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Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales
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MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 395:21-36 (2009) - DOI: https://doi.org/10.3354/meps08123 Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales Sofie M. Van Parijs1,*, Chris W. Clark2, Renata S. Sousa-Lima2,3, Susan E. Parks4, Shannon Rankin5, Denise Risch1,6, Ilse C. Van Opzeeland7 1Northeast Fisheries Science Center, 166 Water Street, Woods Hole, Massachusetts 02543, USA 2Bioacoustics Research Program, Cornell Lab. of Ornithology, Sapsucker Woods Road, Ithaca, New York 14850, USA 3Instituto Baleia Jubarte, Rua Barão do Rio Branco, 26, Caravelas, BA 45900-000, Brazil 4The Pennsylvania State University, Applied Research Laboratory, PO Box 30, State College, Pennsylvania 16804-0030, USA 5Southwest Fisheries Science Center, 3333 N. Torrey Pines Court, La Jolla, California 92037, USA 6Integrated Statistics, 9 Sumner Road, Woods Hole, Massachusetts 02543, USA 7Alfred Wegener Institute for Polar and Marine Research, Department of Ocean Acoustics, Am Alten Hafen 26, 27568 Bremerhaven, Germany *Email: sofie.vanparijs@noaa.gov ABSTRACT: Defining the appropriate scale over which to conduct a study in the marine environment is critical to achieving appropriate scientific, management, mitigation and conservation objectives. This paper focuses on applications of passive acoustic technologies over a range of spatial and temporal scales. It is divided into sections dealing with archival and real-time passive acoustic sensor applications. Each section assesses the principles behind using the respective technology and provides recent examples of research and management applications for marine mammals and fish. The section on archival sensors highlights the need for continued development of automated acoustic detectors to assess large data sets. Case studies are presented of detectors developed for determining seasonal occurrence and distribution of haddock sounds and humpback whale vocalizations. Also presented are studies of other applications using archival sensors: tracking singing humpback whales in Brazil, using vocalizations to assess the reproductive strategies of Arctic bearded seals and assessing regional variability in call patterns for North Atlantic right whales. The section on real-time passive acoustic sensors focuses on real-time buoys and towed arrays. Case studies presented include a real-time buoy system used for monitoring endangered North Atlantic right whales and a stationary autonomous array providing real-time access to Antarctic acoustic data. The value of using towed arrays for real-time applications is also assessed, and a case study is provided on the use of towed arrays to improve abundance estimates of North Pacific cetaceans and to better understand vocalization behaviors. KEY WORDS: Passive acoustics · Mesoscale · Archival arrays · Real-time buoys · Towed arrays · Localization · Automated detection · Marine mammals · Fish Full text in pdf format PreviousNextCite this article as: Van Parijs SM, Clark CW, Sousa-Lima RS, Parks SE, Rankin S, Risch D, Van Opzeeland IC (2009) Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales. Mar Ecol Prog Ser 395:21-36. https://doi.org/10.3354/meps08123Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 395. Online publication date: December 03, 2009 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2009 Inter-Research.
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Cites
Wiens, J. A. (1989) · Functional Ecology · doi:10.2307/2389612 · Cited by 3,689
A rational subdivision of scales for atmospheric processes
Orlanski, I. (1975) · Bulletin of the American Meteorological Society · Cited by 1,142
Payne, R. S., & McVay, S. (1971) · Science · doi:10.1126/science.173.3997.585 · Cited by 798
An Overview of Fixed Passive Acoustic Observation Methods for Cetaceans
Mellinger, D., Stafford, K., Moore, S., Dziak, R., & Matsumoto, H. (2007) · Oceanography · doi:10.5670/oceanog.2007.03 · Cited by 586
Cultural revolution in whale songs
Noad, M. J., Cato, D. H., Bryden, M. M., Jenner, M. N., & Jenner, K. C. S. (2000) · Nature · doi:10.1038/35046199 · Cited by 467
Techniques for cetaceanhabitat modeling
Redfern, J., Ferguson, M., Becker, E., Hyrenbach, K., Good, C., Barlow, J., Kaschner, K., Baumgartner, M., Forney, K., Ballance, L., et al. (2006) · Marine Ecology Progress Series · doi:10.3354/meps310271 · Cited by 451
North Atlantic Right Whales in Crisis
Kraus, S. D., Brown, M. W., Caswell, H., Clark, C. W., Fujiwara, M., Hamilton, P. K., Kenney, R. D., Knowlton, A. R., Landry, S., Mayo, C. A., et al. (2005) · Science · doi:10.1126/science.1111200 · Cited by 319
Self-citationInteractions between singing Hawaiian humpback whales and conspecifics nearby
Tyack, P. (1981) · Behavioral Ecology and Sociobiology · doi:10.1007/bf00300822 · Cited by 286
Barlow, J., & Taylor, B. L. (2005) · Marine Mammal Science · doi:10.1111/j.1748-7692.2005.tb01242.x · Cited by 245
The song of the humpback whale Megaptera novaeangliae in the West Indies
Winn, H. E., & Winn, L. K. (1978) · Marine Biology · doi:10.1007/bf00395631 · Cited by 242
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Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
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Dynamic ocean management: defining and conceptualizing real-time management of the ocean
Maxwell, S. M., Hazen, E. L., Lewison, R. L., Dunn, D. C., Bailey, H., Bograd, S. J., Briscoe, D. K., Fossette, S., Hobday, A. J., Bennett, M., et al. (2015) · Marine Policy · doi:10.1016/j.marpol.2015.03.014 · Cited by 504
Bailey, H., Brookes, K. L., & Thompson, P. M. (2014) · Aquatic Biosystems · doi:10.1186/2046-9063-10-8 · Cited by 347
Migratory marine species: their status, threats and conservation management needs
Lascelles, B., Notarbartolo Di Sciara, G., Agardy, T., Cuttelod, A., Eckert, S., Glowka, L., Hoyt, E., Llewellyn, F., Louzao, M., Ridoux, V., et al. (2014) · Aquatic Conservation: Marine and Freshwater Ecosystems · doi:10.1002/aqc.2512 · Cited by 221
Metadata
- Authors
- Van Parijs, S., Clark, C., Sousa-Lima, R., Parks, S., Rankin, S., Risch, D., & Van Opzeeland, I.
- Venue
- Marine Ecology Progress Series
- Publisher
- Inter-Research Science Center
- Published
- 2009-12-03
- Volume
- 395
- Pages
- 21-36
- ISSN
- 0171-8630 (ISSN-L)
- 1616-1599
- OpenAlex
- W2043741560
- Cited by
- 366
- References
- 31
- FWCI
- 9.55
- Type
- journal article
- Language
- en
- Open access
- bronze
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