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dc.contributor.authorBergamino, N.
dc.contributor.authorHorion, S.
dc.contributor.authorStenuite, S.
dc.contributor.authorCornet, Y.
dc.contributor.authorLoiselle, SA.
dc.contributor.authorPlisnier , P-D.
dc.contributor.authorDescy, J-P.
dc.date2010
dc.date.accessioned2016-03-15T10:03:47Z
dc.date.available2016-03-15T10:03:47Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/798
dc.descriptionLake Tanganyika, the second largest freshwater ecosystem in Africa, is characterised by a significant<br>heterogeneity in phytoplankton concentration linked to its particular hydrodynamics. To gather a proper<br>understanding of primary production, it is necessary to consider spatial and temporal dynamics throughout<br>the lake. In the present work, daily MODIS-AQUA satellite measurements were used to estimate chlorophyll-a<br>concentrations and the diffuse attenuation coefficient (K490) for surface waters. The spatial regionalisation of<br>Lake Tanganyika, based on Empirical Orthogonal Functions of the chlorophyll-a dataset (July 2002 November<br>2005), allowed for the separation of the lake in 11 spatially coherent and co-varying regions, with 2 delocalised<br>coastal regions. Temporal patterns of chlorophyll-a showed significant differences between regions.<br>Estimation of the daily primary production in each region indicates that the dry season is more productive<br>than the wet season in all regions with few exceptions. Whole-lake daily primary productivity calculated on an<br>annual basis (2003) was 646±142mgC m&#8722;2 day&#8722;1. Comparing our estimation to previous studies,<br>photosynthetic production in Lake Tanganyika appears to be presently lower (about 15%), which is consistent<br>with other studies which used phytoplankton biovolume and changes of &#948;13C in the lake sediments. The<br>decrease in lake productivity in recent decades may be associated to changes in climate conditions.
dc.languageeng
dc.publisherElsevier
dc.titleSpatio-temporal dynamics of phytoplankton and primary production in Lake Tanganyika using a MODIS based bio-optical time series
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeSurface environments and collection management
dc.source.titleRemote Sensing of Environment
dc.source.volume114 (4)
dc.source.page772-780
Orfeo.peerreviewedYes
dc.identifier.doi:10.1016/j.rse.2009.11.013
dc.identifier.rmca621


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