Affiliation:
1. Department of Mechanical Engineering, University of Alberta 1 , Edmonton, Alberta T6G 1H9, Canada
2. Department of Biological Sciences, University of Alberta 2 , Edmonton, Alberta T6G 2E9, Canada
Abstract
The Mountain Pine Beetle, Dendroctonus ponderosae Hopkins (Coleoptera: Curculionidae: Scolytinae), a destructive pest found in the pine forests of Western North America, has exhibited range expansion and unprecedented population growth due to climate change. As this insect disperses by flight, understanding its flight mechanics may help to model and predict its rate of spread through the environment. In this work, aerodynamic scaling relationships—previously identified in idealized, predominantly two-dimensional and numerical cases—are applied to the case of live flight. In particular, this aims to improve the statistical confidence in predicting sex and age differences in flight performance, which have historically been analyzed in ecology using dimensional quantities. Thrust coefficient is found to scale with the square of Strouhal number, as has been found in prior studies. However, with respect to Reynolds number, scaling was with the inverse of Reynolds number, rather than the inverse of the square root. We demonstrate here that the established Strouhal number and Reynolds number scaling of force coefficient can be successfully extended not just to highly three-dimensional flows, and lower Reynolds number flows, but remains robust even across distinct individuals within a population of beetles. Using this scaling, we observe that males fly with a greater mean thrust coefficient and Strouhal number compared to females (p < 0.001), which is a significant improvement in statistical confidence over prior studies, which could not identify a major difference between sexes (p > 0.05). Meanwhile, there is also a significant difference in thrust coefficient between different age cohorts, with younger beetles exhibiting a lower magnitude than other age groups (p < 0.05).
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Cited by
2 articles.
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