Long-term MODIS observations of cyanobacterial dynamics in Lake Taihu: Responses to nutrient enrichment and meteorological factors
We developed and validated an empirical model for estimating chlorophyll a concentrations (Chla) in Lake Taihu to generate a long-term Chla and algal bloom area time series from MODIS-Aqua observations for 2003 to 2013. Then, based on the long-term time series data, we quantified the responses of cy...
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| Published in | Scientific reports Vol. 7; no. 1; p. 40326 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
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Nature Publishing Group
11.01.2017
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| Abstract | We developed and validated an empirical model for estimating chlorophyll a concentrations (Chla) in Lake Taihu to generate a long-term Chla and algal bloom area time series from MODIS-Aqua observations for 2003 to 2013. Then, based on the long-term time series data, we quantified the responses of cyanobacterial dynamics to nutrient enrichment and climatic conditions. Chla showed substantial spatial and temporal variability. In addition, the annual mean cyanobacterial surface bloom area exhibited an increasing trend across the entire lake from 2003 to 2013, with the exception of 2006 and 2007. High air temperature and phosphorus levels in the spring can prompt cyanobacterial growth, and low wind speeds and low atmospheric pressure levels favor cyanobacterial surface bloom formation. The sensitivity of cyanobacterial dynamics to climatic conditions was found to vary by region. Our results indicate that temperature is the most important factor controlling Chla inter-annual variability followed by phosphorus and that air pressure is the most important factor controlling cyanobacterial surface bloom formation followed by wind speeds in Lake Taihu. |
|---|---|
| AbstractList | We developed and validated an empirical model for estimating chlorophyll
a
concentrations (Chl
a
) in Lake Taihu to generate a long-term Chl
a
and algal bloom area time series from MODIS-Aqua observations for 2003 to 2013. Then, based on the long-term time series data, we quantified the responses of cyanobacterial dynamics to nutrient enrichment and climatic conditions. Chl
a
showed substantial spatial and temporal variability. In addition, the annual mean cyanobacterial surface bloom area exhibited an increasing trend across the entire lake from 2003 to 2013, with the exception of 2006 and 2007. High air temperature and phosphorus levels in the spring can prompt cyanobacterial growth, and low wind speeds and low atmospheric pressure levels favor cyanobacterial surface bloom formation. The sensitivity of cyanobacterial dynamics to climatic conditions was found to vary by region. Our results indicate that temperature is the most important factor controlling Chl
a
inter-annual variability followed by phosphorus and that air pressure is the most important factor controlling cyanobacterial surface bloom formation followed by wind speeds in Lake Taihu. Abstract We developed and validated an empirical model for estimating chlorophyll a concentrations (Chl a ) in Lake Taihu to generate a long-term Chl a and algal bloom area time series from MODIS-Aqua observations for 2003 to 2013. Then, based on the long-term time series data, we quantified the responses of cyanobacterial dynamics to nutrient enrichment and climatic conditions. Chl a showed substantial spatial and temporal variability. In addition, the annual mean cyanobacterial surface bloom area exhibited an increasing trend across the entire lake from 2003 to 2013, with the exception of 2006 and 2007. High air temperature and phosphorus levels in the spring can prompt cyanobacterial growth, and low wind speeds and low atmospheric pressure levels favor cyanobacterial surface bloom formation. The sensitivity of cyanobacterial dynamics to climatic conditions was found to vary by region. Our results indicate that temperature is the most important factor controlling Chl a inter-annual variability followed by phosphorus and that air pressure is the most important factor controlling cyanobacterial surface bloom formation followed by wind speeds in Lake Taihu. We developed and validated an empirical model for estimating chlorophyll a concentrations (Chla) in Lake Taihu to generate a long-term Chla and algal bloom area time series from MODIS-Aqua observations for 2003 to 2013. Then, based on the long-term time series data, we quantified the responses of cyanobacterial dynamics to nutrient enrichment and climatic conditions. Chla showed substantial spatial and temporal variability. In addition, the annual mean cyanobacterial surface bloom area exhibited an increasing trend across the entire lake from 2003 to 2013, with the exception of 2006 and 2007. High air temperature and phosphorus levels in the spring can prompt cyanobacterial growth, and low wind speeds and low atmospheric pressure levels favor cyanobacterial surface bloom formation. The sensitivity of cyanobacterial dynamics to climatic conditions was found to vary by region. Our results indicate that temperature is the most important factor controlling Chla inter-annual variability followed by phosphorus and that air pressure is the most important factor controlling cyanobacterial surface bloom formation followed by wind speeds in Lake Taihu. |
| ArticleNumber | 40326 |
| Author | Qin, Boqiang Liu, Xiaohan Zhu, Guangwei Zhang, Yunlin Gao, Guang Zhou, Yongqiang Shi, Kun |
| Author_xml | – sequence: 1 givenname: Kun surname: Shi fullname: Shi, Kun organization: State key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration (SOA), People's Republic of China, Hangzhou 310012, China – sequence: 2 givenname: Yunlin surname: Zhang fullname: Zhang, Yunlin organization: Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China – sequence: 3 givenname: Yongqiang surname: Zhou fullname: Zhou, Yongqiang organization: University of Chinese Academy of Sciences, Beijing 100049, China – sequence: 4 givenname: Xiaohan surname: Liu fullname: Liu, Xiaohan organization: University of Chinese Academy of Sciences, Beijing 100049, China – sequence: 5 givenname: Guangwei surname: Zhu fullname: Zhu, Guangwei organization: Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China – sequence: 6 givenname: Boqiang surname: Qin fullname: Qin, Boqiang organization: Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China – sequence: 7 givenname: Guang surname: Gao fullname: Gao, Guang organization: Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28074871$$D View this record in MEDLINE/PubMed |
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| Snippet | We developed and validated an empirical model for estimating chlorophyll a concentrations (Chla) in Lake Taihu to generate a long-term Chla and algal bloom... Abstract We developed and validated an empirical model for estimating chlorophyll a concentrations (Chl a ) in Lake Taihu to generate a long-term Chl a and... We developed and validated an empirical model for estimating chlorophyll a concentrations (Chl a ) in Lake Taihu to generate a long-term Chl a and algal bloom... |
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| SubjectTerms | Air temperature Algae Atmospheric Pressure Calibration Chlorophyll Chlorophyll - metabolism Chlorophyll A Climatic conditions Cyanobacteria - metabolism Eutrophication Imaging, Three-Dimensional Lakes Lakes - microbiology Meteorological Concepts Models, Biological Nitrogen - analysis Nutrient enrichment Phosphorus Phosphorus - analysis Reproducibility of Results Seasons Spectrum Analysis - methods Temperature Temperature effects Time series Wind |
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| Title | Long-term MODIS observations of cyanobacterial dynamics in Lake Taihu: Responses to nutrient enrichment and meteorological factors |
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