Contributions of meteorology to the phenology of cyanobacterial blooms: Implications for future climate change

被引:178
作者
Zhang, Min [1 ]
Duan, Hongtao [1 ]
Shi, Xiaoli [1 ]
Yu, Yang [1 ]
Kong, Fanxiang [1 ]
机构
[1] Chinese Acad Sci, State Key Lab Lake Sci & Environm, Nanjing Inst Geog & Limnol, Nanjing 210008, Jiangsu, Peoples R China
基金
美国国家科学基金会;
关键词
Climate change; Cyanobacterial blooms; Taihu; Satellite image; Temperature; LAKE TAIHU; MICROCYSTIS-AERUGINOSA; PHYTOPLANKTON; SHALLOW; CHINA; LIGHT; WIND; TEMPERATURE; DOMINANCE; SEDIMENTS;
D O I
10.1016/j.watres.2011.11.013
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Cyanobacterial blooms are often a result of eutrophication. Recently, however, their expansion has also been found to be associated with changes in climate. To elucidate the effects of climatic variables on the expansion of cyanobacterial blooms in Taihu, China, we analyzed the relationships between climatic variables and bloom events which were retrieved by satellite images. We then assessed the contribution of each climate variable to the phenology of blooms using multiple regression models. Our study demonstrates that retrieving ecological information from satellite images is meritorious for large-scale and long-term ecological research in freshwater ecosystems. Our results show that the phenological changes of blooms at an inter-annual scale are strongly linked to climate in Taihu during the past 23 yr. Cyanobacterial blooms occur earlier and last longer with the increase of temperature, sunshine hours, and global radiation and the decrease of wind speed. Furthermore, the duration increases when the daily averages of maximum, mean, and minimum temperature each exceed 20.3 degrees C, 16.7 degrees C, and 13.7 degrees C, respectively. Among these factors, sunshine hours and wind speed are the primary contributors to the onset of the blooms, explaining 84.6% of their variability over the past 23 yr. These factors are also good predictors of the variability in the duration of annual blooms and determined 58.9% of the variability in this parameter. Our results indicate that when nutrients are in sufficiently high quantities to sustain the formation of cyanobacterial blooms, climatic variables become crucial in predicting cyanobacterial bloom events. Climate changes should be considered when we evaluate how much the amount of nutrients should be reduced in Taihu for lake management. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:442 / 452
页数:11
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