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首页> 外文期刊>The Journal of Experimental Biology >How moths escape bats: predicting outcomes of predator-prey interactions
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How moths escape bats: predicting outcomes of predator-prey interactions

机译:飞蛾如何逃脱蝙蝠:预测食肉动物与猎物相互作用的结果

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摘要

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.
机译:是什么决定逃逸的猎物是否从攻击性掠食者中逃脱?为了回答这个问题,生物学家开发了数学模型,该模型结合了攻击几何形状,追击和逃逸轨迹以及捕食者和被捕食者的运动学。这些模型很少使用来自实际捕食者-猎物相遇的数据进行测试。为了解决这个问题,我们在大型室外机房中记录了蝙蝠与昆虫相互作用的多摄像机红外热像仪。我们记录了四只Myotis volans蝙蝠对各种蛾进行的235次攻击。使用3-D重建了来自50次高质量攻击的蝙蝠和飞蛾的飞行轨迹。尽管最大速度,减速度和整体转向能力更高,但蝙蝠仅在184次攻击中的69次(37.5%)中捕获了逃避的猎物。蝙蝠捕获了几乎所有没有逃避攻击的飞蛾(51中的50; 98%)。 Logistic回归表明,猎物的径向加速度和逃逸角度是逃逸成功率的最重要预测指标(正确分类的50次攻击中有44次占88%)。我们发现了转弯赌博数学模型的部分支持。但是,它低估了逃逸阈值25%的猎物速度,并且没有考虑到猎物逃逸角度。尽管大多数逃逸者的逃逸攻击都从掠食者逃走,但飞蛾通常会通过以较高的径向加速度转向掠食者侧翼的“安全区”,逃脱追逐蝙蝠。这种策略可能在追逐中的猎物中很普遍。基于这些发现,我们开发了一种新颖的捕食几何模型。我们讨论了该模型对于捕食者和猎物运动学以及追赶和逃避策略的共同进化的意义。

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