量化和降低标签的成本:结合计算流体动力学和潜水实验,以减少动物传播标签的影响
J Chris McKnight1, Chris Pass2, Dave Thompson3
1Sea Mammal Research Unit (SMRU), Scottish Oceans Institute, University of St Andrews, St Andrews, Fife KY16 8LB, UK.
Proceedings. Biological sciences
|November 6, 2024
概括
研究人员通过重新设计动物传播标签来减少动物传播标签的阻力. 这改善了动物行为和数据有效性,为更好的野生动物研究工具铺平了道路.
科学领域:
- 海洋生物学 海洋生物学
- 动物行为 动物行为
- 生物制造技术的技术.
背景情况:
- 动物携带的仪器对于生态和生理学研究至关重要.
- 携带标签可以影响动物的行为和能量,影响数据的有效性和福利.
- 从标签中估计阻力负载需要经验或计算流体动力学 (CFD) 方法.
研究的目的:
- 开发和演示一种新的综合实证和CFD方法来量化和最小化标签诱导的拖动.
- 评估不同标签设计对虫海的行为和能量影响.
- 为了创建一个不那么具有影响力的,商业上可用的动物传播的标签.
主要方法:
- 使用了经验和计算流体动力学 (CFD) 方法的组合方法.
- 雇佣的灰海和海洋哺乳动物研究单位 (SMRU) 仪器组GPS/GSM标签 (第1代和第2代).
- 测量行为变化和游泳速度与标签拖拉负载相关.
主要成果:
- 最初的标签 (基因1) 导致灰色海的拖动率增加了16.4%,并且导致了显著的行为变化.
- 一个重新设计的标签 (第2代) 将额外的阻力降低到8.6%.
- 携带第2代标签的海与第1代相比表现出明显不同的行为,游泳速度与CFD预测保持一致.
结论:
- 重新设计的标签 (第2代) 有效地减少了拖动及其对海行为的影响.
- 开发的方法提供了一个框架,用于评估和减少对其他物种的标签影响.
- 改进的标签设计现已商业化,有利于未来的野生动物研究.
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