The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Concentration–discharge relationships reflect chemostatic characteristics of US catchments
Abstract
Concentration–discharge relationships have been widely used as clues to the hydrochemical processes that control runoff chemistry. Here we examine concentration–discharge relationships for solutes produced primarily by mineral weathering in 59 geochemically diverse US catchments. We show that these catchments exhibit nearly chemostatic behaviour; their stream concentrations of weathering products such as Ca, Mg, Na, and Si typically vary by factors of only 3 to 20 while discharge varies by several orders of magnitude. Similar patterns are observed at the inter‐annual time scale. This behaviour implies that solute concentrations in stream water are not determined by simple dilution of a fixed solute flux by a variable flux of water, and that rates of solute production and/or mobilization must be nearly proportional to water fluxes, both on storm and inter‐annual timescales. We compared these catchments' concentration–discharge relationships to the predictions of several simple hydrological and geochemical models. Most of these models can be forced to approximately fit the observed concentration–discharge relationships, but often only by assuming unrealistic or internally inconsistent parameter values. We propose a new model that also fits the data and may be more robust. We suggest possible tests of the new model for future studies. The relative stability of concentration under widely varying discharge may help make aquatic environments habitable. It also implies that fluxes of weathering solutes in streams, and thus fluxes of alkalinity to the oceans, are determined primarily by water fluxes. Thus, hydrology may be a major driver of the ocean‐alkalinity feedback regulating climate change. Copyright © 2009 John Wiley & Sons, Ltd.
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Cites
Baltosser, W. H., & Zar, J. H. (1996) · Ecology · doi:10.2307/2265725 · Cited by 35,166
Study and interpretation of the chemical characteristics of natural water
(1959) · doi:10.3133/wsp1473_ed1 · Cited by 5,749
Aqueous Environmental Geochemistry
Langmuir, D. (1997) · Cited by 1,970
Aqueous Environmental Geochemistry
Bowman, R. S. (1997) · Eos, Transactions American Geophysical Union · doi:10.1029/97eo00355 · Cited by 1,951
A review and evaluation of catchment transit time modeling
McGuire, K. J., & McDonnell, J. J. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2006.04.020 · Cited by 915
Kirchner, J. W. (2009) · Water Resources Research · doi:10.1029/2008wr006912 · Cited by 854
Self-citationSilicate as regulating nutrient in phytoplankton competition
Egge, J., & Aksnes, D. (1992) · Marine Ecology Progress Series · doi:10.3354/meps083281 · Cited by 777
Ragueneau, O., Tréguer, P., Leynaert, A., Anderson, R. F., Brzezinski, M. A., DeMaster, D. J., Dugdale, R. C., Dymond, J., Fischer, G., François, R., et al. (2000) · Global and Planetary Change · doi:10.1016/s0921-8181(00)00052-7 · Cited by 769
The effect of land plants on weathering rates of silicate minerals
Drever, J. I. (1994) · Geochimica et Cosmochimica Acta · doi:10.1016/0016-7037(94)90013-2 · Cited by 551
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Grimm, N. B., Chapin, F. S., Bierwagen, B., Gonzalez, P., Groffman, P. M., Luo, Y., Melton, F., Nadelhoffer, K., Pairis, A., Raymond, P. A., et al. (2013) · Frontiers in Ecology and the Environment · doi:10.1890/120282 · Cited by 647
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Hrachowitz, M., Benettin, P., van Breukelen, B. M., Fovet, O., Howden, N. J. K., Ruiz, L., van der Velde, Y., & Wade, A. J. (2016) · WIREs Water · doi:10.1002/wat2.1155 · Cited by 346
Thompson, S. E., Basu, N. B., Lascurain, J., Aubeneau, A., & Rao, P. S. C. (2011) · Water Resources Research · doi:10.1029/2010wr009605 · Cited by 324
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Metadata
- Authors
- Godsey, S. E., Kirchner, J. W., & Clow, D. W.
- Venue
- Hydrological Processes
- Publisher
- Wiley
- Published
- 2009-05-07
- Volume
- 23
- Issue
- 13
- Pages
- 1844-1864
- ISSN
- 0885-6087 (ISSN-L)
- 1099-1085
- OpenAlex
- W2042162941
- Cited by
- 855
- References
- 40
- FWCI
- 21.58
- Type
- journal article
- Language
- en
- Open access
- closed
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