4.4 Article

Satellite tracking the world's largest jelly predator, the ocean sunfish, Mola mola, in the Western Pacific

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ELSEVIER
DOI: 10.1016/j.jembe.2010.06.023

关键词

Deep scattering layer; Diel vertical movements; Gelatinous zooplankton; Kuroshio Current; Oyashio Current; Satellite telemetry

资金

  1. Tagging of Pacific Pelagics Project (TOPP)
  2. Arcadia Wildlife Preserve
  3. S. Drogen
  4. National Geographic Society's Committee for Research and Exploration [7369-02]
  5. Lindbergh Foundation
  6. Smithsonian Visiting Researcher Fellowship

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Twelve ocean sunfish, Mob a mola, were tagged with pop-up satellite archival tags off the coast of Kamogawa, Japan during the spring of 2001 and 2003-2006. Transmitted data were obtained from seven tags. An eighth tag was recovered and provided a highly detailed four-month dataset from which several recognizable diving patterns emerged. This M. mola spent considerable time at the surface, possibly warming itself. These apparent basking events were punctuated by regular deep dives below the thermocline to depths as great as 600 m and temperatures as low as 2 degrees C. The vast majority of dives occurred during the day, with relatively little vertical movement at night. Geolocation estimates were possible between tag and release for five individuals. No large, basin-scale movements were apparent with most molas remaining relatively close to their initial tagging location over a six to nine month period. Seasonal movements were apparent for some molas and corresponded to regional shifts in oceanography. Northward movements from the Kuroshio Current into the Kuroshio-Oyashio transition zone and the Oyashio Current during the summer months coincided with an increase in temperature and reduction in chlorophyll a concentrations in waters near central Japan. In the fall, most molas returned inshore to the coast of Japan. Molas are targeted and incidentally captured by fishermen in these waters, and the information presented here is vital for effective fisheries management and to forecast changes in mola behaviors associated with environmental variability. Published by Elsevier B.V.

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