Literature DB >> 28312480

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

K J Gaston1, J H Lawton1.   

Abstract

Principal and reduced major axes, and Bulmer's (1975) tests have been suggested as methods for detecting the presence of density dependence in a series of population censuses that are unsuitable for analysis by alternative means e.g. by k-factor analysis. These alternative methods are tested using census data, some of which are previously unpublished, from natural populations known from independent evidence to be subject to density dependent processes. All the methods fail to detect density dependence reliably, irrespective of sample size and the dynamics of the population. We conclude that none of the methods tested is sufficiently reliable to be useful as a test of density dependence in sequential censues of animal populations.

Keywords:  Animal populations; Autoregression; Density dependence; Major axes; Time series Census data

Year:  1987        PMID: 28312480     DOI: 10.1007/BF00378937

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


  3 in total

1.  The statistical analysis of density dependence.

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

2.  Detecting density dependence.

Authors:  M P Hassell
Journal:  Trends Ecol Evol       Date:  1986-10       Impact factor: 17.712

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

  3 in total
  14 in total

1.  Testing for density-dependent effects in sequential censuses.

Authors:  William L Vickery; Thomas D Nudds
Journal:  Oecologia       Date:  1991-01       Impact factor: 3.225

2.  An evaluation of bias in k-factor analysis.

Authors:  William L Vickery
Journal:  Oecologia       Date:  1991-01       Impact factor: 3.225

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

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

4.  New insights into testing for density dependence.

Authors:  M Holyoak
Journal:  Oecologia       Date:  1993-03       Impact factor: 3.225

5.  Avoiding erroneously high levels of detection in combinations of semi-independent tests : An application to testing for density dependence.

Authors:  M Holyoak; P H Crowley
Journal:  Oecologia       Date:  1993-03       Impact factor: 3.225

6.  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

7.  Variability and stability of a dragonfly assemblage.

Authors:  P H Crowley; D M Johnson
Journal:  Oecologia       Date:  1992-05       Impact factor: 3.225

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

Authors:  P J den Boer
Journal:  Oecologia       Date:  1991-05       Impact factor: 3.225

9.  Strong density-dependent survival and recruitment regulate the abundance of a coral reef fish.

Authors:  Graham E Forrester
Journal:  Oecologia       Date:  1995-08       Impact factor: 3.225

10.  Tests for density dependence revisited.

Authors:  David R Fox; James Ridsdill-Smith
Journal:  Oecologia       Date:  1995-09       Impact factor: 3.225

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.