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Mapping delphinid occurrence using a passive acoustic monitoring system towed by an unmanned surface vehicle on the Southeast Coast of Brazil

机译:使用无人地面车辆拖曳的无源水声监测系统绘制巴西东南沿海的飞燕草发生图

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The use of autonomous passive acoustics is an efficient technique to monitor vocally active marine animals such as dolphins. Coupling autonomous acoustic recorders with unmanned vehicles allows data sampling through varying time scales and an increase in the sample area in relation to fixed recorders. In the present study, an autonomous acoustic recorder was towed by an unmanned surface vehicle, type Wave Glider, in the offshore waters of the Southeast Coast of Brazil through a period of ten days, sampling continuously along a distance of 377 km. Three sound detectors were used to scan all recordings in search of whistles, burst-pulsed sounds and echolocation clicks produced by delphinids. Consecutive detections within an interval shorter than one hour between them were considered as belonging to a detection event, meaning an encounter with a group of delphinids. Intervals larger than one hour between detections were considered a separate event. Detection events were quantified and mapped to obtain the spatial distribution of encounters in the sampling area. There were 99,849 positive detections in all of the sampled days, distributed through 14 detection events. Of all detections, 100,212 were echolocation clicks, 1,029 were whistles, and 202 were burst-pulsed sounds. There was no clear time pattern distribution, but the majority of detections occurred during night hours. Mean local depth of delphinid encounters was of 960 m. The abundance of detections through the entire sampling period indicates that the area around the shelf break is an important area for delphinid occurrence. Furthermore, it was evidenced that autonomous recorders coupled to glider technology can adequately register delphinid presence.
机译:自主无源声学的使用是监视有声海洋动物(例如海豚)的有效技术。将自动录音机与无人驾驶汽车相结合,可以通过变化的时标进行数据采样,并且相对于固定录音机可以增加采样面积。在本研究中,一台自动声波记录器被一种类型为Wave Glider的无人水面拖缆拖曳到巴西东南沿海近海中,历时10天,沿377 km的距离连续采样。使用三个声音检测器扫描所有录音,以搜寻哨声,飞来飞鸟的声音和飞燕草产生的回声定位咔嗒声。两次检测之间的间隔时间少于一小时的连续检测被认为属于检测事件,这意味着遇到一组飞燕草。两次检测之间的间隔大于一小时被认为是一个单独的事件。对检测事件进行量化和映射以获得采样区域中相遇的空间分布。在所有采样日中,共进行了99,849次阳性检测,分布于14个检测事件中。在所有检测中,回声定位咔嗒声为100,212,口哨声为1,029,脉冲声为202。没有明确的时间模式分布,但是大多数检测是在夜间进行的。飞燕ph的平均局部深度为960 m。在整个采样期间的大量检测结果表明,架子断裂周围的区域是飞燕草发生的重要区域。此外,有证据表明,结合滑翔机技术的自主记录器可以充分记录飞燕草的存在。

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