Development of an Integrated Biophysical Model to represent morphological and ecological processes in a changing deltaic and coastal ecosystem

Journal Article (2018)
Author(s)

Melissa M. Baustian (The Water Institute of the Gulf)

Ehab Meselhe (The Water Institute of the Gulf, Tulane University)

Hoonshin Jung (The Water Institute of the Gulf)

Kazi Sadid (The Water Institute of the Gulf)

Scott M. Duke-Sylvester (University of Louisiana at Lafayette)

Jenneke M. Visser (University of Louisiana at Lafayette)

Mead A. Allison (Tulane University, The Water Institute of the Gulf)

Leland C. Moss (The Water Institute of the Gulf)

Cyndhia Ramatchandirane (The Water Institute of the Gulf)

D.S. van Maren (TU Delft - Environmental Fluid Mechanics, Deltares)

Michelle Jeuken (Deltares)

Sibel Bargu (Louisiana State University)

Environmental Fluid Mechanics
DOI related publication
https://doi.org/10.1016/j.envsoft.2018.05.019
More Info
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Publication Year
2018
Language
English
Environmental Fluid Mechanics
Volume number
109
Pages (from-to)
402-419

Abstract

Deltaic and coastal ecosystems are changing in response to natural and anthropogenic forces that require ecosystem-level restoration efforts to avoid habitat degradation or loss. Models that link ecosystem components of hydrodynamics, morphodynamics, nutrient and vegetation dynamics to represent essential processes and feedbacks are advancing the field of environmental modeling and are vital to inform coastal restoration decisions. An Integrated Biophysical Model was developed by creating a new vegetation dynamics component and linking it to other primary ecosystem components that included essential feedbacks. The model performance was evaluated by applying it to a deltaic ecosystem that included marshes and estuaries. The Integrated Biophysical Model output captured the general temporal and spatial environmental trends of key variables. This integrated model is capable to perform long-term simulations to assess responses of deltaic and coastal systems to global change scenarios and can be used to inform restoration strategies in ecosystems worldwide.

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