Present address: School of Biological Sciences, Monash University, Clayton, Vic, Australia.
Productivity and population density estimates of the dengue vector mosquito Aedes aegypti (Stegomyia aegypti) in Australia
Article first published online: 4 DEC 2012
© 2012 The Royal Entomological Society
Medical and Veterinary Entomology
Volume 27, Issue 3, pages 313–322, September 2013
How to Cite
WILLIAMS, C. R., JOHNSON, P. H., BALL, T. S. and RITCHIE, S. A. (2013), Productivity and population density estimates of the dengue vector mosquito Aedes aegypti (Stegomyia aegypti) in Australia. Medical and Veterinary Entomology, 27: 313–322. doi: 10.1111/j.1365-2915.2012.01051.x
- Issue published online: 13 AUG 2013
- Article first published online: 4 DEC 2012
- Accepted 31 July 2012 4 December 2012
- Aedes aegypti (Stegomyia aegypti);
- pupal survey;
New mosquito control strategies centred on the modifying of populations require knowledge of existing population densities at release sites and an understanding of breeding site ecology. Using a quantitative pupal survey method, we investigated production of the dengue vector Aedes aegypti (L.) (Stegomyia aegypti) (Diptera: Culicidae) in Cairns, Queensland, Australia, and found that garden accoutrements represented the most common container type. Deliberately placed ‘sentinel’ containers were set at seven houses and sampled for pupae over 10 weeks during the wet season. Pupal production was approximately constant; tyres and buckets represented the most productive container types. Sentinel tyres produced the largest female mosquitoes, but were relatively rare in the field survey. We then used field-collected data to make estimates of per premises population density using three different approaches. Estimates of female Ae. aegypti abundance per premises made using the container-inhabiting mosquito simulation (CIMSiM) model [95% confidence interval (CI) 18.5–29.1 females] concorded reasonably well with estimates obtained using a standing crop calculation based on pupal collections (95% CI 8.8–22.5) and using BG-Sentinel traps and a sampling rate correction factor (95% CI 6.2–35.2). By first describing local Ae. aegypti productivity, we were able to compare three separate population density estimates which provided similar results. We anticipate that this will provide researchers and health officials with several tools with which to make estimates of population densities.