The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A hydrogeomorphic river network model predicts where and why hyporheic exchange is important in large basins
Open accessAbstract
Hyporheic exchange has been hypothesized to have basin-scale consequences; however, predictions throughout river networks are limited by available geomorphic and hydrogeologic data and by models that can analyze and aggregate hyporheic exchange flows across large spatial scales. We developed a parsimonious but physically based model of hyporheic flow for application in large river basins: Networks with EXchange and Subsurface Storage (NEXSS). We applied NEXSS across a broad range of geomorphic diversity in river reaches and synthetic river networks. NEXSS demonstrates that vertical exchange beneath submerged bed forms rather than lateral exchange through meanders dominates hyporheic fluxes and turnover rates along river corridors. Per kilometer, low-order streams have a biogeochemical potential at least 2 orders of magnitude larger than higher-order streams. However, when biogeochemical potential is examined per average length of each stream order, low- and high-order streams were often found to be comparable. As a result, the hyporheic zone's intrinsic potential for biogeochemical transformations is comparable across different stream orders, but the greater river miles and larger total streambed area of lower order streams result in the highest cumulative impact from low-order streams. Lateral exchange through meander banks may be important in some cases but generally only in large rivers.
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Cites
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Raymond, P. A., Hartmann, J., Lauerwald, R., Sobek, S., McDonald, C., Hoover, M., Butman, D., Striegl, R., Mayorga, E., Humborg, C., et al. (2013) · Nature · doi:10.1038/nature12760 · Cited by 2,553
Continental-Scale Effects of Nutrient Pollution on Stream Ecosystem Functioning
Woodward, G., Gessner, M. O., Giller, P. S., Gulis, V., Hladyz, S., Lecerf, A., Malmqvist, B., McKie, B. G., Tiegs, S. D., Cariss, H., et al. (2012) · Science · doi:10.1126/science.1219534 · Cited by 663
Cited by
Harvey, J., & Gooseff, M. (2015) · Water Resources Research · doi:10.1002/2015wr017617 · Cited by 433
Self-citationConnectivity as an emergent property of geomorphic systems
Wohl, E., Brierley, G., Cadol, D., Coulthard, T. J., Covino, T., Fryirs, K. A., Grant, G., Hilton, R. G., Lane, S. N., Magilligan, F. J., et al. (2019) · Earth Surface Processes and Landforms · doi:10.1002/esp.4434 · Cited by 411
Denitrification in the Mississippi River network controlled by flow through river bedforms
Gomez-Velez, J. D., Harvey, J. W., Cardenas, M. B., & Kiel, B. (2015) · Nature Geoscience · doi:10.1038/ngeo2567 · Cited by 331
Self-citationAllen, G. H., & Pavelsky, T. M. (2015) · Geophysical Research Letters · doi:10.1002/2014gl062764 · Cited by 160
McDowell, R. W., Cox, N., & Snelder, T. H. (2017) · Journal of Environmental Quality · doi:10.2134/jeq2017.05.0212 · Cited by 31
Metadata
- Authors
- Gomez-Velez, J. D., & Harvey, J. W.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2014-09-19
- Volume
- 41
- Issue
- 18
- Pages
- 6403-6412
- ISSN
- 0094-8276 (ISSN-L)
- OpenAlex
- W1971233020
- Cited by
- 176
- References
- 2
- FWCI
- 9.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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