Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea
Over the past two decades, the environmental characteristics of the northern East China Sea (NECS) that make it a crucial spawning ground for commercially significant species have faced substantial impacts due to climate change. Protein (PRT) within phytoplankton, serving as a nitrogen-rich food for...
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MDPI AG
2024-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/5/829 |
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| author | Myeongseop Kim Sungjun Kim Dabin Lee Hyo-Keun Jang Sanghoon Park Yejin Kim Jaesoon Kim Seok-Hyun Youn Huitae Joo Seunghyun Son Sang-Heon Lee |
| author_facet | Myeongseop Kim Sungjun Kim Dabin Lee Hyo-Keun Jang Sanghoon Park Yejin Kim Jaesoon Kim Seok-Hyun Youn Huitae Joo Seunghyun Son Sang-Heon Lee |
| author_sort | Myeongseop Kim |
| collection | DOAJ |
| description | Over the past two decades, the environmental characteristics of the northern East China Sea (NECS) that make it a crucial spawning ground for commercially significant species have faced substantial impacts due to climate change. Protein (PRT) within phytoplankton, serving as a nitrogen-rich food for organisms of higher trophic levels, is a sensitive indicator to environmental shifts. This study aims to develop a regional PRT algorithm to characterize spatial and temporal variations in the NECS from 2012 to 2022. Employing switching chlorophyll-<i>a</i> and particulate organic nitrogen algorithms, the developed regional PRT algorithm demonstrates enhanced accuracy. Satellite-estimated PRT concentrations, utilizing data from the Visible Infrared Imaging Radiometer Suite (VIIRS), generally align with the 1:1 line when compared to in situ data. Seasonal patterns and spatial distributions of PRT in both the western and eastern parts of the NECS from 2012 to 2022 were discerned, revealing notable differences in the spatial distribution and major controlling factors between these two areas. In conclusion, the regional PRT algorithm significantly improves estimation precision, advancing our understanding of PRT dynamics in the NECS concerning PRT concentration and environmental changes. This research underscores the importance of tailored algorithms in elucidating the intricate relationships between environmental variables and PRT variations in the NECS. |
| first_indexed | 2024-04-25T00:21:34Z |
| format | Article |
| id | doaj.art-db7531db89bc4ae7b18f0dd676f85263 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-25T00:21:34Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-db7531db89bc4ae7b18f0dd676f852632024-03-12T16:54:09ZengMDPI AGRemote Sensing2072-42922024-02-0116582910.3390/rs16050829Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China SeaMyeongseop Kim0Sungjun Kim1Dabin Lee2Hyo-Keun Jang3Sanghoon Park4Yejin Kim5Jaesoon Kim6Seok-Hyun Youn7Huitae Joo8Seunghyun Son9Sang-Heon Lee10Department of Oceanography and Marine Research Institute, Pusan National University, Geumjeong-gu, Busan 46241, Republic of KoreaDepartment of Oceanography and Marine Research Institute, Pusan National University, Geumjeong-gu, Busan 46241, Republic of KoreaInstitute of Sustainable Earth and Environmental Dynamics (SEED), Pukyong National University, 365 Sinseon-ro, Nam-gu, Busan 48547, Republic of KoreaDepartment of Oceanography and Marine Research Institute, Pusan National University, Geumjeong-gu, Busan 46241, Republic of KoreaDepartment of Oceanography and Marine Research Institute, Pusan National University, Geumjeong-gu, Busan 46241, Republic of KoreaDepartment of Oceanography and Marine Research Institute, Pusan National University, Geumjeong-gu, Busan 46241, Republic of KoreaDepartment of Oceanography and Marine Research Institute, Pusan National University, Geumjeong-gu, Busan 46241, Republic of KoreaOceanic Climate and Ecology Research Division, National Institute of Fisheries Science, Busan 46083, Republic of KoreaOceanic Climate and Ecology Research Division, National Institute of Fisheries Science, Busan 46083, Republic of KoreaNOAA/NESDIS Center for Satellite Applications and Research, College Park, MD 20740, USADepartment of Oceanography and Marine Research Institute, Pusan National University, Geumjeong-gu, Busan 46241, Republic of KoreaOver the past two decades, the environmental characteristics of the northern East China Sea (NECS) that make it a crucial spawning ground for commercially significant species have faced substantial impacts due to climate change. Protein (PRT) within phytoplankton, serving as a nitrogen-rich food for organisms of higher trophic levels, is a sensitive indicator to environmental shifts. This study aims to develop a regional PRT algorithm to characterize spatial and temporal variations in the NECS from 2012 to 2022. Employing switching chlorophyll-<i>a</i> and particulate organic nitrogen algorithms, the developed regional PRT algorithm demonstrates enhanced accuracy. Satellite-estimated PRT concentrations, utilizing data from the Visible Infrared Imaging Radiometer Suite (VIIRS), generally align with the 1:1 line when compared to in situ data. Seasonal patterns and spatial distributions of PRT in both the western and eastern parts of the NECS from 2012 to 2022 were discerned, revealing notable differences in the spatial distribution and major controlling factors between these two areas. In conclusion, the regional PRT algorithm significantly improves estimation precision, advancing our understanding of PRT dynamics in the NECS concerning PRT concentration and environmental changes. This research underscores the importance of tailored algorithms in elucidating the intricate relationships between environmental variables and PRT variations in the NECS.https://www.mdpi.com/2072-4292/16/5/829chlorophyll-<i>a</i>East China Seaparticulate organic nitrogenphytoplanktonproteinsVIIRS |
| spellingShingle | Myeongseop Kim Sungjun Kim Dabin Lee Hyo-Keun Jang Sanghoon Park Yejin Kim Jaesoon Kim Seok-Hyun Youn Huitae Joo Seunghyun Son Sang-Heon Lee Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea Remote Sensing chlorophyll-<i>a</i> East China Sea particulate organic nitrogen phytoplankton proteins VIIRS |
| title | Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea |
| title_full | Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea |
| title_fullStr | Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea |
| title_full_unstemmed | Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea |
| title_short | Spatiotemporal Protein Variations Based on VIIRS-Derived Regional Protein Algorithm in the Northern East China Sea |
| title_sort | spatiotemporal protein variations based on viirs derived regional protein algorithm in the northern east china sea |
| topic | chlorophyll-<i>a</i> East China Sea particulate organic nitrogen phytoplankton proteins VIIRS |
| url | https://www.mdpi.com/2072-4292/16/5/829 |
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