Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-04T18:56:08.577Z Has data issue: false hasContentIssue false

Spatial Pattern of the Imported Cabbageworm, Pieris rapae (L.) (Lepidoptera: Pieridae), on Cultivated Cruciferae

Published online by Cambridge University Press:  31 May 2012

D. G. Harcourt
Affiliation:
Entomology Research Institute, Research Branch, Canada Department of Agriculture, Ottawa, Ontario

Extract

It is universally recognized that the spatial distribution or pattern of animals and plants in nature is neither uniform nor truly random. In order to study a biological community quantitatively, or to assess the densities of living organisms in their habitats, ecologists have found it profitable to sample the space in which the organisms occur. The distribution of the number of individuals per sample is of fundamental importance.

Type
Articles
Copyright
Copyright © Entomological Society of Canada 1961

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

Anscombe, F. J. 1948. The transformation of Poisson, binomial and negative-binomial data. Biometrika 35: 246254.CrossRefGoogle Scholar
Anscombe, F. J. 1949. The statistical analysis of insect counts based on the negative binomial distribution. Biometrics 5: 165173.CrossRefGoogle Scholar
Anscombe, F. J. 1950. Sampling theory of the negative binomial and logarithmic series distribution. Biometrika 37: 358382.CrossRefGoogle Scholar
Bliss, C. I., and Fisher, R. A.. 1953. Fitting the negative binomial distribution to biological data. Biometrics 9: 176200.CrossRefGoogle Scholar
Bliss, C. I., and Calhoun, D. W.. 1954. An outline of biometry. Yale Cooperative Corp., New Haven.Google Scholar
Bliss, C. I., and A. Owen, R. G.. 1958. Negative binomial distributions with a common k. Biometrika 45: 3758.CrossRefGoogle Scholar
Evans, F. C. 1952. The influence of size of quadrat on the distributional patterns of plant populations. Contrib. Lab. Vert. Biol., Univ. Michigan No. 54.Google Scholar
Fisher, R. A. 1941. The negative binomial distribution. Ann. Eugenics 11: 182187.CrossRefGoogle Scholar
Fisher, R. A., Corbett, A. S., and Williams, C. B.. 1943. The relation between the number of species and the number of individuals in a random sample of an animal population. J. Animal Ecol. 12: 4258.CrossRefGoogle Scholar
Harcourt, D. G. 1960. Distribution of the immature stages of the diamondback moth, Plutella maculipennis (Curt.) (Lepidoptera: Plutellidae), on cabbage. Canadian Ent. 92: 517521.CrossRefGoogle Scholar
Harcourt, D. G. 1961. Design of a sampling plan for studies on the population dynamics of the diamondback moth, Plutella maculipennis (Curt.) (Lepidoptera: Plutellidae). Canadian Ent. 93: 820831.CrossRefGoogle Scholar
Morris, R. F. 1955. The development of sampling techniques for forest insect defoliators, with particular reference to the spruce budworm. Canadian J. Zool. 33: 225294.CrossRefGoogle Scholar
Pielou, E. C. 1957. The effect of quadrat size on the estimation of the parameters of Neyman's and Thomas's distributions, J. Ecol. 45: 3147.CrossRefGoogle Scholar
Skellam, J. G. 1952. Studies in statistical ecology. I. Spatial pattern. Biometrika 39: 346362.Google Scholar
Wadley, F. M. 1950. Notes on the form of distribution of insect and plant populations. Ann. Ent. Soc. America 43: 581586.CrossRefGoogle Scholar
Waters, W. E. 1959. A quantitative measure of aggregation in insects, J. Econ. Ent. 52: 11801184.CrossRefGoogle Scholar
Waters, W. E., and Henson, W. R.. 1959. Some sampling attributes of the negative binomial distribution with special reference to forest insects. Forest Sci. 5: 397412.CrossRefGoogle Scholar