MANG@COAST: A spatio-temporal modeling approach of muddy shoreline mobility based on mangrove monitoring

Highly dynamic wave-exposed muddy coasts harbouring mangrove ecosystems can be subject to both marked accretion and erosion depending on the complex interactions between mud and waves. We propose a multiscale modelling approach and empirical equations calibrated and integrated into a landscape dynamics model implemented on a mud-bank coast using the Ocelet language to simplify the complex processes driving sea-mangrove coastline dynamics and quantity them with 10 years of satellite observations of mangrove shoreline fluctuations.

We find that fluctuations in seafront mangroves can be simulated with acceptable accuracy along 200 km of coastline. In the absence of mud banks, seasonal wave forcing resulted in erosion rates reaching 1100 m/y. Our findings indicate that wave energy can be reduced by 90% at all locations when the width of mud banks exceeds 2000 m in front of the mangroves. Finally, we discuss the potential of this modeling approach for anticipating coastal changes.

Keyword(s)

Landscape evolution model, Open coast, Wave attenuation, Remote sensing, Amazon sediments, French Guiana

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Preprint - 10.2139/ssrn.4980746
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Augusseau Paul-Emile, Proisy Christophe, Gardel Antoine, Brunier Guillaume, Granjon Ludovic, Maury Tanguy, Mury Antoine, Staquet Adrien, Dos Santos Valdenira Ferreira, Walcker Romain, Degenne Pascal, Lo Seen Danny, Anthony Edward J. (2025). MANG@COAST: A spatio-temporal modeling approach of muddy shoreline mobility based on mangrove monitoring. Environmental Modelling & Software. 186. 106345 (14p.). https://doi.org/10.1016/j.envsoft.2025.106345, https://archimer.ifremer.fr/doc/00915/102693/

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