Corcoran Aaron J, Conner William E
Wake Forest University, Department of Biology, Winston-Salem, NC 27106, USA
Wake Forest University, Department of Biology, Winston-Salem, NC 27106, USA.
J Exp Biol. 2016 Sep 1;219(Pt 17):2704-15. doi: 10.1242/jeb.137638. Epub 2016 Jun 23.
What determines whether fleeing prey escape from attacking predators? To answer this question, biologists have developed mathematical models that incorporate attack geometries, pursuit and escape trajectories, and kinematics of predator and prey. These models have rarely been tested using data from actual predator-prey encounters. To address this problem, we recorded multi-camera infrared videography of bat-insect interactions in a large outdoor enclosure. We documented 235 attacks by four Myotis volans bats on a variety of moths. Bat and moth flight trajectories from 50 high-quality attacks were reconstructed in 3-D. Despite having higher maximum velocity, deceleration and overall turning ability, bats only captured evasive prey in 69 of 184 attacks (37.5%); bats captured nearly all moths not evading attack (50 of 51; 98%). Logistic regression indicated that prey radial acceleration and escape angle were the most important predictors of escape success (44 of 50 attacks correctly classified; 88%). We found partial support for the turning gambit mathematical model; however, it underestimated the escape threshold by 25% of prey velocity and did not account for prey escape angle. Whereas most prey escaping strikes flee away from predators, moths typically escaped chasing bats by turning with high radial acceleration toward 'safety zones' that flank the predator. This strategy may be widespread in prey engaged in chases. Based on these findings, we developed a novel geometrical model of predation. We discuss implications of this model for the co-evolution of predator and prey kinematics and pursuit and escape strategies.
是什么决定了逃窜的猎物能否从攻击的捕食者口中逃脱?为了回答这个问题,生物学家们开发了数学模型,这些模型纳入了攻击几何形状、追捕和逃逸轨迹以及捕食者和猎物的运动学。这些模型很少使用来自实际捕食者与猎物相遇的数据进行测试。为了解决这个问题,我们在一个大型户外围栏中记录了蝙蝠与昆虫相互作用的多摄像头红外视频。我们记录了4只弗氏鼠耳蝠对各种飞蛾的235次攻击。从50次高质量攻击中重建了蝙蝠和飞蛾的三维飞行轨迹。尽管蝙蝠具有更高的最大速度、减速和整体转向能力,但在184次攻击中,蝙蝠只捕获了69次逃避的猎物(37.5%);蝙蝠几乎捕获了所有未逃避攻击的飞蛾(51次中的50次;98%)。逻辑回归表明,猎物的径向加速度和逃逸角度是逃逸成功的最重要预测因素(50次攻击中有44次分类正确;88%)。我们发现对“转向策略”数学模型有部分支持;然而,它将逃逸阈值低估了猎物速度的25%,并且没有考虑猎物的逃逸角度。大多数逃避攻击的猎物会逃离捕食者,而飞蛾通常通过向捕食者两侧的“安全区”高速转向来逃避追逐的蝙蝠。这种策略可能在参与追逐的猎物中广泛存在。基于这些发现,我们开发了一种新的捕食几何模型。我们讨论了该模型对捕食者和猎物运动学以及追捕和逃逸策略共同进化的影响。