Spatial Distribution Patterns of Phytoplankton and Their Relationship with Environmental Factors in the Jinjiang River, China

Author:

Zhong Yanping123,Cai Mingjiang14,Cui Jin1,Chen Xinping1,Wang Shuhua123,Chen Zhenguo23,Zhang Shanshan14

Affiliation:

1. Fujian Province Key Laboratory for the Development of Bioactive Material from Marine Algae, College of Resources and Environmental Sciences, Quanzhou Normal University, Quanzhou 362000, China

2. Guangdong Provincial Engineering Research Center of Intelligent Low-Carbon Pollution Prevention and Digital Technology, South China Normal University, Guangzhou 510006, China

3. SCNU (NAN’AN) Green and Low-Carbon Innovation Center, Nan’an SCNU Institute of Green and Low-Carbon Research, Quanzhou 362300, China

4. Estuarine and Coastal Zone Research Institute, Quanzhou Normal University, Quanzhou 362000, China

Abstract

Our study aims to investigate the water quality and distribution patterns of phytoplankton communities in the Jinjiang River Basin in Quanzhou, as well as their relationship with environmental factors. We integrated data from the national water quality databases of the two main tributaries of the West and East Jinjiang Rivers between 2020 and 2023, supplemented by field surveys. Redundancy analysis was used to explore the effect of environmental factors on phytoplankton communities. Our findings revealed that the West Jinjiang River experienced a significant influence from excessive fertilizer use in tea cultivation, leading to an increase in TN concentrations compared to the East Jinjiang River. The abundance of phytoplankton in the Jinjiang River Basin was 105 cells·L−1, with phytoplankton being dominated by Chlorophyta, Cyanphyta, and diatoms, accounting for an average of 50%, 20%, and 19% of the total phytoplankton abundance, respectively. Redundancy analysis indicated that temperature, pH, and nutrient concentrations were important factors influencing the phytoplankton communities. With increasing temperature and nutrients concentrations, the abundance of Chlorophyta and Dinophyta significantly increased. This study provides a solid foundation for the regular “health diagnosis” of crucial rivers and lakes in Quanzhou and supports the establishment of a health guarantee system for rivers and lakes.

Funder

Natural Science Foundation of Fujian province, China

Research Fund Program of Guangdong Provincial Engineering Research Center of Intelligent Low-Carbon Pollution Prevention and Digital Technology/ SCNU (NAN’AN) Green and Low-Carbon Innovation Center

Publisher

MDPI AG

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