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逐步:通过推测重建陆地动物的运动路径。

Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning.

机构信息

Institut für Terrestrische und Aquatische Wildtierforschung, Stiftung Tierärztliche Hochschule, Hannover, Werfstr. 6, 25761 Büsum, Germany.

Department of Computer Science, College of Science, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales UK.

出版信息

Mov Ecol. 2015 Sep 15;3(1):23. doi: 10.1186/s40462-015-0055-4. eCollection 2015.

Abstract

BACKGROUND

Research on wild animal ecology is increasingly employing GPS telemetry in order to determine animal movement. However, GPS systems record position intermittently, providing no information on latent position or track tortuosity. High frequency GPS have high power requirements, which necessitates large batteries (often effectively precluding their use on small animals) or reduced deployment duration. Dead-reckoning is an alternative approach which has the potential to 'fill in the gaps' between less resolute forms of telemetry without incurring the power costs. However, although this method has been used in aquatic environments, no explicit demonstration of terrestrial dead-reckoning has been presented.

RESULTS

We perform a simple validation experiment to assess the rate of error accumulation in terrestrial dead-reckoning. In addition, examples of successful implementation of dead-reckoning are given using data from the domestic dog Canus lupus, horse Equus ferus, cow Bos taurus and wild badger Meles meles.

CONCLUSIONS

This study documents how terrestrial dead-reckoning can be undertaken, describing derivation of heading from tri-axial accelerometer and tri-axial magnetometer data, correction for hard and soft iron distortions on the magnetometer output, and presenting a novel correction procedure to marry dead-reckoned paths to ground-truthed positions. This study is the first explicit demonstration of terrestrial dead-reckoning, which provides a workable method of deriving the paths of animals on a step-by-step scale. The wider implications of this method for the understanding of animal movement ecology are discussed.

摘要

背景

为了确定动物的运动轨迹,野生动物生态学的研究越来越多地采用 GPS 遥测技术。然而,GPS 系统间歇性地记录位置,无法提供潜在位置或轨迹曲折度的信息。高频 GPS 功率要求高,这需要大容量电池(通常会有效地排除它们在小动物上的使用)或缩短部署时间。推测法是一种替代方法,它有可能在不产生功耗的情况下“填补遥测技术分辨率较低的空白”。然而,尽管这种方法已在水生环境中使用,但尚未对陆地推测法进行明确的演示。

结果

我们进行了一个简单的验证实验,以评估陆地推测法中误差累积的速度。此外,还使用来自家养犬 Canus lupus、马 Equus ferus、牛 Bos taurus 和野生獾 Meles meles 的数据成功实施了推测法的示例。

结论

本研究记录了如何进行陆地推测法,描述了如何从三轴加速度计和三轴磁力计数据中推导出航向,如何校正磁力计输出中的硬磁和软磁失真,以及提出了一种新颖的校正程序,将推测路径与地面实测位置匹配。这项研究首次明确演示了陆地推测法,它提供了一种可行的方法,可以逐步推导动物的路径。讨论了这种方法对理解动物运动生态学的更广泛影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71d4/4572461/4f0db163a079/40462_2015_55_Fig1_HTML.jpg

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