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Field swimming performance of bluegill sunfish Lepomis macrochirus: implications for field activity cost estimates and laboratory measures of swimming performance

机译:蓝blue翻车鱼Lepomis macrochirus的野外游泳性能:对野外活动成本估算和游泳性能实验室测量的影响

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摘要

Mobility is essential to the fitness of many animals, and the costs of locomotion can dominate daily energy budgets. Locomotor costs are determined by the physiological demands of sustaining mechanical performance, yet performance is poorly understood for most animals in the field, particularly aquatic organisms. We have used 3‐D underwater videography to quantify the swimming trajectories and propulsive modes of bluegills sunfish (Lepomis macrochirus, Rafinesque) in the field with high spatial (1–3 mm per pixel) and temporal (60 Hz frame rate) resolution. Although field swimming trajectories were variable and nonlinear in comparison to quasi steady‐state swimming in recirculating flumes, they were much less unsteady than the volitional swimming behaviors that underlie existing predictive models of field swimming cost. Performance analyses suggested that speed and path curvature data could be used to derive reasonable estimates of locomotor cost that fit within measured capacities for sustainable activity. The distinct differences between field swimming behavior and performance measures obtained under steady‐state laboratory conditions suggest that field observations are essential for informing approaches to quantifying locomotor performance in the laboratory.
机译:机动性对于许多动物的健康至关重要,而运动的成本可能占日常能量预算的支配地位。运动成本是由维持机械性能的生理需求决定的,但是对于该领域的大多数动物,特别是水生生物,其性能了解得很少。我们使用3D水下摄影来量化在空间(每像素1至3毫米)和时间(帧频60赫兹)分辨率较高的田blue中的sun鱼(Lepomis macrochirus,Rafinesque)的游泳轨迹和推进方式。尽管与循环水道中的准稳态游泳相比,野外游泳的轨迹是可变的且是非线性的,但它们远比构成现有野外游泳成本预测模型的自愿性游泳行为要稳定得多。性能分析表明,速度和路径曲率数据可用于得出合理的运动成本估算,以适合可持续活动的测量能力。田间游泳行为与在稳态实验室条件下获得的性能指标之间的显着差异表明,实地观察对于指导量化实验室运动能力的方法至关重要。

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