中国科学院水生生物研究所机构知识库
Advanced  
IHB OpenIR  > 淡水生态学研究中心  > 期刊论文
题名: Use the predictive models to explore the key factors affecting phytoplankton succession in Lake Erhai, China
作者: Zhu, Rong1, 2; Wang, Huan1, 2; Chen, Jun1; Shen, Hong1; Deng, Xuwei1
关键词: Water bloom ; Phytoplankton succession ; Predictedmodels ; Lake Erhai
刊名: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
发表日期: 2018
DOI: 10.1007/s11356-017-0512-2
卷: 25, 期:2, 页:1283-1293
收录类别: SCI ; ISTP
文章类型: Article
WOS标题词: Science & Technology ; Life Sciences & Biomedicine
类目[WOS]: Environmental Sciences
研究领域[WOS]: Environmental Sciences & Ecology
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.
关键词[WOS]: HARMFUL ALGAL BLOOMS ; CYANOBACTERIA DOMINANCE ; CLIMATE-CHANGE ; PHOSPHORUS LIMITATION ; GLOBAL EXPANSION ; FRESH-WATER ; NITROGEN ; EUTROPHICATION ; COMMUNITY ; MICROCYSTIS
语种: 英语
项目资助者: 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记录号: WOS:000419944100028
ISSN号: 0944-1344
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/342005/50645
Appears in Collections:淡水生态学研究中心_期刊论文

Files in This Item:

There are no files associated with this item.


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
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhu, Rong]'s Articles
[Wang, Huan]'s Articles
[Chen, Jun]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhu, Rong]‘s Articles
[Wang, Huan]‘s Articles
[Chen, Jun]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2018  中国科学院水生生物研究所 - Feedback
Powered by CSpace