Dynamics and drivers of phytoplankton in Lake Hulun
Author:
Affiliation:

1.Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018 , P.R.China ;2.Water Resources Protection and Utilization Key Laboratory, Inner Mongolia Agricultural University, Hohhot 010018 , P.R.China ;3.Inner Mongolia Ningcheng County Discipline Inspection and Supervision Work Guarantee Center, Chifeng 024200 , P.R.China

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Similar Literature
  • |
  • Cited by
  • |
  • Appendix
  • |
  • Comments
    Abstract:

    Algal blooms caused by excessive growth and reproduction of phytoplankton are becoming frequently in lakes, threatening their health and safety of ecological systems. In recent years, the coverage area of cyanobacterial blooms in Lake Hulun has been expanding. In 2022, the most severe cyanobacterial blooms almost covered the surface of Lake Hulun. A sampling program was conducted in the spring, summer and autumn of 2022, concerning the variables of phytoplankton species, cell density, biomass and several water quality indicators in the surface, middle and bottom water of the lake. A total of 193 species of phytoplankton were identified belonging to 113 genera and 8 phyla, with 14 dominant species. The species composition was of the green algae-diatom-cyanobacteria type. The number of phytoplankton species in spring and autumn was basically the same, that was twice of the minimum level in summer. The cell density in summer was the highest, which was one order of magnitude higher than that in spring and autumn. The phytoplankton biomass in spring, summer and autumn was 686, 510 and 166 mg/L, respectively. The Shannon-Wiener diversity index was the highest in spring. The Margalef richness index was the highest in summer. The Pielou evenness index was the highest in spring. The characteristics and seasonal differences of phytoplankton community were mainly caused by lake water environment conditions and meteorological factors. The correlation analysis revealed that the main influencing factors were water temperature, total nitrogen, total phosphorus, pH, dissolved oxygen, air temperature, evaporation and wind speed.

    Reference
    Related
    Cited by
Get Citation

李兴月,张生,刘禹,卢宗福,史小红,杨朝霞,王殿飞,赵耘溪.呼伦湖浮游植物演变特征及影响因素[J]. Journal of Lake Sciences,2025,37(1):50-60.

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:April 14,2024
  • Revised:June 27,2024
  • Adopted:
  • Online: January 07,2025
  • Published: January 06,2025
You are the first    Visitors
Address:No.299, Chuangzhan Road, Qilin Street, Jiangning District, Nanjing, China    Postal Code:211135
Phone:025-86882041;86882040     Fax:025-57714759     Email:jlakes@niglas.ac.cn
Copyright © Lake Science, Nanjing Institute of Geography and Lake Sciences, Chinese Academy of Sciences:All Rights Reserved
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Su Gongwang Security No. 11040202500063

     苏ICP备09024011号-2