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dc.contributor.authorJech, J.
dc.contributor.authorRatilal, Purnima
dc.contributor.authorYi, Dong Hoon
dc.contributor.authorGong, Zheng
dc.contributor.authorMakris, Nicholas
dc.date.accessioned2018-05-16T14:37:29Z
dc.date.available2018-05-16T14:37:29Z
dc.date.issued2018-01
dc.date.submitted2017-01
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/1721.1/115394
dc.description.abstractThe migration of extensive social groups towards specific spawning grounds in vast and diverse ocean environments is an integral part of the regular spawning process of many oceanic fish species. Oceanic fish in such migrations typically seek locations with environmental parameters that maximize the probability of successful spawning and egg/larval survival. The 3D spatio-temporal dynamics of these behavioral processes are largely unknown due to technical difficulties in sensing the ocean environment over wide areas. Here, we use ocean acoustic waveguide remote sensing (OAWRS) to instantaneously image immense herring groups over continental-shelf-scale areas at the Georges Bank spawning ground. Via multi-spectral OAWRS measurements, we capture a shift in swimbladder resonance peak correlated with the herring groups' up-slope spawning migration, enabling 3D spatial behavioral dynamics to be instantaneously inferred over thousands of square kilometers. We show that herring groups maintain near-bottom vertical distributions with negative buoyancy throughout the migration. We find a spatial correlation greater than 0.9 between the average herring group depth and corresponding seafloor depth for migratory paths along the bathymetric gradient. This is consistent with herring groups maintaining near-seafloor paths to both search for optimal spawning conditions and reduce the risk of predator attacks during the migration to shallower waters where near-surface predators are more dangerous. This analysis shows that multi-spectral resonance sensing with OAWRS can be used as an effective tool to instantaneously image and continuously monitor the behavioral dynamics of swimbladder-bearing fish group behavior in three spatial dimensions over continental-shelf scales Keywords: multi-spectral resonance sensing; continental-shelf scale 3D imaging; ocean acoustic waveguide remote sensing; OAWRS; ocean acoustics; fish ecology; animal group behavior; oceanic fishen_US
dc.description.sponsorshipUnited States. Office of Naval Researchen_US
dc.publisherMDPI AGen_US
dc.relation.isversionofhttp://dx.doi.org/10.3390/rs10010108en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceMDPIen_US
dc.titleInstantaneous 3D Continental-Shelf Scale Imaging of Oceanic Fish by Multi-Spectral Resonance Sensing Reveals Group Behavior during Spawning Migrationen_US
dc.typeArticleen_US
dc.identifier.citationYi, Dong, Zheng Gong, J. Jech, Purnima Ratilal, and Nicholas Makris. “Instantaneous 3D Continental-Shelf Scale Imaging of Oceanic Fish by Multi-Spectral Resonance Sensing Reveals Group Behavior during Spawning Migration.” Remote Sensing 10, no. 2 (January 14, 2018): 108. © 2018 MDPIen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.mitauthorYi, Dong Hoon
dc.contributor.mitauthorGong, Zheng
dc.contributor.mitauthorMakris, Nicholas
dc.relation.journalRemote Sensingen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-05-04T18:33:50Z
dspace.orderedauthorsYi, Dong; Gong, Zheng; Jech, J.; Ratilal, Purnima; Makris, Nicholasen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0261-4482
dc.identifier.orcidhttps://orcid.org/0000-0003-4369-296X
mit.licensePUBLISHER_CCen_US


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