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SPATIAL DISTRIBUTION OF INSECT SPECIES IN GRANARY RESIDUES IN THE PRAIRIE PROVINCES1

Published online by Cambridge University Press:  31 May 2012

P.S. Barker  and
L.B. Smith
P.S. Barker
Affiliation:
Agriculture Canada Research Station, 195 Dafoe Road, Winnipeg, Manitoba, Canada R3T 2M9
L.B. Smith
Affiliation:
Agriculture Canada Research Station, 195 Dafoe Road, Winnipeg, Manitoba, Canada R3T 2M9
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Abstract

The distribution of selected insect species among samples from empty farm granaries in the Prairie Provinces was determined as a guide to determining the number of samples that would have to be collected to obtain reliable estimates of the average number of these species. The number of pest and fungivorous species (adults) per sample followed a negative bionomial distribution for Manitoba data but the number of pest species adults from Sasktachewan followed a Poisson distribution. In Alberta, 39 granary samples contained only one pest species and 507 had none. The number of pests per sample from Manitoba and Saskatchewan and the number of fungivorous species from Manitoba also fitted logarithmic series.

The mean number of individuals of each species found in samples (adults or larvae) was always smaller than the variance and the distribution of insect counts followed the negative binomial distribution. Tribolium audax Halstead adults from Alberta also followed a Poisson distribution.

The numbers of samples required to provide a predetermined measure of precision for the numbers of species per sample (Manitoba data) and for the numbers of individuals per sample of 15 species (adults or larvae) for each of the three Prairie Provinces were calculated.

Résumé

La distribution de certains espèces d’insectes entre cellules vides des fermes dans les provinces des prairies fut calculé comme guide pour la détermination du numéro d’échantillons qui pourront donner une évaluation de confiance pour l’estimation de la moyenne des nombres de ces espèces. Le numéro des espèces nuisibles et fongivores (adultes) trouvés par échantillon ont suivi la distribution binôme négatif dans le Manitoba, mais le numéro des espèces nuisibles (adultes) trouvés par échantillon ont suivi la distribution Poisson dans la Saskatchewan. Dans l’Alberta on a trouvé seulement une espèce d’insecte nuisible dans 39 et aucune dans 507 échantillons. Le numéro des espèces nuisibles trouvés par échantillon dans le Manitoba et la Saskatchewan et le numéro des espèces fongivores du Manitoba ont suivi la série logarithmique.

Le nombre moyen d’individus (adultes et larves) par échantillon était toujours plus petite que la variance et la distribution du numéro d’individus de chaque espèce trouvé par échantillon suivait généralement le binôme négatif. Seulement les adultes de Tribolium audax Halstead ont suivi aussi la distribution Poisson.

On a calculé le nombre d’échantillons nécessaires pour obtenir un niveau prédéterminé de précision pour le nombre d’espèces (Manitoba) et pour le nombre d’individus de 15 espèces (adultes et larves) par échantillon dans les trois provinces.

Type
Articles
Information
The Canadian Entomologist , Volume 119 , Issue 12 , December 1987 , pp. 1123 - 1130
Copyright
Copyright © Entomological Society of Canada 1987

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References

Bliss, C.T. 1971. The aggregation of species of spatial units. Statistical Ecol. 1: 311–335.Google Scholar
Clapham, A.R. 1929. The estimation of yield in cereal crops by sampling methods. J. Agric. Sci. 19: 214–235.CrossRefGoogle Scholar
Cotton, R.T. 1956. Pests of stored grain and grain products. Burgess Publ. Co., Minneapolis. 306 pp.Google Scholar
Cotton, R.T., and Gray, H.E.. 1948. Preservation of grains and cereal products in storage from insect attack. pp. 35–71in Easter, S.S. (Ed.), Preservation of Grains in Storage. FAO Agric. Studies No. 2.Google Scholar
Fisher, R.A., Corbet, 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. Anim. Ecol. 12: 42–58.CrossRefGoogle Scholar
Hagstrum, D.W., Milliken, G.A., and Waddell, M.S.. 1985. Insect distribution in bulk-stored wheat in relation to detection or estimation of abundance. Forum. Environ. Ent. 14: 655–661.CrossRefGoogle Scholar
Halstead, D.G.H. 1969. A new species of Tribolium from North America previously confused with Tribolium madens (Charp.) (Coleoptera: Tenebrionidae). J. Stored Prod. Res. 4: 295–304.CrossRefGoogle Scholar
Karandinos, M.G. 1976. Optimum sample size and comments on some published formulae. Bull. ent. Soc. Am. 22: 417–421.Google Scholar
Liscombe, E.A.R., and Watters, F.L.. 1962. Insect and mite infestations in empty granaries in the prairie provinces. Can. Ent. 94: 433–441.CrossRefGoogle Scholar
Loschiavo, S.R. 1975. Field tests of devices to detect insects in different kinds of grain storages. Can. Ent. 107: 385–389.CrossRefGoogle Scholar
Loschiavo, S.R., and Atkinson, J.M.. 1967. A trap for the detection and recovery of insects in stored grain. Can. Ent. 99: 1160–1163.CrossRefGoogle Scholar
Mukerji, M.K., and Harcourt, D.G.. 1970. Spatial pattern of the immature stages of Hylemga brassicae on cabbage. Can. Ent. 102: 1216–1222.Google Scholar
Pielou, E.C. 1969. An introduction to mathematical ecology. Wiley-Interscience, New York. 286 pp.Google Scholar
Ruesink, W.G. 1980. Introduction to sampling theory. pp. 61–78in Kogan, M., and Herzog, D.C. (Eds.), Sampling Methods in Soybean Entomology. Springer Verlag, New York.CrossRefGoogle Scholar
Smallman, B.N. 1943. Insect pests of farm stored grain. Annu. Conf. Manitoba Agronomists. pp. 28–29.Google Scholar
Snedecor, G.W., and Cochran, W.G.. 1974. Statistical methods, sixth ed. Iowa State Univ. Press, Ames, IA. 593 pp.Google Scholar
Southwood, T.R.E. 1975. Ecological methods with particular reference to the study of insect populations. Chapman and Hall, London. 391 pp.Google Scholar
Taylor, L.R. 1961. Aggregation, variance, and the mean. Nature 189: 732–735.Google Scholar
Taylor, L.R. 1984. Assessing and interpreting the spatial distribution of insect populations. Annu. Rev. Ent. 29: 321–357.CrossRefGoogle Scholar
Waters, W.E. 1959. A quantitative measure of aggregation in insects. J. econ. Ent. 52: 1180–1184.CrossRefGoogle Scholar
Watters, F.L., and Cox, G.A.. 1957. A water-trap for detecting insects in stored grain. Can. Ent. 89: 188–192.Google Scholar
Williams, C.B. 1953. The relative abundance of different species in a wild animal population. J. Anim. Ecol. 22: 14–31.CrossRefGoogle Scholar