Abstract

Flying birds often form flocks, with social1, navigational2 and anti-predator3 implications. Further, flying in a flock can result in aerodynamic benefits, thus reducing power requirements4, as demonstrated by a reduction in heart rate and wingbeat frequency in pelicans flying in a V-formation5. But how general is an aerodynamic power reduction due to group-flight? V-formation flocks are limited to moderately steady flight in relatively large birds, and may represent a special case. What are the aerodynamic consequences of flying in the more usual ‘cluster’ 6,7 flock? Here, we use data from innovative back-mounted GPS and 6 degree of freedom inertial sensors to show that pigeons 1) maintain powered, banked turns like aircraft, imposing dorsal accelerations of up to 2g, effectively doubling body weight and quadrupling induced power requirements; 2) increase flap frequency with increases in all conventional aerodynamic power requirements; and 3) increase flap frequency when flying near, particularly behind, other birds. Therefore, unlike V-formation pelicans, pigeons do not gain an aerodynamic advantage from flying in a flock; indeed, the increased flap frequency – whether due to direct aerodynamic interactions or requirements for increased stability or control – suggests a considerable energetic cost to flight in a tight cluster flock.

Highlights

  • Flying birds often form flocks, with social[1], navigational[2] and anti-predator[3] implications

  • Global Positioning System (GPS) data were post processed relative to local base station data using Waypoint GrafNav 8.10 (Novatel, Canada)

  • Within-wingbeat motions were recorded with 300 Hz inertial measurement units (IMUs) consisting of 3 axes of accelerometer and 3 axes of gyroscope

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Summary

Introduction

Flying birds often form flocks, with social[1], navigational[2] and anti-predator[3] implications. The quantity and quality of these measurements allow, for the first time, the relationship of flap frequency and body motions with airspeed, induced, climbing and accelerating power, and proximity to other pigeons, to be separated and quantified using multiple polynomial regression.

Results
Conclusion
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