Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-10T13:13:44.033Z Has data issue: false hasContentIssue false
  • English
  • Français

THE APPRAISAL OF DELAYED AND DIRECT DENSITY-DEPENDENCE1

Published online by Cambridge University Press:  31 May 2012

M. P. Hassell  and
C. B. Huffaker
M. P. Hassell
Affiliation:
Division of Biological Control, University of California, Berkeley
C. B. Huffaker
Affiliation:
Division of Biological Control, University of California, Berkeley
Get access Rights & Permissions [Opens in a new window]

Abstract

Of the methods designed to detect and measure the intensity of direct and delayed density-dependent types of mortality acting on populations, that of Morris has gained considerable acceptance. While this method of analysis has predictive value and provides a means of estimating direct density-dependence, it seems inappropriate to the detection and measurement of a delayed density-dependent mortality such as that normally associated with entomophagous parasites. The biological significance of the slopes of the linear regressions calculated in the Morris method is discussed, and population models based on the theory of Nicholson and Bailey are presented in support of the argument.

Type
Articles
Information
The Canadian Entomologist , Volume 101 , Issue 4 , April 1969 , pp. 353 - 361
Copyright
Copyright © Entomological Society of Canada 1969

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Clark, L. R., et al. 1967. The ecology of insect populations in theory and practice. Methuen, London.Google Scholar
DeBach, P., and Bartlett, B. R.. 1964. Methods of colonization, recovery and evaluation, pp. 402–426. In DeBach, P. (ed.), Biological control of insect pests and weeds. Reinhold Publishing Corporation, New York.Google Scholar
Hassell, M. P. 1966. Evaluation of parasite or predator responses. J. Anim. Ecol. 35: 65–75.Google Scholar
Holling, C. S. 1959. Some characteristics of simple types of predation and parasitism. Can. Ent. 91: 385–398.Google Scholar
Holling, C. S. 1966. The functional response of invertebrate predators to prey density. Mem. ent. Soc. Can., No. 48.Google Scholar
Huffaker, C. B., et al. 1968. Some parameters in the role of enemies in the natural control of insect abundance. In Southwood, T. R. E. (ed.), Insect abundance. Symp. R. ent. Soc. Lond. 4: 59–75Google Scholar
Miller, C A. 1959. The interaction of the spruce budworm, Choristoneura fumiferana (Clem.), and the parasite Apanteles fumiferanae Vier. Can. Ent. 91: 457–477.Google Scholar
Miller, C. A. 1960. The interaction of the spruce budworm, Choristoneura fumiferana (Clem.), and the parasite Glypta fumiferanae (Vier.) Can. Snt. 92: 839–850.Google Scholar
Miller, C. A. 1966. The black-headed budworm in Eastern Canada. Can. Ent. 98: 592–613.CrossRefGoogle Scholar
Morris, R. F. 1959. Single factor analysis in population dynamics. Ecology 40: 580–588.Google Scholar
Morris, R. F. 1963 a. The development of predictive equations for the spruce budworm based on key-factor analysis. In Morris, R. F. (ed.), The dynamics of epidemic spruce budworm populations. Mem. ent. Soc. Can., No. 31.Google Scholar
Morris, R. F. 1963 b. Predictive population equations based on key factors. In LeRoux, J., et al. (ed.), Population dynamics of agricultural and forest insect pests. Mem. ent. Soc. Can., No. 32.Google Scholar
Neilson, M. M., and Morris, R. F.. 1964. The regulation of European spruce sawfly numbers in the maritime provinces of Canada from 1937 to 1963. Can. Ent. 96: 773–784.CrossRefGoogle Scholar
Nicholson, A. J. 1933. The balance of animal populations. J. Anim. Ecol. 2: 132–178.CrossRefGoogle Scholar
Nicholson, A. J., and Bailey, V. A.. 1935. The balance of animal populations, Part I. Proc. zool. Soc. Lond.: 551–598.Google Scholar
Southwood, T. R. E. 1966. Ecological methods with particular reference to the study of insect populations. Methuen, London.Google Scholar
Southwood, T. R. E. 1967. The interpretation of population change. J. Anim. Ecol. 36: 519–529.CrossRefGoogle Scholar
Varley, G. C., and Gradwell, G. R.. 1963. The interpretation of insect population changes. Proc. Ceylon Ass. Advmt Sci. 18: 142–156.Google Scholar
Varley, G. C., and Gradwell, G. R.. 1968. Population models for the winter moth. In Southwood, T. R. E. (ed.), Insect abundance Symp. R. ent. Soc. Lond. 4: 132–142.Google Scholar
Watt, K. E. F. 1959. A mathematical model for the effect of densities of attacked and attacking species on the number attacked. Can. Ent. 91: 129–144.Google Scholar