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Blue whales (Balaenoptera musculus) optimize foraging efficiency by balancing oxygen use and energy gain as a function of prey density

机译:蓝鲸(Balaenoptera musculus)通过平衡氧气消耗和能量获取量(猎物密度的函数)来优化觅食效率

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摘要

Terrestrial predators can modulate the energy used for prey capture to maximize efficiency, but diving animals face the conflicting metabolic demands of energy intake and the minimization of oxygen depletion during a breath hold. It is thought that diving predators optimize their foraging success when oxygen use and energy gain act as competing currencies, but this hypothesis has not been rigorously tested because it has been difficult to measure the quality of prey that is targeted by free-ranging animals. We used high-resolution multisensor digital tags attached to foraging blue whales (Balaenoptera musculus) with concurrent acoustic prey measurements to quantify foraging performance across depth and prey density gradients. We parameterized two competing physiological models to estimate energy gain and expenditure based on foraging decisions. Our analyses show that at low prey densities, blue whale feeding rates and energy intake were low to minimize oxygen use, but at higher prey densities feeding frequency increased to maximize energy intake. Contrary to previous paradigms, we demonstrate that blue whales are not indiscriminate grazers but instead switch foraging strategies in response to variation in prey density and depth to maximize energetic efficiency.
机译:陆地捕食者可以调节捕获猎物的能量,以最大程度地提高捕捞效率,但是潜水动物面临着能量吸收的新陈代谢需求以及屏气时氧气消耗的最小化。人们认为,当氧气消耗和能量获取成为竞争货币时,潜水掠食者会优化其觅食成功,但是这一假设尚未经过严格检验,因为很难衡量自由放养动物所针对的猎物的质量。我们使用附着在觅食蓝鲸(Balaenoptera musculus)上的高分辨率多传感器数字标签,并同时进行声学猎物测量,以量化跨越深度和猎物密度梯度的觅食性能。我们参数化了两个相互竞争的生理模型,以根据觅食决策估算能量获得和消耗。我们的分析表明,在低密度捕食时,蓝鲸的摄食速率和能量摄入较低,以最大程度地减少氧气的使用;而在高密度捕食者捕食频率下,其摄食频率则增加,以最大程度地吸收能量。与以前的范例相反,我们证明了蓝鲸不是滥食动物,而是根据猎物密度和深度的变化而切换觅食策略,以最大化能量效率。

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