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Journal articles on the topic 'Ecomorphodynamic'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Bärenbold, F., B. Crouzy, and P. Perona. "Stability analysis of ecomorphodynamic equations." Water Resources Research 52, no. 2 (2016): 1070–88. http://dx.doi.org/10.1002/2015wr017492.

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2

Crouzy, Benoît, Fabian Bärenbold, Paolo D’Odorico, and Paolo Perona. "Ecomorphodynamic approaches to river anabranching patterns." Advances in Water Resources 93 (July 2016): 156–65. http://dx.doi.org/10.1016/j.advwatres.2015.07.011.

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3

Laporte-Fauret, Quentin, Meagan Wengrove, Peter Ruggiero, Sally D. Hacker, and Nicholas Cohn. "A NEW APPROACH ACCOUNTING FOR SPECIES-SPECIFIC PLANT CHARACTERISTICS ON SAND CAPTURE EFFICIENCY IN AN AEOLIAN TRANSPORT MODEL." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 39. https://doi.org/10.9753/icce.v38.sediment.39.

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Coastal dunes are natural landforms that develop in the backshore of sandy coastlines through complex ecomorphodynamic interactions (Hesp, 2002). They provide a wide range of ecosystem services (Barbier et al., 2011) but are threatened by both increasing anthropogenic pressures and climate change (Vousdoukas et al., 2020). In most ecomorphodynamic numerical models which attempt to understand coastal dune evolution, the influence of vegetation on sediment transport is significantly simplified given the complexity of these interactions. Shear stress partitioning models are widely used to assess

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4

Francalanci, S., M. Bendoni, M. Rinaldi, and L. Solari. "Ecomorphodynamic evolution of salt marshes: Experimental observations of bank retreat processes." Geomorphology 195 (August 2013): 53–65. http://dx.doi.org/10.1016/j.geomorph.2013.04.026.

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5

Yousefi Lalimi, F., S. Silvestri, L. J. Moore, and M. Marani. "Coupled topographic and vegetation patterns in coastal dunes: Remote sensing observations and ecomorphodynamic implications." Journal of Geophysical Research: Biogeosciences 122, no. 1 (2017): 119–30. http://dx.doi.org/10.1002/2016jg003540.

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6

D'Alpaos, Andrea. "The mutual influence of biotic and abiotic components on the long-term ecomorphodynamic evolution of salt-marsh ecosystems." Geomorphology 126, no. 3-4 (2011): 269–78. http://dx.doi.org/10.1016/j.geomorph.2010.04.027.

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7

Wolner, Catherine W. V., Laura J. Moore, Donald R. Young, Steven T. Brantley, Spencer N. Bissett, and Randolph A. McBride. "Ecomorphodynamic feedbacks and barrier island response to disturbance: Insights from the Virginia Barrier Islands, Mid-Atlantic Bight, USA." Geomorphology 199 (October 2013): 115–28. http://dx.doi.org/10.1016/j.geomorph.2013.03.035.

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8

van Maanen, B., G. Coco, and K. R. Bryan. "On the ecogeomorphological feedbacks that control tidal channel network evolution in a sandy mangrove setting." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 471, no. 2180 (2015): 20150115. http://dx.doi.org/10.1098/rspa.2015.0115.

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An ecomorphodynamic model was developed to study how Avicennia marina mangroves influence channel network evolution in sandy tidal embayments. The model accounts for the effects of mangrove trees on tidal flow patterns and sediment dynamics. Mangrove growth is in turn controlled by hydrodynamic conditions. The presence of mangroves was found to enhance the initiation and branching of tidal channels, partly because the extra flow resistance in mangrove forests favours flow concentration, and thus sediment erosion in between vegetated areas. The enhanced branching of channels is also the result

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9

Hovenga, Paige, Peter Ruggiero, Nick Cohn, et al. "POST-STORM DUNE RECOVERY IN CAPE LOOKOUT NATIONAL SEASHORE, NC." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 40. http://dx.doi.org/10.9753/icce.v36.sediment.40.

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Coastal dunes are often the first and primary form of defense against destructive surge and waves that accompany extreme storm events. Beach grasses are known to affect dune height, width, and stability, contributing to the duneâ€™s ability to protect the hinterland from wave and flooding hazards (Hacker et al. 2012). However, the interaction and feedbacks between dune development and properties of beach grasses (e.g., species, density) is not fully understood. In particular, our knowledge of the ecomorphodynamic processes controlling the recovery of coastal dunes following storms and the long

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10

Ratliff, Katherine M., Anna E. Braswell, and Marco Marani. "Spatial response of coastal marshes to increased atmospheric CO2." Proceedings of the National Academy of Sciences 112, no. 51 (2015): 15580–84. http://dx.doi.org/10.1073/pnas.1516286112.

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The elevation and extent of coastal marshes are dictated by the interplay between the rate of relative sea-level rise (RRSLR), surface accretion by inorganic sediment deposition, and organic soil production by plants. These accretion processes respond to changes in local and global forcings, such as sediment delivery to the coast, nutrient concentrations, and atmospheric CO2, but their relative importance for marsh resilience to increasing RRSLR remains unclear. In particular, marshes up-take atmospheric CO2 at high rates, thereby playing a major role in the global carbon cycle, but the morpho

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11

Roncolato, Francesca, Thomas E. Fellowes, Stephanie Duce, et al. "Ecomorphodynamics of oyster reefs and their influence on oyster reef morphology." Geomorphology 456 (July 2024): 109213. http://dx.doi.org/10.1016/j.geomorph.2024.109213.

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12

Biel, R. G., S. D. Hacker, and P. Ruggiero. "Elucidating Coastal Foredune Ecomorphodynamics in the U.S. Pacific Northwest via Bayesian Networks." Journal of Geophysical Research: Earth Surface 124, no. 7 (2019): 1919–38. http://dx.doi.org/10.1029/2018jf004758.

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13

Cunico, I., W. Bertoldi, F. Caponi, H. A. Dijkstra, and A. Siviglia. "River Ecomorphodynamic Models Exhibit Features of Nonlinear Dynamics and Chaos." Geophysical Research Letters 51, no. 11 (2024). http://dx.doi.org/10.1029/2023gl107951.

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AbstractModeling the nonlinear interactions between flow, sediment, and vegetation is essential for improving our understanding and prediction of river system dynamics. Using simple numerical models, we simulate the key flow‐sediment‐vegetation interaction where the disturbance is intrinsically generated by the presence of vegetation. In this case, biomass growth modifies the flow field, induces bed scour, and thus potentially causes vegetation uprooting when erosion exceeds root depth. Our results show that this nonlinear feedback produces deterministic chaos under a wide range of conditions,

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14

Perona, P., B. Crouzy, S. McLelland, P. Molnar, and C. Camporeale. "Ecomorphodynamics of rivers with converging boundaries." Earth Surface Processes and Landforms, June 2014, n/a. http://dx.doi.org/10.1002/esp.3614.

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15

Mariotti, G. "Hindcasting and forecasting marsh ecomorphodynamics by integration of model with stratigraphic record." Geomorphology, April 2024, 109226. http://dx.doi.org/10.1016/j.geomorph.2024.109226.

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16

Gao, C., E. D. Lazarus, A. D’Alpaos, et al. "Morphometry of Tidal Meander Cutoffs Indicates Similarity to Fluvial Morphodynamics." Geophysical Research Letters 51, no. 1 (2024). http://dx.doi.org/10.1029/2023gl105893.

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AbstractSinuous channels wandering through coastal wetlands have been thought to lack lateral‐migration features like meander cutoffs and oxbows, spurring the broad interpretation that tidal and fluvial meanders differ morphodynamically. Motivated by recent work showing similarities in planform dynamics between tidal and fluvial meandering channels, we analyzed meander neck cutoffs from diverse tidal and fluvial environments worldwide, and show that tidal cutoffs are widespread. Their perceived paucity stems from pronounced channel density and hydrological connectivity in coastal wetlands, com

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17

Mariotti, Giulio, and Samuel Zapp. "A framework to simplify astro‐meteorological water level and wind inputs for modelling coastal marsh ecomorphodynamics." Journal of Geophysical Research: Earth Surface, November 16, 2022. http://dx.doi.org/10.1029/2022jf006665.

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18

Caponi, Francesco, David F. Vetsch, and Annunziato Siviglia. "A model study of the combined effect of above and below ground plant traits on the ecomorphodynamics of gravel bars." Scientific Reports 10, no. 1 (2020). http://dx.doi.org/10.1038/s41598-020-74106-9.

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Abstract Both above- and below-ground plant traits are known to modulate feedbacks between vegetation and river morphodynamic processes. However, how they collectively influence vegetation establishment on gravel bars remains less clear. Here we develop a numerical model that couples above- and below-ground vegetation dynamics with hydromorphological processes. The model dynamically links plant growth rate to water table fluctuations and includes plant mortality by uprooting and burial. We considered a realistic hydrological regime and used the model to simulate the coevolution of alternate gr

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19

Mariotti, Giulio, and Alvise Finotello. "A Flow‐Curvature‐Based Model for Channel Meandering in Tidal Marshes." Water Resources Research 60, no. 6 (2024). http://dx.doi.org/10.1029/2023wr035747.

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AbstractChannel meandering is ubiquitous in tidal marshes, yet it is either omitted or weakly implemented in morphodynamic models. Here we propose a novel numerical method to simulate channel meandering in tidal marshes on a Cartesian grid. The method calculates a first‐order flow by considering the balance between pressure gradient and bed friction. To account for flow momentum shift toward meander outer banks, the flow is empirically modified. Unlike previous simplified methods that relied on the curvature of the bank, this modification is based on the curvature of the flow, making the model

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20

Kalra, Tarandeep S., Neil K. Ganju, Alfredo L. Aretxabaleta, Joel A. Carr, Zafer Defne, and Julia M. Moriarty. "Modeling Marsh Dynamics Using a 3-D Coupled Wave-Flow-Sediment Model." Frontiers in Marine Science 8 (November 2, 2021). http://dx.doi.org/10.3389/fmars.2021.740921.

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Salt marshes are dynamic biogeomorphic systems that respond to external physical factors, including tides, sediment transport, and waves, as well as internal processes such as autochthonous soil formation. Predicting the fate of marshes requires a modeling framework that accounts for these processes in a coupled fashion. In this study, we implement two new marsh dynamic processes in the 3-D COAWST (coupled-ocean-atmosphere-wave sediment transport) model. The processes added are the erosion of the marsh edge scarp caused by lateral wave thrust from surface waves and vertical accretion driven by

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