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题名: A niche model to predict Microcystis bloom decline in Chaohu Lake, China
作者: Wang Zhicong1, 2; Li Zhongjie1; Li Dunhai1
通讯作者: Li, DH (reprint author), Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China.
关键词: Microcystis bloom ; niche breadth ; niche overlap ; predictive model ; Chaohu Lake
刊名: CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
发表日期: 2012-07-01
DOI: 10.1007/s00343-012-1254-0
卷: 30, 期:4, 页:587-594
收录类别: SCI
文章类型: Article
部门归属: [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
WOS标题词: Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences
资助者: 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]
类目[WOS]: Limnology ; Oceanography
研究领域[WOS]: Marine & Freshwater Biology ; Oceanography
摘要: 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.
英文摘要: 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.
关键词[WOS]: TAIHU LAKE ; PHOTOSYNTHETIC RESPONSE ; AERUGINOSA ; OVERLAP ; BREADTH ; BAY ; CYANOBACTERIUM ; PHOSPHORUS ; DYNAMICS ; GROWTH
语种: 英语
WOS记录号: WOS:000305906700010
ISSN号: 0254-4059
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ihb.ac.cn/handle/342005/16969
Appears in Collections:水环境工程研究中心_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China

Recommended Citation:
Wang Zhicong; Li Zhongjie; Li Dunhai.A niche model to predict Microcystis bloom decline in Chaohu Lake, China,CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2012,30(4):587-594
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