globalchange  > 气候变化事实与影响
DOI: 10.1016/j.watres.2019.01.017
Scopus ID: 2-s2.0-85060873975
Title:
Long-term variation of phytoplankton biomass and physiology in Taihu lake as observed via MODIS satellite
Author: Huang C.; Zhang Y.; Huang T.; Yang H.; Li Y.; Zhang Z.; He M.; Hu Z.; Song T.; Zhu A.-X.
Source Publication: Water Research
ISSN: 431354
Publishing Year: 2019
pages begin: 187
pages end: 199
Language: 英语
Keyword: Eutrophic lake ; Phytoplankton absorption coefficient ; Retrieval algorithms ; Satellite data
Scopus Keyword: Biomass ; Carbon ; Eutrophication ; Lakes ; Nutrients ; Physiology ; Radiometers ; Temperature ; Chlorophyll-a concentration ; Eutrophic lakes ; Phytoplankton absorptions ; Phytoplankton biomass ; Primary productivity ; Retrieval algorithms ; Satellite data ; Semi-analytical model ; Phytoplankton ; chlorophyll a ; dissolved organic matter ; nitrogen ; phosphorus ; absorption coefficient ; biomass ; chlorophyll a ; growth ; in situ measurement ; lacustrine environment ; long-term change ; low temperature ; MODIS ; physiology ; phytoplankton ; satellite data ; seasonal variation ; absorption ; algal bloom ; Article ; bay ; climate change ; coastal waters ; concentration (parameter) ; controlled study ; environmental temperature ; lake ; low temperature ; measurement ; microbial biomass ; nonhuman ; priority journal ; satellite imagery ; seasonal variation ; spring ; summer ; warming ; water absorption ; winter ; China ; Jiangsu ; Meiliang Bay ; Taihu Lake ; Zhushan Bay ; algae
English Abstract: Estimation of phytoplankton biomass (noted as phytoplankton carbon, C phyto ) and evaluation of phytoplankton physiology is central to the estimation of primary productivity and the carbon cycle. This issue has been widely considered in oceans but not in inland water. Here, we develop experiential and semi-analytical models, which validated by independent in situ measurement data, respectively, to derive C phyto and phytoplankton absorption coefficient at 675 nm (a ph (675)) from MODIS. The effects of nutrients and temperature on the seasonal variation of phytoplankton physiology were assessed through a novel proxy of C phyto to a ph (675) ratio (C phyto /a ph (675)) over the Lake Taihu, the third largest lake in China. Significant seasonal climatological cycles of C phyto , a ph (675) and C phyto /a ph (675) were observed in Lake Taihu, especially in Meiliang Bay and Zhushan Bay, where algal blooms occur frequently. The highest C phyto and a ph (675) values were observed in summer due to the growth of phytoplankton biomass and chlorophyll-a concentration. Lower values were observed in winter and spring, which are characterized by relatively high total nitrogen levels and low irradiance, owing to the low temperature astricts the algae growth. However, the C phyto /a ph (675) shows an opposite trend compared to C phyto and a ph (675), which have high values in winter and low values in summer. The analysis of C phyto , a ph (675) and C phyto /a ph (675) with total phosphorus (TP) levels and temperature indicates that TP are the main positive driver of the increase in C phyto and a ph (675) and negatively regulate C phyto /a ph (675). Warming promotes an increase in C phyto and a ph (675) and restricts C phyto /a ph (675) in summer. Biomass and nutrient levels are the primary drivers of the decrease of C phyto /a ph (675) in such a typical eutrophic lake. The results present some new findings compared to previous oceanic studies and expand our knowledge in the study of phytoplankton biomass and physiology in eutrophic lakes. © 2019 Elsevier Ltd
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被引频次[WOS]:1   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Identifier: http://119.78.100.158/handle/2HF3EXSE/121982
Appears in Collections:气候变化事实与影响

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Affiliation: Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, 210023, China; Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing, 210023, China; School of Geography Science, Nanjing Normal University, Nanjing, 210023, China; State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; Environmental Monitoring Center, Wuxi, 214000, China; Department of Geography, University of Wisconsin, Madison, WI 53706, United States

Recommended Citation:
Huang C.,Zhang Y.,Huang T.,et al. Long-term variation of phytoplankton biomass and physiology in Taihu lake as observed via MODIS satellite[J]. Water Research,2019-01-01
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