@article{fdi:010092753,
  title = {{MANG}@{COAST} : a spatio-temporal modeling approach of muddy shoreline mobility based on mangrove monitoring},
  author = {{A}ugusseau, {P}. {E}. and {P}roisy, {C}hristophe and {G}ardel, {A}. and {B}runier, {G}. and {G}ranjon, {L}aurent and {M}aury, {T}. and {M}ury, {A}ntoine and {S}taquet, {A}drien and {S}antos, {V}. {F}. and {W}alcker, {R}. and {D}egenne, {P}. and {L}o {S}een, {D}. and {A}nthony, {E}. {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{H}ighly 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. {W}e propose a multiscale modelling approach and empirical equations calibrated and integrated into a landscape dynamics model implemented on a mud-bank coast using the {O}celet language to simplify the complex processes driving sea- mangrove coastline dynamics and quantity them with 10 years of satellite observations of mangrove shoreline fluctuations. {W}e find that fluctuations in seafront mangroves can be simulated with acceptable accuracy along 200 km of coastline. {I}n the absence of mud banks, seasonal wave forcing resulted in erosion rates reaching 1100 m/y. {O}ur 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. {F}inally, we discuss the potential of this modeling approach for anticipating coastal changes.},
  keywords = {{L}andscape evolution model ; {O}pen coast ; {W}ave attenuation ; {R}emote sensing ; {A}mazon sediments ; {F}rench {G}uiana ; {GUYANE} {FRANCAISE} ; {AMAZONE}},
  booktitle = {},
  journal = {{E}nvironmental {M}odelling and {S}oftware},
  volume = {186},
  numero = {},
  pages = {106345 [14 p.]},
  ISSN = {1364-8152},
  year = {2025},
  DOI = {10.1016/j.envsoft.2025.106345},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092753},
}