Monitoring Ulva prolifera in the Yellow Sea and East China Sea derived from multi-source remote sensing images

2017 ◽  
Author(s):  
Dingfeng Yu ◽  
Zhigang Gai ◽  
Xiangfeng Kong ◽  
Hui Liu ◽  
Enxiao Liu
Keyword(s):  
Remote Sensing ◽  
East China Sea ◽  
Yellow Sea ◽  
Ulva Prolifera ◽  
The Yellow Sea ◽  
East China ◽  
Remote Sensing Images ◽  
China Sea

Morphology of seven Collichthys lucidus populations near the coast of the Yellow Sea and East China Sea

2018 ◽  
Vol 25 (3) ◽  
pp. 576 ◽  
Author(s):  
Shuzhang LIANG ◽  
Wei SONG ◽  
Ming ZHAO ◽  
Wei CHEN ◽  
Yu LI ◽  
...  
Keyword(s):  
East China Sea ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
East China ◽  
China Sea ◽  
Collichthys Lucidus

Distribution and influencing factors of dissolved manganese in the Yellow Sea and the East China Sea

2021 ◽  
pp. 104002
Author(s):  
Yuan Zhang ◽  
Lei Li ◽  
Jingling Ren ◽  
Huijun He ◽  
Ruifeng Zhang ◽  
...  
Keyword(s):  
Influencing Factors ◽  
East China Sea ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
East China ◽  
The East China Sea ◽  
China Sea

scholarly journals Hydrodynamic condition and suspended sediment diffusion in the Yellow Sea and East China Sea

2016 ◽  
Vol 121 (8) ◽  
pp. 6204-6222 ◽  
Author(s):  
Guangxue Li ◽  
Lulu Qiao ◽  
Ping Dong ◽  
Yanyan Ma ◽  
Jishang Xu ◽  
...  
Keyword(s):  
Suspended Sediment ◽  
East China Sea ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
East China ◽  
Hydrodynamic Condition ◽  
China Sea

scholarly journals Summer and winter living coccolithophores in the Yellow Sea and the East China Sea

2014 ◽  
Vol 11 (3) ◽  
pp. 779-806 ◽  
Author(s):  
J. Sun ◽  
X. Y. Gu ◽  
Y. Y. Feng ◽  
S. F. Jin ◽  
W. S. Jiang ◽  
...  
Keyword(s):  
Surface Layer ◽  
Environmental Factors ◽  
East China Sea ◽  
Correspondence Analysis ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Living Coccolithophores

Abstract. This paper describes the distribution of living coccolithophores (LCs) in the Yellow Sea and the East China Sea in summer and winter, and its relationship with environmental factors by canonical correspondence analysis (CCA). We carried out a series of investigations on LCs distribution in the Yellow Sea and the East China Sea in July and December 2011. 210 samples from different depths were collected from 44 stations in summer and 217 samples were collected from 45 stations in winter. Totally 20 taxa belonging to coccolithophyceae were identified using a polarized microscope at the 1000 × magnification. The dominant species of the two seasons were Gephyrocapsa oceanica, Emiliania huxleyi, Helicosphaera carteri, and Algirosphaera robusta. In summer the abundance of coccolithophore cells and coccoliths ranged 0–176.40 cells mL−1, and 0–2144.98 coccoliths mL−1, with the average values of 8.45 cells mL−1, and 265.42 coccoliths mL−1, respectively. And in winter the abundance of cells and coccoliths ranged 0–71.66 cells mL−1, and 0–4698.99 coccoliths mL−1, with the average values of 13.91 cells mL−1 and 872.56 coccoliths mL−1, respectively. In summer, the LCs in surface layer were mainly observed on the coastal belt and southern part of the survey area. In winter, the LCs in surface layer had high value in the continental shelf area of section P. The comparison among section A, section F, section P and section E indicated lower species diversity and less abundance in the Yellow Sea than those in the East China Sea in both seasons. Temperature and the nitrate concentration may be the major environmental factors controlling the distribution and species composition of LCs in the studying area based on CCA. Abbreviations: LCs: Living Coccolithophores; CCA: canonical correspondence analysis; DCM: Deep Chlorophyll Maximum

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