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A New Open Access Journal of Marine Science and Engineering
J. Mar. Sci. Eng. 2013, 1(1), 3-9; doi:10.3390/jmse1010003
Article

Measurement of Diurnal Body Tilt Angle Distributions of Threeline Grunt Parapristipoma trilineatum Using Micro-Acceleration Data Loggers

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Received: 29 May 2013 / Revised: 28 June 2013 / Accepted: 4 July 2013 / Published: 15 July 2013
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Abstract

The body tilt angle of a fish has a large effect on the acoustic target strength. For an accurate estimation of fish abundance using acoustic methods, it is necessary to measure body tilt angles in free-ranging fish. We measured diurnal body tilt angle distributions of threeline grunt (Parapristipoma trilineatum) while swimming in schools in a fish cage. Micro-acceleration data loggers were used to record (for 3 days) swaying and surging accelerations (at 16 Hz intervals) of 10 individuals among 20 forming a school in a fish cage. Time series analysis of 1-h mean body tilt angles revealed significant differences in body tilt angles between day (−7.9 ± 3.28°) and night (0.8 ± 5.89°), which must be taken into account when conducting acoustic surveys. These results will be useful for calculating the average dorsal aspect target strength (TS) of threeline grunt for accurate estimations of fish abundance.
Keywords: body tilt angle; data loggers; bio-logging; fish behaviour; fisheries acoustics; fish abundance; target strength; threeline grunt; Parapristipoma trilineatum body tilt angle; data loggers; bio-logging; fish behaviour; fisheries acoustics; fish abundance; target strength; threeline grunt; Parapristipoma trilineatum
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Tanoue, H.; Komatsu, T.; Natheer, A.; Mitani, I.; Watanabe, S.; Watanabe, Y.; Hamano, A.; Miyazaki, N. Measurement of Diurnal Body Tilt Angle Distributions of Threeline Grunt Parapristipoma trilineatum Using Micro-Acceleration Data Loggers. J. Mar. Sci. Eng. 2013, 1, 3-9.

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