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Laurent Bopp - One of the best experts on this subject based on the ideXlab platform.

  • Towards understanding global variability in ocean Carbon‐13
    Global Biogeochemical Cycles, 2008
    Co-Authors: Alessandro Tagliabue, Laurent Bopp
    Abstract:

    [1] We include a prognostic parameterization of Carbon-13 into a global ocean-biogeochemistry model to investigate the spatiotemporal variability in ocean Carbon-13 between 1860 and 2000. Carbon-13 was included in all 10 existing Carbon pools, with dynamic fractionations occurring during photosynthesis, gas exchange and Carbonate chemistry. We find that ocean distributions of δ13CDIC at any point in time are controlled by the interplay between biological fractionation, gas exchange, and ocean mixing. In particular, the deep ocean δ13CDIC is sensitive (by > 0.5‰) to the degree of ocean ventilation. On interannual timescales, although the variability in δ13CDIC is a first order function of the atmospheric δ13CO2 and overall Carbon flux, the spatial distributions are controlled by the degree to which surface waters are exposed to the atmosphere. The δ13CPOC is highly sensitive to the species of inorganic Carbon assimilated during photosynthesis (by 10 to 17‰), as well as the intrinsic growth rate and in situ [CO2(aq)], suggesting that phytoplankton utilize both HCO3− and CO2(aq). The relationship between Δδ13CDIC and anthropogenic Carbon (Cant) varies by ±70% regionally and circulation and biotic effects can influence estimates of Cant that are based on Δδ13CDIC.

  • towards understanding global variability in ocean Carbon 13
    Global Biogeochemical Cycles, 2008
    Co-Authors: Alessandro Tagliabue, Laurent Bopp
    Abstract:

    [1] We include a prognostic parameterization of Carbon-13 into a global ocean-biogeochemistry model to investigate the spatiotemporal variability in ocean Carbon-13 between 1860 and 2000. Carbon-13 was included in all 10 existing Carbon pools, with dynamic fractionations occurring during photosynthesis, gas exchange and Carbonate chemistry. We find that ocean distributions of δ13CDIC at any point in time are controlled by the interplay between biological fractionation, gas exchange, and ocean mixing. In particular, the deep ocean δ13CDIC is sensitive (by > 0.5‰) to the degree of ocean ventilation. On interannual timescales, although the variability in δ13CDIC is a first order function of the atmospheric δ13CO2 and overall Carbon flux, the spatial distributions are controlled by the degree to which surface waters are exposed to the atmosphere. The δ13CPOC is highly sensitive to the species of inorganic Carbon assimilated during photosynthesis (by 10 to 17‰), as well as the intrinsic growth rate and in situ [CO2(aq)], suggesting that phytoplankton utilize both HCO3− and CO2(aq). The relationship between Δδ13CDIC and anthropogenic Carbon (Cant) varies by ±70% regionally and circulation and biotic effects can influence estimates of Cant that are based on Δδ13CDIC.

Alessandro Tagliabue - One of the best experts on this subject based on the ideXlab platform.

  • Towards understanding global variability in ocean Carbon‐13
    Global Biogeochemical Cycles, 2008
    Co-Authors: Alessandro Tagliabue, Laurent Bopp
    Abstract:

    [1] We include a prognostic parameterization of Carbon-13 into a global ocean-biogeochemistry model to investigate the spatiotemporal variability in ocean Carbon-13 between 1860 and 2000. Carbon-13 was included in all 10 existing Carbon pools, with dynamic fractionations occurring during photosynthesis, gas exchange and Carbonate chemistry. We find that ocean distributions of δ13CDIC at any point in time are controlled by the interplay between biological fractionation, gas exchange, and ocean mixing. In particular, the deep ocean δ13CDIC is sensitive (by > 0.5‰) to the degree of ocean ventilation. On interannual timescales, although the variability in δ13CDIC is a first order function of the atmospheric δ13CO2 and overall Carbon flux, the spatial distributions are controlled by the degree to which surface waters are exposed to the atmosphere. The δ13CPOC is highly sensitive to the species of inorganic Carbon assimilated during photosynthesis (by 10 to 17‰), as well as the intrinsic growth rate and in situ [CO2(aq)], suggesting that phytoplankton utilize both HCO3− and CO2(aq). The relationship between Δδ13CDIC and anthropogenic Carbon (Cant) varies by ±70% regionally and circulation and biotic effects can influence estimates of Cant that are based on Δδ13CDIC.

  • towards understanding global variability in ocean Carbon 13
    Global Biogeochemical Cycles, 2008
    Co-Authors: Alessandro Tagliabue, Laurent Bopp
    Abstract:

    [1] We include a prognostic parameterization of Carbon-13 into a global ocean-biogeochemistry model to investigate the spatiotemporal variability in ocean Carbon-13 between 1860 and 2000. Carbon-13 was included in all 10 existing Carbon pools, with dynamic fractionations occurring during photosynthesis, gas exchange and Carbonate chemistry. We find that ocean distributions of δ13CDIC at any point in time are controlled by the interplay between biological fractionation, gas exchange, and ocean mixing. In particular, the deep ocean δ13CDIC is sensitive (by > 0.5‰) to the degree of ocean ventilation. On interannual timescales, although the variability in δ13CDIC is a first order function of the atmospheric δ13CO2 and overall Carbon flux, the spatial distributions are controlled by the degree to which surface waters are exposed to the atmosphere. The δ13CPOC is highly sensitive to the species of inorganic Carbon assimilated during photosynthesis (by 10 to 17‰), as well as the intrinsic growth rate and in situ [CO2(aq)], suggesting that phytoplankton utilize both HCO3− and CO2(aq). The relationship between Δδ13CDIC and anthropogenic Carbon (Cant) varies by ±70% regionally and circulation and biotic effects can influence estimates of Cant that are based on Δδ13CDIC.

Narao Takao - One of the best experts on this subject based on the ideXlab platform.

G. Martin - One of the best experts on this subject based on the ideXlab platform.

  • Carbon 13 NMR spectroscopy: a powerful tool for studying renal metabolism
    Biochimie, 2003
    Co-Authors: G Baverel, A. Conjard, Marie-france Chauvin, B. Vercoutere, A. Vittorelli, L. Dubourg, Catherine Gauthier, C. Michoudet, D. Durozard, G. Martin
    Abstract:

    Using precise examples, this paper shows that Carbon 13 NMR spectroscopy in conjunction with radioactive and enzymatic methods as well as with adequate mathematical modeling of metabolic pathways allows not only to identify but also to quantify fluxes through enzymes involved in substrate and drug metabolism. Carbon 13 NMR spectroscopy is a tool of unprecedented power to unravel the complexity of renal metabolism. Currently it plays a major role in what is nowadays called metabolomics.

Shinichi Ueji - One of the best experts on this subject based on the ideXlab platform.