Relationship between photosynthetic parameters and different proxies of phytoplankton biomass in the subtropical ocean

International audienceProbably because it is a readily available ocean color product, almost all models of primary productivity use chlorophyll as their index of phytoplankton biomass. As other variables become more readily available, both from remote sensing and in situ autonomous platforms, we should ask if other indices of biomass might be preferable. Herein, we compare the accuracy of different proxies of phytoplankton biomass for estimating the maximum photosynthetic rate (<I>P</I>_max) and the initial slope of the production versus irradiance (P vs. E) curve (a). The proxies compared are: the total chlorophyll <I>a</I> concentration (Tchl<I>a</I>, the sum of chlorophyll <I>a</I> and divinyl chlorophyll), the phytoplankton absorption coefficient, the phytoplankton photosynthetic absorption coefficient, the active fluorescence in situ, the particulate scattering coefficient at 650 nm (<I>b_p</I>(650)), and the particulate backscattering coefficient at 650 nm (<I>b_bp</I>(650)). All of the data (about 170 P vs. E curves) were collected in the South Pacific Ocean. We find that when only the phytoplanktonic biomass proxies are available, <I>b_p</I>(650) and Tchl<I>a</I> are respectively the best estimators of <I>P</I>_max and a. When additional variables are available, such as the depth of sampling, the irradiance at depth, or the temperature, Tchl<I>a</I> is the best estimator of both <I>P</I>_max and a