Satellite estimates of the long-term trend in phytoplankton size classes in the coastal waters of north-western Bay of Bengal

• Autorzy: Miranda Joereen , Lotliker Aneesh Anandrao , Baliarsingh Sanjiba Kumar , Jena Amit Kumar , Samanta Alakes , Sahu Kali Charan , Kumar Tummala Srinivasa

Identyfikatory

DOI

10.1016/j.oceano.2020.09.003

• Języki publikacji: EN

Abstrakty

EN

The study presents long-term variability in satellite retrieved phytoplankton size classes (PSC) at two coastal sites, off Gopalpur and Visakhapatnam, in the north-western Bay of Bengal. The abundance-based models by Brewin et al. (2010) (B10) and Sahay et al. (2017) (S17), for retrieval of PSC (micro, nano, and picophytoplankton), from satellite data, were validated. Both the models performed well in the retrieval of nano and microphytoplankton. However, B10 performed poorly in retrieving picophytoplankton. The statistical analysis indicated better performance of the S17 model and hence was applied to Moderate Resolution Imaging Spectroradiometer onboard Aqua satellite (MODISA) data to understand the temporal (at monthly climatology) and spatial variability (from nearshore to offshore). The spatial distribution indicated nearshore dominance of micro and offshore dominance of picophytoplankton. In nearshore waters off Gopalpur, microphytoplankton dominated throughout the year except for months of south-west monsoon (June and July) where the dominance of picophytoplankton was observed. All PSC exhibited similar distribution at an annual scale with a primary peak during pre-monsoon (March and April) and a secondary peak during post-monsoon (September-November). However, microphytoplankton concentration during post-monsoon was higher off Gopalpur in comparison to Visakhapatnam. The higher microphytoplankton concentration during pre-monsoon was attributed to recurrent phytoplankton blooms. Whereas, post-monsoon increment could be attributed to enhanced phytoplankton growth by availing nutrients sourced from monsoonal precipitation induced terrigenous influx. The outcome of the present study recommends the use of the S17 model for satellite retrieval of PSC from the north-western Bay of Bengal.

Słowa kluczowe

EN

MODISA; algorithm; coastal; monsoon; phytoplankton size classes

• Wydawca: Polish Academy of Sciences, Institute of Oceanology ; Elsevier
• Czasopismo: Oceanologia
• Rocznik: 2021
• Tom: No. 63 (1)
• Strony: 40--50
• Opis fizyczny: Bibliogr. 48 poz., rys., tab., wykr.

Twórcy

autor

Miranda Joereen

• Department of Marine Sciences, Berhampur University, Bhanjabihar-760007, India

autor

Lotliker Aneesh Anandrao

• Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Govt. of India, Hyderabad-500090, India

autor

Baliarsingh Sanjiba Kumar

• Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Govt. of India, Hyderabad-500090, India

autor

Jena Amit Kumar

• Department of Marine Sciences, Berhampur University, Bhanjabihar-760007, India

autor

Samanta Alakes

• Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Govt. of India, Hyderabad-500090, India

autor

Sahu Kali Charan

• Department of Marine Sciences, Berhampur University, Bhanjabihar-760007, India

autor

Kumar Tummala Srinivasa

• Indian National Centre for Ocean Information Services, Ministry of Earth Sciences, Govt. of India, Hyderabad-500090, India

Bibliografia

• [1] Agusti, S., Enríquez, S., Frost-Christensen, H., Sand-Jensen, K., Duarte, C. M., 1994. Light harvesting among photosynthetic organisms. Funct. Ecol. 8, 273-279. https://doi.org/10.2307/2389911.
• [2] Arin, L., Estrada, M., Salat, J., Cruzado, A., 2005. Spatio-temporal variability of size fractionated phytoplankton on the shelf adjacent to the Ebro river (NW Mediterranean). Cont. Shelf Res. 25 (9), 1081-1095. https://doi.org/10.1016/j.csr.2004.12.011.
• [3] Arin, L., Morán, X. A. G., Estrada, M., 2002. Phytoplankton size distribution and growth rates in the Alboran Sea (SW Mediterranean): short term variability related to mesoscale hydrodynamics. J. Plankton Res. 24 (10), 1019-1033. https://doi.org/10.1093/plankt/24.10.1019.
• [4] Bailey, S. W., Werdell, P. J., 2006. A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sens. Environ. 102 (1-2), 12-23. https://doi.org/10.1016/j.rse.2006.01.015.
• [5] Baliarsingh, S. K., Lotliker, A. A., Sahu, K. C., Kumar, T. S., 2015. Spatio-temporal distribution of chlorophyll-a in relation to physico-chemical parameters in coastal waters of the northwestern Bay of Bengal. Environ. Monit. Assess. 187, art. no. 481. https://doi.org/10.1007/s10661-015-4660-x.
• [6] Baliarsingh, S. K., Lotliker, A. A., Sudheesh, V., Samanta, A., Das, S., Vijayan, A. K., 2018. Response of phytoplankton community and size classes to green Noctiluca bloom in the northern Arabian Sea. Mar. Pollut. Bull. 129 (1), 222-230. https://doi.org/10.1016/j.marpolbul.2018.02.031.
• [7] Baliarsingh, S. K., Lotliker, A. A., Trainer, V. L., Wells, M. L., Parida, C., Sahu, B. K., Srichandan, S., Sahoo, S., Sahu, K. C., Kumar, T. S., 2016. Environmental dynamics of red Noctiluca scintillans bloom in tropical coastal waters. Mar. Pollut. Bull. 111 (1-2), 277-286. https://doi.org/10.1016/j.marpolbul.2016.06.103.
• [8] Basu, S., Mackey, K. R. M., 2018. Phytoplankton as key mediators of the biological carbon pump: Their responses to a changing climate. Sustainability 10 (3), 869. https://doi.org/10.3390/su10030869.
• [9] Brewin, R. J. W., Sathyendranath, S., Jackson, T., Barlow, R., Brotas, V., Airs, R., Lamont, T., 2015. Influence of light in the mixed-layer on the parameters of a three-component model of phytoplankton size class. Remote Sens. Environ. 168, 437-450. https://doi.org/10.1016/j.rse.2015.07.004.
• [10] Brewin, R. J. W., Hirata, T., Hardman-Mountford, N. J., Lavender, S. J., Sathyendranath, S., Barlow, R., 2012. The influence of the Indian Ocean Dipole on interannual variations in phytoplankton size structure as revealed by Earth Observation. Deep Sea Res. Pt. II 77-80, 117-127. https://doi.org/10.1016/j.dsr2.2012.04.009.
• [11] Brewin, R. J. W., Sathyendranath, S., Hirata, T., Lavender, S. J., Barciela, R. M., Hardman-Mountford, N. J., 2010. A three-component model of phytoplankton size class for the Atlantic Ocean. Ecol. Model. 221 (11), 1472-1483. https://doi.org/10.1016/j.ecolmodel.2010.02.014.
• [12] Brewin, R. J. W., Sathyendranath, S., Lange, P. K., Tilstone, G., 2014. Comparison of two methods to derive the size-structure of natural populations of phytoplankton. Deep Sea Res. Pt. I 85, 72-79. https://doi.org/10.1016/j.dsr.2013.11.007.
• [13] Campbell, L., Nolla, H. A., Vaulot, D., 1994. The importance of Prochlorococcus to community structure in the central North Pacific Ocean. Limnol. Oceanogr. 39 (4), 954-961. https://doi.org/10.4319/lo.1994.39.4.0954.
• [14] Campbell, L., Vaulot, D., 1993. Photosynthetic picoplankton community structure in the subtropical North Pacific Ocean near Hawaii (station ALOHA). Deep Sea Res Pt. I 40 (10), 2043-2060. https://doi.org/10.1016/0967-0637.
• [15] Devred, E., Sathyendranath, E., Stuart, V., Platt, T., 2011. A three component classification of phytoplankton absorption spectra: Application to ocean-color data. Remote Sens. Environ. 115 (9), 2255-2266. https://doi.org/10.1016/j.rse.2011.04.025.
• [16] Devred, E., Sathyendranath, S., Platt, T., 2009. Decadal changes in ecological provinces of the Northwest Atlantic Ocean revealed by satellite observations. Geophys. Res. Lett. 36 (19). art. no. L19607, https://doi.org/10.1029/2009GL039896.
• [17] Donald, K. M., Scanlan, D. J., Carr, N. G., Mann, N. H., Joint, I., 1997. Comparative phosphorus nutrition of the marine cyanobacterium Synechococcus WH7803 and the marine diatom Thalassiosira weissflogii. J. Plankton Res. 19 (12), 1793-1813. https://doi.org/10.1093/plankt/19.12.1793.
• [18] Hannah, F. J., Boney, A. D., 1983. Nanophytoplankton in the Firth of Clyde, Scotland: seasonal abundance, carbon fixation and species composition. J. Exp. Mar. Biol. Ecol. 67 (2), 105-147. https://doi.org/10.1016/0022-0981(83)90085-0.
• [19] Huot, Y., Babin, M., Bruyant, F., Grob, C., Twardowski, M. S., Claustre, H., 2007. Does chlorophyll-a provide the best index of phytoplankton biomass for primary productivity studies? Biogeosciences Discuss. 4 (2), 707-745.
• [20] IOCCG, 2000. Remote sensing of ocean colour in coastal, and other optically-complex, waters. In: Sathyendranath, S. (Ed.), Reports of the International Ocean-Colour Coordinating Group, No. 3. IOCCG, Dartmouth, 1-140.
• [21] Irwin, A. J., Finkel, Z. V., Schofield, O. M. E., Falkowski, P. G., 2006. Scaling-up from nutrient physiology to the size-structure of phytoplankton communities. J. Plankton Res. 28 (5), 459-471. https://doi.org/10.1093/plankt/fbi148.
• [22] Jyothibabu, R., Mohan, A. P., Jagadeesan, L., Anjusha, A., Muraleedharan, K. R., Lallu, K. R., Kiran, K., Ullas, N., 2013. Ecology and trophic preference of picoplankton and nanoplankton in the Gulf of Mannar and the Palk Bay, southeast coast of India. J. Marine Syst. 111-112, 29-44. https://doi.org/10.1016/j.jmarsys.2012.09.006.
• [23] Jyothibabu, R., Vinayachandran, P. N., Madhu, N. V., Robin, R. S., Karnan, C., Jagadeesan, L., Anjusha, A., 2015. Phytoplankton size structure in the southern Bay of Bengal modified by the Summer Monsoon Current and associated eddies: Implications on the vertical biogenic flux. J. Marine Syst. 143, 98-119. https://doi.org/10.1016/j.jmarsys.2014.10.018.
• [24] Lotliker, A. A., Baliarsingh, S. K., Sahu, K. C., Kumar, T. S., 2020. Long-term chlorophyll-a dynamics in tropical coastal waters of the western Bay of Bengal. Environ. Sci. Pollut. Res. 27, 6411-6419. https://doi.org/10.1007/s11356-019-07403-0.
• [25] Lotliker, A. A., Omand, M. M., Lucas, A. J., Laney, S. R., Mahadevan, A., Ravichandran, M., 2016. Penetrative radiative flux in the Bay of Bengal. Oceanography 29 (2), 214-221. https://doi.org/10.5670/oceanog.2016.53.
• [26] Madhu, N. V., Jyothibabu, R., Balachandran, K. K., 2010. Monsoon-induced changes in the size-fractionated phytoplankton biomass and production rate in the estuarine and coastal waters of southwest coast of India. Environ. Monit. Assess. 166, 521-528. https://doi.org/10.1007/s10661-009-1020-8.
• [27] Miranda, J., Baliarsingh, S. K., Lotliker, A. A., Sahoo, S., Sahu, K. C., Kumar, T. S., 2020. Long-term trend and environmental determinants of phytoplankton biomass in coastal waters of northwestern Bay of Bengal. Environ. Monit. Assess. 192, 55. https://doi.org/10.1007/s10661-019-8033-8.
• [28] Mitbavkar, S., Anil, A.C., 2011. Tiniest primary producers in the marine environment: an appraisal from the context of waters around India. Curr. Sci. 100 (7), 986-988.
• [29] Murty, K. N., Sarma, N. S., Pandi, S. R., Chiranjeevulu, G., Kiran, R., Muralikrishna, R., 2017. Hydrodynamic control of microphytoplankton bloom in a coastal sea. J. Earth Syst. Sci. 126, 82. https://doi.org/10.1007/s12040-017-0867-2.
• [30] Neil, C., Spyrakos, E., Hunter, P. D., Tyler, A. N., 2019. A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types. Remote Sens. Environ. 229, 159-178. https://doi.org/10.1016/j.rse.2019.04.027.
• [31] O’Reilly, J. E., Maritorena, S., Mitchell, B. G., Siegel, D. A., Carder, K. L., Garver, S. A., Kahru, M., McClain, C., 1998. Ocean color chlorophyll algorithms for SeaWiFS. J. Geophys. Res.-Oceans 103 (C11), 24937-24953. https://doi.org/10.1029/98JC02160.
• [32] Parsons, T. R., Maita, Y., Lalli, C. M., 1984. A Manual of Chemical and Biological Methods for Seawater Analysis. Pergamon Press, New York, 173 pp.
• [33] Rao, A. D., Dash, S., Jain, I., Dube, S. K., 2007. Effect of estuarine flow on ocean circulation using a coupled coastal-bay estuarine model: an application to the 1999 Orissa cyclone. Nat. Hazards 41, 549-562. https://doi.org/10.1007/s11069-006-9049-2.
• [34] Rao, T. V. N., Rao, D. P., Rao, B. P., Raju, V. S. R., 1986. Upwelling and sinking along Visakhapatnam coast. Indian J. Mar. Sci. 15, 84-87.
• [35] Ribeiro, C. G., Santos, A. L., Marie, D., Pellizari, V. H., Brandini, F. P., Vaulot, D., 2016. Pico and nanoplankton abundance and carbon stocks along the Brazilian Bight. Peer J.. 4, art. no. e2587, https://doi.org/10.7717/peerj.2587.
• [36] Roy, R., Pratihary, A., Mangesh, G., Naqvi, S. W. A., 2006. Spatial variation of phytoplankton pigments along the southwest coast of India. Estuar. Coast Shelf Sci. 69 (1-2), 189-195. https://doi.org/10.1016/j.ecss.2006.04.006.
• [37] Sahay, A., Ali, S. M., Gupta, A., Goes, J. I., 2017. Ocean color satellite determinations of phytoplankton size class in the Arabian Sea during the winter monsoon. Remote Sens. Environ. 198, 286-296. https://doi.org/10.1016/j.rse.2017.06.017.
• [38] Sarma, V. V. S. S., Rao, G. D., Viswanadham, R., Sherin, C. K., Salisbury, J., Omand, M. M., Mahadevan, A., Murty, V. S. N., Shroyer, E. L., Baumgartner, M., Stafford, K. M., 2016. Effects of freshwater stratification on nutrients, dissolved oxygen, and phytoplankton in the Bay of Bengal. Oceanography 29 (2), 222-231. https://doi.org/10.5670/oceanog.2016.54.
• [39] Sathyendranath, S., Cota, G., Stuart, V., Maass, H., Platt, T., 2001. Remote sensing of phytoplankton pigments: a comparison of empirical and theoretical approaches. Int. J. Remote Sens. 22 (2-3), 249-273. https://doi.org/10.1080/014311601449925.
• [40] Shankar, D., McCreary, J. P., Han, W., Shetye, S. R., 1996. Dynamics of the East India Coastal Current: 1. Analytic solutions forced by interior Ekman pumping and local alongshore winds. J. Geophys. Res.-Oceans 101 (C6), 13975-13991. https://doi.org/10.1029/96JC00559.
• [41] Shankar, D., Vinayachandran, P. N., Unnikrishnan, A. S., 2002. The monsoon currents in the north Indian Ocean. Prog. Oceanogr. 52 (1), 63-120. https://doi.org/10.1016/S0079-6611(02)00024-1.
• [42] Shetye, S. R., Shenoi, S. S. C., Gouveia, A. D., Michael, G. S., Sundar, D., Nampoothiri, G., 1991. Wind-driven coastal upwelling along the western boundary of the Bay of Bengal during the southwest monsoon. Cont. Shelf Res. 11 (11), 1397-1408. https://doi.org/10.1016/0278-4343(91)90042-5.
• [43] Strickland, J. D. H., Parsons, T. R., 1965. A manual of seawater analysis. Bull. 125. Fisher. Res. Board Can., Ottawa, 203 pp.
• [44] Uitz, J., Claustre, H., Gentili, B., Stramski, D., 2010. Phytoplankton class-specific primary production in the world’s oceans: seasonal and interannual variability from satellite observations. Global Biogeochem. Cy. 24 (3). art. no. GB3016, https://doi.org/10.1029/2009GB003680.
• [45] Varkey, M. J., Murthy, V. S. N., Suryanarayana, A., 1996. Physical oceanography of the Bay of Bengal and Andaman Sea. Oceanogr. Mar. Biol. Ann. Rev. 34, 1-70.
• [46] Varunan, T., Shanmugam, P., 2015. A model for estimating size-fractioned phytoplankton absorption coefficients in coastal and oceanic waters from satellite data. Remote Sens. Environ. 158, 235-254. https://doi.org/10.1016/j.rse.2014.11.008.
• [47] Vinayachandran, P. N., Mathew, S., 2003. Phytoplankton bloom in the Bay of Bengal during the northeast monsoon and its intensification by cyclones. Geophys. Res. Lett. 30 (11). art. no. 1572, https://doi.org/10.1029/2002GL016717.
• [48] Vinayachandran, P. N., Yamagata, T., 1998. Monsoon response of the sea around Sri Lanka: generation of thermal domes and anticyclonic vortices. J. Phys. Oceanogr. 28 (10), 1946-1960 https://doi.org/10.1175/1520-0485(1998)028<1946:MROTSA>2.0.CO;2.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).