Tracking fishing ground parameters in cloudy region using ocean colour and satellite-derived surface flow estimates: A study in the Bay of Bengal

References

• Abbott MR, Zion PM. 1985. Satellite observations of phytoplankton variability during an upwelling event. Cont Shelf Res. 4(6):661–680.
   Web of Science ®Google Scholar
• Ardianto R, Setiawan A, Hidayat J, Zaky A. 2017. Development of an automated processing system for potential fishing zone forecast. IOP Conference Series: Earth and Environmental Science. 54(1):012081.
   Google Scholar
• Bakun A. 2006. Fronts and eddies as key structures in the habitat of marine fish larvae: opportunity, adaptive response and competitive advantage. Sci Mar. 70(S2):105–122.
   Google Scholar
• Balaguru B, Ramakrishnan S, Vidhya R, Thanabalan T. 2014. A Comparative study on utilization of multi-sensor satellite data To detect potential fishing zone (PFZ). Int Arch Photogramm Remote Sens Spatial Inf Sci. 40(8):1017.
   Google Scholar
• Belkin IM, Cornillon PC, Sherman K. 2009. Fronts in large marine ecosystems. Prog Oceanogr. 81(1-4):223–236.
   Web of Science ®Google Scholar
• Carpenter SR, Kitchell JF, Hodgson JR. 1985. Cascading trophic interactions and lake productivity. BioScience. 35(10):634–639.
   Web of Science ®Google Scholar
• Chandran RV, Solanki H, Dwivedi R, Nayak S, Jeyaram A, Adiga S. 2004. Studies on the drift of ocean colour features using satellite-derived sea surface wind for updating potential fishing zone. Int J Remote Sens. 33(2):122–128.
   Google Scholar
• Chavez F, Strutton P, Friederich G, Feely R, Feldman G, Foley D, McPhaden M. 1999. Biological and chemical response of the equatorial Pacific Ocean to the 1997–98 El Niño. Science. 286(5447):2126–2131.
   PubMed Web of Science ®Google Scholar
• Chelton DB, Schlax MG, Samelson RM. 2011. Global observations of nonlinear mesoscale eddies. Prog Oceanogr. 91(2):167–216.
   Web of Science ®Google Scholar
• Choudhury S, Jena B, Rao M, Rao K, Somvanshi V, Gulati D, Sahu S. 2007. Validation of integrated potential fishing zone (IPFZ) forecast using satellite based chlorophyll and sea surface temperature along the east coast of India. Int J Remote Sens. 28(12):2683–2693.
   Web of Science ®Google Scholar
• Dwivedi R, Solanki H, Nayak S, Gulati D, Somvanshi V. 2005. Exploration of fishery resources through integration of ocean colour with sea surface temperature: Indian experience. Int J Remote Sens. 34(4):430–440.
   Google Scholar
• Falkowski PG, Ziemann D, Kolber Z, Bienfang PK. 1991. Role of eddy pumping in enhancing primary production in the ocean. Nature. 352(6330):55.
   Web of Science ®Google Scholar
• Field CB, Behrenfeld MJ, Randerson JT, Falkowski P. 1998. Primary production of the biosphere: integrating terrestrial and oceanic components. Science. 281(5374):237–240.
   PubMed Web of Science ®Google Scholar
• Frenger I, Münnich M, Gruber N. 2018. Imprint of Southern Ocean mesoscale eddies on chlorophyll. Biogeosciences. 15(15):4781–4798.
   Web of Science ®Google Scholar
• George G, Krishnan P, Dam Roy S, Sarma K, Goutham Bharathi M, Kaliyamoorthy M, Krishnamurthy V, Srinivasa Kumar T. 2013. Validation of potential fishing zone (PFZ) forecasts from Andaman and Nicobar Islands. Fish Technol. 50:1–5.
   Google Scholar
• Islam MS. 2003. Perspectives of the coastal and marine fisheries of the Bay of Bengal, Bangladesh. Ocean Coast Manag. 46(8):763–796.
   Web of Science ®Google Scholar
• Kahru M, Gille S, Murtugudde R, Strutton P, Manzano-Sarabia M, Wang H, Mitchell B. 2010. Global correlations between winds and ocean chlorophyll. J Geo Res: Oceans. 115(C12):1–11.
   Google Scholar
• Kamei G, Felix JF, Shenoy L. 2014. Trends of potential fishing zones (PFZs) along the Mumbai coast, Maharashtra. Indian J Fisheries. 61(2):140–142.
   Web of Science ®Google Scholar
• Kostianoy AG, Ginzburg AI, Frankignoulle M, Delille B. 2004. Fronts in the Southern Indian ocean as inferred from satellite sea surface temperature data. J Mar Sys. 45(1-2):55–73.
   Web of Science ®Google Scholar
• Kurian J, Colas F, Capet X, McWilliams JC, Chelton DB. 2011. Eddy properties in the California current system. J Geo Res: Oceans. 116(C8):1–18.
   Web of Science ®Google Scholar
• Laurs RM. 1993. Integration of various satellite derived oceanography information for the identification of potential fishing zones. Lecture notes of international workshop on application of satellite remote sensing for identifying and forecasting potential fishing zones in developing countries, Hyderabad, India, 7–11 December 1993.
   Google Scholar
• Lumban-Gaol J, Leben RR, Vignudelli S, Mahapatra K, Okada Y, Nababan B, Mei-Ling M, Amri K, Arhatin RE, Syahdan M. 2015. Variability of satellite-derived sea surface height anomaly, and its relationship with Bigeye tuna (Thunnus obesus) catch in the eastern Indian ocean. Eur J Remote Sensing. 48(1):465–477.
   Google Scholar
• Mahadevan A. 2014. Ocean science: eddy effects on biogeochemistry. Nature. 506(7487):168.
   PubMed Web of Science ®Google Scholar
• Mahadevan A. 2016. The impact of submesoscale physics on primary productivity of plankton. Ann Rev Mar Sci. 8:161–184.
   PubMed Web of Science ®Google Scholar
• Mansor S, Tan C, Ibrahim H, Shariff ARM. 2001. Satellite fish forecasting in South China sea. Paper presented at the 22nd Asian Conference on Remote Sensing. 5:9.
   Google Scholar
• Mason E, Pascual A, McWilliams JC. 2014. A new sea surface height–based code for oceanic mesoscale eddy tracking. J Atmos Ocean Technol. 31(5):1181–1188.
   Web of Science ®Google Scholar
• McGillicuddy Jr DJ, Robinson A, Siegel D, Jannasch H, Johnson R, Dickey T, McNeil J, Michaels A, Knap A. 1998. Influence of mesoscale eddies on new production in the Sargasso Sea. Nature. 394(6690):263.
   Web of Science ®Google Scholar
• Mittelbach GG, Ballew NG, Kjelvik MK. 2014. Fish behavioral types and their ecological consequences. Can J Fish Aquat Sci. 71(6):927–944.
   Web of Science ®Google Scholar
• Nayak S, Solanki H, Dwivedi R. 2003. Utilization of IRS P4 ocean colour data for potential fishing zone—a cost benefit analysis. Int J Remote Sens. 32(3):244–248.
   Google Scholar
• Naylor RL, Goldburg RJ, Primavera JH, Kautsky N, Beveridge MC, Clay J, Folke C, Lubchenco J, Mooney H, Troell M. 2000. Effect of aquaculture on world fish supplies. Nature. 405(6790):1017.
   PubMed Web of Science ®Google Scholar
• Owen RW. 1981. Fronts and eddies in the sea: mechanisms, interactions and biological effects. Analysis of Marine Ecosystems. 197–233.
   Google Scholar
• Pillai N, Abdussamad E. 2008. Development of tuna fisheries in Andaman and Nicobar Islands. Proc Brainstorming Sess Dev Isl Fish. 23–34.
   Google Scholar
• Rao R, Sivakumar R. 2003. Seasonal variability of sea surface salinity and salt budget of the mixed layer of the north Indian Ocean. J Geo Res: Oceans. 108(C1):9-1–9-14.
   Web of Science ®Google Scholar
• Reese DC, O’Malley RT, Brodeur RD, Churnside JH. 2011. Epipelagic fish distributions in relation to thermal fronts in a coastal upwelling system using high-resolution remote-sensing techniques. ICES J Mar Sci. 68(9):1865–1874.
   Web of Science ®Google Scholar
• Sahu K, Baliarsingh S, Srichandan S, Lotliker A, Kumar T. 2012. Validation of PFZ advisories – a case study along Ganjam coast of Orissa, East Coast of India. Indian Streams Res J. 1(12):1–6.
   Google Scholar
• Sankari S. 1996. Export prospects for Indian marine products. Export Potential Indian Agric. 383:1–25.
   Google Scholar
• Schott FA, McCreary Jr JP. 2001. The monsoon circulation of the Indian Ocean. Prog Oceanogr. 51(1):1–123.
   Web of Science ®Google Scholar
• Shankar D, Vinayachandran P, Unnikrishnan A. 2002. The monsoon currents in the north Indian ocean. Prog Oceanogr. 52(1):63–120.
   Web of Science ®Google Scholar
• Sharma G. 1978. Upwelling off the southwest coast of India. Indian J Mar Sci. 7(4):209–218.
   Google Scholar
• Sharma R, Agarwal N, Chakraborty A, Mallick S, Buckley J, Shesu V, Tandon A. 2016. Large-scale air-sea coupling processes in the Bay of Bengal using space-borne observations. Oceanography. 29(2):192–201.
   Web of Science ®Google Scholar
• Sikhakolli R, Sharma R, Basu S, Gohil B, Sarkar A, Prasad K. 2013. Evaluation of OSCAR ocean surface current product in the tropical Indian Ocean using in situ data. J Earth Syst Sci. 122(1):187–199.
   Web of Science ®Google Scholar
• Singh A, Gandhi N, Ramesh R, Prakash S. 2015. Role of cyclonic eddy in enhancing primary and new production in the Bay of Bengal. J Sea Res. 97:5–13.
   Web of Science ®Google Scholar
• Sissenwine MP. 1984. Why do fish populations vary? Exploitation of marine communities. Dahlem Workshop Report, Springer, Berlin, Heidelberg. 32:59–94.
   Google Scholar
• Solanki H, Dwivedi R, Nayak S, Jadeja J, Thakar D, Dave H, Patel M. 2001. Application of ocean colour monitor chlorophyll and AVHRR SST for fishery forecast: Preliminary validation results off Gujarat coast, northwest coast of India. Int J Remote Sens. 30(3):132–138.
   Google Scholar
• Solanki H, Dwivedi R, Nayak S, Somvanshi V, Gulati D, Pattnayak S. 2003. Fishery forecast using OCM chlorophyll concentration and AVHRR SST: validation results off Gujarat coast, India. Int J Remote Sens. 24(18):3691–3699.
   Web of Science ®Google Scholar
• Solanki H, Mankodi P, Nayak S, Somvanshi V. 2005. Evaluation of remote-sensing-based potential fishing zones (PFZs) forecast methodology. Cont Shelf Res. 25(18):2163–2173.
   Web of Science ®Google Scholar
• Suárez-Morales E, Carrillo A, Morales-Ramírez A. 2013. Report on some monstrilloids (Crustacea: Copepoda) from a reef area off the Caribbean coast of Costa Rica, Central America with description of two new species. J Nat Hist. 47(5-12):619–638.
   Web of Science ®Google Scholar
• Thomas LN. 2005. Destruction of potential vorticity by winds. J Phys Oceanogr. 35(12):2457–2466.
   Web of Science ®Google Scholar
• Thomas LN, Lee CM. 2005. Intensification of ocean fronts by down-front winds. J Phys Oceanogr. 35(6):1086–1102.
   Web of Science ®Google Scholar
• Venegas RM, Strub PT, Beier E, Letelier R, Thomas AC, Cowles T, James C, Soto-Mardones L, Cabrera C. 2008. Satellite-derived variability in chlorophyll, wind stress, sea surface height, and temperature in the northern California current system. J Geo Res: Oceans. 113:C3.
   Web of Science ®Google Scholar
• Wickett WP. 1967. Ekman transport and zooplankton concentration in the north Pacific Ocean. J Fisheries Board Canada. 24(3):581–594.
   Web of Science ®Google Scholar
• Wijesekera HW, Shroyer E, Tandon A, Ravichandran M, Sengupta D, Jinadasa S, Fernando HJ, Agrawal N, Arulananthan K, Bhat G. 2016. ASIRI: an ocean–atmosphere initiative for Bay of Bengal. Bull Am Meteorol Soc. 97(10):1859–1884.
   Web of Science ®Google Scholar
• Wilson C, Morales J, Nayak S, Asanuma I, Feldman G. 2008. Ocean-colour radiometry and fisheries. Why Ocean Colour. 47–58.
   Google Scholar
• Yamanaka I. 1988. The fisheries forecasting system in Japan for coastal pelagic fish. Food & Agriculture Org. 301:1–80.
   Google Scholar
• Zainuddin M, Nelwan A, Farhum SA, Hajar MAI, Kurnia M. 2013. Characterizing potential fishing zone of Skipjack Tuna during the Southeast monsoon in the Bone Bay-Flores Sea using remotely sensed oceanographic data. Int J Geo. 4(01):259.
   Google Scholar
• Zainuddin M, Saitoh K, Saitoh SI. 2008. Albacore (Thunnus alalunga) fishing ground in relation to oceanographic conditions in the western north Pacific Ocean using remotely sensed satellite data. Fish Oceanogr. 17(2):61–73.
   Web of Science ®Google Scholar
• Zuidema P. 2003. Convective clouds over the Bay of Bengal. Mon Weather Rev. 131(5):780–798.
   Web of Science ®Google Scholar