Globalizing results from ocean in situ iron fertilization studies
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Despite the growing number of in situ iron fertilization experiments, the efficiency of such fertilization to sequester atmospheric CO 2 remains largely unknown. For the first time, a global ocean biogeochemical model has been evaluated against those experiments and then used to estimate the effect of a long‐term and large‐scale iron addition on atmospheric CO 2 . The model reproduces the observed timing and amplitude in chlorophyll, the shift in ecosystem composition, and the pCO 2 drawdown; it also proves to be of utility in interpreting the observations. However, a full ocean fertilization during 100 years results in a 33 μatm decrease in atmospheric CO 2 , that is 2 to 3 times smaller than found previously.
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PISCES has been extensively validated and can realistically simulate seasonal, interannual and decadal physical and biogeochemical ocean variability.
“PISCES has been extensively validated and has demonstrated the ability to realistically simulate seasonal, interannual and decadal physical and biogeochemical ocean variability.”
From Global habitat preferences of commercially valuable tuna (2015) · cites this paper as Aumont and Bopp, 2006
Section 3.2 (Chlorophyll; page unavailable) reports that PISCES qualitatively reproduces observed chlorophyll patterns for May and November, supporting a limited claim about seasonal biogeochemical simulation. Section 3 (Model Mean State; page unavailable) explicitly says its comparisons are not an exhaustive validation. The paper does not establish realistic interannual or decadal physical and biogeochemical variability, so the broader claim overstates its evidence. (LLM, conf=0.88)
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- Aumont, O., S. Belviso, and P. Monfray (2002), Dimethylsulfoniopropio- nate (DMSP) and dimethylsulfide (DMS) sea surface distributions simu- lated from a global three-dimensional ocean carbon cycle model, J. Geophys. Res., 107(C4), 3029, doi:10.1029/1999JC000111. · DOI
- Aumont, O., E. Maier-Reimer, S. Blain, and P. Monfray (2003), An eco- system model of the global ocean including Fe, Si, P co-limitation, Glo- bal Biogeochem. Cycles, 17(2), 1060, doi:10.1029/2001GB001745. · DOI
- Croot, P. L., P. Streu, and A. R. Baker (2004), Short residence time for iron in surface seawater impacted by atmospheric dry deposition from Saharan dust events, Geophys. Res. Lett., 31, L23S08, doi:10.1029/ 2004GL020153. · DOI
- de Baar, H. J. W., and J. T. M. de Jong (2001), Distributions, sources and sinks of iron in seawater, in The Biogeochemistry of Iron in Seawater, edited by D. Turner and K. Hunter, pp. 85 -121, John Wiley, Hoboken, N. J. de Baar, H., et al. (2005), Synthesis of iron fertilization experiments: From the Iron Age in the Age of enlightenment, J. Geophys. Res., 110, C09S16, doi:10.1029/2004JC002601. · DOI
- Dufresne, J. L., P. Friedlingstein, M. Berthelot, L. Bopp, P. Ciais, L. Fairhead, H. LeTreut, and P. Monfray (2002), Effects of climate change due to CO 2 increase on land and ocean carbon uptake, Geophys. Res. Lett., 29(10), 1405, doi:10.1029/2001GL013777. · DOI
- Dutkiewicz, S., M. J. Follows, and P. Parekh (2005), Interactions of the iron and phosphorus cycles: A three-dimensional model study, Global Bio- geochem. Cycles, 19, GB1021, doi:10.1029/2004GB002342. · DOI
- Gnanadesikan, A., J. L. Sarmiento, and R. D. Slater (2003), Effects of patchy ocean fertilization on atmospheric carbon dioxide and biological production, Global Biogeochem. Cycles, 17(2), 1050, doi:10.1029/ 2002GB001940. · DOI
- Gnanadesikan, A., J. P. Dunne, R. M. Key, K. Matsumoto, J. L. Sarmiento, R. D. Slater, and P. S. Swathi (2004), Oceanic ventilation and biogeo- chemical cycling: Understanding physical mechanisms that produce rea- listic distributions of tracers and productivity, Global Biogeochem. Cycles, 18, GB4010, doi:10.1029/2003GB002097. · DOI
- Goose, H. (1997), Modelling the large-scale behaviour of the coupled ocean-sea-ice system, Ph.D. thesis, 231 pp., Univ. Cath. de Louvain, Louvain-La-Neuve, Belgium.
- Jickells, T. D., and L. J. Spokes (2001), Atmospheric iron inputs to the oceans, in The Biogeochemistry of Iron in Seawater, edited by D. Turner and K. Hunter, pp. 85 -121, John Wiley, Hoboken, N. J. Jin, X., and N. Gruber (2003), offsetting the radiative benefit of ocean iron fertilization by enhancing N 2 O emissions, Geophys. Res. Lett., 30(24), 2249, doi:10.1029/2003GL018458. · DOI
- Lengaigne, M., G. Madec, C. Menkes, and G. Alory (2003), Effect of isopycnal diffusion in the tropical Pacific Ocean, J. Geophys. Res., 108(C11), 3345, doi:10.1029/2002JC001704. · DOI
- Matear, R., and C. S. Wong (1999), Potential to increase the oceanic CO 2 uptake by enhancing marine productivity in high nutrient low chlorophyll regions, in Greenhouse Gas Control Technologies, edited by B. Eliasson, P. Reimer, and A. Wokaun, pp. 281 -286, Elsevier, New York.
- Menkes, C., J.-P. Boulanger, A. J. Busalacchi, J. J. Vialard, P. Delecluse, M. J. McPhaden, E. Hackert, and N. Grima (1998), Impact of TAO vs. ERS wind stresses onto simulations of the tropical Pacific Ocean during the 1993 -1998 period by the OPA OGCM, in Climatic Impact of Scale Interactions for the Tropical Ocean-Atmosphere System, pp. 46 -48, EuroClivar, Paris.
- Moore, J. K., S. C. Doney, and K. Lindsay (2004), Upper ocean ecosystem dynamics and iron cycling in a global three-dimensional model, Global Biogeochem. Cycles, 18, GB4028, doi:10.1029/2004GB002220. · DOI · Paper page
- Nakisenovic, N., et al. (2000), IPCC Special Report on Emissions Scenar- ios, Cambridge Univ. Press, New York.
- Parekh, P., M. J. Follows, and E. A. Boyle (2004), Decoupling of iron and phosphate in the global ocean, Global Biogeochem. Cycles, GB2020, doi:10.1029/2004GB002280. · DOI
- Rodgers, K. B., B. Blanke, G. Madec, O. Aumont, P. Ciais, and J. C. Dutay (2003), Extratropical sources of Equatorial Pacific upwelling in an OGCM, Geophys. Res. Lett., 30(2), 1084, doi:10.1029/ 2002GL016003. · DOI
- Zeebe, R. E., and D. Archer (2005), Feasibility of ocean fertilization and its impact on future atmospheric CO 2 levels, Geophys. Res. Lett., 32, L09703, doi:10.1029/2005GL022449. Aumont, Laboratoire d'Oce ´anographie et de Climatologie: Expe ´ri- mentation et Approches Nume ´riques, IPSL, Centre IRD de Bretagne, BP70, F-29280 Plouzane ´, France. (olivier.aumont@ird.fr · DOI
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Self-citation
- Authors
- Aumont, O., & Bopp, L.
- Affiliations
- Institut de Recherche pour le Développement (FR)
- Centre National de la Recherche Scientifique (FR)
- ORCID
- Venue
- Global Biogeochemical Cycles
- Publisher
- American Geophysical Union (AGU)
- Published
- 2006-06
- Volume
- 20
- Issue
- 2
- Pages
- GB2017
- ISSN
- 0886-6236 (ISSN-L)
- 1944-9224
- OpenAlex
- W2163256366
- Cited by
- 709
- References
- 0
- Citations by year
- 2026: 15 · 2025: 18 · 2024: 36 · 2023: 27 · 2022: 34 · 2021: 61 · 2020: 40 · 2019: 35 · 2018: 44 · 2017: 39 · 2016: 43 · 2015: 50 · 2014: 44 · 2013: 46 · 2012: 40
- FWCI
- 21.67
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Global Biogeochemical Cycles (publishedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- Schweizerische Akademie der Medizinischen Wissenschaften
- Topics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Geoengineering
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Keywords
- iron fertilization, atmospheric CO2 sequestration, ocean biogeochemical models, chlorophyll, ocean carbon cycle
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