Characterizing spatial patterns of satellite-derived chlorophyll-a in the Bohai and Yellow Seas of China using self-organizing maps (SOM) approach

doi:10.1016/j.marpolbul.2023.115176

	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
发表期刊	MARINE POLLUTION BULLETIN
ISSN	0025-326X
	2023-08-01
卷号	193 页码:13
关键词	Sea surface chlorophyll-a Space-in-time pattern Self-organizing maps Bohai and yellow seas
DOI	10.1016/j.marpolbul.2023.115176
通讯作者	Wang, Yueqi([email protected]) ; Liu, Dongyan([email protected])
英文摘要	Dynamic 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.
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Shandong Province, China ; Open Research Fund of State Key Laboratory of Estuarine and Coastal Research
收录类别	SCI
语种	英语
关键词[WOS]	CLIMATE-CHANGE ; SURFACE TEMPERATURE ; PHYTOPLANKTON BLOOM ; OCEAN ; EUTROPHICATION ; RECONSTRUCTION ; VARIABILITY ; NUTRIENTS ; DYNAMICS ; TRENDS
研究领域[WOS]	Environmental Sciences & Ecology ; Marine & Freshwater Biology
WOS记录号	WOS:001029569800001
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/36819
专题	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
通讯作者	Wang, Yueqi; Liu, Dongyan
作者单位	1.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
推荐引用方式 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.