Contributions of meteorology to the phenology of cyanobacterial blooms: implications for future climate change. Zhang, M., Duan, H., Shi, X., Yu, Y., & Kong, F. Water research, 2012. ![Contributions of meteorology to the phenology of cyanobacterial blooms: implications for future climate change. [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper abstract bibtex 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 °C, 16.7 °C, and 13.7 °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.
@article{
title = {Contributions of meteorology to the phenology of cyanobacterial blooms: implications for future climate change.},
type = {article},
year = {2012},
identifiers = {[object Object]},
keywords = {China,Climate Change,Cyanobacteria,Cyanobacteria: growth & development,Cyanobacteria: physiology,Environmental Monitoring,Environmental Monitoring: methods,Eutrophication,Lakes,Lakes: microbiology,Meteorology,Regression Analysis,Seasons,Spacecraft,Time Factors},
id = {4b0c8c9e-8626-3d4b-a151-fdcdc5310c48},
created = {2015-08-06T12:54:04.000Z},
file_attached = {true},
profile_id = {91538c08-3b5d-3921-bd15-9ad795eaea9f},
group_id = {b108759b-0280-344d-9e5b-98166a793de0},
last_modified = {2015-08-06T12:54:04.000Z},
read = {false},
starred = {false},
authored = {false},
confirmed = {false},
hidden = {false},
abstract = {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 °C, 16.7 °C, and 13.7 °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.},
bibtype = {article},
author = {Zhang, Min and Duan, Hongtao and Shi, Xiaoli and Yu, Yang and Kong, Fanxiang},
journal = {Water research}
}
Downloads: 0
{"_id":"ubnsEXqNKGPczhAZb","bibbaseid":"zhang-duan-shi-yu-kong-contributionsofmeteorologytothephenologyofcyanobacterialbloomsimplicationsforfutureclimatechange-2012","downloads":0,"creationDate":"2015-09-18T08:47:44.452Z","title":"Contributions of meteorology to the phenology of cyanobacterial blooms: implications for future climate change.","author_short":["Zhang, M.","Duan, H.","Shi, X.","Yu, Y.","Kong, F."],"year":2012,"bibtype":"article","biburl":null,"bibdata":{"title":"Contributions of meteorology to the phenology of cyanobacterial blooms: implications for future climate change.","type":"article","year":"2012","identifiers":"[object Object]","keywords":"China,Climate Change,Cyanobacteria,Cyanobacteria: growth & development,Cyanobacteria: physiology,Environmental Monitoring,Environmental Monitoring: methods,Eutrophication,Lakes,Lakes: microbiology,Meteorology,Regression Analysis,Seasons,Spacecraft,Time Factors","id":"4b0c8c9e-8626-3d4b-a151-fdcdc5310c48","created":"2015-08-06T12:54:04.000Z","file_attached":"true","profile_id":"91538c08-3b5d-3921-bd15-9ad795eaea9f","group_id":"b108759b-0280-344d-9e5b-98166a793de0","last_modified":"2015-08-06T12:54:04.000Z","read":false,"starred":false,"authored":false,"confirmed":false,"hidden":false,"abstract":"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 °C, 16.7 °C, and 13.7 °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.","bibtype":"article","author":"Zhang, Min and Duan, Hongtao and Shi, Xiaoli and Yu, Yang and Kong, Fanxiang","journal":"Water research","bibtex":"@article{\n title = {Contributions of meteorology to the phenology of cyanobacterial blooms: implications for future climate change.},\n type = {article},\n year = {2012},\n identifiers = {[object Object]},\n keywords = {China,Climate Change,Cyanobacteria,Cyanobacteria: growth & development,Cyanobacteria: physiology,Environmental Monitoring,Environmental Monitoring: methods,Eutrophication,Lakes,Lakes: microbiology,Meteorology,Regression Analysis,Seasons,Spacecraft,Time Factors},\n id = {4b0c8c9e-8626-3d4b-a151-fdcdc5310c48},\n created = {2015-08-06T12:54:04.000Z},\n file_attached = {true},\n profile_id = {91538c08-3b5d-3921-bd15-9ad795eaea9f},\n group_id = {b108759b-0280-344d-9e5b-98166a793de0},\n last_modified = {2015-08-06T12:54:04.000Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n abstract = {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 °C, 16.7 °C, and 13.7 °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.},\n bibtype = {article},\n author = {Zhang, Min and Duan, Hongtao and Shi, Xiaoli and Yu, Yang and Kong, Fanxiang},\n journal = {Water research}\n}","author_short":["Zhang, M.","Duan, H.","Shi, X.","Yu, Y.","Kong, F."],"urls":{"Paper":"http://bibbase.org/service/mendeley/91538c08-3b5d-3921-bd15-9ad795eaea9f/file/59346a0d-befc-6aef-7572-246799afefb0/2012-Contributions_of_meteorology_to_the_phenology_of_cyanobacterial_blooms_implications_for_future_climate_change..pdf.pdf"},"bibbaseid":"zhang-duan-shi-yu-kong-contributionsofmeteorologytothephenologyofcyanobacterialbloomsimplicationsforfutureclimatechange-2012","role":"author","keyword":["China","Climate Change","Cyanobacteria","Cyanobacteria: growth & development","Cyanobacteria: physiology","Environmental Monitoring","Environmental Monitoring: methods","Eutrophication","Lakes","Lakes: microbiology","Meteorology","Regression Analysis","Seasons","Spacecraft","Time Factors"],"downloads":0},"search_terms":["contributions","meteorology","phenology","cyanobacterial","blooms","implications","future","climate","change","zhang","duan","shi","yu","kong"],"keywords":["china","climate change","cyanobacteria","cyanobacteria: growth & development","cyanobacteria: physiology","environmental monitoring","environmental monitoring: methods","eutrophication","lakes","lakes: microbiology","meteorology","regression analysis","seasons","spacecraft","time factors"],"authorIDs":[]}