Data from: Burst muscle performance predicts the speed, acceleration, and turning performance of Anna's hummingbirds

AbstractDespite recent advances in the study of animal flight, the biomechanical determinants of maneuverability are poorly understood. It is thought that maneuverability may be influenced by intrinsic body mass and wing morphology, and by physiological muscle capacity, but this hypothesis has not yet been evaluated because it requires tracking a large number of free flight maneuvers from known individuals. We used an automated tracking system to record flight sequences from 20 Anna's hummingbirds flying solo and in competition in a large chamber. We found that burst muscle capacity predicted most performance metrics. Hummingbirds with higher burst capacity flew with faster velocities, accelerations, and rotations, and they used more demanding complex turns. In contrast, body mass did not predict variation in maneuvering performance, and wing morphology predicted only the use of arcing turns and high centripetal accelerations. Collectively, our results indicate that burst muscle capacity is a key predictor of maneuverability., Usage notesannasairdatatrial information, wing morphology, body mass, load lifting performance, and flight maneuvering performance of Anna's hummingbirds摘要 尽管近年来动物飞行研究已取得诸多进展，但飞行机动性的生物力学决定机制仍不甚明晰。当前学界认为，机动性或受固有体重、翼形态（wing morphology）以及肌肉生理能力的影响，但该假说尚未得到验证——这是因为需对已知个体的大量自由飞行机动动作进行追踪记录。本研究采用自动化追踪系统，在大型飞行舱内记录了20只安娜蜂鸟（Anna's hummingbirds）单独飞行与竞争飞行的序列数据。研究发现，肌肉爆发能力可预测绝大多数飞行性能指标：爆发能力更强的蜂鸟，其飞行速度、加速度与旋转速率均更高，且会采用复杂度更高的转向动作。与之相对，体重无法解释机动飞行性能的差异，而翼形态仅能预测弧形转向与高向心加速度的使用情况。综上，本研究结果表明，肌肉爆发能力是预测飞行机动性的关键因素。 使用说明：本数据集涵盖安娜蜂鸟的annasairdatatrial相关信息、翼形态、体重、负载提升性能以及飞行机动性能数据