Detection of Fish Killing Dinoflagellates Cochlodinium polykrikoides and Karlodinium veneficum (Dinophyceae) in the East China Sea by Real-time PCR

ALGAE ◽  
2009 ◽  
Vol 24 (2) ◽  
pp. 105-110 ◽  
Author(s):  
Tae-Gyu Park ◽  
Yang-Soon Kang ◽  
Young-Tae Park ◽  
Heon-Meen Bae ◽  
Yoon Lee
Keyword(s):  
Real Time ◽  
East China Sea ◽  
Real Time Pcr ◽  
East China ◽  
Cochlodinium Polykrikoides ◽  
The East China Sea ◽  
China Sea ◽  
Karlodinium Veneficum

Morphological and Phylogenetic Analysis of Karlodinium veneficum Isolated from the East China Sea in China

2011 ◽  
Vol 46 (2) ◽  
pp. 179-188 ◽  
Author(s):  
Wang Hongxia ◽  
Lu Douding ◽  
Huang Haiyan ◽  
Dai Xinfeng ◽  
Xia Ping
Keyword(s):  
Phylogenetic Analysis ◽  
East China Sea ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Karlodinium Veneficum

scholarly journals A Sensor Web Prototype for Cabled Seafloor Observatories in the East China Sea

2019 ◽  
Vol 7 (11) ◽  
pp. 414 ◽  
Author(s):  
Yang Yu ◽  
Huiping Xu ◽  
Changwei Xu
Keyword(s):  
Real Time ◽  
East China Sea ◽  
Data Transmission ◽  
East China ◽  
The East China Sea ◽  
Plug And Play ◽  
China Sea ◽  
Sensor Web ◽  
Sensor Control ◽  
Seafloor Observatory

Seafloor observatories enable continuous power supply and real-time bidirectional data transmission, which marks a new way for marine environment monitoring. As in situ observation produces massive data in a constant way, the research involved with data acquisition, data transmission, data analysis, and user-oriented data application is vital to the close-loop operations of seafloor observatories. In this paper, we design and implement a sensor web prototype (ESOSW) to resolve seafloor observatory information processing in a plug-and-play way. A sensor web architecture is first introduced, which is information-oriented and structured into four layers enabling bidirectional information flow of observation data and control commands. Based on the layered architecture, the GOE Control Method and the Hot Swapping Interpretation Method are proposed as the plug-and-play mechanism for sensor control and data processing of seafloor observatory networks. ESOSW was thus implemented with the remote-control system, the data management system, and the real-time monitoring system, supporting managed sensor control and on-demand measurement. ESOSW was tested for plug-and-play enablement through a series of trials and was put into service for the East China Sea Seafloor Observation System. The experiment shows that the sensor web prototype design and implementation are feasible and could be a general reference to related seafloor observatory networks.

A strain of the toxic dinoflagellate Karlodinium veneficum isolated from the East China Sea is an omnivorous phagotroph

Harmful Algae ◽  
2020 ◽  
Vol 93 ◽  
pp. 101775 ◽  
Author(s):  
Huijiao Yang ◽  
Zhangxi Hu ◽  
Lixia Shang ◽  
Yunyan Deng ◽  
Ying Zhong Tang
Keyword(s):  
East China Sea ◽  
East China ◽  
Toxic Dinoflagellate ◽  
The East China Sea ◽  
China Sea ◽  
Karlodinium Veneficum

scholarly journals Estimation of Hourly Sea Surface Salinity in the East China Sea Using Geostationary Ocean Color Imager Measurements

2020 ◽  
Vol 12 (5) ◽  
pp. 755
Author(s):  
Dae-Won Kim ◽  
Young-Je Park ◽  
Jin-Yong Jeong ◽  
Young-Heon Jo
Keyword(s):  
Real Time ◽  
East China Sea ◽  
Ocean Color ◽  
Sea Surface ◽  
Sea Surface Salinity ◽  
East China ◽  
The East China Sea ◽  
Surface Salinity ◽  
China Sea ◽  
Mean Square Errors

Sea surface salinity (SSS) is an important tracer for monitoring the Changjiang Diluted Water (CDW) extension into Korean coastal regions; however, observing the SSS distribution in near real time is a difficult task. In this study, SSS detection algorithm was developed based on the ocean color measurements by Geostationary Ocean Color Imager (GOCI) in high spatial and temporal resolution using multilayer perceptron neural network (MPNN). Among the various combinations of input parameters, combinations with three to six bands of GOCI remote sensing reflectance (Rrs), sea surface temperature (SST), longitude, and latitude were most appropriate for estimating the SSS. According to model validations with the Soil Moisture Active Passive (SMAP) and Ieodo Ocean Research Station (I-ORS) SSS measurements, the coefficient of determination (R2) were 0.81 and 0.92 and the root mean square errors (RMSEs) were 1.30 psu and 0.30 psu, respectively. In addition, a sensitivity analysis revealed the importance of SST and the red-wavelength spectral signal for estimating the SSS. Finally, hourly estimated SSS images were used to illustrate the hourly CDW distribution. With the model developed in this study, the near real-time SSS distribution in the East China Sea (ECS) can be monitored using GOCI and SST data.

scholarly journals Two new karlotoxins found in Karlodinium veneficum (strain GM2) from the East China Sea

Harmful Algae ◽  
2016 ◽  
Vol 58 ◽  
pp. 66-73 ◽  
Author(s):  
Pengjie Cai ◽  
Shan He ◽  
Chengxu Zhou ◽  
Allen R. Place ◽  
Saddef Haq ◽  
...  
Keyword(s):  
East China Sea ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Karlodinium Veneficum

Newly recorded Karlodinium veneficum dinoflagellate blooms in stratified water of the East China Sea

2014 ◽  
Vol 101 ◽  
pp. 237-243 ◽  
Author(s):  
Xinfeng Dai ◽  
Douding Lu ◽  
Weibing Guan ◽  
Hongxia Wang ◽  
Piaoxia He ◽  
...  
Keyword(s):  
East China Sea ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Karlodinium Veneficum

Seed populations of a harmful unarmored dinoflagellate Cochlodinium polykrikoides Margalef in the East China Sea

Harmful Algae ◽  
2010 ◽  
Vol 9 (6) ◽  
pp. 548-556 ◽  
Author(s):  
Kazumi Matsuoka ◽  
Akane Mizuno ◽  
Mitsunori Iwataki ◽  
Yoshihito Takano ◽  
Toshifumi Yamatogi ◽  
...  
Keyword(s):  
East China Sea ◽  
East China ◽  
Cochlodinium Polykrikoides ◽  
The East China Sea ◽  
China Sea

First observation of Karlodinium veneficum from the East China Sea and the coastal waters of Germany

2011 ◽  
Vol 30 (6) ◽  
pp. 112-121 ◽  
Author(s):  
Hongxia Wang ◽  
Douding Lu ◽  
Haiyan Huang ◽  
Jeanette Göbel ◽  
Xinfeng Dai ◽  
...  
Keyword(s):  
East China Sea ◽  
Coastal Waters ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Karlodinium Veneficum

scholarly journals Interactions between Karlodinium veneficum and Prorocentrum donghaiense from the East China Sea

Harmful Algae ◽  
2015 ◽  
Vol 49 ◽  
pp. 50-57 ◽  
Author(s):  
Chengxu Zhou ◽  
Allen R. Place ◽  
Xiaojun Yan ◽  
Jilin Xu ◽  
Qijun Luo ◽  
...  
Keyword(s):  
East China Sea ◽  
East China ◽  
Prorocentrum Donghaiense ◽  
The East China Sea ◽  
China Sea ◽  
Karlodinium Veneficum
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