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Impact of nonlinear mesoscale eddy on phytoplankton distribution in the northern South China Sea
[Liu, Fenfen; Tang, Shilin; Chen, Chuqun] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Liu, Fenfen] Chinese Acad Sci, Grad Univ, Beijing 100101, Peoples R China; ffliu@scsio.ac.cn; sltang@scsio.ac.cn; cqchen@scsio.ac.cn
2013
Source PublicationJOURNAL OF MARINE SYSTEMS
ISSN0924-7963
Volume123Pages:33-40
AbstractApproximately thirteen years of mean sea level anomaly (MSLA) and chlorophyll (Chl) data in the northern South China Sea (NSCS) were analysed to investigate the influence of a nonlinear, mesoscale eddy on ecological and bio-geochemical processes. Over two thousand mesoscale eddies were identified and tracked using a new sea surface height-based method and approximately 40% of these eddies were nonlinear. A westward co-propagation of Chl and MSLA signals at a speed of approximately 0.07 m s(-1) was found to correspond well with the variability of Chl within cyclonic and anticyclonic eddies. The covariability relationships were different depending on the season. The results of a lagged cross correlation between MSLA and Chl, as well as Chl composite averaging within mesoscale eddies, showed that eddy advection dominates the Chl dipole structure within mesoscale eddies. This mechanism was further confirmed by the significant correlations of the west-to-east Chl difference with background Chl gradient (R = 0.32 for cyclonic eddies and R = -0.20 for anticyclonic eddies) and eddy scale (R = 033 for cyclonic eddies and R = -0.21 for anticyclonic eddies). Moreover, the strong correlation (0.44) between the in-to-out Chl difference and amplitude for the cyclonic eddy implied that eddy pumping contributes to the high Chl levels near the centre of cyclonic eddy. (C) 2013 Elsevier B.V. All rights reserved.
DepartmentLTO
KeywordNon Linearity Mesoscale Eddies Phytoplankton Spatial Variations
Subject AreaGeosciences, Multidisciplinary ; Marine & Freshwater Biology ; Oceanography
Funding OrganizationThe authors thank two anonymous reviewers for their constructive comments. The mean sea level anomaly and geostrophic current data used were obtained from the Archiving Validation and Interpretation of Satellite Data in Oceanography (http://www.aviso.oceanobs.com/). The satellite Chl data were obtained from the Ocean Color MEaSUREs project at UCSB. The research was supported by the National Natural Science Foundation of China (Nos. 41006111 and 41276182), the Innovation Group Program of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (No. LTOZZ1201), and the Public Science and Technology Research Funds'Ocean Projects (No. 201205040-5). ; The authors thank two anonymous reviewers for their constructive comments. The mean sea level anomaly and geostrophic current data used were obtained from the Archiving Validation and Interpretation of Satellite Data in Oceanography (http://www.aviso.oceanobs.com/). The satellite Chl data were obtained from the Ocean Color MEaSUREs project at UCSB. The research was supported by the National Natural Science Foundation of China (Nos. 41006111 and 41276182), the Innovation Group Program of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (No. LTOZZ1201), and the Public Science and Technology Research Funds'Ocean Projects (No. 201205040-5). ; The authors thank two anonymous reviewers for their constructive comments. The mean sea level anomaly and geostrophic current data used were obtained from the Archiving Validation and Interpretation of Satellite Data in Oceanography (http://www.aviso.oceanobs.com/). The satellite Chl data were obtained from the Ocean Color MEaSUREs project at UCSB. The research was supported by the National Natural Science Foundation of China (Nos. 41006111 and 41276182), the Innovation Group Program of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (No. LTOZZ1201), and the Public Science and Technology Research Funds'Ocean Projects (No. 201205040-5). ; The authors thank two anonymous reviewers for their constructive comments. The mean sea level anomaly and geostrophic current data used were obtained from the Archiving Validation and Interpretation of Satellite Data in Oceanography (http://www.aviso.oceanobs.com/). The satellite Chl data were obtained from the Ocean Color MEaSUREs project at UCSB. The research was supported by the National Natural Science Foundation of China (Nos. 41006111 and 41276182), the Innovation Group Program of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (No. LTOZZ1201), and the Public Science and Technology Research Funds'Ocean Projects (No. 201205040-5).
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Language英语
Funding OrganizationThe authors thank two anonymous reviewers for their constructive comments. The mean sea level anomaly and geostrophic current data used were obtained from the Archiving Validation and Interpretation of Satellite Data in Oceanography (http://www.aviso.oceanobs.com/). The satellite Chl data were obtained from the Ocean Color MEaSUREs project at UCSB. The research was supported by the National Natural Science Foundation of China (Nos. 41006111 and 41276182), the Innovation Group Program of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (No. LTOZZ1201), and the Public Science and Technology Research Funds'Ocean Projects (No. 201205040-5). ; The authors thank two anonymous reviewers for their constructive comments. The mean sea level anomaly and geostrophic current data used were obtained from the Archiving Validation and Interpretation of Satellite Data in Oceanography (http://www.aviso.oceanobs.com/). The satellite Chl data were obtained from the Ocean Color MEaSUREs project at UCSB. The research was supported by the National Natural Science Foundation of China (Nos. 41006111 and 41276182), the Innovation Group Program of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (No. LTOZZ1201), and the Public Science and Technology Research Funds'Ocean Projects (No. 201205040-5). ; The authors thank two anonymous reviewers for their constructive comments. The mean sea level anomaly and geostrophic current data used were obtained from the Archiving Validation and Interpretation of Satellite Data in Oceanography (http://www.aviso.oceanobs.com/). The satellite Chl data were obtained from the Ocean Color MEaSUREs project at UCSB. The research was supported by the National Natural Science Foundation of China (Nos. 41006111 and 41276182), the Innovation Group Program of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (No. LTOZZ1201), and the Public Science and Technology Research Funds'Ocean Projects (No. 201205040-5). ; The authors thank two anonymous reviewers for their constructive comments. The mean sea level anomaly and geostrophic current data used were obtained from the Archiving Validation and Interpretation of Satellite Data in Oceanography (http://www.aviso.oceanobs.com/). The satellite Chl data were obtained from the Ocean Color MEaSUREs project at UCSB. The research was supported by the National Natural Science Foundation of China (Nos. 41006111 and 41276182), the Innovation Group Program of State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences (No. LTOZZ1201), and the Public Science and Technology Research Funds'Ocean Projects (No. 201205040-5).
WOS IDWOS:000320681800003
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Cited Times:24[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/10896
Collection热带海洋环境国家重点实验室(LTO)
Corresponding Authorffliu@scsio.ac.cn; sltang@scsio.ac.cn; cqchen@scsio.ac.cn
Recommended Citation
GB/T 7714
[Liu, Fenfen,Tang, Shilin,Chen, Chuqun] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China,et al. Impact of nonlinear mesoscale eddy on phytoplankton distribution in the northern South China Sea[J]. JOURNAL OF MARINE SYSTEMS,2013,123:33-40.
APA [Liu, Fenfen.,Tang, Shilin.,Chen, Chuqun] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China.,[Liu, Fenfen] Chinese Acad Sci, Grad Univ, Beijing 100101, Peoples R China.,ffliu@scsio.ac.cn.,...&cqchen@scsio.ac.cn.(2013).Impact of nonlinear mesoscale eddy on phytoplankton distribution in the northern South China Sea.JOURNAL OF MARINE SYSTEMS,123,33-40.
MLA [Liu, Fenfen,et al."Impact of nonlinear mesoscale eddy on phytoplankton distribution in the northern South China Sea".JOURNAL OF MARINE SYSTEMS 123(2013):33-40.
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