Earth System Science Data (Feb 2018)

Photosynthesis–irradiance parameters of marine phytoplankton: synthesis of a global data set

  • H. A. Bouman,
  • T. Platt,
  • M. Doblin,
  • F. G. Figueiras,
  • K. Gudmundsson,
  • H. G. Gudfinnsson,
  • B. Huang,
  • A. Hickman,
  • M. Hiscock,
  • T. Jackson,
  • V. A. Lutz,
  • F. Mélin,
  • F. Rey,
  • P. Pepin,
  • V. Segura,
  • G. H. Tilstone,
  • V. van Dongen-Vogels,
  • S. Sathyendranath,
  • S. Sathyendranath

DOI
https://doi.org/10.5194/essd-10-251-2018
Journal volume & issue
Vol. 10
pp. 251 – 266

Abstract

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The photosynthetic performance of marine phytoplankton varies in response to a variety of factors, environmental and taxonomic. One of the aims of the MArine primary Production: model Parameters from Space (MAPPS) project of the European Space Agency is to assemble a global database of photosynthesis–irradiance (P-E) parameters from a range of oceanographic regimes as an aid to examining the basin-scale variability in the photophysiological response of marine phytoplankton and to use this information to improve the assignment of P-E parameters in the estimation of global marine primary production using satellite data. The MAPPS P-E database, which consists of over 5000 P-E experiments, provides information on the spatio-temporal variability in the two P-E parameters (the assimilation number, PmB, and the initial slope, αB, where the superscripts B indicate normalisation to concentration of chlorophyll) that are fundamental inputs for models (satellite-based and otherwise) of marine primary production that use chlorophyll as the state variable. Quality-control measures consisted of removing samples with abnormally high parameter values and flags were added to denote whether the spectral quality of the incubator lamp was used to calculate a broad-band value of αB. The MAPPS database provides a photophysiological data set that is unprecedented in number of observations and in spatial coverage. The database will be useful to a variety of research communities, including marine ecologists, biogeochemical modellers, remote-sensing scientists and algal physiologists. The compiled data are available at https://doi.org/10.1594/PANGAEA.874087 (Bouman et al., 2017).