Issue |
Ann. Limnol. - Int. J. Lim.
Volume 55, 2019
|
|
---|---|---|
Article Number | 17 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/limn/2019014 | |
Published online | 29 August 2019 |
Research Article
Phytoplankton functional groups response to environmental parameters in Muling River basin of northeast China
1
College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, No. 26 Hexing Road, Xiangfang District, Heilongjiang Province, PR China
2
College of Animal Husbandry & Veterinary Medicine, Jinzhou Medical University, Jinzhou 121001, No. 48 Renmin Street, Guta District, Liaoning Province, PR China
3
The Water Ecology Laboratory, Hydrology and Water Resources Survey Station in Harbin, Harbin 150028, No. 3001 Chuangxinyi Road, Songbei District, Heilongjiang Province, PR China
4
Heilongjiang Provincial Forestry Information Center, Harbin 150001, No. 10 Hengshan Road, Xiangfang District, Heilongjiang Province, PR China
* Corresponding author: mch007@163.com/china.yhx@163.com
Received:
22
February
2019
Accepted:
10
July
2019
The present study was carried out in the biggest tributary of Ussuri River of boundary between China and Russia. The Muling River basin has undergone a long-term dredging works, and waterbody became seriously turbid. The succession of phytoplankton functional groups succession and environmental factors in the river were sampled in 2015. We totally identified 83 species, belonging to 17 functional groups which 5 were predominant, including group F, M, MP, P and Y. The seasonal succession of phytoplankton functional groups was M/P-F/MP/P-MP/P. Results of Spearman correlation analysis and canonical correspondence analysis (CCA) revealed that phytoplankton functional groups were mainly influenced by nutrient concentrations and light availability including total nitrogen (TN), ammonium nitrogen (NH4+–N), nitrate nitrogen (NO3−–N), N:P ratio (N:P), water depth (D) and transparency (SD) in the basin.
Key words: Phytoplankton / functional groups / environmental parameters / canonical correspondence analysis
© EDP Sciences, 2019
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