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Automatic Round-the-Clock Detection of Whales for Mitigation from Underwater Noise Impacts

Overview of attention for article published in PLOS ONE, August 2013
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Title
Automatic Round-the-Clock Detection of Whales for Mitigation from Underwater Noise Impacts
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0071217
Pubmed ID
Authors

Daniel P. Zitterbart, Lars Kindermann, Elke Burkhardt, Olaf Boebel

Abstract

Loud hydroacoustic sources, such as naval mid-frequency sonars or airguns for marine geophysical prospecting, have been increasingly criticized for their possible negative effects on marine mammals and were implicated in several whale stranding events. Competent authorities now regularly request the implementation of mitigation measures, including the shut-down of acoustic sources when marine mammals are sighted within a predefined exclusion zone. Commonly, ship-based marine mammal observers (MMOs) are employed to visually monitor this zone. This approach is personnel-intensive and not applicable during night time, even though most hydroacoustic activities run day and night. This study describes and evaluates an automatic, ship-based, thermographic whale detection system that continuously scans the ship's environs for whale blows. Its performance is independent of daylight and exhibits an almost uniform, omnidirectional detection probability within a radius of 5 km. It outperforms alerted observers in terms of number of detected blows and ship-whale encounters. Our results demonstrate that thermal imaging can be used for reliable and continuous marine mammal protection.

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Geographical breakdown

Country Count As %
South Africa 2 1%
United States 2 1%
Argentina 2 1%
Italy 1 <1%
French Guiana 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Unknown 172 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 27%
Student > Ph. D. Student 31 17%
Other 23 13%
Student > Master 22 12%
Student > Bachelor 8 4%
Other 27 15%
Unknown 23 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 80 44%
Environmental Science 41 22%
Engineering 8 4%
Unspecified 7 4%
Physics and Astronomy 5 3%
Other 16 9%
Unknown 26 14%