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    Wyświetlanie 1-3 z 3
    Tytuł:
    The atmospheric circulation patterns during dry periods in Lithuania
    Autorzy:
    Rimkus, E.
    Kazys, J.
    Valiukas, D.
    Stankunavicius, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/48255.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    drought
    atmospheric circulation
    hydrothermal coefficient
    dry period
    Lithuania
    cluster analysis
    temperate climate
    Źródło:
    Oceanologia; 2014, 56, 2
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Do seasonal dynamics influence traits and composition of macrobenthic assemblages of Sundarbans Estuarine System, India?
    Autorzy:
    Bhowmik, M.
    Mandal, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2079001.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    seasonal dynamics
    macrobenthic assemblage
    macroinvertebrate
    climate change
    taxonomic analysis
    ecosystem functioning
    biological trait
    estuarine system
    India
    Opis:
    The present study investigates the influence of seasonal dynamics on macrobenthic assemblages in four seasons of 2017—2018 from the central sector of Indian Sundarbans which is under the constant threat of climate change. Besides taxonomic analysis, a traitbased approach has also been applied to assess the change in their ecosystem functioning. The maximum species density (11675 ± 11883.31 ind. m−2) was observed during the spring season which declines considerably in the monsoon season (5875 ± 6224.08 ind. m−2). A total of 95 macrobenthic taxa were recorded from Sundarbans and they were dominated by families like Capitellidae, Donacidae, Magelonidae, Nereididae, Paraonidae and Spionidae. Overall, polychaetes have shown higher taxonomic and functional variation than other groups. Opportunistic polychaete species have shown a prominent compositional shift during post-monsoon seasons. Both the univariate and multivariate analyses have shown a significant relation between macrobenthic composition and environmental parameters. SIMPER has depicted that environmental parameters made the station 4 unique for several types of molluscs like Acteocina estriata, Stenothyra deltae and Meretrix meretrix during spring. Trait percentages also showed a seasonal succession pattern and among the trait categories, burrowers and deposit feeders dominated the estuary. A gradual increase in suspension feeders in spring has been noticed. RLQ approach with fourth-corner analysis was used to unravel the relationship between traits and environmental parameters. Hence, the present study provided a comprehensive idea about the species composition along with their trait categories from such a dynamic habitat. That could be the first stepping stone for a long term monitoring of macrobenthic assemblages from this largest delta on earth.
    Źródło:
    Oceanologia; 2021, 63, 1; 80-98
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Sea surface temperature retrieval from MSG-SEVIRI data in the Baltic Sea area
    Autorzy:
    Wozniak, M.
    Krezel, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/47694.pdf
    Data publikacji:
    2010
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    sea surface temperature
    Baltic Sea
    algorithm
    mid-latitude region
    spatial resolution
    regression analysis
    surface temperature
    marine environment
    climate change
    Opis:
    The aim of the paper was to confirm the proposition that the classical SST algorithms MCSST and NLSST originally prepared for AVHRR data could also be used for Meteosat/SEVIRI data with satisfactory accuracy in the mid-latitude region, where the spatial resolution is about 7×7 km. The research was performed in the southern Baltic Sea (between 13◦E 53◦N and 21◦E 58◦N). Data were collected in all the seasons of 2007. The coefficients were found by means of regression analysis. SSTs determined on the basis of AVHRR data were used in the regression analysis instead of in situ data. A set of paired AVHRR and SEVIRI images spaced no more than 8 minutes apart were compared. The results show that the method is capable of producing sea surface temperatures with a statistical error (standard deviation) of 1◦C.
    Źródło:
    Oceanologia; 2010, 52, 3; 331-344
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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