Literature DB >> 12396513

Two complementary paradigms for analysing population dynamics.

Charles J Krebs1.   

Abstract

To understand why population growth rate is sometimes positive and sometimes negative, ecologists have adopted two main approaches. The most common approach is through the density paradigm by plotting population growth rate against population density. The second approach is through the mechanistic paradigm by plotting population growth rate against the relevant ecological processes affecting the population. The density paradigm is applied a posteriori, works sometimes but not always and is remarkably useless in solving management problems or in providing an understanding of why populations change in size. The mechanistic paradigm investigates the factors that supposedly drive density changes and is identical to Caughley's declining population paradigm of conservation biology. The assumption that we can uncover invariant relationships between population growth rate and some other variables is an article of faith. Numerous commercial fishery applications have failed to find the invariant relationships between stock and recruitment that are predicted by the density paradigm. Environmental variation is the rule, and non-equilibrial dynamics should force us to look for the mechanisms of population change. If multiple factors determine changes in population density, there can be no predictability in either of these paradigms and we will become environmental historians rather than scientists with useful generalizations for the population problems of this century. Defining our questions clearly and adopting an experimental approach with crisp alternative hypotheses and adequate controls will be essential to building useful generalizations for solving the practical problems of population management in fisheries, wildlife and conservation.

Mesh:

Year:  2002        PMID: 12396513      PMCID: PMC1693036          DOI: 10.1098/rstb.2002.1122

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  2 in total

Review 1.  Population growth rate and its determinants: an overview.

Authors:  Richard M Sibly; Jim Hone
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-09-29       Impact factor: 6.237

2.  Estimating the time to extinction in an island population of song sparrows.

Authors:  B E Saether; S Engen; R Lande; P Arcese; J N Smith
Journal:  Proc Biol Sci       Date:  2000-03-22       Impact factor: 5.349

  2 in total
  25 in total

Review 1.  Population growth rates: issues and an application.

Authors:  H Charles J Godfray; Mark Rees
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-09-29       Impact factor: 6.237

Review 2.  Population growth rate and its determinants: an overview.

Authors:  Richard M Sibly; Jim Hone
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2002-09-29       Impact factor: 6.237

3.  Density dependence: an ecological Tower of Babel.

Authors:  Salvador Herrando-Pérez; Steven Delean; Barry W Brook; Corey J A Bradshaw
Journal:  Oecologia       Date:  2012-05-31       Impact factor: 3.225

4.  Local-scale density-dependent survival of mobile organisms in continuous habitats: an experimental test using Atlantic salmon.

Authors:  Sigurd Einum; Keith H Nislow
Journal:  Oecologia       Date:  2005-01-15       Impact factor: 3.225

5.  Population-level assessment of risks of pesticides to birds and mammals in the UK.

Authors:  R M Sibly; H R Akçakaya; C J Topping; R J O'Connor
Journal:  Ecotoxicology       Date:  2005-11-22       Impact factor: 2.823

6.  Using behavioural and state variables to identify proximate causes of population change in a seabird.

Authors:  Sue Lewis; David Grémillet; Francis Daunt; Peter G Ryan; Robert J M Crawford; Sarah Wanless
Journal:  Oecologia       Date:  2005-12-02       Impact factor: 3.225

7.  Local environment and density-dependent feedbacks determine population growth in a forest herb.

Authors:  Johan P Dahlgren; Hannah Ostergård; Johan Ehrlén
Journal:  Oecologia       Date:  2014-09-17       Impact factor: 3.225

8.  Non-breeding season habitat quality mediates the strength of density-dependence for a migratory bird.

Authors:  Peter P Marra; Colin E Studds; Scott Wilson; T Scott Sillett; Thomas W Sherry; Richard T Holmes
Journal:  Proc Biol Sci       Date:  2015-07-22       Impact factor: 5.349

9.  Multiple density-dependence mechanisms regulate a migratory bird population during the breeding season.

Authors:  Nicholas L Rodenhouse; T Scott Sillett; Patrick J Doran; Richard T Holmes
Journal:  Proc Biol Sci       Date:  2003-10-22       Impact factor: 5.349

10.  The effects of spatial and temporal heterogeneity on the population dynamics of four animal species in a Danish landscape.

Authors:  Richard M Sibly; Jacob Nabe-Nielsen; Mads C Forchhammer; Valery E Forbes; Christopher J Topping
Journal:  BMC Ecol       Date:  2009-06-23       Impact factor: 2.964

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