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

被引:0
|
作者
Mei-Lin Wu
Yu-Tu Wang
Hao Cheng
Fu-lin Sun
Jiao Fei
Cui-Ci Sun
Jian-Ping Yin
Hui Zhao
You-Shao Wang
机构
[1] Chinese Academy of Sciences,State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology
[2] Chinese Academy of Sciences,Innovation Academy of South China Sea Ecology and Environmental Engineering
[3] Chinese Academy of Sciences,Daya Bay Marine Biology Research Station
[4] Guangdong Ocean University,College of Chemistry and Environmental Science
来源
Ecotoxicology | 2020年 / 29卷
关键词
Nutrients; Phytoplankton; Diatoms; Dinoflagellates; Southeast Asian Monsoon; Partial least square regression;
D O I
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中图分类号
学科分类号
摘要
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.
引用
收藏
页码:751 / 761
页数:10
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