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POPULATION DYNAMICS OF LEPTINOTARSA DECEMLINEATA (SAY) IN EASTERN ONTARIO: III. MAJOR POPULATION PROCESSES1

Published online by Cambridge University Press:  31 May 2012

D. G. Harcourt
D. G. Harcourt
Affiliation:
Ottawa Research Station, Canada Department of Agriculture, Ottawa
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Abstract

An appraisal of population processes in the Colorado potato beetle, Leptinotarsa decemlineata (Say), on its principal host plant showed that the insect has no natural agents that act in a manner that prevent it from overshooting its food supply. It is little affected by weather conditions or predators, and its only parasite, the tachinid Doryphorophaga doryphorae (Riley), is inversely density dependent in its action. Once the beetle has exploited its food resource, the larvae starve and the adults emigrate in quest of other hosts.The analysis of age interval survivals showed that populations are both regulated and disturbed by the principal key factor, adult migration, which is density dependent but overcompensating. A predictive model based on density relationships explained 94% of the variance in population trend.

Type
Articles
Information
The Canadian Entomologist , Volume 103 , Issue 7 , July 1971 , pp. 1049 - 1061
Copyright
Copyright © Entomological Society of Canada 1971

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References

Haldane, J. B. S. 1949. Disease and evolution. In Symposium Sui fattori ecologici e genetici della speciazone negli animali. Ric. Sci. 19: 3–11.Google Scholar
Harcourt, D. G. 1963. Population dynamics of Leptinotarsa decemlineata (Say) in eastern Ontario. I. Spatial pattern and transformation of field counts. Can. Ent. 95: 813–820.CrossRefGoogle Scholar
Harcourt, D. G. 1964. Population dynamics of Leptinotarsa decemlineata (Say) in eastern Ontario. II.Population and mortality estimation during six age intervals. Can. Ent. 96: 1190–1198.CrossRefGoogle Scholar
Itô, Y., Shibazaki, A., and Iwahashi, O.. 1969. Biology of Hyphantria cunea Drury (Lepidoptera: Arctiidae) in Japan. IX. Population dynamics. Res. pop. Ecol. 11: 211–228.CrossRefGoogle Scholar
Kelleher, J. S. 1960. Life history and ecology of Doryphorophaga doryphorae (Riley), a tachinid parasite of the Colorado potato beetle. Ph.D. Thesis, Univ. of Minnesota.Google Scholar
Klomp, H. 1966 a. The analysis of density dependence in studies of insect population regulation. Proc. FAO Symp. Integ. Cont., Vol. 2, pp. 25–31.Google Scholar
Klomp, H. 1966 b. The dynamics of a field population of the pine looper, Bupalus piniarius L. Adv. ecol. Res. 3: 207–305.CrossRefGoogle Scholar
Klomp, H. 1968. A seventeen-year study of the abundance of the pine looper, Bupalus piniarius L. (Lepidoptera: Geometridae). In Insect abundance. Symp. R. ent. Soc. Lond., pp. 98–108.Google Scholar
Maelzer, D. A. 1970. The regression of log Nn+1 on log Nn as a test of density dependence: an exercise with computer-constructed density-independent populations. Ecology 51: 810–822.CrossRefGoogle Scholar
Morris, R. F. 1959. Single factor analysis in population dynamics. Ecology 40: 580–588.CrossRefGoogle Scholar
Morris, R. F. (Ed.). 1963 a. The dynamics of epidemic spruce budworm populations. Mem. ent. Soc. Can., No. 31, 332 pp.Google Scholar
Morris, R. F. 1963 b. Predictive population equations based on key factors. Mem. ent. Soc. Can., No. 32, pp. 16–21.CrossRefGoogle Scholar
Morris, R. F. and Miller, C. A.. 1954. The development of life tables for the spruce budworm. Can. J. Zool. 32: 283–301.CrossRefGoogle Scholar
Richards, O. W. and Southwood, T. R. E.. 1968. The abundance of insects: introduction. In Insect abundance. Symp. R. ent. Soc. Lond., pp. 1–7.Google Scholar
St. Amant, J. L. 1970. The detection of regulation in animal populations. Ecology 51: 823–828.CrossRefGoogle Scholar
Salt, G. W. 1966. An examination of logarithmic regression as a measure of population density response. Ecology 47: 1035–1039.CrossRefGoogle Scholar
Solomon, M. E. 1964. Analysis of processes involved in the natural control of insects. Adv. ecol. Res. 21: 1–58.Google Scholar
Solomon, M. E. 1968. Logarithmic regression as a measure of population density response: comment on a report by G. W. Salt. Ecology 49: 357–358.CrossRefGoogle Scholar
Southwood, T. R. E. 1966. Ecological methods. 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. 1963. The interpretation of change and stability in insect populations. Proc. R. ent. Soc. Lond. 27: 52–57.Google Scholar
Varley, G. C. and Gradwell, G. R.. 1960. Key factors in population studies. J. Anim. Ecol. 29: 399–401.CrossRefGoogle Scholar
Varley, G. C. and Gradwell, G. R.. 1963. Predatory insects as density dependent mortality factors. Proc. XVI int. Congr. Zool., Vol. 1, p. 240.Google Scholar
Varley, G. C. and Gradwell, G. R.. 1970. Recent advances in insect population dynamics. A. Rev. Ent. 15: 1–24.CrossRefGoogle Scholar
Watt, K. E. F. 1963. Mathematical population models for five agricultural crop pests. Mem. ent. Soc. Can., No. 32, pp. 83–91.CrossRefGoogle Scholar