Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

A Multiscale Simulation Approach for Linking Mangrove Dynamics to Coastal Processes using Remote Sensing Observations

Christophe Proisy 1 Pascal Degenne Edward Anthony 2 Uta Berger 3 Elodie Blanchard 1 François Fromard 4 Antoine Gardel 5 Adewole Olagoke 1 Valdenira Santos 6 Romain Walcker 4 Danny Lo Seen 7
1 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
2 CEREGE - Centre européen de recherche et d'enseignement des géosciences de l'environnement
3 Institute of Forest Growth and Computer Sciences
4 ECOLAB - Laboratoire Ecologie Fonctionnelle et Environnement
5 LOG - Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187
6 IEPA - Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá
7 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
Abstract : 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 alongshore 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.
Keywords : ERA-Interim Coastal currents Coastal modeling Mangrove coasts
Liste complète des métadonnées
https://hal.umontpellier.fr/hal-02112293
Contributeur : Yannick Brohard <>
Soumis le : vendredi 26 avril 2019 - 15:45:41
Dernière modification le : mardi 17 mars 2020 - 02:55:20

Identifiants

Collections

UNIV-MONTPELLIER | IRSTEA | INRA | CEREGE | CDF | CNRS | OMP-ECOLAB | AGROPOLIS | CIRAD | PSL | INSU | AGROPARISTECH | OMP | B3ESTE | UNIV-LILLE | AMAP | UNIV-AMU | OSU-INSTITUT-PYTHEAS | UNIV-TLSE3

Citation

Christophe Proisy, Pascal Degenne, Edward Anthony, Uta Berger, Elodie Blanchard, et al.. A Multiscale Simulation Approach for Linking Mangrove Dynamics to Coastal Processes using Remote Sensing Observations. Journal of Coastal Research, Coastal Education and Research Foundation, 2016, 75 (sp1), pp.810-814. ⟨10.2112/SI75-163.1⟩. ⟨hal-02112293⟩

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

181