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Microscopic view of phytoplankton along the Yangtze River

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Abstract

Phytoplankton play an important role in nutrient cycling and energy conversion. However, phytoplankton community is poorly understood in large river ecosystems. Based on the large-scale samplings conducted in spring and autumn of 2017, a systematic study has been made on seasonal and spatial distributions of phytoplankton community along the mainstream of the Yangtze River. As results, 6 phyla were identified and 59 phytoplankton species were detected using microscopy, including Bacillariophyta (29 species), Chlorophyta (13 species) and Cyanophyta (8 species) as the dominant group. Moreover, the density of phytoplankton was ranged 0.05 × 106−1.90 × 106 cells/L and the biomass was 0.01–1.01 mg/L, both reaching their maximum in the middle reach from Yichang to Wuhan. Significant seasonal difference of phytoplankton community was observed and spatial dissimilarity in spring was revealed. The cell abundance and biomass of phytoplankton could be fairly estimated by chlorophyll-a, and redundancy analysis indicated that water temperature, dissolved oxygen, biochemical oxygen demand, nitrite, and ammonia nitrogen were the most important explanatory environmental factors for phytoplankton compositions in the Yangtze River.

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References

  1. Litchman E. Resource competition and the ecological success of phytoplankton. In: Falkowski P G, Knoll A H, eds. Evolution of Primary Producers in the Sea. Cambridge: Academic Press, 2007. 351–375

    Google Scholar 

  2. Hou Z, Jiang Y, Liu Q, et al. Impacts of environmental variables on a phytoplankton community: A case study of the tributaries of a subtropical river, Southern China. Water, 2018, 10: 152

    Google Scholar 

  3. Cellamare M, Morin S, Coste M, et al. Ecological assessment of French Atlantic lakes based on phytoplankton, phytobenthos and macrophytes. Environ Monit Assess, 2012, 184: 4685–4708

    Google Scholar 

  4. Aufdenkampe A K, Mayorga E, Raymond P A, et al. Riverine coupling of biogeochemical cycles between land, oceans, and atmosphere. Front Ecol Environ, 2011, 9: 53–60

    Google Scholar 

  5. Barton A D, Dutkiewicz S, Flierl G, et al. Patterns of diversity in marine phytoplankton. Science, 2010, 327: 1509–1511

    Google Scholar 

  6. Tréguer P, Bowler C, Moriceau B, et al. Influence of diatom diversity on the ocean biological carbon pump. Nat Geosci, 2018, 11: 27–37

    Google Scholar 

  7. Rath A R, Mitbavkar S, Anil A C. Phytoplankton community structure in relation to environmental factors from the New Mangalore Port waters along the southwest coast of India. Environ Monit Assess, 2018, 190: 481

    Google Scholar 

  8. Yang Y, Hu R, Lin Q, et al. Spatial structure and β-diversity of phytoplankton in Tibetan Plateau lakes: Nestedness or replacement? Hydrobiologia, 2018, 808: 301–314

    Google Scholar 

  9. Kitner M, Poulícková A. Littoral diatoms as indicators for the eutrophication of shallow lakes. Hydrobiologia, 2003, 506–509: 519–524

    Google Scholar 

  10. Zhang M, Straile D, Chen F, et al. Dynamics and drivers of phytoplankton richness and composition along productivity gradient. Sci Total Environ, 2018, 625: 275–284

    Google Scholar 

  11. Soballe D M, Kimmel B L. A large-scale comparison of factors influencing phytoplankton abundance in rivers, lakes, and impoundments. Ecology, 1987, 68: 1943–1954

    Google Scholar 

  12. Arhonditsis G B, Stow C A, Paerl H W, et al. Delineation of the role of nutrient dynamics and hydrologic forcing on phytoplankton patterns along a freshwater-marine continuum. Ecol Model, 2007, 208: 230–246

    Google Scholar 

  13. Zhao W, Li Y, Jiao Y, et al. Spatial and temporal variations in environmental variables in relation to phytoplankton community structure in a eutrophic river-type reservoir. Water, 2017, 9: 754

    Google Scholar 

  14. Liu M D, Li P F, Zeng Z G, et al. The characteristic of phytoplankton community structure in Anqing section of the Yangtze River (in Chinese). Freshwater Fish, 2017, 47: 29–36

    Google Scholar 

  15. Wang Z, Zhao J, Zhang Y, et al. Phytoplankton community structure and environmental parameters in aquaculture areas of Daya Bay, South China Sea. J Environ Sci, 2009, 21: 1268–1275

    Google Scholar 

  16. Qu Y, Wu N, Guse B, et al. Riverine phytoplankton functional groups response to multiple stressors variously depending on hydrological periods. Ecol Indic, 2019, 101: 41–49

    Google Scholar 

  17. Wu B, Zhao D Y, Jia H Y, et al. Preliminary risk assessment of trace metal pollution in surface water from Yangtze River in Nanjing section, China. Bull Environ Contam Toxicol, 2009, 82: 405–409

    Google Scholar 

  18. Müller B, Berg M, Yao Z P, et al. How polluted is the Yangtze River? Water quality downstream from the Three Gorges Dam. Sci Total Environ, 2008, 402: 232–247

    Google Scholar 

  19. Liu H, Li W. Dissolved trace elements and heavy metals from the shallow lakes in the middle and lower reaches of the Yangtze River region, China. Environ Earth Sci, 2011, 62: 1503–1511

    Google Scholar 

  20. Yi Y, Yang Z, Zhang S. Ecological risk assessment of heavy metals in sediment and human health risk assessment of heavy metals in fishes in the middle and lower reaches of the Yangtze River basin. Environ Pollut, 2011, 159: 2575–2585

    Google Scholar 

  21. Li S, Meng W, Xie Y. Forecasting the amount of waste-sewage water discharged into the Yangtze River basin based on the optimal fractional order grey model. Int J Environ Res Public Health, 2018, 15: 20

    Google Scholar 

  22. Zhang Z S, Huang X F. Methods of Freshwater Plankton Research (in Chinese). Beijing: Science Press, 1991

    Google Scholar 

  23. Hu H J, Wei Y X. The Freshwater Algae of China: Systematics, Taxonomy and Ecology (in Chinese). Beijing: Science Press, 2006

    Google Scholar 

  24. Weng J Z, Xu H X. Atlas of Common Freshwater Algae in China (in Chinese). Shanghai: Shanghai Scientific and Technical Publishers, 2010

    Google Scholar 

  25. Chinese State Environmental Protection Administration. Water and Wastewater Monitoring Analysis Methods (Version 4) (in Chinese). Beijing: China Environmental Science Press, 2002

    Google Scholar 

  26. Fan B, Jia C. Visual framework for big data in d3.js. In: 2014 IEEE Workshop on Electronics, Computer and Applications. Ottawa: IEEE, 2014

    Google Scholar 

  27. Segata N, Izard J, Waldron L, et al. Metagenomic biomarker discovery and explanation. Genome Biol, 2011, 12: R60

    Google Scholar 

  28. Wu G, Xu Z. Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake. Ecol Model, 2011, 222: 1245–1252

    Google Scholar 

  29. Xue X M, Xu R, Zhang B R, et al. Current pollution status of Yangtze River and controlling measures. Int J Environ Waste Manage, 2008, 2: 267

    Google Scholar 

  30. Gao L, Li D, Zhang Y. Nutrients and particulate organic matter discharged by the Changjiang (Yangtze River): Seasonal variations and temporal trends. J Geophys Res, 2012, 117: G04001

    Google Scholar 

  31. Wei Y. Study of phytoplankton community in the channel from Dongting Lake to Changjiang River, China. Chin J Ocean Limnol, 2006, 24: 178–185

    Google Scholar 

  32. Zhu A, Hu J, Li S, et al. Phytoplankton diversity and water quality in the main stream and tributaries of Three Gorges Reservoir region of Yangtze River during dry seasons (in Chinese). J Lake Sci, 2013, 25: 378–385

    Google Scholar 

  33. Li S J, Fan Z H, Ren Y Q, et al. Annual characteristics of phytoplankton communities at Yichang to Chenglingji section in the middle reach of the Yangtze River (in Chinese). Resour Environ Yangtze Basin, 2012, 21: 62–68

    Google Scholar 

  34. Liu X, Li Y L, Liu B G, et al. Cyanobacteria in the complex riverconnected Poyang Lake: Horizontal distribution and transport. Hydrobiologia, 2016, 768: 95–110

    Google Scholar 

  35. Shen H L, Xu Y Y, Wang L, et al. Spatial and temporal variations of phytoplankton in Danjiangkou Reservoir and its affecting factors (in Chinese). Plant Sci J, 2011, 29: 683–690

    Google Scholar 

  36. Salmaso N, Naselli-Flores L, Padisak J. Impairing the largest and most productive forest on our planet: How do human activities impact phytoplankton? In: Salmaso N, Naselli-Flores L, Cerasino L, et al, eds. Phytoplankton responses to human impacts at different scales. Developments in Hydrobiology, Vol 221. Dordrecht: Springer, 2012. 375–384

    Google Scholar 

  37. Wu X H, Yin D C, Li C, et al. Analysis of factors influencing diatom blooms in the middle and lower Hanjiang River (in Chinese). J Hydroecol, 2017, 38: 19–26

    Google Scholar 

  38. Zhao Z, Mi T, Xia L, et al. Understanding the patterns and mechanisms of urban water ecosystem degradation: Phytoplankton community structure and water quality in the Qinhuai River, Nanjing city, China. Environ Sci Pollut Res, 2013, 20: 5003–5012

    Google Scholar 

  39. Dembowska E. Phytoplankton of shallow lakes in the Iławskie Lake District. Limnological Papers, 2008, 3: 19–31

    Google Scholar 

  40. Ayalew W, Akoma O. Seasonal variation of phytoplankton biomass in Lake Tana (Ethiopia). Tropical Freshwater Biol, 2009, 17: 21–31

    Google Scholar 

  41. Kagami M, Helmsing N R, van Donk E. Parasitic chytrids could promote copepod survival by mediating material transfer from inedible diatoms. Hydrobiologia, 2011, 659: 49–54

    Google Scholar 

  42. Lürling M, Eshetu F, Faassen E J, et al. Comparison of cyanobacterial and green algal growth rates at different temperatures. Freshwater Biol, 2013, 58: 552–559

    Google Scholar 

  43. Yang B, Jiang Y J, He W, et al. The tempo-spatial variations of phytoplankton diversities and their correlation with trophic state levels in a large eutrophic Chinese lake. Ecol Indic, 2016, 66: 153–162

    Google Scholar 

  44. Cole J J, Caraco N F, Peierls B L. Can phytoplankton maintaina positive carbon balance in a turbid, freshwater, tidal estuary? Limnol Oceanogr, 1992, 37: 1608–1617

    Google Scholar 

  45. Pesce S, Fajon C, Bardot C, et al. Longitudinal changes in microbial planktonic communities of a French river in relation to pesticide and nutrient inputs. Aquat Toxicol, 2008, 86: 352–360

    Google Scholar 

  46. Lange T R, Rada R G. Community dynamics of phytoplankton in a typical navigation pool in the Upper Mississippi River. Jour Iowa Acad Sci, 1993, 100: 21–27

    Google Scholar 

  47. Huff D R. Phytoplankton communities in Navigation Pool No. 7 of the Upper Mississippi River. Hydrobiologia, 1986, 136: 47–56

    Google Scholar 

  48. Sabater S, Artigas J, Durán C, et al. Longitudinal development of chlorophyll and phytoplankton assemblages in a regulated large river (the Ebro River). Sci Total Environ, 2008, 404: 196–206

    Google Scholar 

  49. New T, Xie Z. Impacts of large dams on riparian vegetation: Applying global experience to the case of China’s Three Gorges Dam. Biodivers Conserv, 2008, 17: 3149–3163

    Google Scholar 

  50. Stirbet A, Lazár D, Papageorgiou G C, et al. Chlorophyll a fluorescence in cyanobacteria: relation to photosynthesis. In: Mishra A K, Tiwari D N, Rai A N, eds. Cyanobacteria: From Basic Sciences to Applications. Cambridge: Academic Press, 2019. 79–130

    Google Scholar 

  51. Morin A, Lamoureux W, Busnarda J. Empirical models predicting primary productivity from chlorophyll a and water temperature for stream periphyton and lake and ocean phytoplankton. J North Am Benthological Soc, 1999, 18: 299–307

    Google Scholar 

  52. El-Serehy H A, Abdallah H S, Al-Misned F A, et al. Assessing water quality and classifying trophic status for scientifically based managing the water resources of the Lake Timsah, the lake with salinity stratification along the Suez Canal. Saudi J Biol Sci, 2018, 25: 1247–1256

    Google Scholar 

  53. Andersson A, Haecky P, Hagström Å. Effect of temperature and light on the growth of micro- nano- and pico-plankton: Impact on algal succession. Mar Biol, 1994, 120: 511–520

    Google Scholar 

  54. Deng J, Qin B, Paerl H W, et al. Effects of nutrients, temperature and their interactions on spring phytoplankton community succession in Lake Taihu, China. PLoS ONE, 2014, 9: e113960

    Google Scholar 

  55. Pulina S, Satta C T, Padedda B M, et al. Seasonal variations of phytoplankton size structure in relation to environmental variables in three Mediterranean shallow coastal lagoons. Estuar Coast Shelf Sci, 2018, 212: 95–104

    Google Scholar 

  56. Borsuah J F, Stoodley S, Storm D, et al. Development of a three-layer steady state vertical dissolved oxygen model in Grand Lake, Oklahoma. Nat Resour, 2018, 9: 448–467

    Google Scholar 

  57. Gupta A K, Gupta S K, Patil R S. Statistical analyses of coastal water quality for a port and harbour region in India. Environ Monit Assess, 2005, 102: 179–200

    Google Scholar 

  58. Jiang Y J, He W, Liu W X, et al. The seasonal and spatial variations of phytoplankton community and their correlation with environmental factors in a large eutrophic Chinese lake (Lake Chaohu). Ecol Indicators, 2014, 40: 58–67

    Google Scholar 

  59. Lopes M R M, Bicudo C E M, Ferragut M C. Short term spatial and temporal variation of phytoplankton in a shallow tropical oligotrophic reservoir, southeast Brazil. Hydrobiologia, 2005, 542: 235–247

    Google Scholar 

  60. Weyhenmeyer G A, Broberg N. Increasing algal biomass in Lake Vänern despite decreasing phosphorus concentrations: A lake-specific phenomenon? Aquat Ecosyst Health Manage, 2014, 17: 341–348

    Google Scholar 

  61. Salhi N, Zmerli Triki H, Molinero J C, et al. Seasonal variability of picophytoplankton under contrasting environments in northern Tunisian coasts, southwestern Mediterranean Sea. Mar Pollut Bull, 2018, 129: 866–874

    Google Scholar 

  62. Boyer J N, Dailey S K, Gibson P J, et al. The role of dissolved organic matter bioavailability in promoting phytoplankton blooms in Florida Bay. Hydrobiologia, 2006, 569: 71–85

    Google Scholar 

  63. Xu H, Paerl H W, Qin B, et al. Nitrogen and phosphorus inputs control phytoplankton growth in eutrophic Lake Taihu, China. Limnol Oceanogr, 2010, 55: 420–432

    Google Scholar 

  64. Pilkaitytė R, Razinkovas A. Seasonal changes in phytoplankton composition and nutrient limitation in a shallow Baltic lagoon. Boreal Environ Res, 2007, 12: 551–559

    Google Scholar 

  65. Anderson D M, Glibert P M, Burkholder J M. Harmful algal blooms and eutrophication: Nutrient sources, composition, and consequences. Estuaries, 2002, 25: 704–726

    Google Scholar 

  66. Dortch Q. The interaction between ammonium and nitrate uptake in phytoplankton. Mar Ecol Prog Ser, 1990, 61: 183–201

    Google Scholar 

  67. Rodríguez J, Tintoré J, Allen J T, et al. Mesoscale vertical motion and the size structure of phytoplankton in the ocean. Nature, 2001, 410: 360–363

    Google Scholar 

  68. Fraisse S, Bormans M, Lagadeuc Y. Morphofunctional traits reflect differences in phytoplankton community between rivers of contrasting flow regime. Aquat Ecol, 2013, 47: 315–327

    Google Scholar 

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Authors and Affiliations

  1. Key Laboratory of Water and Sediment Sciences, Ministry of Education, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China

    YuXin Liu, XuMing Xu, Ting Wang & JinRen Ni

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  1. YuXin Liu
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  2. XuMing Xu
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  3. Ting Wang
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Correspondence to JinRen Ni.

Additional information

This work was supported by the National Key Basic Research Program of China (Grant No. 2016YFC0402102) and the National Natural Science Foundation of China (Grant No. 51721006). Supports from the Changjiang Water Resources Commission during sample collection were also gratefully acknowledged.

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Liu, Y., Xu, X., Wang, T. et al. Microscopic view of phytoplankton along the Yangtze River. Sci. China Technol. Sci. 62, 1873–1884 (2019). https://doi.org/10.1007/s11431-019-9545-y

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