Use the predictive models to explore the key factors affecting phytoplankton succession in Lake Erhai, China
文献类型:期刊论文
作者 | Zhu, Rong1,2; Wang, Huan1,2; Chen, Jun1; Shen, Hong1; Deng, Xuwei1 |
刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH |
出版日期 | 2018 |
卷号 | 25期号:2页码:1283-1293 |
ISSN号 | 0944-1344 |
关键词 | Water bloom Phytoplankton succession Predictedmodels Lake Erhai |
DOI | 10.1007/s11356-017-0512-2 |
英文摘要 | Increasing algae in Lake Erhai has resulted in frequent blooms that have not only led to water ecosystem degeneration but also seriously influenced the quality of the water supply and caused extensive damage to the local people, as the lake is a water resource for Dali City. Exploring the key factors affecting phytoplankton succession and developing predictive models with easily detectable parameters for phytoplankton have been proven to be practical ways to improve water quality. To this end, a systematic survey focused on phytoplankton succession was conducted over 2 years in Lake Erhai. The data from the first study year were used to develop predictive models, and the data from the second year were used for model verification. The seasonal succession of phytoplankton in Lake Erhai was obvious. The dominant groups were Cyanobacteria in the summer, Chlorophyta in the autumn and Bacillariophyta in the winter. The developments and verification of predictive models indicated that compared to phytoplankton biomass, phytoplankton density is more effective for estimating phytoplankton variation in Lake Erhai. CCA (canonical correlation analysis) indicated that TN (total nitrogen), TP (total phosphorus), DO (dissolved oxygen), SD (Secchi depth), Cond (conductivity), T (water temperature), and ORP (oxidation reduction potential) had significant influences (p < 0.05) on the phytoplankton community. The CCA of the dominant species found that Microcystis was significantly influenced by T. The dominant Chlorophyta, Psephonema aenigmaticum and Mougeotia, were significantly influenced by TN. All results indicated that TN and T were the two key factors driving phytoplankton succession in Lake Erhai. |
WOS关键词 | HARMFUL ALGAL BLOOMS ; CYANOBACTERIA DOMINANCE ; CLIMATE-CHANGE ; PHOSPHORUS LIMITATION ; GLOBAL EXPANSION ; FRESH-WATER ; NITROGEN ; EUTROPHICATION ; COMMUNITY ; MICROCYSTIS |
资助项目 | National Key Research and Development Program of China[2017YFA0605201] ; State Key Laboratory of Freshwater Ecology and Biotechnology[2016FBZ08] ; Major Science and Technology Program for Water Pollution Control and Treatment[2012ZX07105-004] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | SPRINGER HEIDELBERG |
WOS记录号 | WOS:000419944100028 |
资助机构 | National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; 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National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; National Key Research and Development Program of China ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; State Key Laboratory of Freshwater Ecology and Biotechnology ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; Major Science and Technology Program for Water Pollution Control and Treatment ; 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源URL | [http://ir.ihb.ac.cn/handle/342005/29941] |
专题 | 水生生物研究所_淡水生态学研究中心_期刊论文 |
通讯作者 | Deng, Xuwei |
作者单位 | 1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Donghu Expt Stn Lake Ecosyst, Wuhan 430072, Hubei, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Zhu, Rong,Wang, Huan,Chen, Jun,et al. Use the predictive models to explore the key factors affecting phytoplankton succession in Lake Erhai, China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2018,25(2):1283-1293. |
APA | Zhu, Rong,Wang, Huan,Chen, Jun,Shen, Hong,&Deng, Xuwei.(2018).Use the predictive models to explore the key factors affecting phytoplankton succession in Lake Erhai, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,25(2),1283-1293. |
MLA | Zhu, Rong,et al."Use the predictive models to explore the key factors affecting phytoplankton succession in Lake Erhai, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 25.2(2018):1283-1293. |
入库方式: OAI收割
来源:水生生物研究所
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