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Wyszukujesz frazę "Sahu, S." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
First report of Protoperidinium steinii (Dinophyceae) bloom from the coastal marine ecosystem - an observation from tropical Indian waters
Autorzy:
Sathishkumar, R.S.
Sahu, G.
Mohanty, A.K.
Arunachalam, K.D.
Venkatesan, R.
Powiązania:
https://bibliotekanauki.pl/articles/2078883.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
Protoperidinium steinii
Dinophyceae
bloom
marine ecosystem
coastal ecosystem
red tide
eutrophication
backwater
Bengal Bay
India
Opis:
A dense bloom of Protoperidinium steinii was observed in the backwaters adjoining the western Bay of Bengal, Kalpakkam coast, which might be the first report for the world oceans. The brownish-red bloom appeared on 2 October 2019, and it was monitored on alternate days up to 14 October. Surface water temperature was about 27.5°C and salinity was <17 PSU during the bloom. Dissolved inorganic nutrients like nitrate, ammonia, silicate, and phosphate were extremely high compared to that of the coastal waters. The chlorophyll-a maxima (20.95 mg m−3) coincided with the highest Protoperidinium density (113.9 × 104 cells l −1). The contribution of P. steinii ranged from 17−93% of the total phytoplankton population. Since P. steinii is a heterotroph and voracious grazer, low autotroph density was observed during the bloom. No mass mortality of fish or other organisms was observed, thereby indicating the nontoxic nature of the bloom
Źródło:
Oceanologia; 2021, 63, 3; 391-402
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Satellite estimates of the long-term trend in phytoplankton size classes in the coastal waters of North-Western Bay of Bengal
Autorzy:
Miranda, J.
Lotliker, A.A.
Baliareingh, S.K.
Jena, A.K.
Samanta, A.
Sahu, K.C.
Kumar, T.S.
Powiązania:
https://bibliotekanauki.pl/articles/2079007.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Instytut Oceanologii PAN
Tematy:
phytoplankton
size class
coastal water
long-term variability
satellite data
statistical analysis
Bengal Bay
Opis:
The study presents long-term variability in satellite retrieved phytoplankton size classes (PSC) at two coastal sites, off Gopalpur and Visakhapatnam, in the north-western Bay of Bengal. The abundance-based models by Brewin et al. (2010) (B10) and Sahay et al. (2017) (S17), for retrieval of PSC (micro, nano, and picophytoplankton), from satellite data, were validated. Both the models performed well in the retrieval of nano and microphytoplankton. However, B10 performed poorly in retrieving picophytoplankton. The statistical analysis indicated better performance of the S17 model and hence was applied to Moderate Resolution Imaging Spectroradiometer onboard Aqua satellite (MODISA) data to understand the temporal (at monthly climatology) and spatial variability (from nearshore to offshore). The spatial distribution indicated nearshore dominance of micro and offshore dominance of picophytoplankton. In nearshore waters off Gopalpur, microphytoplankton dominated throughout the year except for months of south-west monsoon (June and July) where the dominance of picophytoplankton was observed. All PSC exhibited similar distribution at an annual scale with a primary peak during pre-monsoon (March and April) and a secondary peak during post-monsoon (September— November). However, microphytoplankton concentration during post-monsoon was higher off Gopalpur in comparison to Visakhapatnam. The higher microphytoplankton concentration during pre-monsoon was attributed to recurrent phytoplankton blooms. Whereas, post-monsoon increment could be attributed to enhanced phytoplankton growth by availing nutrients sourced from monsoonal precipitation induced terrigenous influx. The outcome of the present study recommends the use of the S17 model for satellite retrieval of PSC from the north-western Bay of Bengal.
Źródło:
Oceanologia; 2021, 63, 1; 40-50
0078-3234
Pojawia się w:
Oceanologia
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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