Multi-Parametric Relationships between PAM Measurements and Carbon Incorporation, an In Situ Approach
| Type | Article | ||||||||
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| Date | 2012-07 | ||||||||
| Language | English | ||||||||
| Author(s) | Napoleon Camille1, 2, 3, Claquin Pascal1, 2 | ||||||||
| Affiliation(s) | 1 : Univ Caen Basse Normandie, BIOMEA CNRS FRE3484, Caen, France. 2 : CNRS INEE, BIOMEA FRE3484, Caen, France. 3 : IFREMER, Lab Environm Ressources Normandie, Port En Bessin, France. |
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| Source | Plos One (1932-6203) (Public Library Science), 2012-07 , Vol. 7 , N. 7 , P. 12 pp. | ||||||||
| DOI | 10.1371/journal.pone.0040284 | ||||||||
| WOS© Times Cited | 28 | ||||||||
| Abstract | Primary production (PP) in the English Channel was measured using C-13 uptake and compared to the electron transport rate (ETR) measured using PAM (pulse amplitude modulated fluorometer). The relationship between carbon incorporation (P-obs) and ETR was not linear but logarithmic. This result can be explained by alternative electron sinks at high irradiance which protect the phytoplankton from photoinhibition. A multi-parametric model was developed to estimate PP by ETR. This approach highlighted the importance of taking physicochemical parameters like incident light and nutrient concentrations into account. The variation in the ETR/P-obs ratio as a function of the light revealed different trends which were characterized by three parameters (R-max, the maximum value of ETR/P-obs; E-Rmax, the light intensity at which R-max is measured; c the initial slope of the curve). Based on the values of these three parameters, data were divided into six groups which were highly dependent on the seasons and on the physicochemical conditions. Using the multi-parametric model which we defined by P-obs and ETR measurements at low frequencies, the high frequency measurements of ETR enabled us to estimate the primary production capacity between November 2009 and December 2010 at high temporal and spatial scales. | ||||||||
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