Substantial intra-basin variation of the dissolved metal/phosphorus ratio in the different water masses of the Indian Ocean

The first simultaneous, full-depth, and basin-scale section-distribution of dissolved (D) aluminum (Al), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu),  zinc (Zn), cadmium (Cd), and lead (Pb) is reported in the Indian Ocean. In addition to widespread co-limitation for phytoplankton production by dissolved iron (DFe) and occurrence of redox-related processes, the authors observe an important variability of the dissolved metal/phosphorus ratio among the water masses within the Indian ocean (up to a factor of 300 between Arabian Surface waters and Lower Circumpolar Deep Water). The Cu/P, Zn/P, and Cd/P ratios are within the same order of magnitude for both phytoplankton and deep water, whereas the Mn/P, Fe/P, and Co/P ratios of phytoplankton can increase 100-fold or more compared to those in deep water. Such results are questioning the validity of using an “extended Redfield ratio” to trace metals. The consistent mechanism yielding these variations remains to be understood...

Meridional section distribution (~70°E) of the DMn/DAl ratio

Figure: Meridional section distribution (~70°E) of the DMn/DAl ratio.

Reference:

Thi Dieu Vu, H., Sohrin, Y. (2013) Diverse stoichiometry of dissolved trace metals in the Indian Ocean, Scientific Reports 3, DOI: 10.1038/srep01745

Latest highlights

Oceanic lead concentrations and isotopes mapped using explainable machine learning

Using three machine learning models, Olivelli and her colleagues generated global climatologies of lead concentrations and isotopes…

Dissolved nickel sources: transformation and sinks in the Arabian Sea

Malla and co-authors present an extensive study of the distribution of dissolved nickel in the Arabian Sea.

Linking cadmium cycling to phosphate dynamics in the Indian Ocean: Evidence from GEOTRACES transects

Mishra and Singh determined cadmium and phosphate concentrations along 34 complete vertical profiles in the Indian Ocean.

New software enables global ocean biogeochemical modeling in Python

The newly designed tmm4py software makes biogeochemical modelling more widely accessible.

Rechercher