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dc.contributor.authorKyewalyanga, M.S.
dc.contributor.authorNaik, R.
dc.contributor.authorHegde, S.
dc.contributor.authorRaman, M.
dc.contributor.authorBarlow, R.
dc.contributor.authorRoberts, M.
dc.date.accessioned2008-01-30T13:25:08Z
dc.date.available2008-01-30T13:25:08Z
dc.date.issued2007
dc.identifier.citationEstuarine coastal and shelf science, Vol.74; 429-436p.
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/678
dc.description.abstractA non-linear model that uses satellite-derived chlorophyll to estimate water-column primary production was developed and tested using data from the Delagoa Bight, where the model results compared well with local estimates. The data were also used to assess variations in phytoplankton biomass and daily water-column primary production (P sub(zr); mg C m sup(-2) day sup(-1)), in relation to physico-chemical variables. The distribution of phytoplankton biomass and primary production was partly influenced by gyre circulation and other water flow in the Bight, such as eddies, eastern Madagascar current and the Agulhas current. The locally-developed model could be applied throughout the region to estimate primary production. For low biomass (less than 0.3 mg m sup(-3)), the model tends to underestimate P sub(zr) in a systematic way. However, such bias could be corrected using a 5 th order polynomial function. After this correction, the PZT estimated using remotely sensed chlorophyll a compared well with that calculated using in situ measurements. This outcome suggests that the model could be implemented for the estimation of mesoscale (regional) or large-scale (global) primary production.
dc.language.isoen
dc.publisherElsevier
dc.subjectphytoplankton
dc.subjectbiomass
dc.subjectprimary production
dc.subjectchlorophyll
dc.subjectremote sensing
dc.subjectwater column
dc.subjectphysicochemical properties
dc.titlePhytoplankton biomass and primary production in Delagoa Bight Mozambique: Application of remote sensing
dc.typeJournal Article


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