A Multiscale Simulation Approach for Linking ...
Document type :
Article dans une revue scientifique: Article original
DOI :
Title :
A Multiscale Simulation Approach for Linking Mangrove Dynamics to Coastal Processes using Remote Sensing Observations
Author(s) :
Proisy, Christophe [Auteur]
Botanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
Degenne, Pascal [Auteur]
Anthony, Edward [Auteur]
Centre Européen de Recherche et d'Enseignement des Géosciences de l'Environnement [CEREGE]
Berger, Uta [Auteur]
Blanchard, Elodie [Auteur]
Botanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
Fromard, François [Auteur]
Laboratoire Ecologie Fonctionnelle et Environnement [LEFE]
Gardel, Antoine [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Olagoke, Adewole [Auteur]
Botanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
Santos, Valdenira [Auteur]
Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá [IEPA]
Walcker, Romain [Auteur]
Laboratoire Ecologie Fonctionnelle et Environnement [LEFE]
Lo Seen, Danny [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Botanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
Degenne, Pascal [Auteur]
Anthony, Edward [Auteur]
Centre Européen de Recherche et d'Enseignement des Géosciences de l'Environnement [CEREGE]
Berger, Uta [Auteur]
Blanchard, Elodie [Auteur]
Botanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
Fromard, François [Auteur]
Laboratoire Ecologie Fonctionnelle et Environnement [LEFE]
Gardel, Antoine [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Olagoke, Adewole [Auteur]
Botanique et Modélisation de l'Architecture des Plantes et des Végétations [UMR AMAP]
Santos, Valdenira [Auteur]
Instituto de Pesquisas Científicas e Tecnológicas do Estado do Amapá [IEPA]
Walcker, Romain [Auteur]
Laboratoire Ecologie Fonctionnelle et Environnement [LEFE]
Lo Seen, Danny [Auteur]
Territoires, Environnement, Télédétection et Information Spatiale [UMR TETIS]
Journal title :
Journal of Coastal Research
Pages :
810-814
Publisher :
Coastal Education and Research Foundation
Publication date :
2016-03
ISSN :
0749-0208
English keyword(s) :
Mangrove coasts
Coastal modeling
ERA-Interim
Coastal currents
Coastal modeling
ERA-Interim
Coastal currents
HAL domain(s) :
Sciences du Vivant [q-bio]/Biodiversité/Systématique, phylogénie et taxonomie
Sciences de l'environnement/Biodiversité et Ecologie
Sciences du Vivant [q-bio]/Biologie végétale/Botanique
Sciences du Vivant [q-bio]/Ecologie, Environnement/Ecosystèmes
Sciences de l'environnement/Biodiversité et Ecologie
Sciences du Vivant [q-bio]/Biologie végétale/Botanique
Sciences du Vivant [q-bio]/Ecologie, Environnement/Ecosystèmes
English abstract : [en]
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, ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Source :