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• W2002593030 abstract "abstract Article history:Received 10 November 2011Revised 1 June 2012Accepted 11 July 2012Available online 7 September 2012Keywords:PhytoplanktonPhysico-chemical variablesBay of BengalPCAMultiple regressionSeasonal variations Multivariate statistical methods areused to study the spatial and temporal variations of physico-chemical pa-rameters and phytoplankton floristics of the southwest coast of Bay of Bengal. Over 94 species of phytoplank-ton represented by 77 species of diatoms, 11 species of dinoflagellates and 6 species of blue-green algae wererecorded. Higher phytoplankon species diversity was found in premonsoon when salinity and nitrate concen-trations were low and reactive silicate and inorganic phosphates were moderate, while species diversity waslow during summer with when increased sea surface temperature, salinity and low nutrients availability.During summer season Coscinodiscus centralis, Diatoma vulgare and Rhizosolenia alata were dominant, espe-cially Coscinodiscus sp. distributed in all stations whereas Skeletonema costatum, Biddulphia sinensis andDitylum brightwelli were abundant in the premonsoon season. From principal component analysis and mul-tiple regression analysis, it is evident that variables like sea surface temperature and light extinction coeffi-cient are the most important factors influencing the seasonal pattern of phytoplankton population,although nutrients like nitrate, inorganic phosphate and silicate have also important contributors in derivingphytoplankton population density of this part of the Bay of Bengal.© 2012 Elsevier B.V. All rights reserved." @default.
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• W2002593030 date "2012-10-01" @default.
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• W2002593030 title "Influence of environmental variables on phytoplankton floristic pattern along the shallow coasts of southwest Bay of Bengal" @default.
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• W2002593030 doi "https://doi.org/10.1016/j.algal.2012.07.005" @default.
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