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World's Largest Macroalgal Blooms Altered Phytoplankton Biomass in Summer in the Yellow Sea: Satellite Observations
Xing, QG; Hu, CM; Tang, DL; Tian, LQ; Tang, SL; Wang, XH; Lou, MJ; Gao, XL; Xing, QG (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, 17 Chunhui Rd, Laishan Dist 264003, Yantai, Peoples R China. qgxing@yic.ac.cn; huc@usf.edu; lingzis@scsio.ac.cn; tianliqiao@whu.edu.cn; sltang2009@gmail.com; x.wang@adfa.edu.au; mjlou@yic.ac.cn; xlgao@yic.ac.cn
2015-09-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume7Issue:9Pages:12297-12313
Contribution Rank[Xing, Qianguo; Lou, Mingjing; Gao, Xuelu] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Laishan Dist 264003, Yantai, Peoples R China; [Xing, Qianguo; Wang, Xiao Hua] Univ New S Wales, Australian Def Force Acad, Sch Phys Environm & Math Sci, Sino Australian Res Ctr Coastal Management, Canberra, ACT 2600, Australia; [Hu, Chuanmin] Univ S Florida, Coll Marine Sci, St Petersburg, FL 33701 USA; [Tang, Danling; Tang, Shilin] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Tian, Liqiao] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
AbstractSince 2008, the world's largest blooms of the green macroalgae, Ulva prolifera, have occurred every summer in the Yellow Sea, posing the question of whether these macroalgal blooms (MABs) have changed the phytoplankton biomass due to their perturbations of nutrient dynamics. We have attempted to address this question using long-term Moderate Resolution Imaging Spectroradiometer (MODIS) observations. A new MODIS monthly time-series of chlorophyll-a concentrations (Chl-a, an index of phytoplankton biomass) was generated after removing the macroalgae-contaminated pixels that were characterized by unexpectedly high values in the daily Chl-a products. Compared with Chl-a during July of 2002-2006 (the pre-MAB period), Chl-a during July of 2008-2012 (the MAB period) exhibited significant increases in the offshore Yellow Sea waters (rich in macroalgae), with mean Chl-a increased by 98% from 0.64 mu g/L to 1.26 mu g/L in the study region. In contrast, no significant Chl-a changes were observed during June between the two periods. After analyzing sea surface temperature, photosynthetically available radiation, and nutrient availability, we speculate that the observed Chl-a changes are due to nutrient competition between macroalgae and phytoplankton: during the MAB period, the fast-growing macroalgae would uptake the increased nutrients from the origin of Jiangsu Shoal; thus, the nutrients available to phytoplankton were reduced, leading to no apparent increases in biomass in the offshore Yellow Sea in June.; Since 2008, the world's largest blooms of the green macroalgae, Ulva prolifera, have occurred every summer in the Yellow Sea, posing the question of whether these macroalgal blooms (MABs) have changed the phytoplankton biomass due to their perturbations of nutrient dynamics. We have attempted to address this question using long-term Moderate Resolution Imaging Spectroradiometer (MODIS) observations. A new MODIS monthly time-series of chlorophyll-a concentrations (Chl-a, an index of phytoplankton biomass) was generated after removing the macroalgae-contaminated pixels that were characterized by unexpectedly high values in the daily Chl-a products. Compared with Chl-a during July of 2002-2006 (the pre-MAB period), Chl-a during July of 2008-2012 (the MAB period) exhibited significant increases in the offshore Yellow Sea waters (rich in macroalgae), with mean Chl-a increased by 98% from 0.64 mu g/L to 1.26 mu g/L in the study region. In contrast, no significant Chl-a changes were observed during June between the two periods. After analyzing sea surface temperature, photosynthetically available radiation, and nutrient availability, we speculate that the observed Chl-a changes are due to nutrient competition between macroalgae and phytoplankton: during the MAB period, the fast-growing macroalgae would uptake the increased nutrients from the origin of Jiangsu Shoal; thus, the nutrients available to phytoplankton were reduced, leading to no apparent increases in biomass in the offshore Yellow Sea in June.
KeywordMacroalgal Blooms Ulva Prolifera Phytoplankton Nutrient Competition Chlorophyll-a Ocean Color Modis Yellow Sea
Department海岸带信息集成与综合管理实验室
DOI10.3390/rs70912297
Funding OrganizationChinese Academy of Sciences(XDA11020403 ; CAS/SAFEA International Partnership Program for Creative Research Teams ; INTER-GOVERNMENTAL S&T COOPERATION (China-Romania) ; University of South Florida ; XDA11020102 ; KZCX2-YW-Q07-01)
Indexed BySCI
WOS KeywordEAST CHINA SEA ; COASTAL WATERS ; GREEN TIDE ; CHLOROPHYLL-A ; ALGAL BLOOMS ; BOHAI SEA ; COMPETITION ; CALIFORNIA ; BAY
SubtypeArticle
Language英语
WOS Research AreaRemote Sensing
WOS IDWOS:000362511400061
Citation statistics
Cited Times:23[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/9533
Collection海岸带信息集成与战略规划研究中心
Corresponding AuthorXing, QG (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, 17 Chunhui Rd, Laishan Dist 264003, Yantai, Peoples R China. qgxing@yic.ac.cn; huc@usf.edu; lingzis@scsio.ac.cn; tianliqiao@whu.edu.cn; sltang2009@gmail.com; x.wang@adfa.edu.au; mjlou@yic.ac.cn; xlgao@yic.ac.cn
Recommended Citation
GB/T 7714
Xing, QG,Hu, CM,Tang, DL,et al. World's Largest Macroalgal Blooms Altered Phytoplankton Biomass in Summer in the Yellow Sea: Satellite Observations[J]. REMOTE SENSING,2015,7(9):12297-12313.
APA Xing, QG.,Hu, CM.,Tang, DL.,Tian, LQ.,Tang, SL.,...&xlgao@yic.ac.cn.(2015).World's Largest Macroalgal Blooms Altered Phytoplankton Biomass in Summer in the Yellow Sea: Satellite Observations.REMOTE SENSING,7(9),12297-12313.
MLA Xing, QG,et al."World's Largest Macroalgal Blooms Altered Phytoplankton Biomass in Summer in the Yellow Sea: Satellite Observations".REMOTE SENSING 7.9(2015):12297-12313.
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