4.5 Article

Salt Marsh Establishment and Eco-Engineering Effects in Dynamic Estuaries Determined by Species Growth and Mortality

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
Volume 124, Issue 12, Pages 2962-2986

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2019JF005092

Keywords

salt marsh; dynamic vegetation modeling; estuarine morphology; eco-engineering effects

Funding

  1. ERC Consolidator project [647570]
  2. Utrecht University

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Growth conditions and eco-engineering effects of vegetation on local conditions in coastal environments have been extensively studied. However, interactions between salt marsh settling, growth, and mortality as a function of hydromorphology and eco-engineering lack sufficient understanding to forecast morphological development of dynamic systems. We predict salt marsh establishment with an ecomorphodynamic model that accounts for literature-based seasonal settling and life-stage-dependent growth and mortality of a generic salt marsh species. The model was coupled to a calibrated hydromorphodynamic model of an intertidal bar and, on a coarser grid, to the entire Western Scheldt estuary. To quantify the importance of eco-engineering effects we compared the dynamic model results to a static model approach. The ecomorphodynamic model reproduces spatial pattern, cover, and growth trends over 15 years. The modeled vegetation cover emerges from the combination of a positive and a new negative eco-engineering effect: vegetation reduces tidal flow strength facilitating plant survival while the developing salt marsh increases the hydroperiod, which limits large-scale marsh expansion. The reproduced spatial gradient in vegetation density by our model is strongly correlated to their life-stages, which underlines the importance of age-dependence when modeling vegetation and for predictions of the stability of the marsh. Upscaling of the model to the entire estuary on a coarser grid gives implications for grid size-dependent modeling of hydrodynamics and vegetation. In comparison with static model results, the eco-engineering effects reduce vegetation cover, showing the importance of vegetation dynamics for predictions of salt marsh growth.

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