一种用于长期监测大型鲸鱼潜水行为的卫星标签

IF 2.4 3区 环境科学与生态学 Q2 BIODIVERSITY CONSERVATION
D. Palacios, Ladd M. Irvine, B. Lagerquist, J. Fahlbusch, J. Calambokidis, Stanley M. Tomkiewicz, B. Mate
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引用次数: 3

摘要

尽管大部分时间都花在水下,但通过卫星在大地理范围内追踪鲸鱼的技术在很大程度上仅限于位置数据,大多数应用程序都专注于表征鲸鱼的水平运动。我们描述了RDW标签的开发,这是一种新的基于Argos的卫星遥测设备,它集成了传感器,用于在几个月内监测大型鲸鱼的运动和潜水行为,而无需恢复。该标签基于植入式设计,具有盐水电导率开关、三轴加速度计和可选压力传感器,以及用于数据处理和检测感兴趣的行为事件或活动以进行传输的机载软件。我们配置了该软件来检测潜水情况,并创建每次潜水的摘要,描述与罗夸尔鲸进食活动相关的行为事件。我们使用来自中等持续时间档案标签的现场数据,通过代理对潜水摘要和事件检测算法进行了验证。我们还进行了一项模拟练习,以检查在不同的潜水行为场景下,预期的数据恢复会如何变化,并将这些结果与蓝鲸(Balaenoptera musculus)和座头鲸(Megaptera novaeangliae)RDW标签现场部署的经验值进行了比较。潜水总结算法准确地报告了潜水深度和持续时间,而弓步喂食事件检测算法的准确性取决于所使用的加速度计数据的精度,预测精度为0.74,用于从1/64-G精度数据中正确分类喂食潜水,从1-mG精度数据中准确分类0.95。模拟数据恢复较低,传输调度较稀疏,平均俯冲持续时间较短,成功接收传输的速率较低。经验数据的恢复低于模拟的预期,这表明数据缺口等其他因素的影响。通过测量大型鲸鱼在多个月的运动时间尺度上每次潜水行为的关键方面,RDW标签能够监测整个地理范围内以前无法观察到的行为,将卫星遥测设备的应用扩展到鲸鱼生理、行为、生态和保护的新领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A satellite-linked tag for the long-term monitoring of diving behavior in large whales
Despite spending most time underwater, the technology in use to track whales over large geographic ranges via satellite has been largely limited to locational data, with most applications focusing on characterizing their horizontal movements. We describe the development of the RDW tag, a new Argos-based satellite telemetry device that incorporates sensors for monitoring the movements and dive behavior of large whales over several months without requiring recovery. Based on an implantable design, the tag features a saltwater conductivity switch, a tri-axial accelerometer, and an optional pressure transducer, along with onboard software for data processing and detection of behavioral events or activities of interest for transmission. We configured the software to detect dives and create per-dive summaries describing behavioral events associated with feeding activities in rorqual whales. We conducted a validation by proxy of the dive summary and event detection algorithms using field data from a medium-duration archival tag. We also conducted a simulation exercise to examine how the expected data recovery would vary under different dive behavior scenarios and compared those results to empirical values from field deployments of the RDW tag on blue ( Balaenoptera musculus ) and humpback ( Megaptera novaeangliae ) whales. The dive summary algorithm accurately reported dive depth and duration, while the accuracy of the lunge-feeding event detection algorithm was dependent on the precision of the accelerometer data that was used, with a predicted accuracy of 0.74 for correctly classifying feeding dives from 1/64-G precision data and 0.95 from 1-mG precision data. Simulated data recovery was lower with sparser transmission schedules, shorter mean dive durations, and lower rates of successfully received transmissions. Empirical data recovery was lower than expected from the simulation, suggesting the effect of additional factors, such as data gaps. By measuring key aspects of the per-dive behavior of large whales over multi-month timescales of movement, the RDW tags provide the ability to monitor previously unobservable behaviors across entire geographic ranges, extending the applications of satellite telemetry devices to new areas of whale physiology, behavior, ecology, and conservation.
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来源期刊
Animal Biotelemetry
Animal Biotelemetry Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
4.20
自引率
11.10%
发文量
33
审稿时长
10 weeks
期刊介绍: Animal Biotelemetry is an open access peer-reviewed journal that publishes the results of studies utilizing telemetric techniques (including biologgers) to understand physiological, behavioural, and ecological mechanisms in a broad range of environments (e.g. terrestrial, freshwater and marine) and taxa. The journal also welcomes descriptions and validations of newly developed tagging techniques and tracking technologies, as well as methods for analyzing telemetric data.
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