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Temporal and spatial variability of phytoplankton photosynthetic characteristics in a southern European estuary (Douro, Portugal)

Title
Temporal and spatial variability of phytoplankton photosynthetic characteristics in a southern European estuary (Douro, Portugal)
Type
Article in International Scientific Journal
Year
2010
Authors
Azevedo, IC
(Author)
Other
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Duarte, P
(Author)
Other
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Adriano Bordalo
(Author)
ICBAS
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Journal
Vol. 412
Pages: 29-44
ISSN: 0171-8630
Other information
Authenticus ID: P-003-BX8
Abstract (EN): The timescales of variability in photosynthetic parameters and the relationships between environmental variables and photosynthetic response are important issues for an accurate estimation of phytoplankton primary production, a major feature of aquatic systems. In the present study, variability in phytoplankton photosynthetic parameters of the Douro estuary was analyzed using data from photosynthesis-irradiance (P-E) incubations performed during seasonal tidal cycles, as well as during monthly surveys carried out along a salinity gradient. Tidal surveys were conducted in October 2003 and January, May, and July 2004. Monthly surveys were conducted from December 2002 to December 2003. Diel variability in P-E parameters was highest during the summer survey. The highest values of the biomass-specific maximum photosynthetic rate P-max were generally observed around noon or in the afternoon, and correlated positively with photosynthetic efficiency alpha. Seasonal variability in P-max and alpha was mostly related to temperature and light, whereas photoacclimation seemed to be the most important factor in diel variability. Spatially, variability increased upstream for mean P-max and alpha values, associated with higher chlorophyll a concentration and temperature. By combining a temperature-limiting function with the Steele P-E equation, 60% of P-max variation was explained. Analysis of inter-seasonal, intra-seasonal, and diel variability of photosynthetic parameters suggests that, in the Douro, photosynthetic parameters P-max and alpha are most variable at a seasonal timescale, while for optimal light intensity E-opt, diel variability was, as expected, highest. Thus, predictive models of primary productivity should take into account this seasonal variability when looking at larger timescales.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 16
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