Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China

doi:10.1109/TGRS.2024.3383391

YIC-IR

	Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China
	Wang, Yueqi 1,2; Liu, Dongyan2 ; Wang, Yujue2 ; Gao, Meng3 ; Gao, Zhiqiang1
发表期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
	2024
卷号	62 页码:13
关键词	Sea measurements Pigments Phytoplankton Oceans Satellites Remote sensing Ocean temperature Abundance-based model Bohai and Yellow Seas (BYS) high-performance liquid chromatography (HPLC)-measured pigment phytoplankton size classes (PSCs) remote sensing sea surface temperature (SST)-dependent
DOI	10.1109/TGRS.2024.3383391
通讯作者	Liu, Dongyan([email protected])
英文摘要	Phytoplankton size structure is crucial for the functionality of the ocean food web and biogeochemical cycling, serving as a key indicator for assessing the state of marine ecosystems quantitatively. Despite the development of various algorithms to quantify phytoplankton size classes (PSCs) using satellite ocean color data, their reliability in optically complex coastal regions remains uncertain and requires regional optimization. In this study, we optimized and compared typical abundance-based three-component PSC models for the Bohai and Yellow Seas (BYS) of China using an extensive in situ PSC dataset derived from pigment samples analyzed via high-performance liquid chromatography (HPLC). The optimized sea surface temperature (SST)-dependent abundance-based PSC model of the BYS (SA-PSC-BYS) generated the most accurate remotely sensed PSC datasets for the BYS and effectively reproduced the PSC patterns observed in previous in situ studies. These patterns highlight the prevalence of micro- and pico-phytoplankton at higher and lower total biomass levels, respectively, and the dominance of nanophytoplankton at the mid-range of total biomass. This reliable PSC model will be invaluable for future remote sensing studies aiming to understand the detailed spatiotemporal variability of PSCs in the BYS. Additionally, it has the potential to enhance our understanding of the trophic connections between phytoplankton size structure and fisheries, thereby facilitating the development of effective marine management strategies.
资助机构	National Natural Science Foundation of China
收录类别	SCI
语种	英语
关键词[WOS]	CHLOROPHYLL-A CONCENTRATION ; CELL-SIZE ; MARINE-PHYTOPLANKTON ; COMMUNITY STRUCTURE ; TEMPERATURE ; PIGMENTS ; EUTROPHICATION ; NUTRIENTS ; PLANKTON ; LECTURE
研究领域[WOS]	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001200182800022
引用统计
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/35354
专题	中国科学院烟台海岸带研究所
通讯作者	Liu, Dongyan
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China 2.East China Normal Univ, Inst Ecochongming, State Key Lab Estuarine & Coastal Res, Shanghai 200241, Peoples R China 3.Yantai Univ, Sch Math & Informat Sci, Yantai 264032, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yueqi,Liu, Dongyan,Wang, Yujue,et al. Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2024,62:13.
APA	Wang, Yueqi,Liu, Dongyan,Wang, Yujue,Gao, Meng,&Gao, Zhiqiang.(2024).Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62,13.
MLA	Wang, Yueqi,et al."Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 62(2024):13.