Dynamics and size structure of phytoplankton in the coastal waters of Singapore

Gin, Karina Yew-Hoong; Lin, Xia; Zhang, Sheng

doi:10.1093/plankt/22.8.1465

Cited by 125 publications

(88 citation statements)

References 24 publications

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“…and certain diatom (Pseudonitzschia) is worth noted. Other phytoplankton species which are associated with most of the studied area in the estuary indicate the common occurrence as reported before (Gin et al 2003(Gin et al , 2000. The moderate grazing activity of copepod community which is shown by the copepod species in the area could also affect the phytoplankton population density (Li et al 2003).…”

Section: Discussionsupporting

confidence: 68%

Spatial Distribution Trend of Plankton in Sungai Pulai Estuary, the Straits of Johor, Malaysia

Kassim¹,

Yunus²,

Chowdhury³

et al. 2015

JSM

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Section: Discussionsupporting

confidence: 68%

Spatial Distribution Trend of Plankton in Sungai Pulai Estuary, the Straits of Johor, Malaysia

Kassim¹,

Yunus²,

Chowdhury³

et al. 2015

JSM

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“…In contrast, the D P parameter revealed regional differences. High D P values (~0.80-0.90) have been obtained in open ocean waters, e.g., [41,46,52], in consistency with the expected dominance of the picoplankton fraction in these environments [78][79][80]. However, Brotas et al [50] also obtained a high D P value (0.77) in waters of a wide range of trophic status (from eutrophic to oligotrophic).…”

Section: Application Of a Three-component Abundance-based Model To Rementioning

confidence: 65%

Phytoplankton Size Structure in Association with Mesoscale Eddies off Central-Southern Chile: The Satellite Application of a Phytoplankton Size-Class Model

et al. 2018

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Understanding the influence of mesoscale and submesoscale features on the structure of phytoplankton is a key aspect in the assessment of their influence on marine biogeochemical cycling and cross-shore exchanges of plankton in Eastern Boundary Current Systems (EBCS). In this study, the spatio-temporal evolution of phytoplankton size classes (PSC) in surface waters associated with mesoscale eddies in the EBCS off central-southern Chile was analyzed. Chlorophyll-a (Chl-a) size-fractionated filtration (SFF) data from in situ samplings in coastal and coastal transition waters were used to tune a three-component (micro-, nano-, and pico-phytoplankton) model, which was then applied to total Chl-a satellite data (ESA OC-CCI product) in order to retrieve the Chl-a concentration of each PSC. A sea surface, height-based eddy-tracking algorithm was used to identify and track one cyclonic (sC) and three anticyclonic (ssAC1, ssAC2, sAC) mesoscale eddies between January 2014 and October 2015. Satellite estimates of PSC and in situ SFF Chl-a data were highly correlated (0.64 < r < 0.87), although uncertainty values for the microplankton fraction were moderate to high (50 to 100% depending on the metric used). The largest changes in size structure took place during the early life of eddies (~2 months), and no major differences in PSC between eddy center and periphery were found. The contribution of the microplankton fraction was~50% (~30%) in sC and ssAC1 (ssAC2 and sAC) eddies when they were located close to the coast, while nanoplankton was dominant (~60-70%) and picoplankton almost constant (<20%) throughout the lifetime of eddies. These results suggest that the three-component model, which has been mostly applied in oceanic waters, is also applicable to highly productive coastal upwelling systems. Additionally, the PSC changes within mesoscale eddies obtained by this satellite approach are in agreement with results on phytoplankton size distribution

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“…Singapore experiences a mild SW monsoon from June to August and a wetter NE monsoon between November and February. Temporal sea surface temperatures (SST, mean 29.7°C) and salinity variations (mean 30.6 ppt) in Singapore Strait (an area encompassing the research area of the present experiment) are small: during a 3 yr study SST ranged from 28.3 to 31.2°C and salinity ranged from 28.7 to 32.2 ppt (Gin et al 2000). Mean levels of total nitrogen, phosphorus and TSS were 0.55, 0.0016, and 15 mg l -1 , respectively (Gin et al 2000).…”

Section: Methodsmentioning

confidence: 82%

“…Temporal sea surface temperatures (SST, mean 29.7°C) and salinity variations (mean 30.6 ppt) in Singapore Strait (an area encompassing the research area of the present experiment) are small: during a 3 yr study SST ranged from 28.3 to 31.2°C and salinity ranged from 28.7 to 32.2 ppt (Gin et al 2000). Mean levels of total nitrogen, phosphorus and TSS were 0.55, 0.0016, and 15 mg l -1 , respectively (Gin et al 2000). Although the water column is well mixed (Chuang 1977), the coast of Singapore is a low-energy environment with maximum wave heights of 0.4 m during the NE monsoon, receding to 0.1-0.2 m throughout the rest of the year (Pitts 1992).…”

Section: Methodsmentioning

confidence: 82%

Genotype × environment interactions in transplanted clones of the massive corals Favia speciosa and Diploastrea heliopora

Todd¹,

Ladle²,

Lewin-Koh³

et al. 2004

Mar. Ecol. Prog. Ser.

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Environment-dependent variation in the morphological, physiological, or behavioural expression of a genotype is termed phenotypic plasticity. To test for small-scale morphological plasticity in the Indo-Pacific massive corals Favia speciosa (Dana, 1846) and Diploastrea heliopora (Lamark, 1816), fragments (clone-mates) from 12 colonies of each species were reciprocally transplanted among 6 new habitats located within 2 environmental gradients: a depth cline and a nearshore-to-offshore gradient in sedimentation rates and total suspended solids (TSS). After 7 mo, all fragments were collected, cleared of tissue, and 10 morphometric characters extracted from randomly chosen corallites. Reaction norms, analysis of variance, and canonical discriminant analysis describe environmentinduced changes in corallite architecture. These changes are more pronounced in the depth cline than along the sediment gradient. Similarity of response is suggested by exploratory factor analysis where, for both species, size attributes dominate the first factor, antisymmetry the second, and corallite exsertion the third. Highly significant genotype × environment interactions for F. speciosa indicate that, for this species, genotypes vary in the level of plasticity expressed. Light and TSS emerge as the primary correlates influencing morphological change, although other parameters might act additively, synergystically or antagonistically with them. In shallow waters, increased corallite exsertion may enhance light capture or, alternatively, protect the central (oral disc) area of each polyp from harmful UV radiation. Morphological variability, combined with environment-induced changes in pigmentation, could impede accurate identification of these taxa.

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Dynamics and size structure of phytoplankton in the coastal waters of Singapore

Cited by 125 publications

References 24 publications

Spatial Distribution Trend of Plankton in Sungai Pulai Estuary, the Straits of Johor, Malaysia

Spatial Distribution Trend of Plankton in Sungai Pulai Estuary, the Straits of Johor, Malaysia

Phytoplankton Size Structure in Association with Mesoscale Eddies off Central-Southern Chile: The Satellite Application of a Phytoplankton Size-Class Model

Genotype × environment interactions in transplanted clones of the massive corals Favia speciosa and Diploastrea heliopora

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