of population cycling: a formidable competitor to the traditional predator-prey view.

Authors:  Pablo Inchausti; Lev R Ginzburg
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-04-27       Impact factor: 6.237

8.  The influence of context-dependent maternal effects on population dynamics: an experimental test.

Authors:  S J Plaistow; T G Benton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-04-27       Impact factor: 6.237

9.  Long-term fitness consequences of early environment in a long-lived ungulate.

Authors:  Gabriel Pigeon; Marco Festa-Bianchet; Fanie Pelletier
Journal:  Proc Biol Sci       Date:  2017-04-26       Impact factor: 5.349

10.  Age and size at maturity: sex, environmental variability and developmental thresholds.

Authors:  Stewart J Plaistow; Craig T Lapsley; Andrew P Beckerman; Tim G Benton
Journal:  Proc Biol Sci       Date:  2004-05-07       Impact factor: 5.349

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