2021
DOI: 10.1029/2020ms002116
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A Convolution Method to Assess Subgrid‐Scale Interactions Between Flow and Patchy Vegetation in Biogeomorphic Models

Abstract: • Fine-scale flow-vegetation interactions can considerably impact large-scale biogeomorphic feedbacks • Current large-scale biogeomorphic models are too coarse to include these fine-scale interactions • Our computationally-efficient method allows large-scale models to account for fine-scale interactions

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Cited by 14 publications
(26 citation statements)
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References 116 publications
(238 reference statements)
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“…The first approach increases the actual bed shear stress due to surface roughness (τ b ) with a vegetation roughness component (τ v ) (c.f. Gourgue et al, 2020). The second approach reduces the flow momentum with a drag term based on vegetation properties such as density, diameter, height and drag coefficient (c.f.…”
Section: Hydrodynamic Processesmentioning
confidence: 99%
“…The first approach increases the actual bed shear stress due to surface roughness (τ b ) with a vegetation roughness component (τ v ) (c.f. Gourgue et al, 2020). The second approach reduces the flow momentum with a drag term based on vegetation properties such as density, diameter, height and drag coefficient (c.f.…”
Section: Hydrodynamic Processesmentioning
confidence: 99%
“…This can create potential hotspots for biodiversity (Elsey-Quirk et al, 2019) and determine changes in vegetation distribution according to the ability of individual species to tolerate such stresses, which in turn depends on the specific vegetation traits (Leonard and Croft, 2006;Van Wesenbeeck et al, 2008;Schoutens et al, 2020;Schulte Ostermann et al, 2021). On the one hand, some of the abiotic factors, especially the hydrodynamic ones, could be included rather easily in the model, for example by weighting the habitat quality based on stresses calculated from hydrodynamic models or, alternatively, as a function of the distance of each site from marsh edges exposed to the action of waves and currents (see for example Gourgue et al, 2021a;Kalra et al, 2021). On the other hand, however, most of the biotic factors affecting vegetation dynamics are difficult to conceptualize, as they depend on the community ecology of marsh fauna (Gaskins et al, 2020;Burdick et al, 2021;Pennings and He, 2021).…”
Section: Model Limitations and Future Developmentsmentioning
confidence: 99%
“…Our model can be coupled with virtually any hydromorphodynamic model to simulate the intertwined evolution of marsh halophytes and topographic gradients under varying rates of relative sea-level rise and sediment supply. If the models employ different types of grids or spatial resolutions, the coupling can also be performed using subgrid schemes together with appropriate multiscale coupling techniques (e.g., Gourgue et al, 2021a;Gourgue et al, 2021b;Kalra et al, 2021). The evolution of marsh topography at each site will be obtained by a combined geomorphological balance between erosion and sedimentation, computed by the morphodynamic model, and organic production by halophytic vegetation, calculated by the vegetation model.…”
Section: Model Limitations and Future Developmentsmentioning
confidence: 99%
“…There is an urgent need for further developing models of biophysical feedback mechanisms, enabling the projection of possible future morphologic developments within MR schemes. Recent advancements in this regard are presented by Gourgue et al (2020), who developed a computationally efficient model to account for the impact of sub-grid-scale vegetation patches on the relationship between water flow and sediment dynamics. Such knowledge is crucial for the flood defence functionality of saltmarshes, as it defines long-term trends regarding elevation, vegetation type/coverage and features such as marsh cliffs and channels (Reed et al 2018).…”
Section: Considerations On the Effects Of Morphologic Site Evolution On Hwl Attenuation Ratesmentioning
confidence: 99%