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A coupled geomorphic and ecological model of tidal marsh evolution
Open accessAbstract
The evolution of tidal marsh platforms and interwoven channel networks cannot be addressed without treating the two-way interactions that link biological and physical processes. We have developed a 3D model of tidal marsh accretion and channel network development that couples physical sediment transport processes with vegetation biomass productivity. Tidal flow tends to cause erosion, whereas vegetation biomass, a function of bed surface depth below high tide, influences the rate of sediment deposition and slope-driven transport processes such as creek bank slumping. With a steady, moderate rise in sea level, the model builds a marsh platform and channel network with accretion rates everywhere equal to the rate of sea-level rise, meaning water depths and biological productivity remain temporally constant. An increase in the rate of sea-level rise, or a reduction in sediment supply, causes marsh-surface depths, biomass productivity, and deposition rates to increase while simultaneously causing the channel network to expand. Vegetation on the marsh platform can promote a metastable equilibrium where the platform maintains elevation relative to a rapidly rising sea level, although disturbance to vegetation could cause irreversible loss of marsh habitat.
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Cited by
Mudd, S. M., D'Alpaos, A., & Morris, J. T. (2010) · Journal of Geophysical Research: Earth Surface · doi:10.1029/2009jf001566 · Cited by 373
Smith, S. M. (2009) · Northeastern Naturalist · doi:10.1656/045.016.0203 · Cited by 92
Twilley, R. R., Day, J. W., Bevington, A. E., Castañeda-Moya, E., Christensen, A., Holm, G., Heffner, L. R., Lane, R., McCall, A., Aarons, A., et al. (2019) · Estuarine, Coastal and Shelf Science · doi:10.1016/j.ecss.2019.106341 · Cited by 67
Smith, S. M., Tyrrell, M. C., & Congretel, M. (2013) · Wetlands Ecology and Management · doi:10.1007/s11273-013-9298-2 · Cited by 10
Metadata
- Authors
- Kirwan, M. L., & Murray, A. B.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-04-10
- Volume
- 104
- Issue
- 15
- Pages
- 6118-6122
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2124307442
- Cited by
- 514
- References
- 0
- FWCI
- 16.49
- Type
- journal article
- Language
- en
- Open access
- green
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