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Long range forecasts of the numbers of Helicoverpa punctigera and H. armigera (Lepidoptera: Noctuidae) in Australia using the Southern Oscillation Index and the Sea Surface Temperature

Published online by Cambridge University Press:  09 March 2007

D.A. Maelzer  and
M.P. Zalucki
D.A. Maelzer
Affiliation:
School of Land and Food, The University of Queensland, Gatton, Queensland, 4343Australia Department of Zoology and Entomology, The University of Queensland, St Lucia, Queensland, 4072Australia
M.P. Zalucki*
Affiliation:
Department of Zoology and Entomology, The University of Queensland, St Lucia, Queensland, 4072Australia
*
*Fax: (07) 3365 1922 E-mail: [email protected]
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Abstract

The use of long-term forecasts of pest pressure is central to better pest management. We relate the Southern Oscillation Index (SOI) and the Sea Surface Temperature (SST) to long-term light-trap catches of the two key moth pests of Australian agriculture, Helicoverpa punctigera (Wallengren) and H. armigera (Hübner), at Narrabri, New South Wales over 11 years, and for H. punctigera only at Turretfield, South Australia over 22 years. At Narrabri, the size of the first spring generation of both species was significantly correlated with the SOI in certain months, sometimes up to 15 months before the date of trapping. Differences in the SOI and SST between significant months were used to build composite variables in multiple regressions which gave fitted values of the trap catches to less than 25% of the observed values. The regressions suggested that useful forecasts of both species could be made 6–15 months ahead. The influence of the two weather variables on trap catches of H. punctigera at Turretfield were not as strong as at Narrabri, probably because the SOI was not as strongly related to rainfall in southern Australia as it is in eastern Australia. The best fits were again given by multiple regressions with SOI plus SST variables, to within 40% of the observed values. The reliability of both variables as predictors of moth numbers may be limited by the lack of stability in the SOI-rainfall correlation over the historical record. As no other data set is available to test the regressions, they can only be tested by future use. The use of long-term forecasts in pest management is discussed, and preliminary analyses of other long sets of insect numbers suggest that the Southern Oscillation Index may be a useful predictor of insect numbers in other parts of the world.

Type
Research Article
Information
Bulletin of Entomological Research , Volume 90 , Issue 2 , April 2000 , pp. 133 - 146
Copyright
Copyright © Cambridge University Press 2000

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