Remote sensing of assimilation number for marine phytoplankton

Saux Picart, S, Sathyendranath, S, Dowell, M, Moore, T and Platt, T 2014 Remote sensing of assimilation number for marine phytoplankton. Remote Sensing of Environment, 146. 87-96. https://doi.org/10.1016/j.rse.2013.10.032

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Abstract/Summary

Estimating primary production at large spatial scales is key to our understanding of the global carbon cycle. Algorithms to estimate primary production are well established and have been used in many studies with success. One of the key parameters in these algorithms is the chlorophyll-normalised production rate under light saturation (referred to as the light saturation parameter or the assimilation number). It is known to depend on temperature, light history and nutrient conditions, but assigning a magnitude to it at particular space-time points is difficult. In this paper, we explore two models to estimate the assimilation number at the global scale from remotely-sensed data that combine methods to estimate the carbon-to-chlorophyll ratio and the maximum growth rate of phytoplankton. The inputs to the algorithms are the surface concentration of chlorophyll, seasurface temperature, photosynthetically-active radiation af the surface of the sea, sea surface nutrient concentration and mixed-layer depth. A large database of in situ estimates of the assimilation number is used to develop the models and provide elements of validation. The comparisons with in situ observations are promising and global maps of assimilation number are produced.

Item Type:	Publication - Article
Additional Keywords:	OCEANIC PRIMARY PRODUCTION; PHOTOSYNTHETIC PARAMETERS; COMMUNITY STRUCTURE; GROWTH-RATE; CHLOROPHYLL; MODEL; SEA; TEMPERATURE; SURFACE; LIGHT
Subjects:	Ecology and Environment Marine Sciences
Divisions:	Plymouth Marine Laboratory > Science Areas > Sea from Space (expired)
Depositing User:	Mrs Julia Crocker
Date made live:	14 Oct 2014 13:02
Last Modified:	06 Jun 2017 16:12
URI:	https://plymsea.ac.uk/id/eprint/6250

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