Phytoplankton Community Structure and its Relationship with Environmental Factors In Shenquan Bay

DOI: https://doi.org/10.62517/jlsa.202507305

Author(s)

Yingyi Ye*

Affiliation(s)

Guangzhou Luhai Ecological Technology Co., Ltd., Guangzhou, Guangdong, China *Corresponding Author.

Abstract

In order to understand the relationship between phytoplankton community structure and environmental factors in the Shenquan Bay, and the potential indication of phytoplankton community structure to the current situation of the marine environment, the phytoplankton species and dominant species composition, abundance distribution, community diversity distribution and environmental physical and chemical factors were investigated and analyzed in the spring of April 2023, and the systematic cluster analysis and Pearson correlation analysis methods were used. The results showed that 93 species of phytoplankton belonging to 24 families and 4 phyla were identified, and the dominant species in spring belonged to Bacillariophyta The phytoplankton abundance ranged from 4.14×105 cells/m3 to 1.43×107 cells/m3 in the Shenquan Bay, and the horizontal distribution characteristics showed a decreasing trend from the coastal area to the offshore area. Pearson correlation analysis showed that the nutrient and salinity changes caused by terrestrial input of rivers had an important influence on the phytoplankton community structure and abundance distribution in the sea area. The diversity index (H') and the results of hierarchical cluster analysis can be used as reference indicators to characterize the differences in environmental status between different waters to a certain extent.

Keywords

Phytoplankton; Community Structure; Environmental Factors; Cluster Analysis; Correlation Analysis

References

[1]Guangling Huang, Jing Qiu, Zhifa Luo, et al. Study on the distribution characteristics and migration trend of surface sediments on the top of Shenquan Bay in eastern Guangdong [J]. Guangdong Water Conservancy and Hydropower, 2021, (10): 59-64. ( In Chinese) [2]Weihong Lin, Chengxi Wu. Study on the impact and transformation of marine construction on fishermen under the strategy of maritime power - A case study of Huilai, Guangdong [J]. Pearl River Shipping, 2023, (14): 61-5. ( In Chinese) [3]S Q Li, L Chen, Y A Liu. Actors, themes, approaches, and imbalances in Blue Economy cooperation: A systematic review and future prospects [J]. Ocean & Coastal Management, 2025, 267. [4]Ghinaglia L Troccoli, J A Herrera-Silveira, F A Comín. Structural variations of phytoplankton in the coastal seas of Yucatan, Mexico [J]. Hydrobiologia, 2004, 519(1): 85-102. [5]C E Shannon. A mathematical theory of communication [J]. The Bell System Technical Journal, 1948, 27(3): 379-423. [6]R Levins. An Introduction To Mathematical Ecology [J]. Evolution, 1970, 24(2): 482-. [7]M RAMóN. Information theory in ecology [Z]. La teoría de la información en Ecología. Real Academia de Ciencias y Artes de Barcelona. 1973 [8]S Zhu, Z Dong, G Fu, et al. Distribution and dynamics of niche and interspecific association of dominant phytoplankton species in the Feiyun River basin, Zhejiang, China [J]. Journal of Oceanology and Limnology, 2024, 42(4): 1157-72. [9]Xin Peng, Xiuren Ning, Jun Sun, et al.Response of phytoplankton growth to nutrients in the northern South China Sea [J]. Acta Ecologica Sinica, 2006, 26(12): 3959-68. ( In Chinese) [10]Zhixin Ke, Liangmin Huang, Yehui Tan, et al. Species composition and abundance distribution of phytoplankton in the northern South China Sea in the summer of 2007 [J]. Journal of Tropical Oceanography, 2011,30(01): 131-43. ( In Chinese) [11]Huajian Lin, Shannan Xu, Yong Liu, et al. Ecological characteristics of phytoplankton community in the coastal waters of western Guangdong [J]. Marine Science, 2016, 40(07): 73-82. ( In Chinese) [12]Nansheng Chen, and Mengjia Zhang. Research progress on biodiversity of marine phytoplankton and red tide species in China ( III ) : South China Sea [J].Ocean and marsh, 2021,52 (02) : 385-435. ( In Chinese) [13]M L Wu, Y S Wang, Y T Wang, et al. Influence of environmental changes on phytoplankton pattern in Daya Bay, South China Sea [J]. Revista De Biologia Marina Y Oceanografia, 2014, 49(2): 323-37. [14]Cuici Sun, Youshao Wang, Song Sun, et al. Phytoplankton community characteristics in Daya Bay [J]. Acta Ecologica Sinica, 2006, (12): 3948-58. ( In Chinese) [15]Yan Wang, Rui Nie, Yang Li, et al., Species diversity and geographical distribution of Chaetoceros along the coast of Guangdong [J].Progress in marine science, 2010,28 (03): 342-52. ( In Chinese) [16]Meixia Duan, Hengxiang Li, Yan Yan. Phytoplankton community and its seasonal variation in Jieshi Bay and adjacent waters [J].Ecological Sciences, 2014,33 (05): 865-71. ( In Chinese) [17]Gen Haining Zhu, Yuming Cai, Zilin Liu, et al. Study on the species composition and abundance distribution of phytoplankton in the South China Sea [J]. Oceanographic Journal ( Chinese version ), 2003, (S2): 8-23. ( In Chinese) [18]S Magnussen, T J B Boyle. Estimating sample size for inference about the Shannon-Weaver and the Simpson indices of species diversity [J]. Forest Ecology and Management, 1995, 78(1): 71-84.