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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。