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Long-Term GPS Tracking of Ocean Sunfish Mola mola Offers a New Direction in Fish Monitoring

Overview of attention for article published in PLOS ONE, October 2009
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Title
Long-Term GPS Tracking of Ocean Sunfish Mola mola Offers a New Direction in Fish Monitoring
Published in
PLOS ONE, October 2009
DOI 10.1371/journal.pone.0007351
Pubmed ID
Authors

David W. Sims, Nuno Queiroz, Nicolas E. Humphries, Fernando P. Lima, Graeme C. Hays

Abstract

Satellite tracking of large pelagic fish provides insights on free-ranging behaviour, distributions and population structuring. Up to now, such fish have been tracked remotely using two principal methods: direct positioning of transmitters by Argos polar-orbiting satellites, and satellite relay of tag-derived light-level data for post hoc track reconstruction. Error fields associated with positions determined by these methods range from hundreds of metres to hundreds of kilometres. However, low spatial accuracy of tracks masks important details, such as foraging patterns. Here we use a fast-acquisition global positioning system (Fastloc GPS) tag with remote data retrieval to track long-term movements, in near real time and position accuracy of <70 m, of the world's largest bony fish, the ocean sunfish Mola mola. Search-like movements occurred over at least three distinct spatial scales. At fine scales, sunfish spent longer in highly localised areas with faster, straighter excursions between them. These 'stopovers' during long-distance movement appear consistent with finding and exploiting food patches. This demonstrates the feasibility of GPS tagging to provide tracks of unparalleled accuracy for monitoring movements of large pelagic fish, and with nearly four times as many locations obtained by the GPS tag than by a conventional Argos transmitter. The results signal the potential of GPS-tagged pelagic fish that surface regularly to be detectors of resource 'hotspots' in the blue ocean and provides a new capability for understanding large pelagic fish behaviour and habitat use that is relevant to ocean management and species conservation.

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Geographical breakdown

Country Count As %
United Kingdom 4 2%
France 2 <1%
Portugal 2 <1%
Mozambique 1 <1%
Germany 1 <1%
India 1 <1%
Jersey 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 204 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 28%
Student > Ph. D. Student 33 15%
Student > Master 33 15%
Student > Bachelor 28 13%
Other 8 4%
Other 24 11%
Unknown 30 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 122 56%
Environmental Science 34 16%
Earth and Planetary Sciences 7 3%
Engineering 3 1%
Immunology and Microbiology 2 <1%
Other 11 5%
Unknown 39 18%