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|CSDMS meeting abstract presentation=There is global recognition to push forward mangrove restoration and conservation for climate mitigation and adaptation. Unfortunately, although our understanding of mangrove processes has significantly improved, 80-90% of the reported restoration projects have experienced failures. The main reasons are related to a poor understanding of the eco-geomorphological dynamics and mangrove species-specific ecological requirements. Mangrove restoration guidelines exist; however, they may be site-specific and cannot be easily replicated in other restoration cases. Hence, it emphasizes the need for a system understanding of mangrove ecosystem physical and ecological interactions. We developed a hybrid model by coupling the process-based hydro-morphodynamic model Delft3D-FM (DFM) and the individual-based mangrove model MesoFON (MFON). The model (DFMFON) allows us to resolve spatiotemporal processes, including tidal, seasonal, and decadal environmental changes with full-life-cycle mangrove interactions. The DFMFON model successfully reproduced observed spatiotemporal (seasonal-decadal) mangrove development, like the age-height relationship and morphodynamic delta features in a prograding Porong Delta, Indonesia. | |CSDMS meeting abstract presentation=There is global recognition to push forward mangrove restoration and conservation for climate mitigation and adaptation. Unfortunately, although our understanding of mangrove processes has significantly improved, 80-90% of the reported restoration projects have experienced failures. The main reasons are related to a poor understanding of the eco-geomorphological dynamics and mangrove species-specific ecological requirements. Mangrove restoration guidelines exist; however, they may be site-specific and cannot be easily replicated in other restoration cases. Hence, it emphasizes the need for a system understanding of mangrove ecosystem physical and ecological interactions. We developed a hybrid model by coupling the process-based hydro-morphodynamic model Delft3D-FM (DFM) and the individual-based mangrove model MesoFON (MFON). The model (DFMFON) allows us to resolve spatiotemporal processes, including tidal, seasonal, and decadal environmental changes with full-life-cycle mangrove interactions. The DFMFON model successfully reproduced observed spatiotemporal (seasonal-decadal) mangrove development, like the age-height relationship and morphodynamic delta features in a prograding Porong Delta, Indonesia. | ||
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Latest revision as of 16:33, 11 June 2025
CSDMS 2024: Coastlines, Critical Zones and Cascading Hazards: Modeling Dynamic Interfaces from Deep Time to Human Time
Simulating mangrove-mudflat dynamics with a hybrid eco-hydro-morphodynamic model
Abstract
There is global recognition to push forward mangrove restoration and conservation for climate mitigation and adaptation. Unfortunately, although our understanding of mangrove processes has significantly improved, 80-90% of the reported restoration projects have experienced failures. The main reasons are related to a poor understanding of the eco-geomorphological dynamics and mangrove species-specific ecological requirements. Mangrove restoration guidelines exist; however, they may be site-specific and cannot be easily replicated in other restoration cases. Hence, it emphasizes the need for a system understanding of mangrove ecosystem physical and ecological interactions. We developed a hybrid model by coupling the process-based hydro-morphodynamic model Delft3D-FM (DFM) and the individual-based mangrove model MesoFON (MFON). The model (DFMFON) allows us to resolve spatiotemporal processes, including tidal, seasonal, and decadal environmental changes with full-life-cycle mangrove interactions. The DFMFON model successfully reproduced observed spatiotemporal (seasonal-decadal) mangrove development, like the age-height relationship and morphodynamic delta features in a prograding Porong Delta, Indonesia.
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