IHB OpenIR  > 水环境工程研究中心  > 期刊论文
A niche model to predict Microcystis bloom decline in Chaohu Lake, China
Wang Zhicong1,2; Li Zhongjie1; Li Dunhai1; Li, DH (reprint author), Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China.
2012-07-01
Source PublicationCHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN0254-4059
Volume30Issue:4Pages:587-594
AbstractCyanobacterial blooms occur frequently in lakes due to eutrophication. Although a number of models have been proposed to forecast algal blooms, a good and applicable method is still lacking. This study explored a simple and effective mathematical-ecological model to evaluate the growth status and predict the population dynamics of Microcystis blooms. In this study, phytoplankton were collected and identified from 8 sampling sites in Chaohu Lake every month from July to October, 2010. The niche breadth and niche overlap of common species were calculated using standard equations, and the potential relative growth rates of Microcystis were calculated as a weighted-value of niche overlap. In July, the potential relative growth rate was 2.79 (a.u., arbitrary units) but then rapidly declined in the following months to -3.99 a.u. in September. A significant correlation (R =0.998, P < 0.01) was found in the model between the net-increase in biomass of Microcystis in the field and the predicted values calculated by the niche model, we concluded that the niche model is suitable for forecasting the dynamics of Microcystis blooms. Redundancy analysis indicated that decreases in water temperature, dissolved oxygen and total dissolved phosphorus might be major factors underlying bloom decline. Based on the theory of community succession being caused by resource competition, the growth and decline of blooms can be predicted from a community structure. This may provide a basis for early warning and control of algal blooms.; Cyanobacterial blooms occur frequently in lakes due to eutrophication. Although a number of models have been proposed to forecast algal blooms, a good and applicable method is still lacking. This study explored a simple and effective mathematical-ecological model to evaluate the growth status and predict the population dynamics of Microcystis blooms. In this study, phytoplankton were collected and identified from 8 sampling sites in Chaohu Lake every month from July to October, 2010. The niche breadth and niche overlap of common species were calculated using standard equations, and the potential relative growth rates of Microcystis were calculated as a weighted-value of niche overlap. In July, the potential relative growth rate was 2.79 (a.u., arbitrary units) but then rapidly declined in the following months to -3.99 a.u. in September. A significant correlation (R =0.998, P < 0.01) was found in the model between the net-increase in biomass of Microcystis in the field and the predicted values calculated by the niche model, we concluded that the niche model is suitable for forecasting the dynamics of Microcystis blooms. Redundancy analysis indicated that decreases in water temperature, dissolved oxygen and total dissolved phosphorus might be major factors underlying bloom decline. Based on the theory of community succession being caused by resource competition, the growth and decline of blooms can be predicted from a community structure. This may provide a basis for early warning and control of algal blooms.
SubtypeArticle
KeywordMicrocystis Bloom Niche Breadth Niche Overlap Predictive Model Chaohu Lake
Department[Wang Zhicong; Li Zhongjie; Li Dunhai] Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China; [Wang Zhicong] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
DOI10.1007/s00343-012-1254-0
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
Funding OrganizationNational Basic Research Program of China (973 Program)[2008CB418002]; National Major Programs of Water Body Pollution Control and Remediation[2009ZX07106-001, 2009ZX07104-005]; National Natural Science Foundation of China[30830025] ; National Basic Research Program of China (973 Program)[2008CB418002]; National Major Programs of Water Body Pollution Control and Remediation[2009ZX07106-001, 2009ZX07104-005]; National Natural Science Foundation of China[30830025] ; National Basic Research Program of China (973 Program)[2008CB418002]; National Major Programs of Water Body Pollution Control and Remediation[2009ZX07106-001, 2009ZX07104-005]; National Natural Science Foundation of China[30830025] ; National Basic Research Program of China (973 Program)[2008CB418002]; National Major Programs of Water Body Pollution Control and Remediation[2009ZX07106-001, 2009ZX07104-005]; National Natural Science Foundation of China[30830025]
Indexed BySCI
Language英语
WOS Research AreaMarine & Freshwater Biology ; Oceanography
WOS SubjectLimnology ; Oceanography
WOS IDWOS:000305906700010
WOS KeywordTAIHU LAKE ; PHOTOSYNTHETIC RESPONSE ; AERUGINOSA ; OVERLAP ; BREADTH ; BAY ; CYANOBACTERIUM ; PHOSPHORUS ; DYNAMICS ; GROWTH
Funding OrganizationNational Basic Research Program of China (973 Program)[2008CB418002]; National Major Programs of Water Body Pollution Control and Remediation[2009ZX07106-001, 2009ZX07104-005]; National Natural Science Foundation of China[30830025] ; National Basic Research Program of China (973 Program)[2008CB418002]; National Major Programs of Water Body Pollution Control and Remediation[2009ZX07106-001, 2009ZX07104-005]; National Natural Science Foundation of China[30830025] ; National Basic Research Program of China (973 Program)[2008CB418002]; National Major Programs of Water Body Pollution Control and Remediation[2009ZX07106-001, 2009ZX07104-005]; National Natural Science Foundation of China[30830025] ; National Basic Research Program of China (973 Program)[2008CB418002]; National Major Programs of Water Body Pollution Control and Remediation[2009ZX07106-001, 2009ZX07104-005]; National Natural Science Foundation of China[30830025]
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/16969
Collection水环境工程研究中心_期刊论文
Corresponding AuthorLi, DH (reprint author), Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China.
Affiliation1.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Wang Zhicong,Li Zhongjie,Li Dunhai,et al. A niche model to predict Microcystis bloom decline in Chaohu Lake, China[J]. CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2012,30(4):587-594.
APA Wang Zhicong,Li Zhongjie,Li Dunhai,&Li, DH .(2012).A niche model to predict Microcystis bloom decline in Chaohu Lake, China.CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,30(4),587-594.
MLA Wang Zhicong,et al."A niche model to predict Microcystis bloom decline in Chaohu Lake, China".CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY 30.4(2012):587-594.
Files in This Item:
File Name/Size DocType Version Access License
A niche model to pre(539KB) 开放获取--View Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang Zhicong]'s Articles
[Li Zhongjie]'s Articles
[Li Dunhai]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang Zhicong]'s Articles
[Li Zhongjie]'s Articles
[Li Dunhai]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang Zhicong]'s Articles
[Li Zhongjie]'s Articles
[Li Dunhai]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: A niche model to predict Microcystis bloom decline in Chaohu Lake, China.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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