The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Iron supply and demand in the upper ocean
Open accessAbstract
Iron is hypothesized to be a limiting micronutrient for ocean primary production. This paper presents an analysis of the iron budget in the upper ocean. The global distribution of annual iron assimilation by phytoplankton was estimated from distributions of satellite‐derived oceanic primary production and measured (Fe:C)cellular ratios. The distributions of iron supply by upwelling/mixing and aeolian deposition were obtained by applying (Fe:NO 3)dissolved ratios to the nitrate supply and by assuming the soluble fraction of mineral aerosols. A lower bound on the rate of iron recycling in the photic zone was estimated as the difference between iron assimilation and supply. Global iron assimilation by phytoplankton for the open ocean was estimated to be 12 × 10 9 mol Fe yr−1. Atmospheric deposition of total Fe is estimated to be 96×10 9 mol Fe yr−1 in the open ocean, with the soluble Fe fraction ranging between 1 and 10% (or 1‐10 ×10 9 mol Fe yr−1). By comparison, the upwelling/entrainment supply of dissolved Fe to the upper ocean is small, ∼0.7×10 9 mol Fe yr−1. Uncertainties in the aeolian flux and assimilation may be as large as a factor of 5‐10 but remain difficult to quantify, as information is limited about the form and transformation of iron from the soil to phytoplankton incorporation. An iron stress index, relating the (Fe:N) demand to the (Fe :N) supply, confirms the production in the high‐nitrate low‐chlorophyll regions is indeed limited by iron availability.
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Cites
An estimate of global primary production in the ocean from satellite radiometer data
Longhurst, A., Sathyendranath, S., Platt, T., & Caverhill, C. (1995) · Journal of Plankton Research · doi:10.1093/plankt/17.6.1245 · Cited by 1,480
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Cited by
The Global Carbon Cycle: A Test of Our Knowledge of Earth as a System
Falkowski, P., Scholes, R. J., Boyle, E., Canadell, J., Canfield, D., Elser, J., Gruber, N., Hibbard, K., Högberg, P., Linder, S., et al. (2000) · Science · doi:10.1126/science.290.5490.291 · Cited by 2,177
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
Self-citationUpper ocean ecosystem dynamics and iron cycling in a global three-dimensional model
Moore, J. K., Doney, S. C., & Lindsay, K. (2004) · Global Biogeochemical Cycles · doi:10.1029/2004gb002220 · Cited by 889
Self-citationEcosystem dynamics based on plankton functional types for global ocean biogeochemistry models
Quéré, C. L., Harrison, S. P., Colin Prentice, I., Buitenhuis, E. T., Aumont, O., Bopp, L., Claustre, H., Cotrim Da Cunha, L., Geider, R., Giraud, X., et al. (2005) · Global Change Biology · doi:10.1111/j.1365-2486.2005.1004.x · Cited by 849
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
Metadata
- Authors
- Fung, I. Y., Meyn, S. K., Tegen, I., Doney, S. C., John, J. G., & Bishop, J. K. B.
- Venue
- Global Biogeochemical Cycles
- Publisher
- American Geophysical Union (AGU)
- Published
- 2000-03
- Volume
- 14
- Issue
- 1
- Pages
- 281-295
- ISSN
- 0886-6236 (ISSN-L)
- 1944-9224
- OpenAlex
- W2094785557
- Cited by
- 529
- References
- 3
- FWCI
- 19.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Fung, I. Y., Meyn, S. K., Tegen, I., Doney, S. C., John, J. G., & Bishop, J. K. B. (2000). Iron supply and demand in the upper ocean. Global Biogeochemical Cycles. https://doi.org/10.1029/1999gb900059
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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.