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

• DOI: 10.1016/j.envsoft.2025.106345
• Publication Date: 2025-01-30T09:01:58Z
• Authors: P.E. Augusseau; C. Proisy; A. Gardel; G. Brunier; L. Granjon; T. Maury; A. Mury; A. Staquet; V.F. Santos; R. Walcker; P. Degenne; D. Lo Seen; E.J. Anthony
• Keywords: Landscape evolution model; remote sensing; 550; open coast; Open coast; [SDE]Environmental Sciences; 500; Wave attenuation; Remote sensing; Amazon sediments; wave attenuation; French Guiana

International audience<br/>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 seamangrove 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.<br/>