Articles | Volume 5, issue 4
https://doi.org/10.5194/esurf-5-711-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esurf-5-711-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Nov 2017
Research article |
| 03 Nov 2017
Model predictions of long-lived storage of organic carbon in river deposits
Mark A. Torres
CORRESPONDING AUTHOR
Division of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Ajay B. Limaye
Department of Earth Sciences, University of Minnesota, Minneapolis, MN, USA
Vamsi Ganti
Department of Earth Science & Engineering, Imperial College London, London, England
Michael P. Lamb
Division of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
A. Joshua West
Department of Earth Sciences, University of Southern California, Los Angeles, CA, USA
Woodward W. Fischer
Division of Geological & Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
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- Preservation of organic carbon during active fluvial transport and particle abrasion J. Scheingross et al. 10.1130/G46442.1
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- Quantitative relationships between river and channel-belt planform patterns T. Dong & T. Goudge 10.1130/G49935.1
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- How Do Braided Rivers Grow Channel Belts? A. Limaye 10.1029/2020JF005570
- Eco-morphodynamic carbon pumping by the largest rivers in the Neotropics L. Salerno et al. 10.1038/s41598-023-32511-w
- The impact of vegetation on meandering rivers A. Ielpi et al. 10.1038/s43017-021-00249-6
- Contribution of meandering rivers to natural carbon fluxes: Evidence from the Ucayali River, Peruvian Amazonia R. Walcker et al. 10.1016/j.scitotenv.2021.146056
1 citations as recorded by crossref.
Discussed (final revised paper)
Discussed (preprint)
Latest update: 02 Apr 2025
Short summary
In this paper, we describe a new model for the storage times of sediments and organic carbon (OC) in river deposits. Comparisons between our model predictions and field data show good agreement, which suggests that our model accurately captures the relevant time and space scales. An implication of our model is that OC is stored in river deposits over geologic timescales and, as a result, we propose that fluvial storage plays a larger role in the carbon cycle than previously recognized.
In this paper, we describe a new model for the storage times of sediments and organic carbon...
