The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
Sedimentary and mineral dust sources of dissolved iron to the world ocean
Open accessAbstract
Abstract. Analysis of a global compilation of dissolved-iron observations provides insights into the processes controlling iron distributions and some constraints for ocean biogeochemical models. The distribution of dissolved iron appears consistent with the conceptual model developed for Th isotopes, whereby particle scavenging is a two-step process of scavenging mainly by colloidal and small particulates, followed by aggregation and removal on larger sinking particles. Much of the dissolved iron (<0.4 μm) is present as small colloids (>~0.02 μm) and, thus, is subject to aggregation and scavenging removal. This implies distinct scavenging regimes for dissolved iron consistent with the observations: 1) a high scavenging regime – where dissolved-iron concentrations exceed the concentrations of strongly binding organic ligands; and 2) a moderate scavenging regime – where dissolved iron is bound to both colloidal and soluble ligands. Within the moderate scavenging regime, biological uptake and particle scavenging decrease surface iron concentrations to low levels (<0.2 nM) over a wide range of low to moderate iron input levels. Removal rates are also highly nonlinear in areas with higher iron inputs. Thus, observed surface-iron concentrations exhibit a bi-modal distribution and are a poor proxy for iron input rates. Our results suggest that there is substantial removal of dissolved iron from subsurface waters (where iron concentrations are often well below 0.6 nM), most likely due to aggregation and removal on sinking particles of Fe bound to organic colloids. We use the observational database to improve simulation of the iron cycle within a global-scale, Biogeochemical Elemental Cycling (BEC) ocean model. Modifications to the model include: 1) an improved particle scavenging parameterization, based on the sinking mass flux of particulate organic material, biogenic silica, calcium carbonate, and mineral dust particles; 2) desorption of dissolved iron from sinking particles; and 3) an improved sedimentary source for dissolved iron. Most scavenged iron (90%) is put on sinking particles to remineralize deeper in the water column. The model-observation differences are reduced with these modifications. The improved BEC model is used to examine the relative contributions of mineral dust and marine sediments in driving dissolved-iron distributions and marine biogeochemistry. Mineral dust and sedimentary sources of iron contribute roughly equally, on average, to dissolved iron concentrations. The sedimentary source from the continental margins has a strong impact on open-ocean iron concentrations, particularly in the North Pacific. Plumes of elevated dissolved-iron concentrations develop at depth in the Southern Ocean, extending from source regions in the SW Atlantic and around New Zealand. The lower particle flux and weaker scavenging in the Southern Ocean allows the continental iron source to be advected far from sources. Both the margin sediment and mineral dust Fe sources substantially influence global-scale primary production, export production, and nitrogen fixation, with a stronger role for the dust source. Ocean biogeochemical models that do not include the sedimentary source for dissolved iron, will overestimate the impact of dust deposition variations on the marine carbon cycle. Available iron observations place some strong constraints on ocean biogeochemical models. Model results should be evaluated against both surface and subsurface Fe observations in the waters that supply dissolved iron to the euphotic zone.
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Summarizing multiple aspects of model performance in a single diagram
Taylor, K. E. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd900719 · Cited by 8,477
Global Iron Connections Between Desert Dust, Ocean Biogeochemistry, and Climate
Jickells, T. D., An, Z. S., Andersen, K. K., Baker, A. R., Bergametti, G., Brooks, N., Cao, J. J., Boyd, P. W., Duce, R. A., Hunter, K. A., et al. (2005) · Science · doi:10.1126/science.1105959 · Cited by 2,881
The Community Climate System Model Version 3 (CCSM3)
Collins, W. D., Bitz, C. M., Blackmon, M. L., Bonan, G. B., Bretherton, C. S., Carton, J. A., Chang, P., Doney, S. C., Hack, J. J., Henderson, T. B., et al. (2006) · Journal of Climate · doi:10.1175/jcli3761.1 · Cited by 2,251
A mesoscale phytoplankton bloom in the polar Southern Ocean stimulated by iron fertilization
Boyd, P. W., Watson, A. J., Law, C. S., Abraham, E. R., Trull, T., Murdoch, R., Bakker, D. C. E., Bowie, A. R., Buesseler, K. O., Chang, H., et al. (2000) · Nature · doi:10.1038/35037500 · Cited by 1,612
Coale, K. H., Johnson, K. S., Fitzwater, S. E., Gordon, R. M., Tanner, S., Chavez, F. P., Ferioli, L., Sakamoto, C., Rogers, P., Millero, F., et al. (1996) · Nature · doi:10.1038/383495a0 · Cited by 1,479
Falkowski, P. G. (1997) · Nature · doi:10.1038/387272a0 · Cited by 1,318
Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology
Zender, C. S., Bian, H., & Newman, D. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2002jd002775 · Cited by 1,261
Atmospheric global dust cycle and iron inputs to the ocean
Mahowald, N. M., Baker, A. R., Bergametti, G., Brooks, N., Duce, R. A., Jickells, T. D., Kubilay, N., Prospero, J. M., & Tegen, I. (2005) · Global Biogeochemical Cycles · doi:10.1029/2004gb002402 · Cited by 1,236
Diurnal to decadal global forcing for ocean and sea-ice models: The data sets and flux climatologies
Large, W. G., & Yeager, S. G. (2004) · doi:10.5065/d6kk98q6 · Cited by 1,089
Armstrong, R. A., Lee, C., Hedges, J. I., Honjo, S., & Wakeham, S. G. (2001) · Deep Sea Research Part II: Topical Studies in Oceanography · doi:10.1016/s0967-0645(01)00101-1 · Cited by 1,064
Cited by
The biogeochemical cycle of iron in the ocean
Boyd, P. W., & Ellwood, M. J. (2010) · Nature Geoscience · doi:10.1038/ngeo964 · Cited by 992
The organic complexation of iron in the marine environment: a review
Gledhill, M. (2012) · Frontiers in Microbiology · doi:10.3389/fmicb.2012.00069 · Cited by 631
Maher, B. A., Prospero, J. M., Mackie, D., Gaiero, D., Hesse, P. P., & Balkanski, Y. (2010) · Earth-Science Reviews · doi:10.1016/j.earscirev.2009.12.001 · Cited by 623
Controls of Trace Metals in Seawater
Bruland, K. W., Middag, R., & Lohan, M. C. (2014) · Treatise on Geochemistry · doi:10.1016/b978-0-08-095975-7.00602-1 · Cited by 502
Feedback Interactions between Trace Metal Nutrients and Phytoplankton in the Ocean
Sunda, W. G. (2012) · Frontiers in Microbiology · doi:10.3389/fmicb.2012.00204 · Cited by 431
Metadata
- Authors
- Moore, J. K., & Braucher, O.
- Venue
- Biogeosciences
- Publisher
- Copernicus GmbH
- Published
- 2008-05-05
- Volume
- 5
- Issue
- 3
- Pages
- 631-656
- ISSN
- 1726-4170 (ISSN-L)
- 1726-4189
- OpenAlex
- W2019476144
- Cited by
- 395
- References
- 100
- FWCI
- 17.41
- Type
- journal article
- Language
- en
- Open access
- gold
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