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Seasonal and spatial variations in the phytoplankton community and their correlation with environmental factors in the Jinjiang River Estuary in Quanzhou, China.
Wu, Yanmei; Guo, Peiyong; Su, Haitao; Zhang, Yuxuan; Deng, Jun; Wang, Meixian; Sun, Yinshi; Li, Yanqi; Zhang, Xiaoyan.
Afiliación
  • Wu Y; Department of Environmental Science and Engineering, College of Chemical Engineering, Huaqiao University, Xiamen, 361021, Fujian, China.
  • Guo P; Institute of Environmental and Resources Technology, Huaqiao University, Xiamen, 361021, China.
  • Su H; Department of Environmental Science and Engineering, College of Chemical Engineering, Huaqiao University, Xiamen, 361021, Fujian, China. peiyongguo@163.com.
  • Zhang Y; Institute of Environmental and Resources Technology, Huaqiao University, Xiamen, 361021, China. peiyongguo@163.com.
  • Deng J; Department of Environmental Science and Engineering, College of Chemical Engineering, Huaqiao University, Xiamen, 361021, Fujian, China.
  • Wang M; Institute of Environmental and Resources Technology, Huaqiao University, Xiamen, 361021, China.
  • Sun Y; Department of Environmental Science and Engineering, College of Chemical Engineering, Huaqiao University, Xiamen, 361021, Fujian, China.
  • Li Y; Institute of Environmental and Resources Technology, Huaqiao University, Xiamen, 361021, China.
  • Zhang X; Department of Environmental Science and Engineering, College of Chemical Engineering, Huaqiao University, Xiamen, 361021, Fujian, China.
Environ Monit Assess ; 194(1): 44, 2021 Dec 27.
Article en En | MEDLINE | ID: mdl-34957530
ABSTRACT
The seasonal and spatial variation in the phytoplankton community structure and the environmental variables were investigated in December (the dry season) 2016 and July (the rainy season) 2017 in the Jinjiang River Estuary, China. We identified a total of 138 species of phytoplankton, which were mainly Chlorophyta, Bacillariophyta, and Cryptophyta in the dry season; however, in the rainy season, only Bacillariophyta were found. In the Jinjiang River Estuary, the species evenness and the biodiversity index were higher in the rainy season and that the species diversity was higher in the dry season. Redundancy analysis (RDA) revealed that the dominant species were statistically related to many of the environmental variables, including the water temperature (WT), pH, salinity (Sal), dissolved oxygen (DO), total phosphorus (TP), and total nitrogen (TN). Among the variables, the Sal, DO, TP, and TN had a significant influence on the dominant species distribution, and the WT and pH also affected the dominant species distribution to some extent.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fitoplancton / Ríos Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fitoplancton / Ríos Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2021 Tipo del documento: Article País de afiliación: China