Satellite-Derived Protein Concentration of Phytoplankton in the Southwestern East/Japan Sea SCIE SCOPUS

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Title
Satellite-Derived Protein Concentration of Phytoplankton in the Southwestern East/Japan Sea
Author(s)
Bae, Hyeonji; Lee, Dabin; Kang, Jae Joong; Lee, Jae Hyung; Jo, Naeun Jo; Kim, Kwanwoo; Jang,Hyo Keun; Kim, Myung Joon; Kim, Yejin; Kwon,Jae-Il; Lee, Sang Heon
KIOST Author(s)
Kwon, Jae Il(권재일)
Alternative Author(s)
권재일
Publication Year
2021-02
Abstract
The cellular macromolecular contents and energy value of phytoplankton as primary food source determine the growth of higher trophic levels, affecting the balance and sustainability of oceanic food webs. Especially, proteins are more directly linked with basic functions of phytoplankton biosynthesis and cell division and transferred through the food chains. In recent years, the East/Japan Sea (EJS) has been changed dramatically in environmental conditions, such as physical and chemical characteristics, as well as biological properties. Therefore, developing an algorithm to estimate the protein concentration of phytoplankton and monitor their spatiotemporal variations on a broad scale would be invaluable. To derive the protein concentration of phytoplankton in EJS, the new regional algorithm was developed by using multiple linear regression analyses based on field-measured data which were obtained from 2012 to 2018 in the southwestern EJS. The major factors for the protein concentration were identified as chlorophyll-a (Chl-a) and sea surface nitrate (SSN) in the southwestern EJS. The coefficient of determination (r(2)) between field-measured and algorithm-derived protein concentrations was 0.55, which is rather low but reliable. The satellite-derived estimation generally follows the 1:1 line with the field-measured data, with Pearson's correlation coefficient, which was 0.40 (p-value < 0.01, n = 135). No remarkable trend in the long-term annual protein concentration of phytoplankton was found in the study area during our observation period. However, some seasonal difference was observed in winter protein concentration between the 2003-2005 and 2017-2019 periods. The algorithm is developed for the regional East/Japan Sea (EJS) and could contribute to long-term monitoring for climate-associated ecosystem changes. For a better understanding of spatiotemporal variation in the protein concentration of phytoplankton in the EJS, this algorithm should be further improved with continuous field surveys.
ISSN
2077-1312
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/41352
DOI
10.3390/jmse9020189
Bibliographic Citation
JOURNAL OF MARINE SCIENCE AND ENGINEERING, v.9, no.2, 2021
Publisher
MDPI
Keywords
protein concentration of phytoplankton; chlorophyll-a; nitrate; phytoplankton; ocean color; East/Japan Sea
Type
Article
Language
English
Document Type
Article
Publisher
MDPI
Related Researcher
Research Interests

Ocean Numerical Modelling,Physical Oceanography,Coastal processess,해양수치모델,물리해양학,연안과정

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