Optimizing an Abundance-Based Model for Satellite Remote Sensing of Phytoplankton Size Classes in the Bohai and Yellow Seas of China
文献类型：期刊论文
| 作者 | Wang, Yueqi1,2; Liu, Dongyan2 ; Wang, Yujue2; Gao, Meng3; Gao, Zhiqiang1
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| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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| 出版日期 | 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 |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2024.3383391 |
| 通讯作者 | Liu, Dongyan(dyliu@sklec.ecnu.edu.cn) |
| 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. |
| WOS关键词 | CHLOROPHYLL-A CONCENTRATION ; CELL-SIZE ; MARINE-PHYTOPLANKTON ; COMMUNITY STRUCTURE ; TEMPERATURE ; PIGMENTS ; EUTROPHICATION ; NUTRIENTS ; PLANKTON ; LECTURE |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001200182800022 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.yic.ac.cn/handle/133337/35353]  |
| 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. |
入库方式： OAI收割
来源：烟台海岸带研究所
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