Literature DB >> 17174004

Why evolutionary biologists should be demographers.

C Jessica E Metcalf1, Samuel Pavard.   

Abstract

Evolution is driven by the propagation of genes, traits and individuals within and between populations. This propagation depends on the survival, fertility and dispersal of individuals at each age or stage during their life history, as well as on population growth and (st)age structure. Demography is therefore central to understanding evolution. Recent demographic research provides new perspectives on fitness, the spread of mutations within populations and the establishment of life histories in a phylogenetic context. New challenges resulting from individual heterogeneity, and instances where survival and reproduction are linked across generations are being recognized. Evolutionary demography is a field of exciting developments through both methodological and empirical advances. Here, we review these developments and outline two emergent research questions.

Mesh:

Year:  2006        PMID: 17174004     DOI: 10.1016/j.tree.2006.12.001

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  36 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

Review 2.  Before senescence: the evolutionary demography of ontogenesis.

Authors:  Daniel A Levitis
Journal:  Proc Biol Sci       Date:  2010-12-01       Impact factor: 5.349

3.  Fast-slow continuum and reproductive strategies structure plant life-history variation worldwide.

Authors:  Roberto Salguero-Gómez; Owen R Jones; Eelke Jongejans; Simon P Blomberg; David J Hodgson; Cyril Mbeau-Ache; Pieter A Zuidema; Hans de Kroon; Yvonne M Buckley
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-22       Impact factor: 11.205

4.  Estimating evolutionary parameters when viability selection is operating.

Authors:  Jarrod D Hadfield
Journal:  Proc Biol Sci       Date:  2008-03-22       Impact factor: 5.349

5.  Evolution of flowering decisions in a stochastic, density-dependent environment.

Authors:  C J E Metcalf; K E Rose; D Z Childs; A W Sheppard; P J Grubb; M Rees
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-18       Impact factor: 11.205

6.  Adaptive phenotypic plasticity for life-history and less fitness-related traits.

Authors:  Cristina Acasuso-Rivero; Courtney J Murren; Carl D Schlichting; Ulrich K Steiner
Journal:  Proc Biol Sci       Date:  2019-06-12       Impact factor: 5.349

7.  The marginal valuation of fertility.

Authors:  James Holland Jones; Rebecca Bliege Bird
Journal:  Evol Hum Behav       Date:  2014-01-01       Impact factor: 4.178

8.  Bayesian salamanders: analysing the demography of an underground population of the European plethodontid Speleomantes strinatii with state-space modelling.

Authors:  Jan Lindström; Richard Reeve; Sebastiano Salvidio
Journal:  BMC Ecol       Date:  2010-02-02       Impact factor: 2.964

9.  Demographic and genetic patterns of variation among populations of Arabidopsis thaliana from contrasting native environments.

Authors:  Alicia Montesinos; Stephen J Tonsor; Carlos Alonso-Blanco; F Xavier Picó
Journal:  PLoS One       Date:  2009-09-29       Impact factor: 3.240

10.  Demographic responses of Daphnia magna fed transgenic Bt-maize.

Authors:  Thomas Bøhn; Terje Traavik; Raul Primicerio
Journal:  Ecotoxicology       Date:  2009-10-27       Impact factor: 2.823

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