AEI Aquaculture Environment Interactions Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections AEI 4:81-90 (2013) - DOI: https://doi.org/10.3354/aei00075 Three-dimensional trajectories of cultivated Pacific bluefin tuna Thunnus orientalis in an aquaculture net cage Kazuyoshi Komeyama1,*, Minoru Kadota2,3,*, Shinsuke Torisawa2, Tsutomu Takagi2,** 1Faculty of Fishery, Kagoshima University, 4-50-20 Shimoarata, Kagoshima 890-0056, Japan 2Department of Fisheries, Faculty of Agriculture, Kinki University, 3327-204 Naka-machi, Nara 631-8505, Japan 3Temple University, 4-1-27 Mita, Minato-ku, Tokyo 109-0073, Japan *These authors contributed equally to this work**Corresponding author. Email: tutakagi@nara.kindai.ac.jp ABSTRACT: Swimming trajectories of aquatic animals that are estimated using the dead-reckoning technique below the sea surface tend to have very large associated observational errors. Therefore, the aim of the present study was to develop a technique for removing accumulated errors from such trajectories for Pacific bluefin tuna Thunnus orientalis. Horizontal and vertical speeds and heading angle were measured in an aquaculture net cage using 2 types of data loggers, and current velocity was recorded at a depth of 12 m to measure the tidal current speed around the net cage. Fourier analysis indicated that the primary source of error in trajectory estimates was the effect of ocean currents, which resulted in drift, and further analysis revealed that the frequency contributing to drift was consistent with the low-frequency signal in a spectrum analysis of horizontal speed. Therefore, a high-pass filter was applied to horizontal speed data to remove any frequencies lower than the cut-off frequency (0.0015 Hz), following which these data were back-transformed into a time domain that no longer included the drift effect caused by the current. The reconstructed trajectories fit within the inner diameters of the net cage, indicating that they were realistic. To confirm the validity of the resultant swimming trajectories, a flume tank experiment was conducted, which demonstrated that the high-pass filter effectively removed current drift from the estimated trajectory. Furthermore, since the method was estimated to have a precision of approximately 0.20 m, it not only allows the 3-dimensional trajectories of circling tuna to be estimated but can also be applied to the behavior of fish in the wild. KEY WORDS: Dead reckoning · Behaviour · Submerged net cage Full text in pdf format PreviousCite this article as: Komeyama K, Kadota M, Torisawa S, Takagi T (2013) Three-dimensional trajectories of cultivated Pacific bluefin tuna Thunnus orientalis in an aquaculture net cage. Aquacult Environ Interact 4:81-90. https://doi.org/10.3354/aei00075 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in AEI Vol. 4, No. 1. Online publication date: June 26, 2013 Print ISSN: 1869-215X; Online ISSN: 1869-7534 Copyright © 2013 Inter-Research.
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