Abstract
AbstractTracking and understanding the movements of animals in the wild is a fast-growing area of research, known asmovement ecology. However, tracking small animals such as flying insects, which cannot easily carry an electronic tag, remains challenging as existing field methods are costly either in terms of equipment or tracking effort (e.g. VHF radio-tracking, scanning harmonic radar). Here we attempted to record the movements of free-flying butterflies from an unmanned aerial vehicle (UAV), maintaining a static position in the sky and recording video vertically downwards. With an appropriate flight height and image filtering algorithm, we recorded 166 flight tracks ofPierisbutterflies (P. brassicaeandP. rapae), with a median tracking length of 40 m (median flight duration 13 s), and a high temporal resolution of 30 positions per second. Average flight direction varied significantly over the course of the flying season, from a northern azimuth in June and early July, to a southern azimuth in September, a trans-generational migratory behaviour that had previously been documented by field observations or experiments in flight cages. In addition, UAV imagery unlocks the possibility to measure high-resolution flight movement patterns (e.g. path tortuosity and transverse oscillations), which will possibly help understand perceptual and locomotor mechanisms underlying spatial behaviour. We explore the technical details associated with UAV tracking methodology, and discuss its limitations, in particular the biases associated with a 2D projection of 3D flight movements, and the difficulty to distinguish between visually similar species, such asP. brassicaeandP. rapae.
Publisher
Cold Spring Harbor Laboratory
Cited by
1 articles.
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