The DOI matches its Crossref record.
Modeling the global ocean iron cycle
Open accessAbstract
We describe a model of the ocean transport and biogeochemical cycling of iron and the subsequent control on export production and macronutrient distributions. Ocean transport of phosphorus and iron are represented by a highly idealized six‐box ocean model. Export production is parameterized simply; it is limited by light, phosphate, and iron availability in the surface ocean. We prescribe the regional variations in aeolian deposition of iron and examine three parameterizations of iron cycling in the deep ocean: (1) net scavenging onto particles, the simplest model; (2) scavenging and desorption of iron to and from particles, analogous to thorium; and (3) complexation. Provided that some unknown parameter values can be set appropriately, all three biogeochemical models are capable of reproducing the broad features of the iron distribution observed in the modern ocean and explicitly lead to regions of elevated surface phosphate, particularly in the Southern Ocean. We compare the sensitivity of Southern Ocean surface macronutrient concentration to increased aeolian dust supply for each parameterization. Both scavenging‐based representations respond to increasing dust supply with a drawdown of surface phosphate in an almost linear relationship. The complexation parameterization, however, asymptotes toward a limited drawdown of phosphate under the assumption that ligand production does not respond to increased dust flux. In the scavenging based models, deep water iron concentrations and, therefore, upwelled iron continually increase with greater dust supply. In contrast, the availability of complexing ligand provides an upper limit for the deep water iron concentration in the latter model.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Rusch, D. B., Halpern, A. L., Sutton, G., Heidelberg, K. B., Williamson, S., Yooseph, S., Wu, D., Eisen, J. A., Hoffman, J. M., Remington, K., et al. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050077 · Cited by 2,060
The biogeochemical cycle of iron in the ocean
Boyd, P. W., & Ellwood, M. J. (2010) · Nature Geoscience · doi:10.1038/ngeo964 · Cited by 992
CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2)
Lovato, T., Peano, D., Butenschön, M., Materia, S., Iovino, D., Scoccimarro, E., Fogli, P. G., Cherchi, A., Bellucci, A., Gualdi, S., et al. (2022) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2021ms002814 · Cited by 426
Sedimentary and mineral dust sources of dissolved iron to the world ocean
Moore, J. K., & Braucher, O. (2008) · Biogeosciences · doi:10.5194/bg-5-631-2008 · Cited by 395
How well do global ocean biogeochemistry models simulate dissolved iron distributions?
Tagliabue, A., Aumont, O., DeAth, R., Dunne, J. P., Dutkiewicz, S., Galbraith, E., Misumi, K., Moore, J. K., Ridgwell, A., Sherman, E., et al. (2016) · Global Biogeochemical Cycles · doi:10.1002/2015gb005289 · Cited by 371
Metadata
- Authors
- Parekh, P., Follows, M. J., & Boyle, E.
- Venue
- Global Biogeochemical Cycles
- Publisher
- American Geophysical Union (AGU)
- Published
- 2004-01-07
- Volume
- 18
- Issue
- 1
- ISSN
- 0886-6236 (ISSN-L)
- 1944-9224
- OpenAlex
- W2121181130
- Cited by
- 172
- References
- 0
- FWCI
- 9.57
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modeling the global ocean iron cycle. https://app.cochat.ai/papers/10.1029/2003gb002061
- The paper
- Parekh, P., Follows, M. J., & Boyle, E. (2004). Modeling the global ocean iron cycle. Global Biogeochemical Cycles. https://doi.org/10.1029/2003gb002061
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.