Interplay of diverse environmental settings and their influence on the plankton community off Myanmar during the Spring Intermonsoon

Jyothibabu, R.; Win, Ni Ni; Shenoy, Damodar M.; Swe, U. Tint; Pratik, M.; Thwin, Swe; Jagadeesan, L.

doi:10.1016/j.jmarsys.2014.08.003

Cited by 8 publications

(2 citation statements)

References 33 publications

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“…Phytoplankton samples collected from selected depths (0, 20, 40, 60, 80 and 100) on days representing CI, CII, and CIII were filtered through GF/F filters and the samples were analysed for various phytoplankton photosynthetic pigments using High-Performance Liquid Chromatography (HPLC) following standard protocols (van Heukelem, 2002). The laboratory fluorometer data of chlorophyll a was used to standardize the CTD fluorometer data 1 , 18 , 37 , 38 and the regression analysis between the two datasets showed a strong positive relation (y = 1.057 × + 0.070; R² = 0.889; Measured Chl. a = 1.057* CTD Chl.…”

Section: Sampling and Methodsmentioning

confidence: 99%

Response of phytoplankton to heavy cloud cover and turbidity in the northern Bay of Bengal

Jyothibabu

Arunpandi

Jagadeesan

et al. 2018

Sci Rep

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An interesting physiological response of phytoplankton to large fluctuations in underwater photosynthetically active radiation (PAR) levels in the northern Bay of Bengal has been presented here. This study is primarily based on a 12-day time series observation in the northern Bay of Bengal during the peak Southwest Monsoon (July 2012), when the study region was recurrently exposed to alternating cloudy and sunny sky conditions. On overcast days, the PAR available underwater at the time series location (TSL) drastically decreased, with the noontime PAR at the surface water (2 m) usually being ~600 µmol m−2 s−1 on sunny days and declining to ~50 µmol m−2 s−1 on heavily overcast days. Closely linked with the sunny and cloudy days at TSL, chlorophyll a concentration in the water column showed noticeable features; it increased in the upper water column (surface-40 m) and decreased in the lower water column (41–80 m) on cloudy days, while the reverse was the case on sunny days. Based on in-situ and laboratory experimental data, it was observed that these temporal changes in the vertical distribution of chlorophyll a in the northern Bay of Bengal were due to the short-term physiological acclimation of phytoplankton to large changes in underwater PAR.

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Section: Sampling and Methodsmentioning

confidence: 99%

Response of phytoplankton to heavy cloud cover and turbidity in the northern Bay of Bengal

Jyothibabu

Arunpandi

Jagadeesan

et al. 2018

Sci Rep

Self Cite

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“…Its unique biological characteristics (i.e., wide geographical distribution, short reproductive cycle, and occupying a central position in the aquatic food webs) determine their importance in AFwEEs (Bondarenko et al, 2019). Jyothibabu et al (2014) found that phytoplankton is very sensitive to the change of habitat environment. Namely, on the one hand, the change of its assemblage can not only re ect the change of water environment, but also predict the development and evolution trend of water in AFwEEs.…”

Section: Introductionmentioning

confidence: 99%

Temporal variation revealed the composition change of phytoplankton assemblage responds to varied environmental indicators within an artificial freshwater engineered ecosystem

Xu¹,

Wang²,

Chen³

et al. 2021

Preprint

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Artificial freshwater engineering ecosystems (AFwEEs) have attracted more and more attention. Phytoplankton is critical to the fluctuation of water quality in the AFwEEs. However, there is still a major knowledge gap regarding the ecology, composition, and temporal dynamics of phytoplankton assemblage composition in AFwEEs. Hence, an AFwEEs designed base on the submerged macrophytes (i.e., Vallisneria natans, Najas marina, and Potamogeton crispus) and fishes (i.e., Hypophthalmichthys molitrix, Hypophthalmichthys nobilis, and Ctenopharyngodon idellus) was established. The initial purpose for this survey was to conduct almost entire year (April/2019 – December/2019) sampling investigation to explain the interactions and relationship between multifarious environmental indicators and phytoplankton, also for the different phenomenon explanation of composition change in phytoplankton assemblage between AFwEEs and natural water environments. Consequences exhibited the assemblage dynamics of the phytoplankton were significant varied with seasonal succession, in which Cyanophyta dominated the phytoplankton assemblage while the mean relative abundance accounted for 66.4%, and then was Chlorophyta, for 18.8%. Principal component analysis (PCA) demonstrated temporal variation was significant impacted on phytoplankton assemblages. The dominant species, different assemblages, and distribution of phytoplankton were closely related to the dynamic changes of seasonal succession, which might change the composition of phytoplankton assemblage in the FwAEEs. Results of redundancy analysis (RDA) revealed the water temperature, nutrient concentration, DO concentration, and pH value were the main abiotic environmental indicators affecting phytoplankton assemblage. The trend of the four diversity indices indicated the phytoplankton assemblage became more stable in winter while the change extent of that was more significant in summer.

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Epipelagic mesozooplankton communities in the northeastern Indian Ocean off Myanmar during the winter monsoon

Du,

Zeng,

Lin

et al. 2023

Acta Oceanol. Sin.

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Interplay of diverse environmental settings and their influence on the plankton community off Myanmar during the Spring Intermonsoon

Cited by 8 publications

References 33 publications

Response of phytoplankton to heavy cloud cover and turbidity in the northern Bay of Bengal

Response of phytoplankton to heavy cloud cover and turbidity in the northern Bay of Bengal

Temporal variation revealed the composition change of phytoplankton assemblage responds to varied environmental indicators within an artificial freshwater engineered ecosystem

Epipelagic mesozooplankton communities in the northeastern Indian Ocean off Myanmar during the winter monsoon

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