Global Biogeochemical Cycles

Dynamic biogeochemical provinces in the global ocean

Authors

  • Gabriel Reygondeau,

    Corresponding author
    1. Institut de Recherche pour le Développement, UMR EME 212, Centre de Recherches Halieutiques Méditerranéennes et Tropicales, Sète, France
    2. Laboratoire d'Océanographie de Villefranche, CNRS–Université Pierre et Marie Curie, Villefranche-sur-Mer, France
    3. Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo, Norway
    • Corresponding author: G. Reygondeau, Institut de Recherche pour le Développement, UMR EME 212, Centre de Recherches Halieutiques Méditerranéennes et Tropicales, av. Jean Monnet, B.P. 171, FR-34203 Sète CEDEX, France. (gabriel.reygondeau@gmail.fr)

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  • Alan Longhurst,

    1. Cajarc, France
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  • Elodie Martinez,

    1. Laboratoire d'Océanographie de Villefranche, CNRS–Université Pierre et Marie Curie, Villefranche-sur-Mer, France
    2. Mediterranean Institute of Oceanography, Aix-Marseille University, IRD UMR 235, CNRS/INSU UMR 7294, Marseille, France
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  • Gregory Beaugrand,

    1. Laboratoire d'Océanologie et de Géosciences, UMR LOG CNRS 8187, Station Marine, Centre National de la Recherche Scientifique, Université des Sciences et Technologies de Lille, Wimereux, France
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  • David Antoine,

    1. Laboratoire d'Océanographie de Villefranche, CNRS–Université Pierre et Marie Curie, Villefranche-sur-Mer, France
    2. Department of Imaging and Applied Physics, Remote Sensing and Satellite Research Group, Curtin University, Perth, Australia
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  • Olivier Maury

    1. Institut de Recherche pour le Développement, UMR EME 212, Centre de Recherches Halieutiques Méditerranéennes et Tropicales, Sète, France
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Abstract

[1] In recent decades, it has been found useful to partition the pelagic environment using the concept of biogeochemical provinces, or BGCPs, within each of which it is assumed that environmental conditions are distinguishable and unique at global scale. The boundaries between provinces respond to features of physical oceanography and, ideally, should follow seasonal and interannual changes in ocean dynamics. But this ideal has not been fulfilled except for small regions of the oceans. Moreover, BGCPs have been used only as static entities having boundaries that were originally established to compute global primary production. In the present study, a new statistical methodology based on non-parametric procedures is implemented to capture the environmental characteristics within 56 BGCPs. Four main environmental parameters (bathymetry, chlorophyll a concentration, surface temperature, and salinity) are used to infer the spatial distribution of each BGCP over 1997–2007. The resulting dynamic partition allows us to integrate changes in the distribution of BGCPs at seasonal and interannual timescales, and so introduces the possibility of detecting spatial shifts in environmental conditions.

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