Details
| Original language | English |
|---|---|
| Pages (from-to) | 810-814 |
| Number of pages | 5 |
| Journal | Journal of coastal research |
| Volume | 1 |
| Issue number | 75 |
| Publication status | Published - 1 Mar 2016 |
| Externally published | Yes |
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
- Coastal currents, Coastal modeling, ERA-Interim, Mangrove coasts
ASJC Scopus subject areas
- Environmental Science(all)
- Ecology
- Environmental Science(all)
- Water Science and Technology
- Earth and Planetary Sciences(all)
- Earth-Surface Processes
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In: Journal of coastal research, Vol. 1, No. 75, 01.03.2016, p. 810-814.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A multiscale simulation approach for linking mangrove dynamics to coastal processes using remote sensing observations
AU - Proisy, C.
AU - Degenne, P.
AU - Anthony, E.J.
AU - Berger, U.
AU - Blanchard, E.
AU - Fromard, F.
AU - Gardel, A.
AU - Olagoke, A.
AU - Santos, V.
AU - Walcker, R.
AU - Lo Seen, D.
N1 - Publisher Copyright: © Coastal Education and Research Foundation, Inc. 2016.
PY - 2016/3/1
Y1 - 2016/3/1
N2 - 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.
AB - 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.
KW - Coastal currents
KW - Coastal modeling
KW - ERA-Interim
KW - Mangrove coasts
UR - http://www.scopus.com/inward/record.url?scp=84987723134&partnerID=8YFLogxK
U2 - 10.2112/si75-163.1
DO - 10.2112/si75-163.1
M3 - Article
VL - 1
SP - 810
EP - 814
JO - Journal of coastal research
JF - Journal of coastal research
SN - 0749-0208
IS - 75
ER -