Modelling mangrove-mudflat dynamics with a coupled individual-based-hydro-morphodynamic model

Journal Article (2023)
Author(s)

S. M. Beselly (Brawijaya University, IHE Delft Institute for Water Education, TU Delft - Coastal Engineering)

U. Grueters (Justus Liebig University Giessen)

M. van Der Wegen (IHE Delft Institute for Water Education, Deltares)

J. Reyns (Deltares, IHE Delft Institute for Water Education, TU Delft - Coastal Engineering)

J. Dijkstra (Deltares)

D. Roelvink (TU Delft - Coastal Engineering, Deltares, IHE Delft Institute for Water Education)

Research Group
Coastal Engineering
DOI related publication
https://doi.org/10.1016/j.envsoft.2023.105814 Final published version
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Publication Year
2023
Language
English
Research Group
Coastal Engineering
Journal title
Environmental Modelling and Software
Volume number
169
Article number
105814
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Abstract

As climate-change-driven extremes potentially make coastal areas more vulnerable, mangroves can help sustainably protect the coasts. There is a substantial understanding of both mangrove dynamics and hydro-morphodynamic processes. However, the knowledge of complex eco-geomorphic interactions with physical-environmental stressors remains lacking. We introduce a novel coupled modelling approach consisting of an individual-based mangrove (mesoFON) and a process-based hydromorphodynamic model (Delft3D-FM). This coupled model is unique because it resolves spatiotemporal processes, including tidal, seasonal, and decadal environmental changes (water level, flow, sediment availability, and salinity) with full life-stages (propagule, seedling, sapling, mature) mangrove interaction. It allows us to mechanistically simulate forest expansion, retreat, and colonisation influenced by and with feedback on physical-environmental drivers. The model is applied in a schematized mixed fluvial-tidal deltaic mangrove forest in dominantly muddy sediment inspired by the prograding delta of Porong, Indonesia. Model results successfully reproduce observed mangrove extent development, age-height relationship, and morphodynamic delta features.