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Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration

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Part of the book series: Developments in Hydrobiology ((DIHY,volume 203))

Abstract

Ecological associations are the inter-relationship between the species and their environment. Oceanographic processes like upwelling events and formation of eddies, rings, and fronts have been monitored using National Oceanic and Atmospheric Administration Advanced Very High Resolution (NOAA AVHRR) and Indian Remote Sensing Satellite-P4-Ocean Colour Monitor (IRS-OCM) data. Sea Surface Temperature (SST) and chlorophyll concentration (CC) images were derived from AVHRR and OCM, respectively. Upwelling event was monitored using AVHRR-SST by detecting the differences in surface water temperature. The formation of eddies, rings, cyclonic eddies, and anticyclonic eddies and their biological responses were studied using CC. Eddies and rings were found with high phytoplankton production in the form of bloom, which provide grazing ground for fishes. The anticyclonic eddies were found with very low CC, indicating the biological deserts in the ocean. The impacts of these processes on fish catch were studied using fishing operations data procured from Fishery Survey of India. In this paper, the occurrence of different oceanographic processes, their persistence, and relevance with catch statistics of fishery resources in the study area are discussed. The study explains the potentials of satellite remote sensing to establish the habitat linkage between oceanographic processes and fishery resources.

Guest editor: V. D. Valavanis Essential Fish Habitat Mapping in the Mediterranean

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References

  • Banse, K., 1968. Hydrography of the Arabian Sea Shelf of India and Pakistan, and effect on demersal fisheries. Deep Sea Research 15: 45–79.

    Google Scholar 

  • Chauhan, P., M. Mohan, P. Matondkar, B. Kumari & S. Nayak, 2002. Surface chlorophyll-a estimation using IRS-P4 OCM data in the Arabian Sea. International Journal of Remote Sensing 23: 1663–1676.

    Article  Google Scholar 

  • Fiedler, P. C., G. B. Smith & R. M. Laurs, 1985. Fisheries application of satellite data in the eastern North Pacific. Marine Fisheries Review 46: 1–13.

    Google Scholar 

  • Gordon, H. R., R. W. Austin, D. A. Clark, W. A. Hovis & C. S. Yentsch, 1985. Ocean color measurements. Advances in Geophysics 27: 297–333.

    Google Scholar 

  • Laevastu, T. & T. Hayes, 1981. Fisheries oceanography. Fishing News Books, Norwich, England: 199.

    Google Scholar 

  • Laurs, R. M. & J. T. Burcks, 1985. Living marine resources applications. Advances in Geophysics 27: 419–452.

    Google Scholar 

  • Laurs, R. M., P. C. Fiedler & M. Montegomery, 1984. Albacore catch distributions relative to environmental features observed from satellite. Deep Sea Research 31: 1085–1099.

    Article  Google Scholar 

  • Maul, G. A., M. Roffer & F. M. Sousa, 1984. Remotely sensed oceanographic patterns and variability of blue fin tuna catch in the Gulf of Mexico. Oceanologica Acta 7: 469–479.

    Google Scholar 

  • McClain, P. C., W. G. Pichel & C. C. Walton, 1985. Comparative performance of AVHRR based multi channel sea surface temperature. Journal of Geophysical Research 90: 11587–11601.

    Article  Google Scholar 

  • Mohan, M., P. Chauhan, A. Mathur & R. M. Dwivedi, 1998. Atmospheric correction of MOS-B data using long wavelength and PCI based approaches. Scientific Report, SAC/RESA/MWRD/IRSP3/SN/02/98: 14-22.

    Google Scholar 

  • Narayana, A., H. U. Solanki, B. G. Krishna & A. Narain, 1995. Geometric correction and radiometric normalisation of NOAA AVHRR data for fisheries application. International Journal of Remote Sensing 16: 765–771.

    Article  Google Scholar 

  • Njoku, E. G., T. P. Barnett, R. M. Laurs & A. C. Vasano, 1986. Advances in satellite sea surface temperature measurement and oceanographic applications. Journal of Geophysical Research 90: 11571–11586.

    Article  Google Scholar 

  • O’Reilly, J. E., S. Maritonena, B. G. Mitchell, D. A. Siegal, K. L. Carder, S. A. Graver, M. Kahru & C. R. McClain, 1998. Ocean color chlorophyll algorithms for SeaWiFS. Journal of Geophysics 103: 24937–24963.

    Article  CAS  Google Scholar 

  • Podestra, G. P., J. A. Browder & J. J. Hoey, 1993. Exploring the association between swordfish catch rates and thermal fronts on US longline grounds in the Western North Atlantic. Continental Shelf Research 13: 253–277.

    Article  Google Scholar 

  • Solanki, H. U., R. M. Dwivedi & A. Narain, 1998a. Satellite observations of coastal upwelling in the Northern Arabian Sea and its impact on fishery resources. Proceedings of the International Symposium on Information Technology in Oceanography (ITO, 1998), October 1998, Goa, India: 12–16.

    Google Scholar 

  • Solanki, H. U., R. M. Dwivedi & S. R. Nayak, 1998b. Relationship between IRS MOS-B derived chlorophyll and NOAA AVHRR SST: a case study in the North West Arabian Sea, India. Proceedings of 2nd International workshop on MOS-IRS and Ocean Colour. Institute of Space Sensor Technology, Berlin, Germany: 327–339.

    Google Scholar 

  • Solanki H. U., R. M. Dwivedi & S. R. Nayak, 2000. Generation of composite image using OCM chlorophyll and NOAA AVHRR SST for locating potential fishing grounds. In Proceedings PORSEC 2000 vol II, 669–672.

    Google Scholar 

  • Solanki H. U., R. M. Dwivedi & S. R. Nayak, 2001a. Synergistic analysis of Sea WiFS chlorophyll and NOAA AVHRR derived SST features for marine living resources. International Journal of Remote Sensing 22(8): 3877–3882.

    Article  Google Scholar 

  • Solanki H. U., R. M. Dwivedi & S. R. Nayak, 2001b. Application of OCM chlorophyll and AVHRR SST for fishery forecast: Preliminary results off Gujarat coast. Indian Journal of Marine Science 30(3): 132–138.

    Google Scholar 

  • Solanki, H. U., R. M. Dwivedi & S. R. Nayak, 2003a. Application of remotely sensed closely coupled biological and physical process for marine fishery resources exploration. Journal of Society of Indian Remote Sensing 31: 67–70.

    Article  Google Scholar 

  • Solanki, H. U., R. M. Dwivedi, S. R. Nayak, V. S. Somvanshi, D. K. Gulati & S. K. Pattnayak, 2003b. Fishery forecast using OCM chlorophyll concentration and AVHRR SST: Validation results of Gujarat Coast, India. International Journal of Remote Sensing 24: 3691–3699.

    Article  Google Scholar 

  • Solanki, H. U., P. C. Mankodi, S. R. Nayak & V. S. Somvanshi, 2005. Evaluation of remote-sensing-based potential fishing zones (PFZs) forecast methodology. Continental Shelf Research 25: 2163–2173.

    Google Scholar 

  • Solanki, H. U., M. Raman, B. Kumari, R. M. Dwivedi & A. Narain, 1998c. Seasonal trends in the fishery resources off Gujarat: salient observations using NOAA-AVHRR. Indian Journal of Maine Sciences 27: 438–442.

    Google Scholar 

  • Stretta, J. M., 1991. Forecasting models for tuna fishery with Aerospatiale remote sensing. International Journal of Remote Sensing 12: 771–779.

    Article  Google Scholar 

  • Sugimoto, T. & H. Tameish, 1992. Warm core rings and their role on the fishing ground formation around Japan. Deep Sea Research 39: 183–201.

    Google Scholar 

  • Yamanaka, I., S. Ito, K. Niwa, R. Tanabe, Y. Yabuta & S. Chikuni, 1998. The fisheries forecasting system in Japan for coastal pelagic fish. FAO Fisheries Technical Paper 301: 372.

    Google Scholar 

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Solanki, H.U., Mankodi, P.C., Dwivedi, R.M., Nayak, S.R. (2008). Satellite observations of main oceanographic processes to identify ecological associations in the Northern Arabian Sea for fishery resources exploration. In: Valavanis, V.D. (eds) Essential Fish Habitat Mapping in the Mediterranean. Developments in Hydrobiology, vol 203. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9141-4_20

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