RETRACTED: Hydrographical parameters and phytoplankton assemblages along the Pondicherry–Nagapattinam coastal waters, southeast coast of India

Sampathkumar, P.; Balakrishnan, S.; Kamalakannan, K.; Sankar, R.; Ramkumar, Lakshmanan; Subramani, Ramesh; Kabilan, N; Sureshkumar, Thambusamy; Thenmozhi, C; Gopinath, Mookapillai; Jayasudha, Sekar; Arokiyasundram, Amalanathan; Lenin, Thiruvarasan; Thangavelu, Balasubramanian

doi:10.1016/j.accre.2015.09.005

Cited by 6 publications

(6 citation statements)

References 27 publications

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“…Only the variation in phosphate concentration was statistically significant for different season (P<0.001). Comparatively higher silicate content than that of other nutrients noticed in the present study is similar to the observation made by Sampathkumar et al, 2015. The silicate concentration has significantly affected the growth of phytoplankton in the inshore waters of Tuticorin (P<0.01).…”

Section: Physicochemical Variables and Influence On Phytoplanktonsupporting

confidence: 90%

“…In the present study, it was observed that the species composition of phytoplankton community varied based on the physicochemical variables of the prevailing ecosystem. Sampathkumar et al (2015). Robertson and Blabber (1992) also indicated that shift in species composition and dominance of phytoplankton could be altered by a range of mechanisms including environmental and biological variables.…”

Section: Methodsmentioning

confidence: 99%

“…The result of the PC2 revealed that rainfall, NO 2 , PO 4 , are positively influencing the phytoplankton, whereas variables like atmospheric temperature, sea surface temperature, salinity, dissolved oxygen, pH, and SiO 3 are negatively affecting the phytoplankton, which is well explained by the 31.7% of the total variance (Table 6). Sampathkumar et al (2015) also indicated that variables like sea surface temperature and dissolved oxygen influence the seasonal pattern of phytoplankton population in the south-east coast of India. The present study also reports the role of sea surface temperature, dissolved oxygen and rainfall on phytoplankton distribution and diversity in the inshore waters of Tuticorin.…”

Section: Physicochemical Variables and Influence On Phytoplanktonmentioning

confidence: 96%

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Distribution and species diversity of phytoplankton in the inshore waters of Tuticorin in relation to the physicochemical variables

Asha¹,

Ranjith²,

Diwakar³

et al. 2018

J.Mar.Biol.Ass.India

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A study was conducted to evaluate the phytoplankton community structure and its relationship with selected physicochemical variables in the inshore waters of Tuticorin during January to December 2008. Water and plankton samples from the surface waters at two depths (5m and 10m) were collected on board the research vessel Cadalmin-IV. Standard methods were followed for phytoplankton identification, enumeration and estimation of physicochemical variables. The present study recorded 69 species of phytoplankton with 85.5% dominance of diatoms followed by 14.5% of dinoflagellates. The overall density of phytoplankton was comparatively higher at 10 m with a mean of 2.14x10 4 ±0.4x10 4 cells L-1 and 3.37x10 4 ±0.9x10 4 cells L-1 at 5 m and 10 m depth respectively. The analysis indicated that 10 m depth, especially during the monsoon season, is rich in diversity of algal species than at the same depth during post-monsoon. It is confirmed that the population density of phytoplankton is more influenced by seasonal fluctuation of the physicochemical variables especially due to the effect of northeast monsoon in the inshore waters of Tuticorin.

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Section: Physicochemical Variables and Influence On Phytoplanktonsupporting

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: Physicochemical Variables and Influence On Phytoplanktonmentioning

confidence: 96%

See 1 more Smart Citation

Distribution and species diversity of phytoplankton in the inshore waters of Tuticorin in relation to the physicochemical variables

Asha¹,

Ranjith²,

Diwakar³

et al. 2018

J.Mar.Biol.Ass.India

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“…In addition, diatoms such as Rhizosolenia can contribute N from the deep waters to the euphotic zone by means of vertical migration and thereby contribute to the fresh supply of N in the ecosystem (Singler & Villareal, 2005). It is evident that the phytoplankton community in the BoB is dominated by diatoms (Sampathkumar et al ., 2015; Biswas et al ., 2017). Thus, reduction of silicate and phosphate might be the result of an abundance of diatoms, which require silicate and phosphate for their growth.…”

Section: Resultsmentioning

confidence: 99%

A bio-physicochemical perspective of the Bay of Bengal

et al. 2020

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Knowledge of bio-physicochemical variables is essential to better understand the functioning of tropical marine ecosystems, which are rich in biodiversity and provide nutrition and livelihoods to billions of people in the developing countries. This study analysed the spatial and temporal variability of phytoplankton and zooplankton with chlorophyll, primary productivity, temperature, salinity, oxygen and nutrients in the Bay of Bengal (BoB), collecting data from the World Ocean, and COPEPOD and Aqua MODIS records. The results indicated a strong gradient in bio-physicochemical conditions of the BoB, from the coast to the open sea. Specifically, the spatial variability in chlorophyll was negatively correlated (R2 = 0.59) with temperature and zooplankton, while a positive correlation (R2 = 0.70) was noted between chlorophyll and silicate, nitrate, phosphate, dissolved oxygen and salinity. All the variables exhibited a strong vertical gradient at depths up to 500 m. Temperature, nutrients, zooplankton and to a lesser extent salinity and rainfall had an influence on the annual abundance of phytoplankton. Over the long term, a significant positive trend in temperature and a significant negative trend in primary productivity were observed in the BoB. The findings of this study will be useful to draw insights on the state of fisheries habitats and the overall environmental conditions of the BoB in response to future climate changes.

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“…The species with a high salinity optimum usually have a quite high tolerance [ 13 ]. Salinity is negatively correlated with phytoplankton biomass [ 14 , 15 ]. Redden & Rukminasari [ 16 ] reported phytoplankton in the lower basin of the Myall Lakes responded to increases in salinity, from 1.5–5.5 ppt, with a decrease in chlorophyll a and an increase in taxonomic diversity.…”

Section: Introductionmentioning

confidence: 99%

Effects of Different Saline-Alkaline Conditions on the Characteristics of Phytoplankton Communities in the Lakes of Songnen Plain, China

et al. 2016

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Many lakes located in the Songnen Plain of China exhibit a high saline-alkaline level. 25 lakes in the Songnen Plain were selected as research objects in this study. Water samples in these lakes were collected from June to August in 2008. Total Dissolved Solids (TDS) and Total Alkalinity (TA) were measured to assess the saline-alkaline level, and partial canonical correspondence analysis (CCA) was conducted as well. The results show that the majority of these lakes in the study area could be categorized into HCO3−-Na+-I type. According to the TDS assessment, of the total 25 lakes, there are 14 for freshwater, 7 for brackish water and 4 for saltwater; and the respective range of TA was from 0.98 to 40.52. The relationship between TA and TDS indicated significant linear relationship (R2 = 0.9292) in the HCO3−-Na+-I type lakes in the Songnen Plain. There was a general trend that cell density, genera richness and taxonomic diversity decreased with the increase of saline-alkaline gradient, whereas a contrary trend was observed for the proportion of dominant species. When the TDS values were above 3×103mg/L and the TA values were above 15mg/L, there was a significant reduction in cell density, genera richness and biodiversity, and their corresponding values were respectively below 10×106 (ind/L), 15 and approximately 2.5. Through the partial canonical correspondence analysis (CCA), 10.7% of the genera variation was explained by pure saline-alkaline variables. Cyclotella meneghiniana, Melosira ambigua and Melosira granulate were found to become the dominant species in most of these lakes, which indicated that there may be rather wide saline-alkaline niches for common dominant species. About one-quarters of the genera which have certain tolerance to salinity and alkalinity preferred to live in the regions with relatively higher saline-alkaline levels in this study.

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RETRACTED: Hydrographical parameters and phytoplankton assemblages along the Pondicherry–Nagapattinam coastal waters, southeast coast of India

Cited by 6 publications

References 27 publications

Distribution and species diversity of phytoplankton in the inshore waters of Tuticorin in relation to the physicochemical variables

Distribution and species diversity of phytoplankton in the inshore waters of Tuticorin in relation to the physicochemical variables

A bio-physicochemical perspective of the Bay of Bengal

Effects of Different Saline-Alkaline Conditions on the Characteristics of Phytoplankton Communities in the Lakes of Songnen Plain, China

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