A multiscale simulation approach for linking mangrove dynamics to coastal processes using remote sensing observations

Proisy Christophe, Degenne Pascal, Anthony Edward J., Berger Uta, Blanchard Elodie, Fromard François, Gardel Antoine, Olagoke Adewole, Santos Valdenira, Walcker Romain, Lo Seen Chong Danny. 2016. A multiscale simulation approach for linking mangrove dynamics to coastal processes using remote sensing observations. Journal of Coastal Research, n.spéc. 75 : 810-814. International Coastal Symposium. 14, Sydney, Australie, 6 Mars 2016/11 Mars 2016.

https://doi.org/10.2112/SI75-163.1

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Type d'url non précisé : http://www.jcronline.org/

Quartile : Q4, Sujet : GEOSCIENCES, MULTIDISCIPLINARY / Quartile : Q4, Sujet : GEOGRAPHY, PHYSICAL / Quartile : Q4, Sujet : ENVIRONMENTAL SCIENCES

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Géographie-Aménagement-Urbanisme-Architecture

Résumé : We present a new landscape-modelling framework based on a domain-specific language called Ocelet that is used to question our understanding of how mangrove forests cope with fast-changing muddy seashores. For the demonstration, we selected the coast of French Guiana where mangrove physiognomy and extent continuously vary due to successive and recurrent erosion or accretion phases resulting from the al ongshore migration of mud banks originating from the Amazon River. We modelled the French Guiana 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. Interaction functions are written to specify how the entities change when they interact, according to the level of understanding and knowledge available. The scenario then describes what interaction functions are activated at each time step. We 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. The model was run with daily ERA-Interim/ECMWF waves and Mercator-Ocean currents as input data, whereas a time series of remote sensing images was used during the initialization and validation phases. We then discuss the flexibility of our approach to integrate existing models of mangrove forest dynamics.

Mots-clés Agrovoc : mangrove, palétuvier, télédétection, paysage, cartographie des fonctions de la forêt, dynamique des populations, écosystème forestier, érosion des côtes, modélisation environnementale, modèle de simulation

Mots-clés géographiques Agrovoc : Guyane française, France

Mots-clés libres : Mangrove coasts, Coastal modeling, ERA-Interim, Coastal currents

Classification Agris : K01 - Foresterie - Considérations générales
U30 - Méthodes de recherche
P01 - Conservation de la nature et ressources foncières

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

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