Journal of Oceanology and Limnology

, Volume 36, Issue 3, pp 750–760 | Cite as

Determination of the spatial and temporal variability of phytoplankton community structure in Daya Bay via HPLC-CHEMTAX pigment analysis

  • Longhua Wang (王龙花)
  • Linjian Ou (欧林坚)
  • Kaixuan Huang (黄凯旋)
  • Chao Chai (柴超)
  • Zhaohui Wang (王朝晖)
  • Xiaomin Wang (王晓敏)
  • Tao Jiang (江涛)Email author


The spatial and temporal variability of the phytoplankton community structure in Daya Bay, South China Sea, were identified by using HPLC-CHEMTAX analytical techniques. The highest chlorophyll a (Chl a) concentrations were observed during summer (with an average value of 0.84 μg/L) and lowest ones during winter (with an average value of 0.33 μg/L). CHEMTAX processing revealed the seasonal succession of phytoplankton species in Daya Bay. During winter, diatoms were the dominant phytoplankton species and contributed 41.5% to total Chl a. Based on Chl a concentration, the average ratio of dinoflagellates to total phytoplankton biomass substantially increased with increasing temperature and nitrogen to phosphorus (N/P) ratio, reaching 52.2% in spring. Nutrient limitation shifted from phosphorus to nitrogen during summer. Moreover, this period was associated with the predominance of diatoms, which accounted for 71.1% of Chl a. Prasinophytes and cryptophytes were the other two dominant groups and particularly dominated during winter. Cyanobacteria became an important group during summer and autumn. Canonical correspondence analysis suggested that chrysophytes, dinoflagellates, and cryptophytes were strongly associated with high nitrate concentration, ammonium, dissolved inorganic nitrogen (DIN), and N/P ratio, and were negatively associated with temperature and phosphate. Diatoms and cyanobacteria were strongly associated with temperature, phosphate, and salinity, and are negatively influenced by nitrate, ammonium, DIN, and N/P ratio. Microscopic observations and pigment HPLC information were in good agreement for diatoms and dinoflagellates in the bay. This study demonstrated the usefulness of pigment analysis in investigating the distribution of phytoplankton groups in a complex physical environment, such as Daya Bay.


phytoplankton pigments environmental factor HPLC-CHEMTAX Daya Bay 


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  1. Aiken J, Pradhan Y, Barlow R, Lavender S, Poulton A, Holligan P, Hardman-Mountford N. 2009. Phytoplankton pigments and functional types in the Atlantic Ocean: a decadal assessment, 1995–2005. Deep Sea Research Part II: Topical Studies in Oceanography, 56 (15): 899–917.CrossRefGoogle Scholar
  2. 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 Research Part I: Oceanographic Research Papers, 54 (10): 1 687–1 703.CrossRefGoogle Scholar
  3. Brito A C, Sá C, Mendes C R, Brand T, Dias A M, Brotas V, Davidson K. 2015. Structure of late summer phytoplankton community in the Firth of Lorn (Scotland) using microscopy and HPLC-CHEMTAX. Estuarine, Coastal and Shelf Science, 167: 167–86.Google Scholar
  4. Carreto J I, Montoya N, Akselman R, Carignan M O, Silva R I, Colleoni D A C. 2008. Algal pigment patterns and phytoplankton assemblages in different water masses of the Río de la Plata maritime front. Continental Shelf Research, 28 (13): 1 589–1 606.CrossRefGoogle Scholar
  5. Chakraborty S, Lohrenz S E. 2015. Phytoplankton community structure in the river-influenced continental margin of the northern Gulf of Mexico. Marine Ecology Progress Series, 521: 521–31.CrossRefGoogle Scholar
  6. Dupuy C, Vaquer A, Lam-Höai T, Rougier C, Mazouni N, Collos Y, Lautier J, Le Gall S. 2000. Feeding rate of the oyster Crassostrea gigas in a natural planktonic community of the Mediterranean Thau Lagoon. Marine Ecology Progress Series, 205: 171–184.CrossRefGoogle Scholar
  7. Hansen H P, Grasshoff K, Statham P J, Williams P J L. 1983. Automated chemical analysis. In: Grasshoff K, Ehrhardt M, Kremling K eds. Methods of Seawater Analysis. Verlag Chemie, Deerfield Beach, Fla, USA. p.263-289.Google Scholar
  8. Havskum H, Schlüter L, Scharek R, Berdalet E, Jacquet S. 2004. Routine quantification of phytoplankton groups microscopy or pigment analyses? Marine Ecology Progress Series, 273: 31–41.CrossRefGoogle Scholar
  9. He X J, Peng X Y. 2012. Spatial variability of summer and autumn phytoplankton community structure in Xiamen Western Bay based on pigment analysis. Acta Oceanologica Sinica, 31 (5): 165–175.CrossRefGoogle Scholar
  10. Henriksen P, Riemann B, Kaas H, Sørensen H M, Sørensen H L. 2002. Effects of nutrient-limitation and irradiance on marine phytoplankton pigments. Journal of Plankton Research, 24 (9): 835–858.CrossRefGoogle Scholar
  11. Jauzein C, Labry C, Youenou A, Quéré J, Delmas D, Collos Y. 2010. Growth and phosphorus uptake by the toxic dinoflagellate Alexandrium catenella (dinophyceae) in response to phosphate limitation. Journal of Phycology, 46 (5): 926–936.CrossRefGoogle Scholar
  12. Jiang T, Chen F Y, Yu Z H, Lu L, Wang Z H. 2016. Sizedependent depletion and community disturbance of phytoplankton under intensive oyster mariculture based on HPLC pigment analysis in Daya Bay, South China Sea. Environmental Pollution, 219: 219–804.CrossRefGoogle Scholar
  13. Jiang T, Yu Z M, Song X X, Cao X H, Yuan Y Q. 2010. Longterm ecological interactions between nutrient and phytoplankton community in the Changjiang estuary. Chinese Journal of Oceanology and Limnology, 28 (4): 887–898.CrossRefGoogle Scholar
  14. Lee R E. 2008. Phycology. 4 th edn. Cambridge University Press, Cambridge, USA. 560p.CrossRefGoogle Scholar
  15. Li T, Liu S, Huang L M, Huang H, Lian J S, Yan Y, Lin S J. 2011. Diatom to dinoflagellate shift in the summer phytoplankton community in a bay impacted by nuclear power plant thermal effluent. Marine Ecology Progress Series, 424: 424–75.CrossRefGoogle Scholar
  16. Lohrenz S E, Carroll C L, Weidemann A D, Tuel M. 2003. Variations in phytoplankton pigments, size structure and community composition related to wind forcing and water mass properties on the North Carolina inner shelf. Continental Shelf Research, 23 (14-15): 1 447–1 464.CrossRefGoogle Scholar
  17. Lomas M W, Glibert P M. 2000. Comparisons of nitrate uptake, storage, and reduction in marine diatoms and flagellates. Journal of Phycology, 36 (5): 903–913.CrossRefGoogle Scholar
  18. Mackey D J, Higgins H W, Mackey M D, Holdsworth D. 1998. Algal class abundances in the western equatorial Pacific: estimation from HPLC measurements of chloroplast pigments using CHEMTAX. Deep Sea Research Part I: Oceanographic Research Papers, 45 (9): 1 441–1 468.CrossRefGoogle Scholar
  19. Mackey M D, Mackey D J, Higgins H W, Wright S W. 1996. CHEMTAX-a program for estimating class abundances from chemical markers: application to HPLC measurements of phytoplankton. Marine Ecology Progress Series, 144: 144–265.CrossRefGoogle Scholar
  20. Mendes C R, Sá C, Vitorino J, Borges C, Garcia V M T, Brotas V. 2011. Spatial distribution of phytoplankton assemblages in the Nazaré submarine canyon region (Portugal): HPLCCHEMTAX approach. Journal of Marine Systems, 87 (1): 90–101.CrossRefGoogle Scholar
  21. Meyer-Harms B, Pollehne F. 1998. Alloxanthin in Dinophysis norvegica (Dinophysiales, Dinophyceae) from the Baltic Sea. Journal of Phycology, 34 (2): 280–285.CrossRefGoogle Scholar
  22. 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 Sensing of Environment, 112 (8): 3 366–3 375.CrossRefGoogle Scholar
  23. Not F, Latasa M, Marie D, Cariou T, Vaulot D, Simon N. 2004. A single species, Micromonas pusilla (Prasinophyceae), dominates the eukaryotic picoplankton in the Western English Channel. Applied and Environmental Microbiology, 70 (7): 4 064–4 072.CrossRefGoogle Scholar
  24. 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. BioScience, 53 (10): 953–964.CrossRefGoogle Scholar
  25. Peng Y H, Chen H R, Wang Z D, Pan M X, Gao H L. 2001. Quality assessment of the neighboring sea waters before and after the operation of the nuclear power station at Daya Bay. Marine Science Bulletin, 20 (3): 45–52. (in Chinese with English abstract)Google Scholar
  26. Peng Y, Yu Z G, Deng C M, Liu S X, Zhen Y. 2010. Spatialtemporal distribution of phytoplankton pigments in relation to nutrient status in Jiaozhou Bay, China. Estuarine, Coastal and Shelf Science, 89 (3): 234–244.CrossRefGoogle Scholar
  27. Rajaneesh K M, Mitbavkar S. 2013. Factors controlling the temporal and spatial variations in Synechococcus abundance in a monsoonal estuary. Marine Environmental Research, 92: 92–133.Google Scholar
  28. Redfield A C. 1963. The influence of organisms on the composition of sea-water. In: Hill M N ed. The Sea. John Wiley, New York, USA. p.26-77.Google Scholar
  29. Rodriguez F, Varela M, Zapata M. 2002. Phytoplankton assemblages in the Gerlache and Bransfield Straits (Antarctic Peninsula) determined by light microscopy and CHEMTAX analysis of HPLC pigment data. Deep Sea Research Part II: Topical Studies in Oceanography, 49 (4–5): 723–747.CrossRefGoogle Scholar
  30. Schlüter L, Møhlenberg F, Havskum H, Larsen S. 2000. The use of phytoplankton pigments for identifying and quantifying phytoplankton groups in coastal areas: testing the influence of light and nutrients on pigment/chlorophyll a ratios. Marine Ecology Progress Series, 192: 49–63.CrossRefGoogle Scholar
  31. Song X Y, Huang L M, Zhang J L, Huang X P, Zhang J B, Yin J Q, Tan Y H, Liu S. 2004. Variation of phytoplankton biomass and primary production in Daya Bay during spring and summer. Marine Pollution Bulletin, 49 (11-12): 1 036–1 044.CrossRefGoogle Scholar
  32. Sun C C, Wang Y S, Song S, Fengqin Z. 2006. Dynamic analysis of phytoplankton community characteristics in Daya Bay, China. Acta Ecologica Sinica, 26 (12): 3 948–3 958.CrossRefGoogle Scholar
  33. Sun C C, Wang Y S, Wu M L, Dong J D, Wang Y T, Sun F L, Zhang Y Y. 2011. Seasonal variation of water quality and phytoplankton response patterns in Daya Bay, China. International Journal of Environmental Research and Public Health, 8 (7): 2 951–2 966.CrossRefGoogle Scholar
  34. Ter Braak C J, Smilauer P. 2002. CANOCO reference manual and CanoDraw for Windows user’s guide: software for canonical community ordination (version 4.5). www. Scholar
  35. Uitz J, Claustre H, Morel A, Hooker S B. 2006. Vertical distribution of phytoplankton communities in open ocean: an assessment based on surface chlorophyll. Journal of Geophysical Research: Oceans, 111 (C8): C08005.CrossRefGoogle Scholar
  36. Vidussi F, Claustre 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. Journal of Geophysical Research: Oceans, 106 (C9): 19 939–19 956.CrossRefGoogle Scholar
  37. Wang L, Huang B Q, Liu X, Xiao W P. 2015. The modification and optimizing of the CHEMTAX running in the South China Sea. Acta Oceanologica Sinica, 34 (2): 124–131.CrossRefGoogle Scholar
  38. Wang Y S, Lou Z P, Sun C C, Sun S. 2008. Ecological environment changes in Daya Bay, China, from 1982 to 2004. Marine Pollution Bulletin, 56 (11): 1 871–1 879.CrossRefGoogle Scholar
  39. Wang Y S, Lou Z P, Sun C C, Wu M L, Han S H. 2006a. Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002. Oceanologia, 48 (2): 193–211.Google Scholar
  40. Wang Y S, Wang Z D, Huang L M. 2004. Changes in the ecological environment of Daya Bay and the trends in recent 20 years. Journal of Tropical Oceanography, 23 (5): 85–95. (in Chinese with English abstract)Google Scholar
  41. Wang Z H, Liang W B, Shao J. 2016. Seasonal changes of phytoplamkton community in Daya Bay, South China Sea, between 2011 and 2012. Marine Sciences, 40 (3): 53–58. (in Chinese with English abstract)Google Scholar
  42. Wang Z H, Qi Y Z, Chen J F, Xu N, Yang Y F. 2006b. Phytoplankton abundance, community structure and nutrients in cultural areas of Daya Bay, South China Sea. Journal of Marine Systems, 62 (1–2): 85–94.CrossRefGoogle Scholar
  43. Wang Z H, Zhao J G, Zhang Y J, Cao Y. 2009. Phytoplankton community structure and environmental parameters in aquaculture areas of Daya Bay, South China Sea. Journal of Environmental Sciences, 21 (9): 1 268–1 275.CrossRefGoogle Scholar
  44. Wei H, Sun J, Moll A, Zhao L. 2004. Phytoplankton dynamics in the Bohai Sea-observations and modelling. Journal of Marine Systems, 44 (3–4): 233–251.CrossRefGoogle Scholar
  45. Wright S W, Ishikawa A, Marchant H J, Davidson A T, van den Enden R L, Nash G V. 2009. Composition and significance of picophytoplankton in Antarctic waters. Polar Biology, 32 (5): 797–808.CrossRefGoogle Scholar
  46. Wright S W, Jeffrey S W. 2006. Pigment markers for phytoplankton production. In: Volkman J K ed. Marine Organic Matter: Biomarkers, Isotopes and DNA. Springer, Berlin Heidelberg, Germany. p.71-104.Google Scholar
  47. Wright S W, Thomas D P, Marchant H J, Higgins H W, Mackey M D, Mackey D J. 1996. Analysis of phytoplankton of the Australian sector of the Southern Ocean: comparisons of microscopy and size frequency data with interpretations of pigment HPLC data using the ‘CHEMTAX’ matrix factorisation program. Marine Ecology Progress Series, 144: 144–285.CrossRefGoogle Scholar
  48. Wu M L, Wang Y S, Wang Y T, Yin J P, Dong J D, Jiang Z Y, Sun F L. 2017. Scenarios of nutrient alterations and responses of phytoplankton in a changing Daya Bay, South China Sea. Journal of Marine Systems, 165: 1–12.CrossRefGoogle Scholar
  49. Yu J, Tang D L, Oh I S, Yao L J. 2007. Response of harmful algal blooms to environmental changes in Daya Bay, China. Terrestrial, Atmospheric and Ocean ic Science s, 18 (5): 1 011–1 027.Google Scholar
  50. Zapata M, Rodríguez F, Garrido J L. 2000. Separation of chlorophylls and carotenoids from marine phytoplankton: a new HPLC method using a reversed phase C 8 column and pyridine-containing mobile phases. Marine Ecology Progress Series, 195: 285–298.CrossRefGoogle Scholar
  51. Zhou M J, Shen Z L, Yu R C. 2008. Responses of a coastal phytoplankton community to increased nutrient input from the Changjiang (Yangtze) River. Continental Shelf Research, 28 (12): 1 483–1 489.CrossRefGoogle Scholar

Copyright information

© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Longhua Wang (王龙花)
    • 1
    • 2
  • Linjian Ou (欧林坚)
    • 3
  • Kaixuan Huang (黄凯旋)
    • 3
  • Chao Chai (柴超)
    • 2
  • Zhaohui Wang (王朝晖)
    • 3
  • Xiaomin Wang (王晓敏)
    • 3
  • Tao Jiang (江涛)
    • 1
    • 3
    Email author
  1. 1.Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture, Yellow Sea Fisheries Research InstituteChinese Academy of Fishery SciencesQingdaoChina
  2. 2.Qingdao Engineering Research Center for Rural EnvironmentQingdao Agricultural UniversityQingdaoChina
  3. 3.College of Life Science and TechnologyJinan UniversityGuangzhouChina

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