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Phytoplankton community, structure and succession delineated by partial least square regression in Daya Bay, South China Sea

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Abstract

Daya Bay is facing the influence of human activities and nature changes, which result in phytoplankton adjusting to the changing environment. The data about environmental changes and phytoplankton were obtained from four seasonal cruises in 2013 in the bay. It is helpful to explore seasonal succession of phytoplankton driven by the determining environmental factors in this bay. Temperature is a significant indicator of season change. The limiting factor of phytoplankton growth totally changed from P (PO4-P) limiting during the southwest monsoon to Si (SiO3-Si) limiting during northeast monsoon. The order of diatoms and dinoflagellates was the dominant phytoplankton groups in Daya Bay. The dominant species included chain-forming diatoms (Skeletonema, Pseudo-nitzschia, Thalassionema, Chaetoceros and Rhizosolenia) were found all the year round and filamentous cyanobacteria (Trichodesmium) in spring and autumn. Partial least square regression (PLS) found that salinity, temperature and nutrients were important driving force for phytoplankton seasonal succession.

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Acknowledgements

This research was supported by the National Natural Science Foundation of China (No. 31971480, No. 41876126, No. U1901211, and No. 41430966), Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (No. GML2019ZD0305) and Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences (No. ISEE2019ZR02 and No. ISEE2018ZD02), the National Key Research and Development Program “Biological Habitat Repair Project” (No. 2016YFC1403003) and International Scientific & Technological Cooperation Project of Department of Education of Guangdong Province, China (No. 2015KGJHZ017). The authors thank all the staff of Daya Bay Marine Biology Research Station of Chinese Academy of Sciences for providing support and help, and the information system of China Ecosystem Research Network.

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Authors and Affiliations

  1. State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China

    Mei-Lin Wu, Yu-Tu Wang, Hao Cheng, Fu-lin Sun, Jiao Fei, Cui-Ci Sun, Jian-Ping Yin & You-Shao Wang

  2. Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou, 510301, China

    Mei-Lin Wu, Yu-Tu Wang, Hao Cheng, Fu-lin Sun, Jiao Fei, Cui-Ci Sun, Jian-Ping Yin & You-Shao Wang

  3. Daya Bay Marine Biology Research Station, Chinese Academy of Sciences, Shenzhen, 518121, China

    Yu-Tu Wang, Fu-lin Sun, Cui-Ci Sun & You-Shao Wang

  4. College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, 524088, China

    Hui Zhao

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  1. Mei-Lin Wu
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Correspondence to You-Shao Wang.

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Wu, ML., Wang, YT., Cheng, H. et al. Phytoplankton community, structure and succession delineated by partial least square regression in Daya Bay, South China Sea. Ecotoxicology 29, 751–761 (2020). https://doi.org/10.1007/s10646-020-02188-2

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