Clemente C J, Wilson R S
*School of Science and Engineering, University of the Sunshine Coast, Sippy Downs, 4556, QLD, Australia;
School of Biological Sciences, The University of Queensland, St Lucia, Brisbane, 4102, QLD, Australia.
Integr Comp Biol. 2015 Dec;55(6):1142-54. doi: 10.1093/icb/icv103. Epub 2015 Sep 2.
The ability for prey to escape a pursuing predator is dependent both on the prey's speed away from the threat and on their ability to rapidly change directions, or maneuverability. Given that the biomechanical trade-off between speed and maneuverability limits the simultaneous maximization of both performance traits, animals should not select their fastest possible speeds when running away from a pursuing predator but rather a speed that maximizes the probability of successful escape. We explored how variation in the relationship between speed and maneuverability-or the shape of the trade-off-affects the optimal choice of speed for escaping predators. We used tablet-based games that simulated interactions between predators and prey (human subjects acting as predators attempting to capture "prey" moving across a screen). By defining a specific relationship between speed and maneuverability, we could test the survival of each of the possible behavioral choices available to this phenotype, i.e., the best combination of speed and maneuverability for prey fitness, based on their ability to escape. We found that the shape of the trade-off function affected the prey's optimal speed for success in escaping, the prey's maximum performance in escaping, and the breadth of speeds over which the prey's performance was high. The optimal speed for escape varied only when the trade-off between speed and maneuverability was non-linear. Phenotypes possessing trade-off functions for which maneuverability was only compromised at high speeds exhibited lower optimal speeds. Phenotypes that exhibited greater increases in maneuverability for any decrease in speed were more likely to have broader ranges of performance, meaning that individuals could attain their maximum performance across a broader range of speeds. We also found that there was a differential response of the subject's learning to these different components of locomotion. With increased experience through repeated trials, subjects were able to successfully catch faster and faster dots. However, no improvement was observed in the subject's ability to capture more maneuverable prey. Our work highlights the costs of high-speed movement on other traits, including maneuverability, which make the use of an animal's fastest speeds unlikely, even when attempting to escape predators. By investigating the shape of the trade-off functions between speed and maneuverability and the way the environment and morphology mediates this trade-off, we can begin to understand why animals choose to move at the speeds they do when they are running away from predators or attempting to capture prey.
猎物逃离追捕者的能力既取决于猎物远离威胁的速度,也取决于它们快速改变方向的能力,即机动性。鉴于速度和机动性之间的生物力学权衡限制了这两种性能特征的同时最大化,动物在逃离追捕者时不应选择其最快速度,而应选择能使成功逃脱概率最大化的速度。我们探讨了速度与机动性之间关系的变化——即权衡的形式——如何影响逃离捕食者的最佳速度选择。我们使用了基于平板电脑的游戏,模拟捕食者与猎物之间的互动(人类受试者充当捕食者,试图捕捉在屏幕上移动的“猎物”)。通过定义速度与机动性之间的特定关系,我们可以测试这种表型可用的每种可能行为选择的生存能力,即基于猎物逃脱能力的速度与机动性的最佳组合,以实现猎物的适应性。我们发现,权衡函数的形式影响了猎物成功逃脱的最佳速度、猎物逃脱的最大性能以及猎物高性能表现的速度范围。只有当速度与机动性之间的权衡是非线性时,逃脱的最佳速度才会变化。具有仅在高速时机动性才会受损的权衡函数的表型,其最佳速度较低。对于速度的任何降低,机动性增加幅度更大的表型更有可能具有更广泛的性能范围,这意味着个体可以在更广泛的速度范围内达到其最大性能。我们还发现,受试者对这些不同运动成分的学习存在差异反应。随着通过重复试验获得的经验增加,受试者能够成功捕捉越来越快的点。然而,在受试者捕捉机动性更强的猎物的能力方面未观察到改善。我们的研究强调了高速运动对包括机动性在内的其他特征的代价,这使得即使在试图逃脱捕食者时,动物也不太可能使用其最快速度。通过研究速度与机动性之间权衡函数的形式以及环境和形态调节这种权衡的方式,我们可以开始理解为什么动物在逃离捕食者或试图捕捉猎物时选择以它们所采用的速度移动。