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

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 successi...

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Bibliographic Details
Published in:Ecotoxicology (London) 2020-08, Vol.29 (6), p.751-761
Main Authors: Wu, Mei-Lin, Wang, Yu-Tu, Cheng, Hao, Sun, Fu-lin, Fei, Jiao, Sun, Cui-Ci, Yin, Jian-Ping, Zhao, Hui, Wang, You-Shao
Format: Article
Language:English
Subjects:
Autumn
Bacillariophyceae
Changing environments
Cruises
Cyanobacteria
Diatoms
Dinoflagellates
Dominant species
Earth and Environmental Science
Ecological succession
Ecology
Ecotoxicology
Environment
Environmental changes
Environmental factors
Environmental Management
Least squares
Limiting factors
Marine microorganisms
Monsoons
Nuclear energy
Nutrients
Phosphates
Phytoplankton
Plankton
Seasons
Temperature
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Summary: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 (PO 4 -P) limiting during the southwest monsoon to Si (SiO 3 -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.
ISSN:0963-9292
1573-3017
DOI:10.1007/s10646-020-02188-2