Literature DB >> 28313329

Seeing the trees for the wood: random walks or bounded fluctuations of population size?

P J den Boer1.   

Abstract

It is often claimed that the fluctuation of numbers in field populations is fundamentally different from random walks of densities, in that population size is kept between certain positive limits. To test this hypothesis patterns of fluctuation in field populations were compared with random walks of density of about the same duration. It was found that the boundaries (Log-Range) between which numbers fluctuate in field populations increase with time to about the same extent as in comparable random walks of density. Moreover, deviations of the trend of numbers over years (Average lnR) from zero trend in populations of 62 (carabid) species were just those expected for simulated random walk runs, with the median value of Var(lnR), and different values for mean population size that cover the possible range of "survival times" for these species. This means that the null hypothesis that in the field numbers would fluctuate as random walks of densities could not be rejected. Although it is not very probable that field populations fluctuate exactly like random walks of densities, random walk models appear to mimic the fluctuation patterns of field populations sufficiently closely to explain what happens in nature, and to deny the need for regulation. The same conclusion was drawn in earlier studies where statistical tests were applied to fluctuation patterns of field populations (Den Boer and Reddingius 1989; Den Boer 1990a). Random walks of densities do not exclude the possibility that local populations can persist for some centuries.

Keywords:  Density dependence; Fluctuation pattern; Log-Range; Random walk; Regulation; Survival time

Year:  1991        PMID: 28313329     DOI: 10.1007/BF00318314

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  12 in total

1.  The statistical analysis of density dependence.

Authors:  M G Bulmer
Journal:  Biometrics       Date:  1975-12       Impact factor: 2.571

2.  On the stabilization of animal numbers. Problems of testing : 2. Conforntation with data from the field.

Authors:  P J den Boer; J Reddingius
Journal:  Oecologia       Date:  1989-05       Impact factor: 3.225

3.  Density dependence and the stabilization of animal numbers : 1. The winter moth.

Authors:  P J den Boer
Journal:  Oecologia       Date:  1986-07       Impact factor: 3.225

4.  On the stabilization of animal numbers. Problems of testing : 3. What do we conclude from significant test results?

Authors:  P J Den Boer
Journal:  Oecologia       Date:  1990-05       Impact factor: 3.225

5.  Fluctuations of density and survival of carabid populations.

Authors:  P J den Boer
Journal:  Oecologia       Date:  1985-10       Impact factor: 3.225

6.  A test of statistical techniques for detecting density dependence in sequential censuses of animal populations.

Authors:  K J Gaston; J H Lawton
Journal:  Oecologia       Date:  1987-12       Impact factor: 3.225

7.  On the survival of populations in a heterogeneous and variable environment.

Authors:  P J den Boer
Journal:  Oecologia       Date:  1981-08       Impact factor: 3.225

8.  Density dependence and the stabilization of animal numbers : 3. The winter moth reconsidered.

Authors:  P J den Boer
Journal:  Oecologia       Date:  1988-03       Impact factor: 3.225

9.  On the stabilization of animal numbers. Problems of testing : I. Power estimates and estimation errors.

Authors:  J Reddingius; P J den Boer
Journal:  Oecologia       Date:  1989-01       Impact factor: 3.225

10.  Simulation experiments illustrating stabilization of animal numbers by spreading of risk.

Authors:  Joannes Reddingius; P J den Boer
Journal:  Oecologia       Date:  1970-09       Impact factor: 3.225

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  6 in total

1.  Density dependence in rangeland grasshoppers (Orthoptera: Acrididae).

Authors:  William P Kemp; Brian Dennis
Journal:  Oecologia       Date:  1993-10       Impact factor: 3.225

2.  Density dependence, boundedness, and attraction: detecting stability in stochastic systems.

Authors:  P H Crowley
Journal:  Oecologia       Date:  1992-05       Impact factor: 3.225

3.  Coin-flipping plasticity and prolonged diapause in insects: example of the chestnut weevil Curculio elephas (Coleoptera: Curculionidae).

Authors:  F Menu; D Debouzie
Journal:  Oecologia       Date:  1993-03       Impact factor: 3.225

4.  Resources and dispersal as factors limiting a population of the tussock moth (Orgyia vetusta), a flightless defoliator.

Authors:  Susan Harrison
Journal:  Oecologia       Date:  1994-09       Impact factor: 3.225

5.  Density dependence tests, are they?

Authors:  Henk Wolda; Brian Dennis
Journal:  Oecologia       Date:  1993-10       Impact factor: 3.225

6.  Density dependence, population persistence, and largely futile arguments.

Authors:  Ilkka Hanski; Ian Woiwod; Joe Perry
Journal:  Oecologia       Date:  1993-10       Impact factor: 3.225

  6 in total

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