Login | DPI Staff queries on depositing or searching to era.daf.qld.gov.au

Tracking and modeling the movement of Queensland fruit flies, Bactrocera tryoni, using harmonic radar in papaya fields

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Hurst, A. L., O′Brien, A. L., Miller, N. D., Peachey, A. M. W., Yoder, J. M., De Faveri, S. G., Cheesman, J., Manoukis, N. C. and Siderhurst, M. S. (2024) Tracking and modeling the movement of Queensland fruit flies, Bactrocera tryoni, using harmonic radar in papaya fields. Scientific Reports, 14 (1). p. 17521. ISSN 2045-2322

[img]
Preview
PDF
2MB

Article Link: https://doi.org/10.1038/s41598-024-67372-4

Abstract

Determining movement parameters for pest insects such as tephritid fruit flies is critical to developing models which can be used to increase the effectiveness of surveillance and control strategies. In this study, harmonic radar was used to track wild-caught male Queensland fruit flies (Qflies), Bactrocera tryoni, in papaya fields. Experiment 1 continuously tracked single flies which were prodded to induce movement. Qfly movements from this experiment showed greater mean squared displacement than predicted by both a simple random walk (RW) or a correlated random walk (CRW) model, suggesting that movement parameters derived from the entire data set do not adequately describe the movement of individual Qfly at all spatial scales or for all behavioral states. This conclusion is supported by both fractal and hidden Markov model (HMM) analysis. Lower fractal dimensions (straighter movement paths) were observed at larger spatial scales (> 2.5 m) suggesting that Qflies have qualitatively distinct movement at different scales. Further, a two-state HMM fit the observed movement data better than the CRW or RW models. Experiment 2 identified individual landing locations, twice a day, for groups of released Qflies, demonstrating that flies could be tracked over longer periods of time.

Item Type:Article
Corporate Creators:Department of Agriculture and Fisheries, Queensland
Business groups:Horticulture and Forestry Science
Subjects:Science > Entomology
Plant culture > Fruit and fruit culture
Plant pests and diseases > Economic entomology
Agriculture > By region or country > Australia > Queensland
Technology > Technology (General)
Live Archive:06 Aug 2024 04:41
Last Modified:06 Aug 2024 04:41

Repository Staff Only: item control page

Downloads

Downloads per month over past year

View more statistics