Volume 19 Issue 5
Oct.  2023
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SUN Ye, LIU Yong, LI Chunhou, WU Peng, LI Yafang, SHU Liming, LIN Lin, XIAO Yayuan, TANG Guanglong. Community characteristics and influencing factors of macrobenthos in Pearl River Estuary[J]. South China Fisheries Science, 2023, 19(5): 39-47. DOI: 10.12131/20230048
Citation: SUN Ye, LIU Yong, LI Chunhou, WU Peng, LI Yafang, SHU Liming, LIN Lin, XIAO Yayuan, TANG Guanglong. Community characteristics and influencing factors of macrobenthos in Pearl River Estuary[J]. South China Fisheries Science, 2023, 19(5): 39-47. DOI: 10.12131/20230048
shu

Community characteristics and influencing factors of macrobenthos in Pearl River Estuary

  • 1.

    College of Fisheries, Zhejiang Ocean University, Zhoushan 316022, China

  • 2.

    South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences/Key Laboratory of South China Sea Fishery Resources Development & Utilization, Ministry of Agriculture and Rural Affairs/Observation and Research Station of Pearl River Estuary Ecosystem of Guangdong Province/Guangdong Provincial Key Laboratory of Fishery Ecological Environment, Guangzhou 510300, China

  • 3.

    Observation and Research Station of Xisha Island Reef Fishery Ecosystem of Hainan Province/Key Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province/Sanya Tropical Fisheries Research Institute, Sanya 572018, China

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  • Received Date: March 15, 2023
  • Revised Date: April 24, 2023
  • Accepted Date: May 03, 2023
  • Available Online: July 30, 2023
    Graphical Abstract
    • Abstract

  • The Pearl River Estuary is the largest estuary in Guangdong Province, and plays an important role in China's estuarine ecosystem. In order to explore the seasonal variation of macrobenthic community, we conducted four surveys in Pearl River Estuary waters in summer 2020 (August), winter 2019 (December), spring 2021 (March) and autumn 2021 (October). The species composition, biomass and diversity of the collected macrobenthic fauna were analyzed by multivariate statistical analysis. A total of 138 benthic species were recorded. The number of macrobenthic species  was higher in spring (45) than that in the other three seasons. The highest density was observed in spring and the lowest in summer; the highest biomass was obsered in winter and the lowest in autumn. Amphiopholis laevis was the dominant species in spring, summer and autumn. One-way analysis of variance (ANOVA) shows that the changes of Margalef richness index (D), Shannon index (H') and Pielou evenness index (J') were all significantly different in different seasons (P<0.05), and the Pearson correlation analysis shows that the diversity of macrobenthic fauna was significantly correlated with pH, suspended solids, chemical oxygen demand (COD) and other environmental factors. The results indicate that the seasonal variation of macrobenthic community results from the combined effect of multiple environmental factors. Thus, it is necessary to strengthen the long-term monitoring and protection of biodiversity in this area.

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