The key factors on the composition of phytoplankton functional groups in different watersheds in the Huanghe River basin

Jing DONG; Feihu WANG; Shuwen ZHANG; Huatao YUAN; Xiaofei GAO; Jingxiao ZHANG; Xuejun LI

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The key factors on the composition of phytoplankton functional groups in different watersheds in the Huanghe River basin

Ecology | Updated：2024-12-24

- The key factors on the composition of phytoplankton functional groups in different watersheds in the Huanghe River basin
- Journal of Oceanology and Limnology Vol. 42, Issue 6, Pages: 1909-1927(2024)
- Affiliations：
  
  College of Fisheries, Henan Normal University, Xinxiang453007, China
- Author bio：
  
  xjli@htu.cn
- Funds：
- DOI：
  CLC：
- Received：13 July 2023，
  
  Online First：04 March 2024，
  
  Published：01 November 2024
- Accepted：
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DONG Jing,WANG Feihu,ZHANG Shuwen,et al.The key factors on the composition of phytoplankton functional groups in different watersheds in the Huanghe River basin[J].Journal of Oceanology and Limnology,2024,42(06):1909-1927.
DOI：

DONG Jing,WANG Feihu,ZHANG Shuwen,et al.The key factors on the composition of phytoplankton functional groups in different watersheds in the Huanghe River basin[J].Journal of Oceanology and Limnology,2024,42(06):1909-1927. DOI：

摘要

Abstract

To understand the distribution of phytoplankton functional groups (PFGs) and key factors on their compositions in different watersheds of the Huanghe (Yellow) River basin

25 river sites and 25 lake-reservoirs sites were selected. The contents of nephelometric turbidity (NTU)

total nitrogen (TN)

and total phosphorus (TP) were significantly higher in rivers than that in lakes or reservoirs

whereas the pH and COD

(chemical oxygen demand or potassium permanganate index) were lower. Results show that

27 PFGs

namely

assemblages A

XPh

and Y

were identified. Additionally

ANOSIM correlation analysis demonstrated significant differences in PFG composition between the riverine and lake-reservoir sections in the Huanghe River basin. In the riverine watersheds

the group MP was dominant

while assemblages B and J were prevalent in lakes and reservoirs. The Mantel correlation tests and RDA analysis showed that environmental variables

such as NTU

water temperature (WT)

conductivity (Cond)

and TP

were key driving factors of shaping the dominant PFGs of the study area. Using the Venn diagram based on variation partitioning analysis

PFGs were mainly influenced by WT and TP in lake-reservoir sites

while in the river sites were affected mainly by geo-climatic variables. This study helps understanding the PFGs in river ecosystems

and unraveling the key driving factors in different watersheds

which shall be important for the protection and management of entire Huanghe River basin.

关键词

Keywords

references

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