Ocean Science Journal

, Volume 50, Issue 2, pp 327–334 | Cite as

Three-dimensional mapping of red stingray (Dasyatis akajei) movement with reference to bottom topography

  • Takayoshi OtakiEmail author
  • Masahiro Hamana
  • Hideaki Tanoe
  • Nobuyuki Miyazaki
  • Takuro Shibuno
  • Teruhisa Komatsu


Most demersal fishes maintain strong relations with bottom substrates and bottom depths and/or topography during their lives. It is important to know these relations to for understand their lives. In Tokyo Bay, red stingray, Dasyatis akajei, classified as near-threatened species by IUCN, has increased since the 1980s. It is a top predator and engages in ecosystem engineer by mixing the sand bed surface through burring behavior, and greatly influences a coastal ecosystem. It is reported that this species invades in plage and tidal flats and has sometimes injured beachgoers and people gathering clams in Tokyo bay. Thus, it is necessary to know its behavior and habitat use to avoid accidents and to better conserve the biodiversity of ecosystems. However, previous studies have not examined its relationship with the bottom environment. This study aims to describe its behavior in relation to the bottom environment. We sounded three dimensional bottom topography of their habitat off Kaneda Cove in Tokyo Bay with interferometric sidescan sonar system and traced the movement of red stingrays by attaching a data logger system to survey their migration. The results revealed that red stingray repeated vertical movement between the surface and bottom, and used not only sand beds but also rocky beds.

Key words

red stingray movement three-dimensional bottom topography habitat use data logger interferometric sidescan sonar 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Alabsi MN, Tanoue H, Komatsu T, Charef A, Mitani I, Kato M, Horii T, Aoki I, Miyazaki N (2011) Measurement of the swimming behavior of a deep-water fish, the Splendid Alfonsino (Beryx splendens), in captivity using micro data loggers. J Fish Aquat Sci 6(6):309–321Google Scholar
  2. Bograd SJ, Block BA, Csta DP, Godley BJ (2010) Biologging technologies: new tools for conservation. Intoroduction. Endang Species Res 10:1–7CrossRefGoogle Scholar
  3. Cartamil DP, Vaudo JJ, Lowe CG, Wetherbee BM, Holland KN (2003) Diel movement patterns of the Hawaiian stingray, Dasyatis lata: implications for ecological interactions between sympatric elasmobranch species. Mar Biol 142:841–847Google Scholar
  4. IUCN (2013) IUCN Red List of Threatened Species. Version 2013.2. Accessed 4 April 2014Google Scholar
  5. Kamiyama T, Itaoka M, Tokai T, Sakaji H, Aizawa Y (1992) Estimation of suitable environment for nursery ground of juvenile marbled flounder, Pleuronectes yokohamae in coastal water. Bull Nansei Natl Fish 25:11–19Google Scholar
  6. Kawabe R, Naito Y, Sato K, Miyashita K, Yamashita N (2004) Direct measurement of the swimming speed, tailbeat, and body angle of Japanese flounder (Paralichthys olivaceus). ICES J Mar Sci 61:1080–1087CrossRefGoogle Scholar
  7. Kodama K, Oyama M, Lee J, Kume G, Yamaguchi A, Shibata Y, Shiraishi H, Morita M, Shimizu M, Horiguchi T (2010) Drastic and synchronous change in megabenthic community structure concurrent with environmental variation in a eutrophic coastal bay. Prog Oceanogr 87:157–167CrossRefGoogle Scholar
  8. Koganei S, Horikoshi M (1962) Hydrography at the entrance of Tokyo Bay (Co-operative Surevey at the Entrance of Tokyo Bay in 1959-part3). J Oceanogr Soc Japan 20th Aniv Vol:90–97Google Scholar
  9. Komatsu T, Murakami S (1994) Influence of a sargassum forest on the spatial distribution of water flow. Fish Oceanogr 3(3): 256–266CrossRefGoogle Scholar
  10. Komatsu T, Igarashi C, Tatsukawa K, Sultana S, Matsuoka Y, Harada S (2003a) Use of multi-beam sonar to map seagrass beds in Otsuchi Bay, on the Sanriku Coast of Japan. Aquat Living Ressour 16:223–230CrossRefGoogle Scholar
  11. Komatsu T, Tanoue H, Mohammad N, Watariguchi K, Osswald T, Hill D, Miyazaki N (2011) Relation between body tilt angle and tail beat acceleration of a small fish, Parapristipoma trilineatum (Threeline grunt), during mobile and immobile periods. Measured with a Micro Data Logger. In: Ceccaldi HJ, Dekeyser I, Giraut M, Stora G (eds) Global change: mankindmarine environment interactions. Proceedings of the 13th French-Japanese Oceanography Symposium, Springer, Berlin, pp 261–264Google Scholar
  12. Komatsu T, Mikami A, Sultana S, Ishida K, Hiraishi T, Tatsukawa K (2003b) Hydro-acoustic methods as a practical tool for cartography of seagrass beds. Otsuchi Mar Sci 28:72–79Google Scholar
  13. Kongsberg (2014) Geo Acoustics GeoSwath Plus Compact data sheet. AllWeb/AC6BF3E23090192CC125762A004F48A5? Open Document Accessed 20 May 2014Google Scholar
  14. Lepland A, Boe R, Lepland A, Totland O (2009) Monitoring the volume and lateral spread of disposed sediments by acoustic methods, Oslo Harbor, Norway. J Environ Manage 90:3589–3598CrossRefGoogle Scholar
  15. Matern SA, Cech JJJr, Hopkins TE (2000) Diel movements of bat rays, Myliobatis californica, in Tomales Bay, California: evidence for behavioral thermoregulation? Environ Biol Fish 58:173–182CrossRefGoogle Scholar
  16. Meysman JRF, Middelburg JJ, Heip HRC (2006) Bioturbation: a fresh look at Darwin’s last idea. Trends Ecol Evol 21(21):688–695CrossRefGoogle Scholar
  17. Port AL, Sippel T, Montgomery JC (2008) Obserbations of mesoscale movements in the short-tailed stingray, Dasyatis brevicaudata from New Zealand using a novel PSAT tag attachment method. J Exp Mar Biol Ecol 359:110–117CrossRefGoogle Scholar
  18. Sakamoto KQ, Sato K, Ishizuka M, Watanuki Y, Takahashi A, Daunt, F, Wanless S (2009) Can Ethograms Be Automatically Generated Using Body Acceleration Data from Free-Ranging Birds? PLoS ONE 4(4): e5379. doi:  10.1371/journal.pone.0005379 CrossRefGoogle Scholar
  19. Shiomi K, Narazaki T, Sato K, Shimatani K, Arai N, Ponganis PJ, Miyazaki N. (2010) Data-processing artefacts in three-dimensional dive path reconstruction from geomagnetic and acceleration data. Aquat Biol 8:293–304CrossRefGoogle Scholar
  20. Tanaka H, Takagi Y, Naito Y (2001) Swimming speeds and buoyancy compensation of migrating adult chum salmon Oncorhynchus keta revealed by speed/depth/acceleration data logger. J Exp Biol 204: 3895–3904Google Scholar
  21. Taniuchi T, Shimizu M (1993) Dental sexual dimorphisim and food habits in the stingray Dasyatis akajei from Tokyo bay, Japan. Nippon Suisan Gakkaishi 59(59):53–60CrossRefGoogle Scholar
  22. Tanoue H (2014) Application of Advanced Technology to Integrated Coastal Management: assessment of fish habitat use by biologging. Ocean Policy Stud 12:53–83Google Scholar
  23. Tanoue H, Komatsu T, Alabsi N, Mitani I, Watanabe S, Watanabe Y, Hamano A, Miyazaki N (2013) Measurement of diurnal body tilt angle distributions of threeline grunt Parapristipoma trilineatum using micro-acceleration data loggers. J Mar Sci Eng 1:3–9CrossRefGoogle Scholar
  24. Tanoue H, Komatsu T, Tsujino T, Suzuki I, Watanabe M, Goto H, Miyazaki N (2012) Feeding events of Japanese lates Lates japonicus detected by a high-speed video camera and threeaxis micro-acceleration data-logger. Fish Sci 78:533–538CrossRefGoogle Scholar
  25. Valentine FJ, Heck Jr LK, Harper P, Beck M (1994) Effects of bioturbation in controlling turtlegrass (Thalassia testudinum Banks ex Konig) abundance: evidence from field enclosures and observations in the Northern Gulf of Mexico. J Exp Mar Ecol 178:181–192CrossRefGoogle Scholar

Copyright information

© Korea Ocean Research & Development Institute (KORDI) and the Korean Society of Oceanography (KSO) and Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Takayoshi Otaki
    • 1
    Email author
  • Masahiro Hamana
    • 1
  • Hideaki Tanoe
    • 2
    • 3
  • Nobuyuki Miyazaki
    • 1
  • Takuro Shibuno
    • 4
  • Teruhisa Komatsu
    • 1
  1. 1.Atmosphere and Ocean Research InstituteThe University of TokyoChibaJapan
  2. 2.Department of Fishery Science and TechnologyNational Fisheries UniversityYamaguchiJapan
  3. 3.Mediterranean Institute of Oceanography(MIO)Aix-Marseille UniversityMarseille cedex 09France
  4. 4.National Research Institute of AquacultureFisheries Research AgencyKanagawaJapan

Personalised recommendations