Literature DB >> 15129956

Evolution of size-dependent flowering in a variable environment: partitioning the effects of fluctuating selection.

Mark Rees1, Dylan Z Childs, Karen E Rose, Peter J Grubb.   

Abstract

In a stochastic environment, two distinct processes, namely nonlinear averaging and non-equilibrium dynamics, influence fitness. We develop methods for decomposing the effects of temporal variation in demography into contributions from nonlinear averaging and non-equilibrium dynamics. We illustrate the approach using Carlina vulgaris, a monocarpic species in which recruitment, growth and survival all vary from year to year. In Carlina the absolute effect of temporal variation on the evolutionarily stable flowering strategy is substantial (ca. 50% of the evolutionarily stable flowering size) but the net effect is much smaller (ca. 10%) because the effects of temporal variation do not influence the evolutionarily stable strategy in the same direction.

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Mesh:

Year:  2004        PMID: 15129956      PMCID: PMC1691614          DOI: 10.1098/rspb.2003.2596

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  4 in total

1.  Jensen's inequality predicts effects of environmental variation.

Authors: 
Journal:  Trends Ecol Evol       Date:  1999-09       Impact factor: 17.712

2.  Evolution of Size-Dependent Flowering in Onopordum illyricum: A Quantitative Assessment of the Role of Stochastic Selection Pressures.

Authors:  Mark Rees; Andy Sheppard; David Briese; Marc Mangel
Journal:  Am Nat       Date:  1999-12       Impact factor: 3.926

3.  Evolution in the real world: stochastic variation and the determinants of fitness in Carlina vulgaris.

Authors:  Karen E Rose; Mark Rees; Peter J Grubb
Journal:  Evolution       Date:  2002-07       Impact factor: 3.694

4.  Evolution of complex flowering strategies: an age- and size-structured integral projection model.

Authors:  Dylan Z Childs; Mark Rees; Karen E Rose; Peter J Grubb; Stephen P Ellner
Journal:  Proc Biol Sci       Date:  2003-09-07       Impact factor: 5.349

  4 in total
  10 in total

Review 1.  Evolutionary bet-hedging in the real world: empirical evidence and challenges revealed by plants.

Authors:  Dylan Z Childs; C J E Metcalf; Mark Rees
Journal:  Proc Biol Sci       Date:  2010-06-23       Impact factor: 5.349

2.  Bet-hedging as an evolutionary game: the trade-off between egg size and number.

Authors:  Mark Rees; C Jessica; E Metcalf; Dylan Z Childs
Journal:  Proc Biol Sci       Date:  2009-12-16       Impact factor: 5.349

3.  Longitudinal analysis of Plantago: adaptive benefits of iteroparity in a short-lived, herbaceous perennial.

Authors:  Richard P Shefferson; Deborah A Roach
Journal:  Ecology       Date:  2010-02       Impact factor: 5.499

4.  Stochastic stable population growth in integral projection models: theory and application.

Authors:  Stephen P Ellner; Mark Rees
Journal:  J Math Biol       Date:  2006-11-23       Impact factor: 2.259

5.  Genetic differentiation for size at first reproduction through male versus female functions in the widespread Mediterranean tree Pinus pinaster.

Authors:  L Santos-del-Blanco; J Climent; S C González-Martínez; J R Pannell
Journal:  Ann Bot       Date:  2012-09-21       Impact factor: 4.357

6.  Opportunities and challenges of Integral Projection Models for modelling host-parasite dynamics.

Authors:  C Jessica E Metcalf; Andrea L Graham; Micaela Martinez-Bakker; Dylan Z Childs
Journal:  J Anim Ecol       Date:  2015-12-01       Impact factor: 5.091

7.  The evolution of labile traits in sex- and age-structured populations.

Authors:  Dylan Z Childs; Ben C Sheldon; Mark Rees
Journal:  J Anim Ecol       Date:  2016-03       Impact factor: 5.091

8.  Minimal-Risk Seed Heteromorphism: Proportions of Seed Morphs for Optimal Risk-Averse Heteromorphic Strategies.

Authors:  P William Hughes
Journal:  Front Plant Sci       Date:  2018-10-01       Impact factor: 5.753

Review 9.  Fluctuating selection: the perpetual renewal of adaptation in variable environments.

Authors:  Graham Bell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-01-12       Impact factor: 6.237

10.  An Individual-Based Diploid Model Predicts Limited Conditions Under Which Stochastic Gene Expression Becomes Advantageous.

Authors:  Tomotaka Matsumoto; Katsuhiko Mineta; Naoki Osada; Hitoshi Araki
Journal:  Front Genet       Date:  2015-11-24       Impact factor: 4.599

  10 in total

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