

FOLLOWUS
1.College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
2.CSIRO Environment, Private Bag 5, Wembley WA 6913, Australia
3.Department of Agricultural and Biological Engineering, Indian River Research and Education Center, University of Florida, Fort Pierce 34945, USA
4.Jiangxi Provincial Key Laboratory of Hydrology-Water Resources and Water Environment, Nanchang Institute of Technology, Nanchang 330099, China
zcdong@hhu.edu.cn
收稿:2023-08-17,
网络首发:2023-11-04,
纸质出版:2024-07-01
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Distribution and dynamics of niche and interspecific association of dominant phytoplankton species in the Feiyun River basin, Zhejiang, China[J]. 海洋湖沼学报(英文), 2024,42(4):1157-1172.
ZHU Shengnan,DONG Zengchuan,FU Guobin,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(04):1157-1172.
Distribution and dynamics of niche and interspecific association of dominant phytoplankton species in the Feiyun River basin, Zhejiang, China[J]. 海洋湖沼学报(英文), 2024,42(4):1157-1172. DOI:
ZHU Shengnan,DONG Zengchuan,FU Guobin,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(04):1157-1172. DOI:
To investigate the dominant species and interspecific association in the phytoplankton community of the Feiyun River basin in Zhejiang Province
East China
the main stream and the Shanxi-Zhaoshandu Reservoir in the downstream were chosen as the study area
for which 22 sampling sites were designated. Sampling was conducted in September 2021
January
May
and July 2022. Phytoplankton species were identified from both quantitative samples and in-vivo observations. Phytoplankton was quantified by direct counting. Results show that there were 98 species belonging to 6
phyla and 78 genera. In addition
to clarify the niches of the dominant phytoplankton species and their interspecific association
the dominance index was calculated
and a comprehensive analysis was conducted including niche width
niche overlap value
ecological response rate
overall association
chi-square test
and the stability. The phytoplankton community exhibited characteristics of a Cyanobacteria-Chlorophyta-Diatom type community
showing higher diversity in spring and lower diversity in summer. Among 11 dominants phytoplankton species from 3 phyla
both frequency and dominance degree varied seasonally
of which
Microcystis
sp.
was the dominant species in Spring
Autumn
and Winter. The niche widths of the dominant species ranged from 0.234 to 0.933
and were categorized into three groups. The niche overlap values of the 11 dominant species ranged from 0.359 to 0.959
exhibiting significant seasonal differences—highest in winter followed by autumn
spring
and summer in turn. The overall correlation among dominant species in all four seasons revealed a non-significant negative association
resulting in an unstable community structure. A significant portion (84.2%) of species pairs displayed positive associations
suggesting a successional pattern where Diatoms dominated while other dominant species shared resources and space. Despite this pattern
stability measurements indicated that the dominant species community remained unstable. Therefore
careful monitoring is recommended for potential water environment issues arising from abnormal proliferation of dominant species in the watershed during winter. This research built a theoretical foundation with a data support to the early warning of eutrophication and provided a reference for water resources management in similar watersheds along the eastern coast of China.
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