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COMPARISON OF FLIGHT AGGREGATION IN TWO SPECIES OF SOUTHERN IPS (COLEOPTERA: SCOLYTIDAE)1

Published online by Cambridge University Press:  31 May 2012

Richard R. Mason
Richard R. Mason
Affiliation:
Forest Sciences Laboratory, Pacific Northwest Forest and Range Experiment Station, U.S. Department of Agriculture, Corvallis, Oregon
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Abstract

Comparisons were made of frequency distributions of Ips avulsus (Eichh.) and Ips grandicollis (Eichh.) caught in window traps while these species were attacking fresh pine slash. Relationships between mean and variance of trap data indicated that the flight of I. avulsus was more highly aggregated than the flight of I. grandicollis. Three different indices of aggregation were calculated which quantitatively expressed the degree of flight aggregation in each species. Degree of aggregation during attack may be an index of aggressiveness since it determines beetle density which influences attack success on a living host. The relatively high degree of flight aggregation of I. avulsus may partly explain why this species is more frequently a killer of live trees than is I. grandicollis.

Type
Articles
Information
The Canadian Entomologist , Volume 102 , Issue 8 , August 1970 , pp. 1036 - 1041
Copyright
Copyright © Entomological Society of Canada 1970

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References

Anscombe, F. J. 1949. The statistical analysis of insect counts based on the negative binomial distribution. Biometrics 5: 165–173.CrossRefGoogle Scholar
Bliss, C. I. 1953. Fitting the negative binomial distribution to biological data. Biometrics 9: 176–196.CrossRefGoogle Scholar
Chapman, J., and Kinghorn, J.. 1955. Window flight traps for insects. Can. Ent. 87: 46–47.CrossRefGoogle Scholar
Fisher, R. A. 1953. Note on the efficient fitting of the negative binomial. Biometrics 9: 197–200.Google Scholar
Gara, R. I. 1967. Studies on the attack behavior of the southern pine beetle. I. The spreading and collapse of outbreaks. Contrib. Boyce Thompson Inst. 23(10): 349–354.Google Scholar
Gara, R. I., Vité, J. P., and Cramer, H. H.. 1965. Manipulation of Dendroctonus frontalis by use of a population aggregating pheromone. Contrib. Boyce Thompson Inst. Pl. Res. 23 (3): 55–66.Google Scholar
Henson, W. R. 1959. Some effects of secondary dispersive processes on distribution. Am. Nat. 93: 315–320.CrossRefGoogle Scholar
Mason, R. R. 1969. Behavior of Ips populations after summer thinning in a loblolly pine plantation. For. Sci. 15 (4): 390–398.Google Scholar
Morisita, M. 1962. Iδ-index, a measure of dispersion of individuals. Res. Popul. Ecol. 4: 1–7.CrossRefGoogle Scholar
Morisita, M. 1964. Application of Iδ-index to sampling techniques. Res. Popul. Ecol. 6: 43–53.CrossRefGoogle Scholar
Morris, R. F. 1960. Sampling insect populations. A. Rev. Ent. 5: 243–264.CrossRefGoogle Scholar
Rudinsky, J. A. 1962. Ecology of Scolytidae. A. Rev. Ent. 7: 327–348.Google Scholar
Rudinsky, J. A., and Daterman, G. E.. 1964. Field studies on flight patterns and olfactory responses of ambrosia beetles in Douglas-fir forests of western Oregon. Can. Ent. 96: 1339–1352.Google Scholar
Southwood, T. R. E. 1966. Ecological methods; with particular reference to the study of insect populations. Methuen, London. 391 pp.Google Scholar
Taylor, L. R. 1961. Aggregation, variance and the mean. Nature 189 (4766): 732–735.CrossRefGoogle Scholar
Thatcher, R. C. 1960. Bark beetles affecting southern pines: a review of current knowledge. South. For. Exp. Sta. Occas. Pap. 180. 25 pp.Google Scholar
U.S.D.A. Forest Service. 1968. Ips engraver beetles, Ips spp. South. For. Pest Rep. 1: 5–6. State & Private Forestry, Southeastern Area, Atlanta, Ga.Google Scholar
Vité, J. P., Gara, R. I., and von Scheller, H. D.. 1964. Field observations on the response to attractants of bark beetles infesting southern pines. Contrib. Boyce Thompson Inst. Pl. Res. 22 (8): 461–470.Google Scholar
Waters, W. E. 1959. A quantitative measure of aggregation in insects. J. econ. Ent. 52: 1180–1184.Google Scholar
Waters, W. E., and Henson, W. R.. 1959. Some sampling attributes of the negative binomial distribution with special reference to forest insects. For. Sci. 5: 397–412.Google Scholar