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Content available remote Spatial and seasonal variations in the planktonic ciliate community and its relationship with environmental factors in Daya Bay, the South China Sea
100%
Wu F. , Huang J. , Qi Z. , Huang H.
Oceanological and Hydrobiological Studies
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2017
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tom Vol. 46, No. 2
212--222
EN
Planktonic ciliate composition, abundance and its response to environmental change were investigated during four seasons (winter of 2013, spring, summer and autumn of 2014) in Daya Bay, the South China Sea. A total of 41 species belonging to eight orders were identified, 14 of which were dominant. Planktonic ciliate communities showed a distinct seasonal pattern in ciliate abundance and a clear seasonal shift in the taxonomic composition. The largest number of ciliate species occurred in summer, whereas the highest abundance peaked in spring, mainly due to oligotrichids. In terms of spatial distribution, ciliate species were abundant in the area of artificial reefs, and ciliate abundance was higher in the Dapeng Cove aquaculture area and lower at the Daya Bay Nuclear Power Station. Clustering analysis demonstrated that the seasonal variations of the ciliate community structure were more obvious than spatial variations. Multivariate and univariate analyses illustrated that ciliate abundance was significantly correlated with the water nutrient level and chlorophyll-a concentration, temperature, salinity and dissolved oxygen. Moreover, the dominant abiotic environmental factors affecting the spatial pattern of ciliate communities varied between seasons.
2
Content available remote Seasonal variations in the abundance and sinking flux of biogenic silica in Daya Bay, northern South China Sea
88%
Zhao X. , Yang W. , Ma H. , Li J. , Chen M. , Fang Z. , Zhang X. , Zeng J. , Qiu Y. , Zheng M.
Oceanologia
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2019
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tom No. 61 (2)
239--251
EN
Coastal seas account for > 50% of the biogenic silica (BSi) production in marine environments. However, BSi sinking is poorly understood. Here, seasonal variations in the abundance and sinking flux of BSi were investigated in Daya Bay, in the northern South China Sea. The highest BSi concentrations occurred in summer, averaging 8.04 ± 5.48 μmol L-1 (±SD), followed by autumn (5.51 ± 3.11 μmol L-1) and spring (3.76 ± 3.06 μmol L-1). The lowest BSi concentration of 2.93 ± 1.34 μmol L-1 was observed in winter. Based on234Th/238U disequilibria, the average BSi sinking fluxes were 7.08 ± 8.62, 10.01 ± 13.95, and 8.30 ± 13.06 mmol Si m-2 d-1 in spring, summer, and autumn, respectively. The lowest flux of 4.19 ± 3.98 mmol Si m-2 d-1was measured in winter. Together with nitrogen fluxes, the Si:N sinking ratios were 0.8:1.0, 1.5:1.0, 1.6:1.0, and 1.4:1.0 in spring, summer, autumn, and winter, respectively, indicating that particle sinking induces the faster removal of Si compared to N in Daya Bay.
3
Content available Using chemometrics to identify water quality in Daya Bay, China
75%
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
EN
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.
4
Content available remote Seasonal patterns and environmental drivers of nirS- and nirK-encoding denitrifiers in sediments of Daya Bay, China
75%
Shi R. , Xu S. , Qi Z. , Huang H. , Liang Q.
Oceanologia
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2019
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tom No. 61 (3)
308--320
EN
The seasonal patterns of the denitrifiers (denitrifying bacteria) in the sediment of Daya Bay, southern China, were examined using quantitative PCR and high-throughput MiSeq sequencing methods in spring, summer and winter. The abundance and diversity of nirS-encoding denitrifiers were much higher than that of nirK-encoding denitrifiers, indicating that the former probably dominated the denitrification processes in sediments of Daya Bay. The average abundance and diversity of nirS-encoding denitrifiers were much higher in spring than that in summer and winter, on the other hand, the abundance of nirK-encoding denitrifiers showed the opposite pattern. The species composition of nirS-encoding denitrifiers community in spring differed significantly from that in summer and winter, whereas, no significant difference existed between summer and winter. The dominant environmental drivers for the diversity of community species were NO2-, NO3- and DO concentrations. The abundances of dominant genera of nirS-encoding denitrifiers, Accumulibacter sp. and Cuprizvidus sp., were significantly higher in summer and winter than that in spring, and were negatively correlated with NO2-, NO3-, and DO concentrations ( p < 0.05). In contrast, the abundances of Azoarcus sp. and Halomonas sp., were highest in spring, and were positively correlated with NO3- and NO2- content (p < 0.05). For nirK-encoding denitrifiers, a significant difference in community composition was observed between spring and winter. No obvious correlation was found between community composition of nirK-encoding denitrifiers and environmental parameters.
5
Content available Seasonal variations in the abundance and sinking flux of biogenic silica in Daya Bay, Northern South China Sea
75%
Zhao X. , Yang W. , Ma H. , Li J. , Chen M. , Fang Z. , Zhang X. , Zeng J. , Qiu Y. , Zheng M.
Oceanologia
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2019
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tom 61
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nr 2
6
Content available remote Short-term variation in zooplankton community from Daya Bay with outbreaks of Penilia avirostris
75%
Li K. , Yin J. , Tan Y. , Huang L. , Song X.
Oceanologia
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2014
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tom No. 56 (3)
583--602
EN
The zooplankton community structure in bays fluctuates as a result of anthropogenic activities in such waters. We focused on the short-term variability of a zooplankton community and compared its differences at the outflow of a nuclear power plant (ONPP), in a marine cage-culture area (MCCA) and in unpolluted waters (UW) in the south-west part of Daya Bay from 28 April to 1 June 2001. Environmental factors and zooplankton abundance differed significantly among stations at ONPP, MCCA and UW: high temperatures and a high zooplankton abundance occurred at ONPP, while a high chlorophyll a concentration and a low zooplankton abundance prevailed in MCCA. Statistical analysis revealed that the zooplankton diversity and abundance could be reduced by the activity of the marine cage-culture in a short time. Penilia avirostris made up an important component of the zooplankton in the study area, its abundance ranging widely from 16 to 7267 indiv. m-3 from April to June and peaking at the ONPP outflow. The outbreak of P. avirostris probably resulted from the combined effects of favourable water temperature, food concentration and its parthenogenetic behaviour.
7
Content available Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002
75%
Wang Y. S. , Lou Z. P. , Sun C. C. , Wu M. L. , Han S. H.
Oceanologia
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2006
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tom 48
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nr 2
EN
This study analyzed seasonal physicochemical and phytoplankton data collected at 12 marine monitoring stations in Daya Bay from 1999 to 2002. Cluster analysis based on water quality and phytoplankton parameters measured at the 12 stations could be grouped into three clusters: cluster I – stations S1,S2 , S7 and S11 in the southern part and the north-eastern part of Daya Bay; cluster II – stations S5, S6,S9 ,S1 0 and S12 in the central and north-eastern parts of Daya Bay; cluster III – stations S3,S 4 and S8 in the cage culture areas in the south-western part of Daya Bay and in the north-western part of the Bay near Aotou harbor. Bivariate correlations between phytoplankton density and the major physical and nutrient factors were calculated for all stations. Factor analysis shows that there were high positive loadings of pH,T IN and the ratio of TIN to PO4-P in the three clusters, which indicates that all the stations in the three clusters were primarily grouped according to their respective nutrient conditions.
8
Monsoon-driven dynamics of water quality by multivariate statistical methods in Daya Bay, South China Sea
63%
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
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nr 4
9
Content available Short-term variation in zooplankton community from Daya Bay with outbreaks of Penilia avirostris
51%
Li K. , Yin J. , Tan Y. , Huang L. , Song X.
Oceanologia
|
2014
|
tom 56
|
nr 3
10
Identification of water quality and benthos characteristics in Daya Bay, China, from 2001 to 2004
51%
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
11
Content available Seasonal patterns and environmental drivers of nirS- and nirK-encoding denitrifiers in sediments of Daya Bay, China
51%
Shi R. , Xu S. , Qi Z. , Huang H. , Liang Q.
Oceanologia
|
2019
|
tom 61
|
nr 3
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