2022
DOI: 10.1029/2021jc017998
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Phytoplankton Community Patterns in the Northeastern South China Sea: Implications of Intensified Kuroshio Intrusion During the 2015/16 El Niño

Abstract: Kuroshio intrusion into the South China Sea (SCS) varies seasonally and interannually under different climatic conditions. To characterize the intensity of the climate‐driven Kuroshio intrusion and its impact on the phytoplankton community in the northeastern South China Sea (NESCS), two cruises were conducted during the 2015/16 El Niño event. In situ observations and remote sensing data showed that the Kuroshio strongly intruded into the SCS in both summer and winter. The summer phytoplankton community was do… Show more

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Cited by 8 publications
(3 citation statements)
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“…This study addresses this knowledge gap by analyzing the spatial and temporal variations, depth structure, and physical mechanisms of the southern SCS WBC to advance our understanding. This research contributes to a better comprehension of energy and heat fluxes within SCS waters (Qu et al, 2004;Shu et al, 2018;Wang et al, 2021;Luo et al, 2022;Liu et al, 2023) and supports improved marine resource management and ecosystem preservation (Ning et al, 2004;Hein et al, 2013;Lu et al, 2018;Ding et al, 2022).…”
mentioning
confidence: 73%
“…This study addresses this knowledge gap by analyzing the spatial and temporal variations, depth structure, and physical mechanisms of the southern SCS WBC to advance our understanding. This research contributes to a better comprehension of energy and heat fluxes within SCS waters (Qu et al, 2004;Shu et al, 2018;Wang et al, 2021;Luo et al, 2022;Liu et al, 2023) and supports improved marine resource management and ecosystem preservation (Ning et al, 2004;Hein et al, 2013;Lu et al, 2018;Ding et al, 2022).…”
mentioning
confidence: 73%
“…The intestinal microbiota's co-occurrence patterns were constructed based on Spearman's rank correlation coefficients. The co-occurrence network was visualized in Gephi (version 0.9.2) [33]. We utilized the Linear Discriminant Analysis Effect Size (LEfSe) to compare the key differential groups and functional predictions of Salmo trutta fario gut bacteria across the three aquaculture farming modes (using the microeco package in R, https://github.com/ChiLiubio/microeco (accessed on 3 April 2024)).…”
Section: Discussionmentioning
confidence: 99%
“…The intrusions have greater impact during El Niño events and less impact during La Niña event (Kuo and Tseng, 2020). For instance, the results of Ding et al (2022) have shown that the intrusion of Kuroshio water was strong during the winter of the 2015-2016 El Niño. In this study, the analysis of water masses revealed the influence of Kuroshio water characterized by high temperature and high salinity during the 2015-2016 El Niño and 2017-2018 La Niña (Figure 5).…”
Section: Discussionmentioning
confidence: 99%