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Locating oceanic Tuna resources in the Eastern Arabian sea using remote sensing

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Abstract

Tuna fishery resources are currently under exploited. The resource potential of tunas in the Indian Exclusive Economic Zone (EEZ) beyond 50 m depths is around 2.09 lakh tonnes as estimated by Fishery Survey of India. The distribution and availability of the tuna are governed by environmental factors like temperature, thermocline depth, availability of prey, visibility etc. Remote sensing provides synoptic information on productivity in terms of chlorophyll and Sea Surface Temperature (SST). In the present paper, satellite remote sensing data from Indian Remote Sensing Satellite IRS- P4 Ocean Colour Monitor (OCM) sensor for chlorophyll-a and diffuse attenuation coefficient (K) and National Oceanic and Atmospheric Administration (NOAA) - Advanced Very High Resolution Radiometer (AVHRR) sensor data for sea surface temperature were analysed and correlated within situ catch data of oceanic tunas, Skipjack(Katsuwonus pelamis) and Yellowfin tuna(Thunnus albacares), off Maharashtra coast. Higher catches were found to be associated with moderate to good primary productivity and in the vicinity of thermal fronts. Relationship between Hooking rate and SST has shown that SST of 28–30°C range is optimum for skipjack and 28–31°C for yellowfin tuna. Besides satellite derived chlorophyll and SST for identification of potential tuna fishing zones, role of diffuse attenuation coefficient (K) for visibility factor is also discussed.

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References

  • Beena Kumari, Raman, M., Narain, A. and Sivaprakasam, T.E. (1993). Location of tuna resources in Indian waters using NOAA AVHRR data.Int. J. Remote Sensing,14(17): 3305–3309.

    Article  Google Scholar 

  • Brill, RW. (1996). Selective advantages conferred by the high performance physiology of tunas, billfishes and dolphin fish.Comp. Biochem. Physiol,113A(1): 3- 15.

    Article  Google Scholar 

  • Laevastu, T. and Rosa, H. (1963). Distribution and relative abundance of tunas in relation to their environment.FAO Fisheries Report, 6: 1835–1851.

    Google Scholar 

  • McClain, E.P., Pichel, W.G and Watson, C.C. (1985). Comparative performance of AVHRR based multichannel sea surface temperatures.J. Geophysical Res, 90(C60): 11578–11601.

    Google Scholar 

  • Muller, J.L. and Trees, C.C. (1994). Revised SeaWiFS pre-launch algorithm for the diffuse attenuation coefficient K (490): In Case studies for SeaWiFS calibration and Validation, Part 4, NASA Technical memorandum,28: 104566.

    Google Scholar 

  • O’Reilly, J.E., Maritonena, S., Mitchell, B.G., Siegal, D.A., Carder, K.L., Graver, S.A., Kahru, M. and McClain, C.R. (1998). Ocean color chlorophyll algorithms for SeaWiFS.J. ofGeophys.,103: 24937- 24963.

    Google Scholar 

  • Ramos, A., Sangra, P., Hernandez-Guerra, A. and Canton, M. (1991). Large and small scale relationships between Skipjack tuna(Katsuwonus pelamis) and oceanographie features observed from satellite imagery of the canary island area. ICES 79th statutory meeting, ICES, Copenhagen, Denmark.

    Google Scholar 

  • Ramos, A.G., Santiago, J., Sangra, P. and Canton, M. (1996). An application of satellite derived sea surface temperature data to the skipjack(Katsuwonus pelamis) and albacore tuna(Thunnus alalunga) fisheries in the northeast Atlantic.Int. J. Remote Sensing,17(4): 749–759.

    Article  Google Scholar 

  • Silas, E.G. (1985). Tuna fisheries of the Exclusive Economic Zone of India: Biology and Stock assessment,CMFRIbulletin,36: 216p.

  • Silas, E.G and Pillai, P.P. (1982). Resources of tunas and related species and their fisheries in the Indian Ocean.CMFRI bulletin,32: 174p.

    Google Scholar 

  • Stretta, J.M. (1991). Forecasting models for tuna fishery with aerospatial remote sensing.Int. J. Remote Sensing,12: 771–779.

    Article  Google Scholar 

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Correspondence to Y. V. N. Krishnamurthy.

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Anand, A., Kumari, B., Nayak, S.R. et al. Locating oceanic Tuna resources in the Eastern Arabian sea using remote sensing. J Indian Soc Remote Sens 33, 511–520 (2005). https://doi.org/10.1007/BF02990736

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  • DOI: https://doi.org/10.1007/BF02990736

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