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Spatial dispersion patterns of larval Aedes cantans (Diptera: Culicidae) in temporary woodland pools

Published online by Cambridge University Press:  10 July 2009

M. Renshaw ,
J.B. Silver ,
M.W. Service  and
M.H. Birley
M. Renshaw*
Affiliation:
Liverpool School of Tropical Medicine, UK
J.B. Silver
Affiliation:
Liverpool School of Tropical Medicine, UK
M.W. Service
Affiliation:
Liverpool School of Tropical Medicine, UK
M.H. Birley
Affiliation:
Liverpool School of Tropical Medicine, UK
*
Dr M. Renshaw, Liverpool School of Tropical Medicine, Pembroke Place, London Road, Liverpool, L3 5QA, UK.
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Abstract

The spatial dispersion patterns of larvae of the Palaearctic mosquito Aedes cantans (Meigen) were studied in two temporary woodland pools in England, between 1988 and 1990. Variance to mean ratios indicated that all larval instars were aggregated, but the degree of aggregation differed between ponds and between years, depending on the population density. The negative binomial model was found to fit the majority of the data, and the values for the parameter k varied between 0.05 and 0.96. Taylor's power law gave a good fit to the data with values of b, an index of aggregation, varying between 1.42 and 1.91. Iwao's patchiness regression yielded values for α between –1.63 and 6.92, and β from 1.49 to 3.25. These values indicate that the population is aggregated due to habitat heterogeneity, and younger instars may demonstrate a propensity to congregate with one another. A relationship between water temperature and mean number of larvae sampled at each transect point was observed in Pond One in 1989, suggesting that larvae aggregate where water temperatures are higher.

Type
Research Article
Information
Bulletin of Entomological Research , Volume 85 , Issue 1 , March 1995 , pp. 125 - 133
Copyright
Copyright © Cambridge University Press 1995

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References

Andis, M.D. & Meek, C.L. (1984) Bionomics of Louisiana ricefield mosquito larvae II. Spatial dispersion patterns. Mosquito News 44, 371–376.Google Scholar
Anscombe, F.J. (1950) Sampling theory of the negative binomial and logarithmic series distributions. Biometrika 37, 358–382.CrossRefGoogle ScholarPubMed
Bliss, C.I. & Fisher, R.A. (1953) Fitting the negative binomial distribution to biological data. Biometrics 9, 176–200.CrossRefGoogle Scholar
Boswell, M.T. & Patil, G.P. (1970) Chance mechanisms generating the negative binomial distributions. pp. 3–22 in Patil, G.P. (Ed.) Random counts in scientific work. Pennsylvania, Pennsylvania State University Press.Google Scholar
Cassie, R.M. (1962) Frequency distribution models in the ecology of plankton and other organisms. Journal of Animal Ecology 31, 65–92.CrossRefGoogle Scholar
Elliott, J.M. (1977) Some methods for the statistical analysis of samples of benthic invertebrates. Scientific Publication No. 25. 159pp. Ambleside, Freshwater Biological Association.Google Scholar
Haufe, W.O. & Burgess, L. (1956) Development of Aedes (Diptera: Culicidae) at Fort Churchill, Manitoba, and prediction of dates of emergence. Ecology 37, 500–519.CrossRefGoogle Scholar
Hocking, B. (1953) Notes on the activities of Aedes larvae. Mosquito News 14, 121–123.Google Scholar
Ivanova, L.V. (1940) The influence of temperature on the behaviour of the Anopheles maculipennis larvae. Medical Parasitology, Moscow 9, 58–70. (In Russian with English summary.)Google Scholar
Iwao, S. (1968) A new regression method for analysing the aggregation pattern of animal populations. Research in Population Ecology 10, 1–20.CrossRefGoogle Scholar
Lakhani, H. & Service, M.W. (1974) Estimated mortalities of the immature stages of Aedes cantans (Meigen) (Diptera: Culicidae) in a natural habitat. Bulletin of Entomological Research 64, 265–276.CrossRefGoogle Scholar
Lloyd, M. (1967) Mean crowding. Journal of Animal Ecology 36, 1–30.CrossRefGoogle Scholar
Ludwig, J.A. & Reynolds, J.F. (1988) Statistical ecology: a primer on methods and computing. 325 pp. New York. J. Wiley & Sons.Google Scholar
Marshall, J.F. (1938) The British mosquitoes. 341 pp. London, British Museum (Natural History).Google Scholar
Mogi, M. (1984) Distribution and overcrowding effects in mosquito larvae (Diptera: Culcidae) inhabiting Taro axils in the Ryukus, Japan. Journal of Medical Entomology 21, 63–68.CrossRefGoogle Scholar
Morris, C.D., Callahan, J.L. & Lewis, R.H. (1990) Distribution and abundance of larval Coquillettidia perturbans in a Florida freshwater marsh. Journal of the American Mosquito Control Association. 6, 452–460.Google Scholar
Nielsen, E.T. & Nielsen, A.T. (1953) Field observations on the habits of Aedes taeniorhynchus. Ecology 34, 141–156.CrossRefGoogle Scholar
Omardeen, T.A. (1957) The behaviour of larvae and pupae of Aedes aegypti (L) in light and temperature gradients. Bulletin of Entomological Research 48, 349–357.CrossRefGoogle Scholar
Perry, J.N. & Woiwood, I.P. (1992) Fitting Taylor's power law. Oikos 65, 538–542.CrossRefGoogle Scholar
Renshaw, M., Service, M.W. & Birley, M.H. (1993) Density-dependent regulation of Aedes cantans (Diptera: Culicidae) in natural and artificial populations. Ecological Entomology 18, 223–233.CrossRefGoogle Scholar
Routledge, R.D. & Swartz, T.B. (1991) Taylor's power law re-examined. Oikos, 60, 107–112.CrossRefGoogle Scholar
Sandoski, C.A., Kring, T.J., Yearian, W.C. & Meisch, M.V. (1987) Sampling and distribution of Anopheles quadrimaculatus immatures in rice fields. Journal of the American Mosquito Control Association 3, 611–615.Google ScholarPubMed
Service, M.W. (1985) Population dynamics and mortalities of mosquito preadults. pp. 185–201 in Lounibos, L.P., Rey, J.R. & Frank, J.H. (Eds) Ecology of mosquitoes: proceedings of a workshop. Florida, Florida Medical Entomology Laboratory, Vero Beach.Google Scholar
Service, M.W. (1993) Mosquito ecology: field sampling methods. 2nd edn.988 pp. London, Chapman & Hall.Google Scholar
Southwood, T.R.E. (1978) Ecological methods with particular reference to the study of insect populations. 2nd edn.524 pp. London, Chapman & Hall.Google Scholar
Taylor, L.R. (1961) Aggregation, variance and the mean. Nature, London 189, 732–735.CrossRefGoogle Scholar
Taylor, L.R. (1984) Assessing and interpreting the spatial distributions of insect populations. Annual Review of Entomology 29, 321–357.CrossRefGoogle Scholar
Taylor, L.R., Woiwood, I.P. & Perry, J.N. (1979) The negative binomial as a dynamic ecological model for aggregation and the density-dependence of k. Journal of Animal Ecology. 48, 289–304.CrossRefGoogle Scholar
Walker, E.D., Merritt, R.W. & Wotton, R.S. (1988) Analysis of the distribution and abundance of Anopheles quadrimaculatus (Diptera: Culicidae) larvae in a marsh. Environmental Entomology 17, 992–999.CrossRefGoogle Scholar
Widahl, L.E. (1992) Flow patterns around suspension-feeding mosquito larvae (Diptera: Culicidae). Annals of the Entomological Society of America 85, 91–95.CrossRefGoogle Scholar