Potential Impact of Sea Surface Temperature Variability on the 2007 Sudden Bloom of <i>Ulva prolifera</i> in the Southern Yellow Sea
Since 2007, <i>Ulva prolifera</i> (<i>U. prolifera</i>) originating in northern Jiangsu (NJ) has consistently expanded to the southern coast of the Shandong Peninsula. However, the underlying reasons for the 2007 sudden bloom of <i>U. prolifera</i> on a large scal...
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MDPI AG
2024-11-01
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| author | Yufeng Pan Pin Li Jiaxuan Sun Siyu Liu Lvyang Xing Di Yu Qi Feng |
| author_facet | Yufeng Pan Pin Li Jiaxuan Sun Siyu Liu Lvyang Xing Di Yu Qi Feng |
| author_sort | Yufeng Pan |
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| description | Since 2007, <i>Ulva prolifera</i> (<i>U. prolifera</i>) originating in northern Jiangsu (NJ) has consistently expanded to the southern coast of the Shandong Peninsula. However, the underlying reasons for the 2007 sudden bloom of <i>U. prolifera</i> on a large scale remain unknown. This study uses remote sensing data from MODIS/AQUA spanning the period 2003–2022 to investigate the sea surface temperature (SST) structure changes in the southern Yellow Sea (SYS) over the past 20 years. The results demonstrate the following. (1) Since 2007, the NJ northward current and the Yangtze estuary warm current have exhibited higher temperatures, earlier northward intrusions, and larger influence areas, leading to a faster warming rate in NJ before mid-May. This rapid increase in SST to a level suitable for early <i>U. prolifera</i> growth triggers large-scale blooms. (2) The change in temperature structure is primarily induced by a prolonged and intense La Niña event in 2007–2008. However, since 2016, under stable global climate conditions, the temperature structure of the SYS has returned to the pre-2007 state, corresponding to a decrease in the scale of <i>U. prolifera</i> blooms. |
| format | Article |
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| institution | Kabale University |
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| publishDate | 2024-11-01 |
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| series | Remote Sensing |
| spelling | doaj-art-309b68be06574e60b1490efc22d9ca7a2024-12-13T16:30:44ZengMDPI AGRemote Sensing2072-42922024-11-011623440710.3390/rs16234407Potential Impact of Sea Surface Temperature Variability on the 2007 Sudden Bloom of <i>Ulva prolifera</i> in the Southern Yellow SeaYufeng Pan0Pin Li1Jiaxuan Sun2Siyu Liu3Lvyang Xing4Di Yu5Qi Feng6Key Laboratory of Submarine Sciences and Prospecting Techniques, Ministry of Education of the People’s Republic of China, Ocean University of China, Qingdao 266100, ChinaFirst Institute of Oceanography, MNR, Qingdao 266100, ChinaQingdao West Coast New Area Marine Development Bureau, Qingdao 266000, ChinaKey Laboratory of Submarine Sciences and Prospecting Techniques, Ministry of Education of the People’s Republic of China, Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Submarine Sciences and Prospecting Techniques, Ministry of Education of the People’s Republic of China, Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Submarine Sciences and Prospecting Techniques, Ministry of Education of the People’s Republic of China, Ocean University of China, Qingdao 266100, ChinaKey Laboratory of Submarine Sciences and Prospecting Techniques, Ministry of Education of the People’s Republic of China, Ocean University of China, Qingdao 266100, ChinaSince 2007, <i>Ulva prolifera</i> (<i>U. prolifera</i>) originating in northern Jiangsu (NJ) has consistently expanded to the southern coast of the Shandong Peninsula. However, the underlying reasons for the 2007 sudden bloom of <i>U. prolifera</i> on a large scale remain unknown. This study uses remote sensing data from MODIS/AQUA spanning the period 2003–2022 to investigate the sea surface temperature (SST) structure changes in the southern Yellow Sea (SYS) over the past 20 years. The results demonstrate the following. (1) Since 2007, the NJ northward current and the Yangtze estuary warm current have exhibited higher temperatures, earlier northward intrusions, and larger influence areas, leading to a faster warming rate in NJ before mid-May. This rapid increase in SST to a level suitable for early <i>U. prolifera</i> growth triggers large-scale blooms. (2) The change in temperature structure is primarily induced by a prolonged and intense La Niña event in 2007–2008. However, since 2016, under stable global climate conditions, the temperature structure of the SYS has returned to the pre-2007 state, corresponding to a decrease in the scale of <i>U. prolifera</i> blooms.https://www.mdpi.com/2072-4292/16/23/4407<i>Ulva prolifera</i>sea surface temperatureNorthern Jiangsu northward currentwarm current across the Yangtze River EstuaryMODIS/AQUA |
| spellingShingle | Yufeng Pan Pin Li Jiaxuan Sun Siyu Liu Lvyang Xing Di Yu Qi Feng Potential Impact of Sea Surface Temperature Variability on the 2007 Sudden Bloom of <i>Ulva prolifera</i> in the Southern Yellow Sea Remote Sensing <i>Ulva prolifera</i> sea surface temperature Northern Jiangsu northward current warm current across the Yangtze River Estuary MODIS/AQUA |
| title | Potential Impact of Sea Surface Temperature Variability on the 2007 Sudden Bloom of <i>Ulva prolifera</i> in the Southern Yellow Sea |
| title_full | Potential Impact of Sea Surface Temperature Variability on the 2007 Sudden Bloom of <i>Ulva prolifera</i> in the Southern Yellow Sea |
| title_fullStr | Potential Impact of Sea Surface Temperature Variability on the 2007 Sudden Bloom of <i>Ulva prolifera</i> in the Southern Yellow Sea |
| title_full_unstemmed | Potential Impact of Sea Surface Temperature Variability on the 2007 Sudden Bloom of <i>Ulva prolifera</i> in the Southern Yellow Sea |
| title_short | Potential Impact of Sea Surface Temperature Variability on the 2007 Sudden Bloom of <i>Ulva prolifera</i> in the Southern Yellow Sea |
| title_sort | potential impact of sea surface temperature variability on the 2007 sudden bloom of i ulva prolifera i in the southern yellow sea |
| topic | <i>Ulva prolifera</i> sea surface temperature Northern Jiangsu northward current warm current across the Yangtze River Estuary MODIS/AQUA |
| url | https://www.mdpi.com/2072-4292/16/23/4407 |
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