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南极洲海景湾的水下声景,以及南极海狗水下发声的三重上升颤音。

Underwater soundscape in Seaview Bay, Antarctica, and triple ascending trill of the leopard seal () underwater vocalizations.

作者信息

Han Dong-Gyun, Choi Jee Woong, Kim Jong-U, Kim Jeong-Hoon, La Hyoung Sul

机构信息

Research Center for Ocean Security Engineering and Technology Hanyang University ERICA Ansan Republic of Korea.

Division of Ocean & Atmosphere Sciences Korea Polar Research Institute Incheon Republic of Korea.

出版信息

Ecol Evol. 2024 Jul 25;14(7):e70038. doi: 10.1002/ece3.70038. eCollection 2024 Jul.

DOI:10.1002/ece3.70038
PMID:39071795
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11272605/
Abstract

The underwater soundscape was recorded in Seaview Bay off Inexpressible Island, Ross Sea region Marine protected area, for 3 days in December 2021. Leopard seal vocalizations were a prominent sound source that led to variations in ambient sound pressure levels in a frequency range of approximately 150-4500 Hz. Among the 14 call types previously identified, except ultrasound vocalizations, six types of broadcast calls were classified, and their acoustic characteristics were analyzed. We focused on the acoustic characteristics of four low-frequency calls, clustered in a relatively narrow bandwidth, which have been relatively less studied. We identified a new call type of a triple ascending trill consisting of three trill parts, expanding upon the findings of previous studies. The audio data extracted from leopard seal vocalization videos, recorded by a monitoring camera on sea ice, enhanced the reliability of identifications of the underwater triple ascending trill. We present the unique results of underwater passive acoustic monitoring conducted at Seaview Bay, designated as Antarctic Specially Protected Area No 178. Our results could contribute to the development of detection and localization algorithms for leopard seal vocalizations and can be used as fundamental data for studies related to the vocalization and behavior of this species.

摘要

2021年12月,在罗斯海区域海洋保护区难以言表岛附近的海景湾记录了3天的水下声景。豹海豹的发声是一个突出的声源,导致了大约150 - 4500赫兹频率范围内环境声压级的变化。在之前确定的14种叫声类型中,除了超声发声外,对6种广播叫声进行了分类,并分析了它们的声学特征。我们重点研究了集中在相对较窄带宽内的4种低频叫声的声学特征,这些叫声此前研究相对较少。我们发现了一种由三个颤音部分组成的新的三声上升颤音叫声类型,扩展了先前研究的结果。从海冰上的监控摄像机记录的豹海豹发声视频中提取的音频数据,提高了水下三声上升颤音识别的可靠性。我们展示了在被指定为南极特别保护区第178号的海景湾进行的水下被动声学监测的独特结果。我们的结果有助于豹海豹发声检测和定位算法的开发,并可作为该物种发声和行为相关研究的基础数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/d4239f7a15cc/ECE3-14-e70038-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/460912d34dd2/ECE3-14-e70038-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/400a65e09d5c/ECE3-14-e70038-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/0df0e419bb12/ECE3-14-e70038-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/c6a9fa0542e8/ECE3-14-e70038-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/3b87ddb84ec1/ECE3-14-e70038-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/d26f02cc20e9/ECE3-14-e70038-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/d4239f7a15cc/ECE3-14-e70038-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/460912d34dd2/ECE3-14-e70038-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/400a65e09d5c/ECE3-14-e70038-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/0df0e419bb12/ECE3-14-e70038-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/c6a9fa0542e8/ECE3-14-e70038-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/3b87ddb84ec1/ECE3-14-e70038-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/d26f02cc20e9/ECE3-14-e70038-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35b8/11272605/d4239f7a15cc/ECE3-14-e70038-g006.jpg

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本文引用的文献

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An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors.用于开发南极须鲸声音自动探测器的开放获取数据集以及两种常用探测器的性能评估。
Sci Rep. 2021 Jan 12;11(1):806. doi: 10.1038/s41598-020-78995-8.
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Deep neural networks for automated detection of marine mammal species.用于自动检测海洋哺乳动物物种的深度神经网络。
Sci Rep. 2020 Jan 17;10(1):607. doi: 10.1038/s41598-020-57549-y.
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Microplastics in marine mammals stranded around the British coast: ubiquitous but transitory?
英吉利海峡沿岸搁浅的海洋哺乳动物中的微塑料:普遍存在但短暂?
Sci Rep. 2019 Jan 31;9(1):1075. doi: 10.1038/s41598-018-37428-3.
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Calling underwater is a costly signal: size-related differences in the call rates of Antarctic leopard seals.水下鸣叫是一种代价高昂的信号:南极豹海豹鸣叫率与体型相关的差异
Curr Zool. 2017 Aug;63(4):433-443. doi: 10.1093/cz/zox028. Epub 2017 May 15.
5
Source levels of the underwater calls of a male leopard seal.雄性豹海豹水下叫声的源级
J Acoust Soc Am. 2014 Oct;136(4):1495-8. doi: 10.1121/1.4895685.
6
Classification of large acoustic datasets using machine learning and crowdsourcing: application to whale calls.利用机器学习和众包对大型声学数据集进行分类:在鲸鱼叫声中的应用。
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Spectral probability density as a tool for ambient noise analysis.谱概率密度作为环境噪声分析的一种工具。
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Automatic detection of marine mammals using information entropy.利用信息熵自动检测海洋哺乳动物。
J Acoust Soc Am. 2008 Nov;124(5):2833-40. doi: 10.1121/1.2982368.
9
Age-related differences in the acoustic characteristics of male leopard seals, Hydrurga leptonyx.雄性南极海狗(Hydrurga leptonyx)声学特征的年龄相关差异。
J Acoust Soc Am. 2007 Jul;122(1):596-605. doi: 10.1121/1.2736976.