中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A niche model to predict Microcystis bloom decline in Chaohu Lake, China

文献类型:期刊论文

作者Wang Zhicong1,2; Li Zhongjie1; Li Dunhai1
刊名CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY
出版日期2012-07-01
卷号30期号:4页码:587-594
关键词Microcystis bloom niche breadth niche overlap predictive model Chaohu Lake
ISSN号0254-4059
通讯作者Li, DH (reprint author), Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China.
中文摘要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.
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.
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Physical Sciences
类目[WOS]Limnology ; Oceanography
研究领域[WOS]Marine & Freshwater Biology ; Oceanography
关键词[WOS]TAIHU LAKE ; PHOTOSYNTHETIC RESPONSE ; AERUGINOSA ; OVERLAP ; BREADTH ; BAY ; CYANOBACTERIUM ; PHOSPHORUS ; DYNAMICS ; GROWTH
收录类别SCI
资助信息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]
语种英语
WOS记录号WOS:000305906700010
公开日期2012-09-25
源URL[http://ir.ihb.ac.cn/handle/342005/16969]  
专题水生生物研究所_水环境工程研究中心_期刊论文
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
推荐引用方式
GB/T 7714
Wang Zhicong,Li Zhongjie,Li Dunhai. 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.(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.

入库方式: OAI收割

来源:水生生物研究所

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