@article{fdi:010065696, title = {{A} multiscale simulation approach for linking mangrove dynamics to coastal processes using remote sensing observations}, author = {{P}roisy, {C}hristophe and {D}egenne, {P}. and {A}nthony, {E}.{J}. and {B}erger, {U}. and {B}lanchard, {E}lodie and {F}romard, {F}. and {G}ardel, {A}. and {O}lagoke, {A}. and {S}antos, {V}. and {W}alcker, {R}. and {L}o {S}een, {D}.}, editor = {}, language = {{ENG}}, abstract = {{W}e present a new landscape-modelling framework based on a domain-specific language called {O}celet that is used to question our understanding of how mangrove forests cope with fast-changing muddy seashores. {F}or the demonstration, we selected the coast of {F}rench {G}uiana where mangrove physiognomy and extent continuously vary due to successive and recurrent erosion or accretion phases resulting from the alongshore migration of mud banks originating from the {A}mazon {R}iver. {W}e modelled the {F}rench {G}uiana coastal system as a set of ecological and physical processes involving entities (e.g. ocean, mangrove shoreline, mud bank) that are in relation with each other. {I}nteraction functions are written to specify how the entities change when they interact, according to the level of understanding and knowledge available. {T}he scenario then describes what interaction functions are activated at each time step. {W}e applied the approach to explain mangrove shoreline variations from 1986 to 2009 over 45 kilometres, and examined the contribution of alongshore and cross-shore wave energy and current velocities. {T}he model was run with daily {ERA}-{I}nterim/{ECMWF} waves and {M}ercator-{O}cean currents as input data, whereas a time series of remote sensing images was used during the initialization and validation phases. {W}e then discuss the flexibility of our approach to integrate existing models of mangrove forest dynamics.}, keywords = {{GUYANE} {FRANCAISE} ; {AMAZONE} {COURS} {D}'{EAU}}, booktitle = {}, journal = {{J}ournal of {C}oastal {R}esearch}, numero = {no sp{\'e}cial 75}, pages = {810--814}, ISSN = {1551-5036}, year = {2016}, DOI = {10.2112/{SI}75-163.1}, URL = {https://www.documentation.ird.fr/hor/fdi:010065696}, }