Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China
Wang, Yueqi1,2; Liu, Dongyan2; Wang, Yujue2; Gao, Meng3; Gao, Zhiqiang1
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
2024
Volume62Pages:13
KeywordSea 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
DOI10.1109/TGRS.2024.3383391
Corresponding AuthorLiu, Dongyan(dyliu@sklec.ecnu.edu.cn)
AbstractPhytoplankton 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.
Funding OrganizationNational Natural Science Foundation of China
Indexed BySCI
Language英语
WOS KeywordCHLOROPHYLL-A CONCENTRATION ; CELL-SIZE ; MARINE-PHYTOPLANKTON ; COMMUNITY STRUCTURE ; TEMPERATURE ; PIGMENTS ; EUTROPHICATION ; NUTRIENTS ; PLANKTON ; LECTURE
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:001200182800022
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Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/35366
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 AuthorLiu, Dongyan
Affiliation1.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
Recommended Citation
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.
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