Literature DB >> 21227787

Detecting density dependence.

M P Hassell1.   

Abstract

Populations that persist do so, not by a juggling act balancing their rate of increase against a pot-pourri of unpredictable environmental factors, but rather by one or more processes that are broadly density-dependent, at least at some time or in some place. Detecting such density dependence is clearly of major importance in ecology. Unfortunately, many existing life table studies which set out with the aim of quantifying such processes are flawed by their lack of attention to within-generation factors causing differential birth and/or death rates between individuals. These factors can be very important to population regulation and are easily overlooked in analyses using only average population estimates.
Copyright © 1986. Published by Elsevier Ltd.

Year:  1986        PMID: 21227787     DOI: 10.1016/0169-5347(86)90031-5

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


  10 in total

1.  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

Review 2.  Pathogens, density dependence and the coexistence of tropical trees.

Authors:  Robert P Freckleton; Owen T Lewis
Journal:  Proc Biol Sci       Date:  2006-12-07       Impact factor: 5.349

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

Authors:  William L Vickery; Thomas D Nudds
Journal:  Oecologia       Date:  1991-01       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.  The equilibrium concept and density dependence tests What does it all mean?

Authors:  Henk Wolda
Journal:  Oecologia       Date:  1989-11       Impact factor: 3.225

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

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

7.  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

8.  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

9.  Density dependence and regulation in the systemNezara viridula (L.) (Hemiptera: Pentatomidae), host andTrichopoda giacomellii (Blanchard) (Diptera: Tachinidae), parasitoid.

Authors:  Gerardo Liljesthröm; Carlos Bernstein
Journal:  Oecologia       Date:  1990-08       Impact factor: 3.225

10.  Pathogenic modification of plants enhances long-distance dispersal of nonpersistently transmitted viruses to new hosts.

Authors:  Ruairí Donnelly; Nik J Cunniffe; John P Carr; Christopher A Gilligan
Journal:  Ecology       Date:  2019-05-21       Impact factor: 5.499

  10 in total

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