Characterizing spatial patterns of satellite-derived chlorophyll-a in the Bohai and Yellow Seas of China using self-organizing maps (SOM) approach
Wang, Yueqi1,2; Liu, Dongyan2; Gao, Zhiqiang1; Wang, Yujue2; Gao, Meng3
Source PublicationMARINE POLLUTION BULLETIN
ISSN0025-326X
2023-08-01
Volume193Pages:13
KeywordSea surface chlorophyll-a Space-in-time pattern Self-organizing maps Bohai and yellow seas
DOI10.1016/j.marpolbul.2023.115176
Corresponding AuthorWang, Yueqi(yueqiwang@yic.ac.cn) ; Liu, Dongyan(dyliu@sklec.ecnu.edu.cn)
AbstractDynamic of chlorophyll-a (Chl-a) concentration is essential information to understand the status and trends of marine ecosystems. In this study, a Self-Organizing Map (SOM) was applied to delineate space-in-time patterns of Chl-a from satellite dataset during 2002-2022 over the Bohai and Yellow Seas of China (BYS). Six typical Chl-a spatial patterns were discerned through a 2 x 3 nodes SOM, while temporal evolutions of dominant spatial patterns were analyzed. The Chl-a spatial patterns were characterized by different concentrations and gradients, and obviously changed over time. The Chl-a spatial patterns and their temporal evolutions were mainly shaped by joint effects of nutrient level, light availability, water column stability, and other factors. Our findings provide first glimpse of space-in-time Chl-a dynamics in the BYS, and complement to the traditional time-in-space Chl-a pattern studies. The accurate identification and classification of the Chl-a spatial patterns are of great significance to marine regionalization and management.
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation of Shandong Province, China ; Open Research Fund of State Key Laboratory of Estuarine and Coastal Research
Indexed BySCI
Language英语
WOS KeywordCLIMATE-CHANGE ; SURFACE TEMPERATURE ; PHYTOPLANKTON BLOOM ; OCEAN ; EUTROPHICATION ; RECONSTRUCTION ; VARIABILITY ; NUTRIENTS ; DYNAMICS ; TRENDS
WOS Research AreaEnvironmental Sciences & Ecology ; Marine & Freshwater Biology
WOS IDWOS:001029569800001
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/33385
Collection中国科学院海岸带环境过程与生态修复重点实验室
中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
Corresponding AuthorWang, Yueqi; Liu, Dongyan
Affiliation1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remediat, Yantai, Shandong, Peoples R China
2.East China Normal Univ, Inst Ecochongming, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China
3.Yantai Univ, Sch Math & Informat Sci, Yantai, Shandong, Peoples R China
Recommended Citation
GB/T 7714
Wang, Yueqi,Liu, Dongyan,Gao, Zhiqiang,et al. Characterizing spatial patterns of satellite-derived chlorophyll-a in the Bohai and Yellow Seas of China using self-organizing maps (SOM) approach[J]. MARINE POLLUTION BULLETIN,2023,193:13.
APA Wang, Yueqi,Liu, Dongyan,Gao, Zhiqiang,Wang, Yujue,&Gao, Meng.(2023).Characterizing spatial patterns of satellite-derived chlorophyll-a in the Bohai and Yellow Seas of China using self-organizing maps (SOM) approach.MARINE POLLUTION BULLETIN,193,13.
MLA Wang, Yueqi,et al."Characterizing spatial patterns of satellite-derived chlorophyll-a in the Bohai and Yellow Seas of China using self-organizing maps (SOM) approach".MARINE POLLUTION BULLETIN 193(2023):13.
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