National Institute of Polar Research, Tachikawa, Tokyo 190-8518, Japan
SOKENDAI (The Graduate University for Advanced Studies), Tachikawa, Tokyo 190-8518, Japan.
J Exp Biol. 2019 Feb 18;222(Pt 4):jeb185603. doi: 10.1242/jeb.185603.
Some fishes and sea turtles are distinct from ectotherms by having elevated core body temperatures and metabolic rates. Quantifying the energetics and activity of the regionally endothermic species will help us understand how a fundamental biophysical process (i.e. temperature-dependent metabolism) shapes animal ecology; however, such information is limited owing to difficulties in studying these large, highly active animals. White sharks, , are the largest fish with regional endothermy, and potentially among the most energy-demanding fishes. Here, we deployed multi-sensor loggers on eight white sharks aggregating near colonies of long-nosed fur seals, , off the Neptune Islands, Australia. Simultaneous measurements of depth, swim speed (a proxy for swimming metabolic rate) and body acceleration (indicating when sharks exhibited energy-efficient gliding behaviour) revealed their fine-scale swimming behaviour and allowed us to estimate their energy expenditure. Sharks repeatedly dived (mean swimming depth, 29 m) and swam at the surface between deep dives (maximum depth, 108 m). Modal swim speeds (0.80-1.35 m s) were slower than the estimated speeds that minimize cost of transport (1.3-1.9 m s), a pattern analogous to a 'sit-and-wait' strategy for a perpetually swimming species. All but one shark employed unpowered gliding during descents, rendering deep (>50 m) dives 29% less costly than surface swimming, which may incur additional wave drag. We suggest that these behavioural strategies may help sharks to maximize net energy gains by reducing swimming cost while increasing encounter rates with fast-swimming seals.
一些鱼类和海龟与变温动物不同,它们具有升高的核心体温和代谢率。量化区域内恒温物种的能量学和活动将帮助我们了解基本的生物物理过程(即温度依赖的新陈代谢)如何塑造动物生态学;然而,由于研究这些大型、高度活跃的动物存在困难,此类信息有限。, 是具有区域内恒温的最大鱼类,并且可能是能量需求最高的鱼类之一。在这里,我们在澳大利亚 Neptune 群岛附近长鼻海豹的聚居地附近聚集的八只大白鲨身上部署了多传感器记录仪。深度、游泳速度(游泳代谢率的代理)和身体加速度(表明鲨鱼何时表现出节能滑翔行为)的同时测量揭示了它们的精细游泳行为,并使我们能够估计它们的能量消耗。鲨鱼反复潜水(平均游泳深度 29 米),并在深潜之间在水面上游泳(最大深度 108 米)。模态游泳速度(0.80-1.35 m/s)比估计的最小运输成本速度(1.3-1.9 m/s)慢,这种模式类似于持续游泳物种的“坐以待毙”策略。除了一只鲨鱼外,所有鲨鱼在下降过程中都采用无动力滑翔,使深潜(>50 米)比表面游泳减少 29%的成本,因为表面游泳可能会产生额外的波浪阻力。我们认为,这些行为策略可以帮助鲨鱼通过减少游泳成本和增加与快速游动海豹的相遇率来最大限度地提高净能量收益。