Spatial and temporal distribution of nanoflagellates in the northern South China Sea

Huang, Bangqin; Lan, Wenlu; Cao, Zhimian; Dai, Minhan; Huang, Lingfeng; Jiao, Nianzhi; Hong, Huasheng

doi:10.1007/s10750-008-9330-3

Cited by 27 publications

(19 citation statements)

References 34 publications

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“…The [28], in situ measurements [29], and numerical experiments [30] point to a substantial seasonal variability of IW activity in the northern SCS. Signatures of IW were most frequently observed in the summertime (70% of the annual IW signatures compare to only 1% during the winter).…”

Section: Summary and Discussionmentioning

confidence: 92%

Upper pycnocline turbulence in the northern South China Sea

Liu

Lozovatsky

2012

Chin. Sci. Bull.

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The first regional mapping of the averaged turbulent kinetic energy dissipation rate < p > in the upper pycnocline of the northern South China Sea is presented and discussed. At     20°N and to the north of this latitude, < p > appears to be more than two times larger than that to the south of 20°N. It is suggested that this asymmetry is associated with the predominant northwestward propagation and dissipation of the internal waves originated in the Luzon Strait area. An approximately linear relationship between < p > and the available potential energy of the waves P IW , suggests a characteristic time of the P IW dissipation of about 6 h. turbulence, internal waves, upper pycnocline, South China SeaCitation:

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Section: Summary and Discussionmentioning

confidence: 92%

Upper pycnocline turbulence in the northern South China Sea

Liu

Lozovatsky

2012

Chin. Sci. Bull.

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“…Another piece of evidence pointing to the fact that photosynthesis-respiration dominated the upwelling-influenced nearshore region was derived from the surface chl-a ( Fig. 1; Huang et al, 2008). Most significantly, high chl-a values of >2 µg L −1 were observed at two stations in and around the coastal area of Transect B (Fig.…”

Section: Linking Do To Pco 2 In the Upwelling Induced Highly Productimentioning

confidence: 98%

“…The contrast between productive nearshore and oligotrophic offshore areas in the northern SCS was clearly shown by the chlorophyll a (chl-a) dataset ( Fig. 1; Huang et al, 2008), which was determined by fluorescence analysis of discrete filtered samples, and the standard material was taken by HPLC.…”

Section: Study Area and Survey Transectsmentioning

confidence: 99%

“…Blue arrows sketch major currents in summer based on Hu et al (2000), including the seasonal northeastward coastal current (in summer) along the 50 m isobath, the year-around northeastward South China Sea Warm Current along the 100 m isobath, and a strong yeararound westward South China Sea Branch of Kuroshio. Discretely sampling data of surface chlorophyll-a (chl-a) concentrations were from Huang et al (2008).…”

Section: Introductionmentioning

confidence: 99%

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Coupling of surface <i>p</i>CO<sub>2</sub> and dissolved oxygen in the northern South China Sea: impacts of contrasting coastal processes

2009

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Abstract. We examined the relationship between CO 2 partial pressure (pCO 2 ) and dissolved oxygen (DO) based on a cruise conducted in July 2004 to the northern South China Sea (111 • -118 • E 18 • -23 • N), spanning from estuarine plume, coastal upwelling and deep basin areas. Distinct relationships between pCO 2 and DO saturation were identified in different regimes. In coastal upwelling areas and the Pearl River estuary, biological drawdown of pCO 2 and production of O 2 were simultaneously observed. The two properties were coupled with each other primarily via photosynthesis and respiration. The stoichiometric relationship of the two properties however, was quite different in these two environments due to different values of the Revelle factor. In the offshore areas, apart from the estuary and upwelling, the dynamics of pCO 2 and DO were mainly influenced by airsea exchange during water mixing. Given the fact that airsea re-equilibration of O 2 is much faster than that of CO 2 , the observed pCO 2 -DO relationship deviated from that of the theoretical prediction based on the Redfield relationship in the offshore areas. Although this study is subject to the limited temporal and spatial coverage of sampling, we have demonstrated a simple procedure to evaluate the community metabolic status based on a combination of high-resolution surface pCO 2 and DO measurements, which may have applicability in many coastal systems with a large gradient of changes in their physical and biogeochemical conditions.

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“…In this study, we investigated the vertical patterns of Chl a concentration in this tropical region and looked into the size communities of the DCM layer. ; this sampling protocol is broadly used (e.g., [26,27]). To vividly track the variable deep chlorophyll a maximum (DCM), one more water sample was taken from a depth of maximal fluorescence that was determined by a CTD-mounted fluorometer (termed hereafter real DCM).…”

Section: Introductionmentioning

confidence: 99%

Vertical Patterns of Early Summer Chlorophyll a Concentration in the Indian Ocean with Special Reference to the Variation of Deep Chlorophyll Maximum

Lin

et al. 2012

Journal of Marine Biology

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Vertical patterns of early summer chlorophyll a (Chl a) concentration from the Indian Ocean are presented, as well as the variations of depth and size-fractioned Chl a in the deep chlorophyll maximum (DCM). A total of 38 stations were investigated from 12 April to 5 May 2011, with 8 discrete-depth samples (7 fixed and 1 variable at real DCM) measured at each station. Depth-integrated Chl a concentration ( Chl a) varied from 11.5 to 26.8 mg m −2 , whereas Chl a content at DCM ranged from 0.17 to 0.57 µg L −1 with picophytoplankton (<3 µm) accounting for 82% to 93%. The DCM depth varied from 55.6 to 91 m and shoaled latitudinally to northward. Moreover, our results indicated that the Chl a could be underestimated by up to 9.3% with a routine sampling protocol of collecting samples only at 7 fixed depths as the real DCM was missed. The underestimation was negatively correlated to the DCM depth when it varied from 55.6 to 71.3 m (r = −0.63, P < 0.05) but positively correlated when it ranged from 75.8 to 91 m (r = 0.68, P < 0.01). This indicates that in the Indian Ocean the greater the departure of the DCM from 75 m depth, the greater the underestimation of integrated Chl a concentration that could occur if the real DCM is missed.

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Spatial and temporal distribution of nanoflagellates in the northern South China Sea

Cited by 27 publications

References 34 publications

Upper pycnocline turbulence in the northern South China Sea

Upper pycnocline turbulence in the northern South China Sea

Coupling of surface <i>p</i>CO<sub>2</sub> and dissolved oxygen in the northern South China Sea: impacts of contrasting coastal processes

Vertical Patterns of Early Summer Chlorophyll a Concentration in the Indian Ocean with Special Reference to the Variation of Deep Chlorophyll Maximum

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Spatial and temporal distribution of nanoflagellates in the northern South China Sea

Cited by 27 publications

References 34 publications

Upper pycnocline turbulence in the northern South China Sea

Upper pycnocline turbulence in the northern South China Sea

Coupling of surface &lt;i&gt;p&lt;/i&gt;CO&lt;sub&gt;2&lt;/sub&gt; and dissolved oxygen in the northern South China Sea: impacts of contrasting coastal processes

Vertical Patterns of Early Summer Chlorophyll a Concentration in the Indian Ocean with Special Reference to the Variation of Deep Chlorophyll Maximum

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Coupling of surface <i>p</i>CO<sub>2</sub> and dissolved oxygen in the northern South China Sea: impacts of contrasting coastal processes