Literature DB >> 16720388

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

Tim G Benton1, Stewart J Plaistow, Tim N Coulson.   

Abstract

Population dynamics result from the interplay of density-independent and density-dependent processes. Understanding this interplay is important, especially for being able to predict near-term population trajectories for management. In recent years, the study of model systems-experimental, observational and theoretical-has shed considerable light on the way that the both density-dependent and -independent aspects of the environment affect population dynamics via impacting on the organism's life history and therefore demography. These model-based approaches suggest that (i) individuals in different states differ in their demographic performance, (ii) these differences generate structure that can fluctuate independently of current total population size and so can influence the dynamics in important ways, (iii) individuals are strongly affected by both current and past environments, even when the past environments may be in previous generations and (iv) dynamics are typically complex and transient due to environmental noise perturbing complex population structures. For understanding population dynamics of any given system, we suggest that 'the devil is in the detail'. Experimental dissection of empirical systems is providing important insights into the details of the drivers of demographic responses and therefore dynamics and should also stimulate theory that incorporates relevant biological mechanism.

Mesh:

Year:  2006        PMID: 16720388      PMCID: PMC1560275          DOI: 10.1098/rspb.2006.3495

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


  45 in total

1.  Early development and fitness in birds and mammals.

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

Review 2.  Behavioural models of population growth rates: implications for conservation and prediction.

Authors:  William J Sutherland; Ken Norris
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-09-29       Impact factor: 6.237

3.  Genetic and plastic responses of a northern mammal to climate change.

Authors:  Denis Réale; Andrew G McAdam; Stan Boutin; Dominique Berteaux
Journal:  Proc Biol Sci       Date:  2003-03-22       Impact factor: 5.349

4.  Equivalence relationships between stage-structured population models.

Authors:  Jonathan M Yearsley; David Fletcher
Journal:  Math Biosci       Date:  2002 Sep-Oct       Impact factor: 2.144

5.  Visibility of the impact of environmental noise: a response to Kaitala and Ranta.

Authors:  Finlay Scott; Alastair Grant
Journal:  Proc Biol Sci       Date:  2004-06-07       Impact factor: 5.349

6.  Sprint research runs into a credibility gap.

Authors:  Kenneth Rice
Journal:  Nature       Date:  2004-11-11       Impact factor: 49.962

Review 7.  Causes and consequences of animal dispersal strategies: relating individual behaviour to spatial dynamics.

Authors:  Diana E Bowler; Tim G Benton
Journal:  Biol Rev Camb Philos Soc       Date:  2005-05

8.  Using reproductive value to estimate key parameters in density-independent age-structured populations.

Authors:  Steinar Engen; Russell Lande; Bernt-Erik Saether; Marco Festa-Bianchet
Journal:  J Theor Biol       Date:  2006-08-14       Impact factor: 2.691

9.  Dietary effects on life history traits in a terrestrial isopod: the importance of evaluating maternal effects and trade-offs.

Authors:  Marco A Lardies; Mauricio J Carter; Francisco Bozinovic
Journal:  Oecologia       Date:  2003-12-18       Impact factor: 3.225

10.  Environment-dependent reversal of a life history trade-off in the seed beetle Callosobruchus maculatus.

Authors:  F J Messina; J D Fry
Journal:  J Evol Biol       Date:  2003-05       Impact factor: 2.411

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  47 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.  Modelling ecological systems in a changing world.

Authors:  Matthew R Evans
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-01-19       Impact factor: 6.237

3.  The philosophy of modelling or does the philosophy of biology have any use?

Authors:  Steven Hecht Orzack
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-01-19       Impact factor: 6.237

4.  Variation of selfing rate and inbreeding depression among individuals and across generations within an admixed Cedrus population.

Authors:  M Ferriol; C Pichot; F Lefèvre
Journal:  Heredity (Edinb)       Date:  2010-04-28       Impact factor: 3.821

5.  Effects of weather and climate on the dynamics of animal population time series.

Authors:  Jonas Knape; Perry de Valpine
Journal:  Proc Biol Sci       Date:  2010-09-29       Impact factor: 5.349

6.  Age-specific survival and annual variation in survival of female chamois differ between populations.

Authors:  Josefa Bleu; Ivar Herfindal; Anne Loison; Anne M G Kwak; Mathieu Garel; Carole Toïgo; Thomas Rempfler; Flurin Filli; Bernt-Erik Sæther
Journal:  Oecologia       Date:  2015-08-20       Impact factor: 3.225

7.  Noise, nonlinearity and seasonality: the epidemics of whooping cough revisited.

Authors:  Hanh T H Nguyen; Pejman Rohani
Journal:  J R Soc Interface       Date:  2008-04-06       Impact factor: 4.118

8.  Environmental uncertainty, autocorrelation and the evolution of survival.

Authors:  C J E Metcalf; D N Koons
Journal:  Proc Biol Sci       Date:  2007-09-07       Impact factor: 5.349

9.  Wavelet analysis of ecological time series.

Authors:  Bernard Cazelles; Mario Chavez; Dominique Berteaux; Frédéric Ménard; Jon Olav Vik; Stéphanie Jenouvrier; Nils C Stenseth
Journal:  Oecologia       Date:  2008-05       Impact factor: 3.225

10.  Temporal variation of juvenile survival in a long-lived species: the role of parasites and body condition.

Authors:  Guillaume Souchay; Gilles Gauthier; Roger Pradel
Journal:  Oecologia       Date:  2013-03-01       Impact factor: 3.225

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