@article{fdi:010060680,
  title = {{P}hytoplankton growth formulation in marine ecosystem models : should we take into account photo-acclimation and variable stoichiometry in oligotrophic areas ?},
  author = {{A}yata, {S}.{D}. and {L}evy, {M}. and {A}umont, {O}livier and {S}ciandra, {A}. and {S}ainte-{M}arie, {J}. and {T}agliabue, {A}. and {B}ernard, {O}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he aim of this study is to evaluate the consequences of accounting for variable {C}hl:{C} (chlorophyll:carbon) and {C}:{N} (carbon:nitrogen) ratios in the formulation of phytoplankton growth in biogeochemical models. {W}e compare the qualitative behavior of a suite of phytoplankton growth formulations with increasing complexity: 1) a {R}edfield formulation (constant {C}:{N} ratio) without photo-acclimation (constant {C}hl:{C} ratio), 2) a {R}edfield formulation with diagnostic chlorophyll (variable and empirical {C}hl:{C} ratio), 3) a quota formulation (variable {C}:{N} ratio) with diagnostic chlorophyll, and 4) a quota formulation with prognostic chlorophyll (dynamic variable). {T}hese phytoplankton growth formulations are embedded in a simple marine ecosystem model in a 1{D} framework at the {B}ermuda {A}tlantic {T}ime-series ({BATS}) station. {T}he model parameters are tuned using a stochastic assimilation method (micro-genetic algorithm) and skill assessment techniques are used to compare results. {T}he lowest misfits with observations are obtained when photo-acclimation is taken into account (variable {C}hl:{C} ratio) and with non-{R}edfield stoichiometry (variable {C}:{N} ratio), both under spring and summer conditions. {T}his indicates that the most flexible models (i.e., with variable ratios) are necessary to reproduce observations. {A}s seen previously, photo-acclimation is essential in reproducing the observed deep chlorophyll maximum and subsurface production present during summer. {A}lthough {R}edfield and quota formulations of {C}:{N} ratios can equally reproduce chlorophyll data the higher primary production that arises from the quota model is in better agreement with observations. {U}nder the oligotrophic conditions that typify the {BATS} site no clear difference was detected between quota formulations with diagnostic or prognostic chlorophyll.},
  keywords = {{B}iogeochemical modeling ; {P}hytoplankton ; {P}hoto-acclimation ; {R}edfield ratio {I}nternal quota ; {BATS} ; {O}ptimization ; {M}icro-genetic algorithm},
  booktitle = {},
  journal = {{J}ournal of {M}arine {S}ystems},
  volume = {125},
  numero = {{SI}},
  pages = {29--40},
  ISSN = {0924-7963},
  year = {2013},
  DOI = {10.1016/j.jmarsys.2012.12.010},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060680},
}