Seasonal variations of several main water masses in the southern Yellow Sea and East China Sea in 2011

Quan, Qi; Mao, Xinyan; Yang, Xiaodan; Hu, Yingying; Zhang, Haiyan; Jiang, Wensheng

doi:10.1007/s11802-013-2198-5

Cited by 31 publications

(27 citation statements)

References 20 publications

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“…The distribution of surface temperature, salinity, and turbidity has been reported in previous studies [ Bian et al ., ; Quan et al ., ]. The temperature in the ECS and SYS ranged from 4.3 to 17.0°C, with an average of 9.3°C in spring and from 16.8 to 28.9°C, with an average of 24.1°C in summer (Figures a and g).…”

Section: Resultsmentioning

confidence: 99%

“…The salinity varied from 25.2 to 34.6 practical salinity unit (PSU) (mean value: 32.8 PSU) in spring and from 19.7 to 34.3 PSU (mean value: 30.7 PSU) in summer (Figures b and h). In spring, cold and fresh water with lower temperature and salinity were observed in the SYS, with higher temperature in the southeast of the ECS and the CDW spread southward from the CRE (Figures a and b) [ Quan et al ., ]. In summer, higher temperature and salinity were located in the ECS, and the CDW spread northeastward from the CRE to the Cheju Island (Figures g and h) [ Quan et al ., ].…”

Section: Resultsmentioning

confidence: 99%

“…Note that turbidity was not measured in our spring cruise due to instrument failure. The distribution of surface temperature, salinity, and summertime turbidity has been reported in previous studies [ Bian et al ., ; Quan et al ., ].…”

Section: Resultsmentioning

confidence: 99%

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Spatiotemporal variations of phytoplankton in the East China Sea and the Yellow Sea revealed by lipid biomarkers

Duan

et al. 2016

JGR Biogeosciences

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The East China Sea (ECS) and the Southern Yellow Sea (SYS) ecosystem is undergoing dramatic changes, but the spatiotemporal patterns and forcing mechanisms of phytoplankton variations remain understudied. Phytoplankton lipid biomarkers are useful proxies for productivity and community structure changes, and they were measured in suspended particles of more than 81 sites from spring and summer of 2011 in the ECS and SYS. In spring, the concentrations of brassicasterol (4.7-127 ng L À1 ) and dinosterol (0.7-37 ng L À1 ) were markedly higher in the northern and central SYS, while C 37 alkenones (0-15 ng L À1 ) were detected at only seven sites in the ECS. In summer, brassicasterol (25.3-1178 ng L À1 ) and dinosterol (0-125 ng L À1 ) showed high values off the Changjiang River Estuary (CRE), while C 37 alkenones (0-410 ng L À1 ) had high values in the northwest and central SYS. The mean concentrations of the three lipid biomarkers in summer were 3 to 61 times higher than those in spring. Spatiotemporal patterns of biomarkers reveal higher ratios of diatom/dinoflagellate and diatom/haptophyte in higher productivity areas, off the CRE in summer and the northern and central SYS in spring. This study validates the applicability of brassicasterol, dinosterol, and alkenones as proxies of productivity and community structure of the three phytoplankton taxa: diatoms, dinoflagellates, and haptophytes. The results indicate that nutrients (in summer) and turbidity-induced photosynthetic available radiation (in spring) play important roles in regulating spatiotemporal variations of phytoplankton in the ECS and SYS.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Spatiotemporal variations of phytoplankton in the East China Sea and the Yellow Sea revealed by lipid biomarkers

Duan

et al. 2016

JGR Biogeosciences

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“…Spatial distribution is closely related to the competitive abilities of different PSCs in response to environmental conditions. Figures b and c showed that salinity and temperature were higher in the central YS and the offshore ECS, due to the influence of Yellow Sea warm current, Taiwan warm current, and Kuroshio (Li et al, ; Quan et al, ; Yu et al, ). Results in section 3.1 revealed that temperature and salinity were correlated to the phytoplankton size structure, which might serve to explain why nano and picoplankton had higher concentrations and percentages offshore.…”

Section: Discussionmentioning

confidence: 99%

In Situ and Satellite Observations of Phytoplankton Size Classes in the Entire Continental Shelf Sea, China

et al. 2018

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Phytoplankton size classes (PSCs) is of great significance for exploring marine ecological and biogeochemical processes. Remote sensing of PSCs has been successfully applied to open oceans; however, it is still quite limited for optically complex coastal oceans. In this study, the entire continental shelf sea of China including Bohai Sea (BS), Yellow Sea (YS), and East China Sea (ECS) characterized by distinctive turbid waters and impacted by plumes of large world‐class river (the Changjiang River) was taken as an example of turbid coastal ocean for remotely sensed spatial‐temporal distributions of PSCs. In situ data were collected from cruises during April to June in 2014 and an improved algorithm for PSCs retrieval was proposed. PSCs derived from GOCI (Geostationary Ocean Color Imager) images revealed that microplankton was dominant in the BS, the YS, and the nearshore ECS and nanoplankton distributed widely in the entire study area, while picoplankton mainly distributed in the offshore ECS in April, which was consistent with in situ investigation and related to environmental factors. Validation indicated that the improved algorithm provided a more accurate estimation of PSCs, with the root mean square error (RMSE) between estimated and measured size‐fractionated concentrations been 0.774, 0.257, and 0.142 mg m−3 for micro, nano, and picoplankton, respectively. Diurnal variations of PSCs were mainly affected by tidal currents and light intensity depending on different water types. These illustrated that remote sensed spatial distributions as well as diurnal variations of PSCs are effective in turbid continental shelf seas of China.

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“…The Yellow Sea Cold Water Mass, Changjiang River diluted water (CRDW), Taiwan Strait warm water, and the Kuroshio subsurface water are important environments in the YS and ECS, which have seasonal variations in both scale and characteristics (Quan et al, 2013), which determine the biological-environmental relationships within the study area. Coastal waters of this area have high levels of nutrients, chlorophyll concentration, and biomass due to the intrusion and diff usion of the CRDW, whereby large amounts of terrestrial detritus, suspended sediments, nutrients, and pollutants are carried into the continental YS and ECS (Wang, 2003;Fu et al, 2014).…”

Section: Mechanism Of the Increase Of The Chl-a Concentrationmentioning

confidence: 99%

Impact of two typhoons on the marine environment in the Yellow Sea and East China Sea

Luan

Pan

et al. 2016

Chin. J. Ocean. Limnol.

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This study investigated the eff ects of two typhoons (Nari and Wipha) on sea surface temperature (SST) and chlorophyll-a (Chl-a ) concentration. Typhoons Nari and Wipha passed through the Yellow Sea on September 13, 2007 and the East China Sea (ECS) on September 16, 2007, respectively. The SST and Chl-a data were obtained from the Aqua/Terra MODIS and NOAA18, respectively, and the temperature and salinity in the southeast of the study area were observed in situ from Argo. The average SST within the study area dropped from 26.33°C on September 10 to a minimum of 22.79°C on September 16. Without the usual phenomenon of 'right bias', the most striking response of SST was in the middle of the typhoons' tracks, near to coastal waters. Strong cooling of the upper layers of the water column was probably due to increased vertical mixing, discharge from the Changjiang River estuary, and heavy rainfall. During the typhoons, average Chl-a increased by 11.54% within the study area and by 21.69% in the off shore area near to the southeast ECS. From September 1 to 13, average Chl-a was only 0.10 mg/m 3 in the off shore waters but it reached a peak of >0.17 mg/m 3 on September 18. This large increase in Chl-a concentration in off shore waters might have been triggered by strong vertical mixing, upwelling induced by strong typhoons, and sedimentation and nutrient infl ux following heavy rainfall.

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Seasonal variations of several main water masses in the southern Yellow Sea and East China Sea in 2011

Cited by 31 publications

References 20 publications

Spatiotemporal variations of phytoplankton in the East China Sea and the Yellow Sea revealed by lipid biomarkers

Spatiotemporal variations of phytoplankton in the East China Sea and the Yellow Sea revealed by lipid biomarkers

In Situ and Satellite Observations of Phytoplankton Size Classes in the Entire Continental Shelf Sea, China

Impact of two typhoons on the marine environment in the Yellow Sea and East China Sea

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