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Modeling the ecosystem response to summer coastal upwelling in the Northern South China Sea

100%

Jiang R., Wang Y.-S.

Oceanologia

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2018

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tom 60

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nr 1

A coupled three-dimensional physical model and a nitrogen-based nutrient, phytoplankton, zooplankton, and detritus (NPZD) ecosystem model were applied to simulate the summer coastal upwelling system over the continental shelf of northern South China Sea (NSCS) and its impact on hydrographic conditions and ecosystem. The simulated results were comprehensively validated against field and satellite measurements. The model results show that the near shore ecosystem of NSCS has significant responses to the summer coastal upwelling system. The Shantou Coast to the Nanri Islands of Fujian province (YD) and the east of the Leizhou Peninsula (QD) are two main regions affected by NSCS summer coast upwelling. During summer, these two coastal areas are characterized by nearshore cold and high salinity upwelling current. Further, the summer coastal upwelling serves as a perfect nutrient pump, which lifts up and advects nutrient-rich current from deep to surface, from inner shelf to about 30 km outer shelf. This nutrient source reaches its maximum in the middle of July and then begins to decrease. However, the maximum phytoplankton and chlorophyll a do not coincide with the maximum nutrients and delay for about 10 days. Because of the intensive seasonal thermocline and the complicated current transporting through Qiongzhou strait, the ecological responding of QD is less pronounced than YD. This study has a better understanding of the physically modulated ecological responses to the NSCS summer coastal upwelling system.

2

Effects of coastal upwelling on picophytoplankton distribution off the coast of Zhanjiang in South China Sea

81%

Wu M.-L., Wang Y.-S., Wang D.-X., Dong J.-D.

Oceanological and Hydrobiological Studies

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2014

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tom 43

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nr 3

3

The effect of multiple heavy metals on ascorbate, glutathione and related enzymes in two mangrove plant seedlings [Kandelia candel and Bruguiera gymnorrhiza]

71%

Huang G.-Y., Wang Y.-S., Sun C.-C., Dong J.-D., Sun Z.-X.

Oceanological and Hydrobiological Studies

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2010

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tom 39

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nr 1

11-25

4

Monsoon-driven dynamics of environmental factors and phytoplankton in tropical Sanya Bay, South China Sea

61%

Wu M.-L., Zhang Y.-Y., Dong J.-D., Cai C.-H., Wang Y.-S., Long L.-J., Zhang S.

Oceanological and Hydrobiological Studies

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2012

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tom 41

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nr 1

5

Using chemometrics to identify water quality in Daya Bay, China

61%

Wu M.-L., Wang Y.-S., Sun C.-C., Wang H., Lou Z.-P., Dong J.-D.

Oceanologia

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2009

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tom 51

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nr 2

217-232

In this paper, chemometric approaches based on cluster analysis, classical and robust principal component analysis were employed to identify water quality in Daya Bay (DYB), China. The results show that these approaches divided water quality in DYB into two groups: stations S3, S8, S10 and S11 belong to cluster A, which lie in Dapeng Cove, Aotou Harbor and the north-eastern part of DYB, where water quality is related mainly to anthropogenic activities. The other stations belong to cluster B, which lie in the southern, central and eastern parts of DYB, where the quality is related mainly to water exchange with the South China Sea. Cluster analysis yields good results as a first exploratory method for evaluating spatial difference, but it fails to demonstrate the relationship between variables and environmental quality on the one hand and the untreated data on the other. However, with the aid of suitable chemometric approaches, the relationship between samples or variables can be investigated. Classical and robust principal component analysis can provide a visual aid for identifying the water environment in DYB, and then extracting specific information about relationships between variables and spatial variation trends in water quality.

6

Effects of polycyclic aromatic hydrocarbons exposure on antioxidant system activities and proline content in Kandelia candel

61%

Song H., Wang Y.-S., Sun C.-C., Wu M.-L., Peng Y.-L., Deng C., Li Q. P.

Oceanological and Hydrobiological Studies

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2011

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tom 40

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nr 3

7

Vertical variations of bacterial community composition in South China Sea determined by DGGE fingerprinting and multivariate analysis

61%

Yin J.-P., Ling J., Dong J.-D., Wu M.-L., Zhang Y.-Y., Wang Y.-S.

Polish Journal of Environmental Studies

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2014

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tom 23

|

nr 5

Vertical variations of bacterial community composition in the South China Sea was investigated on 18 September 2009 by denaturing gradient gel electrophoresis (DGGE) and analyzed by multivariate analysis. Twenty-seven sequences retrieved from DGGE bands fell into five groups based on BLAST analysis. The dominant bacteria were Cyanobacteria (35.7%) and Proteobacteria (39.2%). The DGGE profile showed Proteobacteria mostly obtained from samples from the deeper layers while sequences related to Cyanobacteria only existed in the euphotic layer. Other phylogenetic groups have been identified as Firmicutes (10.7%), Actinobacteria (7.1%), and Deinococcus-Thermus (3.6%). The unweighted pair group method with arithmetic mean has been employed to cluster the samples, and results indicated that all samples tended to group together on the basis of depth and could be further subclassified into two subgroups: Group I (including samples from 0 m, 50 m, 75 m, 100 m, and 150 m) and Group II (including samples from 200 m, 400 m, 500 m, 600 m, 700 m, and 900 m). Canonical correspondence analysis revealed the temperature was the most significant factor in determining the vertical distribution of the bacterial community (P=0.018, P<0.05).

8

Identification of water quality and benthos characteristics in Daya Bay, China, from 2001 to 2004

61%

Wang Y.-S., Sun C.-C., Lou Z.-P., Wang H., Mitchell B. G., Wu M.-L., Sun Z.-X.

Oceanological and Hydrobiological Studies

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2011

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tom 40

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nr 1

9

RNA interference against Biot2, a novel mouse testis - specific gene, inhibits the growth of tumor cells

51%

Wang C. T., Zhang P., Wang Y.-S., Ruan X.-Z., Li Z.-Y., Peng F., Yang H.-S., Wei Y.-Q.

Cellular and Molecular Biology Letters

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2009

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tom 14

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nr 3

363-376

Biot2 is a novel murine testis-specific gene that was first identified using the SEREX technique, and named by our laboratory. Using conventional RT-PCR and real time RT-PCR, we tested the expression profile of Biot2 in normal tissues and various murine tumor cell lines. Using RNA interference, we studied the biological function of Biot2 in tumorigenesis. We applied various types of growth assay, such as the in vitro MTT, colony-forming and BrdU incorporation assays, along with in vivo tumorigenicity assays, to reveal its inhibition of tumor cell proliferation. The results revealed that the Biot2 transcript was detected only and strongly in the testis tissues and abundantly in five types of murine cancer cell line. Treating B16 murine melanoma, LL/2 murine Lewis lung carcinoma and CT26 murine colorectal adenocarcinoma with special shRNA targeting Biot2 can significantly reduce the proliferation rate of these three tumor cell lines in vitro, as measured by the MTT, colony-forming and BrdU incorporation assays. The tumorigenicity of the CT26 cells transfected with special shRNA targeting Biot2 was also decreased distinctly in vivo compared with the control. It was therefore concluded that Biot2 plays a key role in tumorigenesis and could be a potential target for biotherapy.

10

Demonstration of a new indicator for studying upwelling in the Northern South China Sea

51%

Lin L., Wang Y.-S., Sun C.-C., Li N., Wang H., Mitchell B. G., Wu M.-L., Song H., Wu J.-F.

Oceanologia

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2011

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tom 53

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nr 2

In order to demonstrate that silicate (SiO3-Si) can be used as an indicator to study upwelling in the northern South China Sea, hierarchical cluster analysis (CA) and principle component analysis (PCA) were applied to analyse the metrics of the data consisting of 14 physical-chemical-biological parameters at 32 stations. CA categorized the 32 stations into two groups (low and high nutrient groups). PCA was applied to identify five Principal Components (PCs) explaining 78.65% of the total variance of the original data. PCA found important factors that can describe nutrient sources in estuarine, upwelling, and non-upwelling areas. PC4, representing the upwelling source, is strongly correlated to SiO3-Si. The spatial distribution of silicate from the surface to 200 m depth clearly showed the upwelling regions, which is also supported by satellite observations of sea surface temperature.

11

Monsoon-driven dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea

51%

Wu M.-L., Wang Y.-S., Sun C.-C., Sun F.-L., Cheng H., Wang Y.-T., Dong J.-D., Wu J.

Oceanological and Hydrobiological Studies

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2012

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tom 41

|

nr 4

Ograniczanie wyników

Modeling the ecosystem response to summer coastal upwelling in the Northern South China Sea

Effects of coastal upwelling on picophytoplankton distribution off the coast of Zhanjiang in South China Sea

The effect of multiple heavy metals on ascorbate, glutathione and related enzymes in two mangrove plant seedlings [Kandelia candel and Bruguiera gymnorrhiza]

Monsoon-driven dynamics of environmental factors and phytoplankton in tropical Sanya Bay, South China Sea

Using chemometrics to identify water quality in Daya Bay, China

Effects of polycyclic aromatic hydrocarbons exposure on antioxidant system activities and proline content in Kandelia candel

Vertical variations of bacterial community composition in South China Sea determined by DGGE fingerprinting and multivariate analysis

Identification of water quality and benthos characteristics in Daya Bay, China, from 2001 to 2004

RNA interference against Biot2, a novel mouse testis - specific gene, inhibits the growth of tumor cells

Demonstration of a new indicator for studying upwelling in the Northern South China Sea

Monsoon-driven dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea