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Phytoplankton pigments were used to study the community structure and phytoplankton size class in Goa’s estuaries. The study revealed that fucoxanthin and chlorophyll a were the most dominant pigments. The correlation of diagnostic pigments (DP) and chl a correlated positively in both estuaries (Mandovi: R2 = 0.703, P < 0.01; Zuari: R2 = 0.892, P < 0.01), suggesting that DP can serve as a proxy to measure phytoplankton biomass. Results showed that with DP and biomass proportion, phytoplankton size class (picoplankton, nanoplankton and microplankton) can be derived. Picoplankton biomass was highest during pre-monsoon season, while microplankton biomass was high during monsoon season. The high abundance of microplankton may support planktivorous fishery productivity.
Czasopismo
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Tom
Strony
Art. no. 67110
Opis fizyczny
Bibliogr. 66 poz., map., rys., wykr.
Twórcy
autor
- CSIR – National Institute of Oceanography, Dona Paula–403004, Goa, India
- Department of Marine Science, Bharathidasan University, Tiruchirappalli–620024, Tamil Nadu, India
autor
- CSIR – National Institute of Oceanography, Dona Paula–403004, Goa, India
autor
- CSIR – National Institute of Oceanography, Dona Paula–403004, Goa, India
Bibliografia
- 1. Albin, K.J., Jyothibabu, R., Alok, K.T., Santhikrishnan, S., Sarath, S., Sudheesh, V., Sherin, C.K., Balachandran, K. K., Asha Devi, C.R., Gupta, G.V.M., 2022. Distinctive phytoplankton size responses to the nutrient enrichment of coastal upwelling and winter convection in the eastern Arabian Sea. Prog. Oceanogr. 203, 102779. https://doi.org/10.1016/j.pocean.2022.102779
- 2. Anand, S. S., Sardessai, S., Muthukumar, C., Mangalaa, K.R., Sundar, D., Parab, S.G., Kumar, M.D., 2014. Intra-and inter-seasonal variability of nutrients in a tropical monsoonal estuary (Zuari, India). Cont. Shelf. Res. 82, 9-30. https://doi.org/10.1016/j.csr.2014.04.005
- 3. Barlow, R., Sessions, H., Balarin, M., Weeks, S., Whittle, C., Hutchings, L., 2005. Seasonal variation in phytoplankton in the southern Benguela: pigment indices and ocean colour. Afr. J. Mar. Sci. 27(1), 275-287. https://doi.org/10.2989/18142320509504086
- 4. Barlow, R., Stuart, V., Lutz, V., Sessions, H., Sathyendranath, S., Platt, T., Kyewalyanga, M., Clementson, L., Fukasawa, M., Watanabe, S., Devred, E., 2007. Seasonal pigment patterns of surface phytoplankton in the subtropical southern hemisphere. Deep-Sea. Res I. Oceanogr. Res. Pap. 54(10), 1687-1703. https://doi.org/10.1016/j.dsr.2007.06.010
- 5. Bharathi, M.D., Venkataramana, V., Sarma, V.V.S.S., 2022. Phytoplankton community structure is governed by salinity gradient and nutrient composition in the tropical estuarine system. Cont. Shelf. Res. 234 (1), 104643. https://doi.org/10.1016/j.csr.2021.104643
- 6. Chowdhury, M., Biswas, H., 2023. A coherent status of summer monsoon phytoplankton communities (2017-2018) along the Western Indian continental shelf: Implications for fisheries. Sci. Total. Environ. 878, 162963. https://doi.org/10.1016/j.scitotenv.2023.162963
- 7. Chai, C., Jiang, T., Cen, J., Ge, W., Lu, S., 2016. Phytoplankton pigments and functional community structure in relation to environmental factors in the Pearl River Estuary. Oceanologia. 58 (3), 201-211. https://doi.org/10.1016/j.oceano.2016.03.001
- 8. Chase, A.P., Kramer, S.J., Haëntjens, N., Boss, E.S., Karp-Boss, L., Edmondson, M., Graff, J.R., 2020. Evaluation of diagnostic pigments to estimate phytoplankton size classes. Limnol. Oceanogr. Meth. 18 (10), 570-584. https://doi.org/10.1002/lom3.10385
- 9. Chandrasekhararao, A.V., Kurian, S., Vidya, P.J., Gauns, M., 2022. Seasonal and inter-annual variability of chemotaxonomic marker pigments in the north-eastern Arabian Sea. Deep-Sea. Res. Pt. I. 179 (1), 103679. https://doi.org/10.1016/j.dsr.2021.103679
- 10. Chilton, D., Hamilton, D.P., Nagelkerken, I., Cook, P., Hipsey, M.R., Reid, R., Brookes, J., 2021. Environmental flow requirements of estuaries: providing resilience to current and future climate and direct anthropogenic changes. Front. Environ. Sc. 9, 764218. https://doi.org/10.3389/fenvs.2021.764218
- 11. De Vargas, C., Audic, S., Henry, N., Decelle, J., Mahé, F., Logares, R., 2015. Eukaryotic plankton diversity in the sunlit ocean. Science. 348 (6237), 1-11. https://doi.org/10.1126/science.1261605
- 12. de Senerpont Domis, L.N., Elser, J.J., Gsell, A.S., Huszar, V.L., Ibelings, B.W., Jeppesen, E., Lürling, M., 2013. Plankton dynamics under different climatic conditions in space and time. Freshwater Biol. 58(3), 463-482. https://doi.org/10.1111/fwb.12053.
- 13. Dutta, S., Chanda, A., Akhand, A., Hazra, S., 2016. Correlation of phytoplankton biomass (Chlorophyll-a) and nutrients with the catch per unit effort in the PFZ forecast areas of Northern Bay of Bengal during simultaneous validation of winter fishing season. Turk. J. Fish. Aquat. Sc. 16 (4), 767-777. https://doi.org/10.4194/1303-2712-v16_4_03.
- 14. Figueiras, F.G., Espinoza-González, O., Arbones, B., Garrido, J.L., Teixeira, I.G., Castro, C.G., 2014. Estimating phytoplankton size-fractionated primary production in the northwestern Iberian upwelling: Is mixotrophy relevant in pigmented nanoplankton. Prog. Oceanog. 128, 88-97. https://doi.org/10.1016/j.pocean.2014.08.011
- 15. Fietz, S., Kobanova, G., Izmest’eva, L., Nicklisch, A., 2005. Regional, vertical and seasonal distribution of phytoplankton and photosynthetic pigments in Lake Baikal. J. Plankton. Res. 27 (8), 793-810. https://doi.org/10.1093/plankt/fbi054.
- 16. Flander-Putrle, V., Francé, J., Mozetič, P., 2021. Phytoplankton pigments reveal size structure and interannual variability of the coastal phytoplankton community (Adriatic Sea). Water 14 (1), 23. https://doi.org/10.3390/w14010023
- 17. Gameiro, C., Cartaxana, P., Cabrita, M.T., Brotas, V., 2004. Variability in chlorophyll and phytoplankton composition in an estuarine system. Hydrobiologia 525, 113 -124. https://doi.org/10.1023/B:HYDR.0000038858.29164.3
- 18. Gibb, S.W., Cummings, D.G. Irigoien, X., Barlow, R.G., Fauzi, R., Mantoura, C., 2001. Phytoplankton pigment chemotaxonomy of northeastern Atlantic. Deep-Sea. Res. Pt. II, 48 (4-5), 795-823. https://doi.org/10.1016/S0967-0645(00)00098-9
- 19. Gomez, F., Souissi, S., 2020. The role of salinity in phytoplankton growth dynamics and the implications for harmful algal blooms in coastal ecosystems. Mar. Environ. Res. 162, 105149.
- 20. Hilligsøe, K.M., Richardson, K., Bendtsen, J., Sørensen, L.L., Nielsen, T.G., Lyngsgaard, M.M., 2011. Linking phytoplankton community size composition with temperature, plankton food web structure and sea–air CO2 flux. Deep-Sea. Res Pt. I 58 (8), 826-838. https://doi.org/10.1016/j.dsr.2011.06.004
- 21. Huete-Ortega, M., Marañon, E., Varela, M., Bode, A., 2010. General patterns in the size scaling of phytoplankton abundance in coastal waters during a 10-year time series. J.Plankton. Res. 32 (1), 1-14. https://doi.org/10.1093/plankt/fbp104.
- 22. Jeffrey, S.W., Wright, S.W., Zapata, M., 1999. Recent advances in HPLC pigment analysis of phytoplankton. Mar. Freshw. Res. 50 (8), 879-896. https://doi.org/10.1071/MF99109
- 23. Jyothibabu, R., Madhu, N.V., Jayalakshmi, K.V., Balachandran, K.K., Shiyas, C.A., Martin, G.D., 2006. Impact of fresh water influx on microzooplankton mediated food web in a tropical estuary (Cochin backwaters-India). Estuar. Coast. Mar. Sci. 69 (3-4), 505-518. https://doi.org/10.1016/j.ecss.2006.05.013
- 24. Kramer, S.J., Siegel, D.A., 2019. How can phytoplankton pigments be best used to characterize surface ocean phytoplankton groups for ocean color remote sensing algorithms?. J. Geophys. Res. Oceans, 124 (11), 7557-7574. https://doi.org/10.1029/2019JC015604
- 25. Kudela, R.M., Palacios, S.L., Austerberry, D.C., Accorsi, E.K., Guild, L.S., Torres-Perez, J., 2015. Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters. Remote. Sens. Environ. 167, 196-205. https://doi.org/10.1016/j.rse.2015.01.025
- 26. Le Quéré, C., Harrison, S.P., Prentice, C.I., Buitenhuis, E.T., Aumont, O., Bopp, L., Claustre, H., 2005. Ecosystem dynamics based on plankton functional types for global ocean biogeochemistry models. Global. Change. Biol. 11 (11), 2016-2040. https://doi.org/10.1111/j.1365-2486.2005.1004.x
- 27. 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 (1), 521-528. https://doi.org/10.1007/s10661-009-1020-8
- 28. Marañón, E., Cermeno, P., Latasa, M., Tadonléké, R.D., 2012. Temperature, resources, and phytoplankton size structure in the ocean. Limnol. Oceanogr. 57 (5), 1266-1278. https://doi.org/10.4319/lo.2012.57.5.1266
- 29. Mouriño-Carballido, B., Hojas, E., Cermeño, P., Chouciño, P., Fernández-Castro, B., Latasa, M., Vidal, M., 2016. Nutrient supply controls picoplankton community structure during three contrasting seasons in the northwestern Mediterranean Sea. Mar. Ecol. Prog. Ser. 543, 1-19. https://doi.org/10.3354/meps11558
- 30. Mouw, C.B., Hardman-Mountford, N.J., Alvain, S., Bracher, A., Brewin, R.J., Bricaud, A., Uitz, J., 2017. A consumer’s guide to satellite remote sensing of multiple phytoplankton groups in the global ocean. Front. Mar. Sci. 4, 41. https://doi.org/10.3389/fmars.2017.00041
- 31. Nair, A., Sathyendranath, S., Platt, T., Morales, J., Stuart, V., Forget, M.H., Devred, E., Bouman, H., 2008. Remote sensing of phytoplankton functional types. Remote. Sens. Environ. 112 (8), 3366-3375. https://doi.org/10.1016/j.rse.2008.01.021
- 32. Ning, M., Li, H., Xu, Z., Chen, L., He, Y., 2021. Picophytoplankton identification by flow cytometry and highthroughput sequencing in a clean reservoir. Ecotox. Environ. Safe. 216, 112216. https://doi.org/10.1016/j.ecoenv.2021.112216
- 33. Patil, J.S., Anil, A.C., 2011. Variations in phytoplankton community in a monsoon-influenced tropical estuary. Environ. Monit. Assess. 182, 291-300. https://doi.org/10.1007/s10661-011-1876-2
- 34. Patil, J.S., Anil, A.C., 2015. Effect of monsoonal perturbations on the occurrence of phytoplankton blooms in a tropical bay. Mar. Ecol. Prog. Ser. 530, 77-92. https://doi.org/10.3354/meps11289
- 35. Patil, J.S., Sathish, K., 2023. Responses of Phytoplankton Benthic Propagules to Macronutrient Enrichment and Varying Light Intensities: Elucidation from Monsoon-Influenced Mandovi and Zuari Riverine System: Responses of Phytoplankton Benthic Propagules to Macronutrient Enrichment and Varying Light Intensities: Elucidation from Monsoon-Influenced Mandovi and Zuari Riverine System. Microb. Ecol. 85 (4), 1367-1381. https://doi.org/10.1007/s00248-022-02021-9
- 36. Paerl, H.W., Valdes, L.M., Pinckney, J.L., Piehler, M.F., Dyble, J., Moisander, P.H., 2003. Phytoplankton photopigments as indicators of estuarine and coastal eutrophication. Bio. Science. 53 (10), 953-964. https://doi.org/10.1641/0006-3568(2003)053[0953:PPAIOE]2.0.CO;2
- 37. Paerl, H.W., Justic, D., 2013. Estuarine phytoplankton. Estuarine. Ecol., 85-110. https://doi.org/10.1002/9781118412787
- 38. Paul, M., Velappan, M.N., Nanappan, U., Gopinath, V., Velloth, R.T., Rajendran, A., Peariya, A., 2021. Characterization of phytoplankton size-structure based productivity, pigment complexes (HPLC/CHEMTAX) and species composition in the Cochin estuary (southwest coast of India): special emphasis on diatoms. Oceanologia 63 (4), 463-481. https://doi.org/10.1016/j.oceano.2021.05.004
- 39. Pednekar, S.M., Kerkar, V., Matondkar, S.G.P., 2014. Spatiotemporal distribution in phytoplankton community with distinct salinity regimes along the Mandovi estuary, Goa, India. Turk. J. Bot. 38 (4), 800-818. https://doi.org/10.3906/bot-1309-29
- 40. Pulina, S., Satta, C.T., Padedda, B.M., Bazzoni, A.M., Sechi, N., Lugliè, A., 2017. Picophytoplankton seasonal dynamics and interactions with environmental variables in three Mediterranean coastal lagoons. Estuar. Coast. 40, 469-478. https://doi.org/10.1007/s12237-016-0154-5
- 41. Rajaneesh, K.M., Mitbavkar, S., Anil, A.C., 2018. Dynamics of size-fractionated phytoplankton biomass in a monsoonal estuary: Patterns and drivers for seasonal and spatial variability. Estuar. Coast. Shelf. S. 207, 325 -337. https://doi.org/10.1016/j.ecss.2018.04.026
- 42. Ramakrishnan, R., Fernandes, V., 2022. Spatio-Temporal Dynamics of Phytoplankton in the Mandovi Estuary, on the Central West Coast of India During Post Monsoon. Thalassas. 38(2), 1025-1040.
- 43. 16/17 https://doi.org/10.1007/s41208-022-00449-x
- 44. 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. S. 69 (1–2), 189-195. https://doi.org/10.1016/j.ecss.2006.04.006
- 45. Roy, R., Chitari, R., Kulkarni, V., Krishna, M.S., Sarma, V.V.S.S., Anil, A.C., 2015. CHEMTAX-derived phytoplankton community structure associated with temperature fronts in the northeastern Arabian Sea. J. Marine Syst. 144, 81-91. https://doi.org/10.1016/j.jmarsys.2014.11.009
- 46. Rekik, A., Denis, M., Maalej, S., Ayadi, H., 2015. Spatial and seasonal variability of pico-, nano-and microphyto- plankton at the bottom seawater in the north coast of Sfax, Eastern Mediterranean Sea. Environ. Sci. Pollut. R. 22, 15961-15975. https://doi.org/10.1007/s11356-015-4811-1
- 47. Saifullah, A.S.M., Kamal, A.H.M., Idris, M.H., Rajaee, A.H., Bhuiyan, M.K.A., 2016. Phytoplankton in tropical mangrove estuaries: role and interdependency. Forest Sci. Technol. 12 (2), 104-113. https://doi.org/10.1080/21580103.2015.1077479
- 48. Santhanam, R., Ramanathan, N., Venkataramanuja, K.V., Jegatheesan, G., 1987. Phytoplankton of the Indian Seas: An Aspect of Marine Botany. Daya Publication House, 127 pp.
- 49. Shankar, D., Remya, R., Anil, A. C., Vijith, V., 2019. Role of physical processes in determining the nature of fisheries in the eastern Arabian Sea. Prog. Oceanogr. 172, 124-158. https://doi.org/10.1016/j.pocean.2018.11.006
- 50. Shetye, S.R., Gouveia, A.D., Singbal, S.Y., Naik, C.G., Sundar, D., Michael, G.S., Nampoothiri, G., 1995. Propagation of tides in the Mandovi-Zuari estuarine network. Proc. Indian. Natl. Sci. 104, 667-682. https://doi.org/10.1007/BF02839302
- 51. Shetye, S.R., Shankar, D., Neetu, S., Suprit, K., Michael, G.S., Chandramohan, P., 2007. The environment that conditions the Mandovi and Zuari estuaries. National Institute of Oceanography, India, 3-27. http://drs.nio.org/drs/handle/2264/624
- 52. Smetacek, V., 1998. Diatoms and the silicate factor. Nature. 391 (66694), 224-225. https://doi.org/10.1038/34528
- 53. Soares, M.C.S., Lobão, M.L., Vidal, L.O., Noyma, N.P., Barros, N.O., Cardoso, S.J., Roland F., 2011. Light Microscopy in Aquatic Ecology: Methods for Plankton Communities Studies. [In:] Chiarini-Garcia, H., Melo, R. (eds.), Light Microscopy. Methods in Molecular Biology, Vol. 689, Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60761-950-5_13
- 54. Strickland, J.D., Holm-Hansen, O., Eppley, R.W., Linn, R.J., 1969. The use of a deep tank in plankton ecology-Studies of the growth and composition of phytoplankton crops at low nutrient levels. Limnol. Oceanogr 14 (1), 23-34. https://doi.org/10.4319/lo.1969.14.1.0023
- 55. Tao, W., Niu, L., Liu, F., Cai, H., Ou, S., Zeng, D., Yang, Q., 2020. Influence of river-tide dynamics on phytoplankton variability and their ecological implications in two Chinese tropical estuaries. Ecol. Indic. 115, 106458. https://doi.org/10.1016/j.ecolind.2020.106458
- 56. Thrane, J.E., Kyle, M., Striebel, M., Haande, S., Grung, M., Rohrlack, T., Andersen, T., 2015. Spectrophotometric analysis of pigments: a critical assessment of a high-throughput method for analysis of algal pigment mixtures by spectral deconvolution. PloS One, 10 (9), e0137645. https://doi.org/10.1371/journal.pone.0137645
- 57. Tomas, C.R, 1997. Identifying Marine Phytoplankton. Acad. Press, Elsevier, Amsterdam, 858 pp. Turner, K.J., Mouw, C.B., Hyde, K.J., Morse, R., Ciochetto, A.B., 2021. Optimization and assessment of phytoplankton size class algorithms for ocean color data on the Northeast US continental shelf. Remote. Sens. Environ. 267, 112729. https://doi.org/10.1016/j.rse.2021.112729
- 58. Twardowski, M.S., Claustre, H., Freeman, S.A., Stramski, D., Huot, Y., 2007. Optical backscattering properties of the clearest natural waters. Biogeosciences 4 (6), 1041-1058. https://doi.org/10.5194/bg-4-1041-2007
- 59. Van Dijk, M.A., Gregori, G., Hoogveld, H.L., Rijkeboer, M., Denis, M., Malkassian, A., Gons, H.J., 2010. Optimizing the setup of a flow cytometric cell sorter for efficient quantitative sorting of long filamentous Cyanobacteria. Cytometry, 77 (10), 911-924. https://doi.org/10.1002/cyto.a.20946
- 60. Van Heukelem, L., Thomas, C.S., 2001. Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments. J. Chromatogr. A, 910 (1), 31-49. https://doi.org/10.1016/S0378-4347(00)00603-4
- 61. Verlecar, X.N., Desai, S.R., Sarkar, A., Dalal, S.G., 2006. Biological indicators in relation to coastal pollution along Karnataka coast, India. Water. Res. 40 (17), 3304-3312. https://doi.org/10.1016/j.watres.2006.06.022
- 62. Vidussi, F., Clustre, H., Manca, B.B., Luchetta, A., Marty, J.C., 2001. Phytoplankton pigment distribution in relation to upper thermocline circulation in the eastern Mediterranean Sea during winter. J. Geophys. Res. 106 (C9), 19939-19956. https://doi.org/10.1029/1999JC000308
- 63. Vijith, V., Sundar, D., Shetye, S.R., 2009. Time-dependence of salinity in monsoonal estuaries. Estuary. Coast. Shelf. S. 85 (4), 601-608. https://doi.org/10.1016/j.ecss.2009.10.003
- 64. Wang, J., Jiang, H., Sun, X., 2019. Responses of phytoplankton growth and sinking rate to changes in salinity and temperature in the Changjiang River estuary. Estuar. Coast. Shelf. S. 222, 183-191. https://doi.org/10.2139/ssrn.4932301
- 65. Wollschläger, J., Wiltshire, K.H., Petersen, W., Metfies, K., 2015. Analysis of phytoplankton distribution and community structure in the German Bight with respect to the different size classes. J. Sea. Res. 99, 83-96. https://doi.org/10.1016/j.seares.2015.02.005
- 66. Zhao, L., Zhao, Y., Xu, J., Zhang, W., Huang, L., Jiang, Z., Xiao, T., 2016. Distribution and seasonal variation of picoplankton in Sanggou Bay, China. Aquacult. Env. Interac. 8, 261-271. https://doi.org/10.3354/aei00168
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d2df6914-ed8b-48ff-92ce-709fc596a639
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