Development of a submerged aquatic vegetation growth model in the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST v3.4) model
The coupled biophysical interactions between submerged aquatic vegetation (SAV), hydrodynamics (currents and waves), sediment dynamics, and nutrient cycling have long been of interest in estuarine environments. Recent observational studies have addressed feedbacks between SAV meadows and their role...
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Published in: | Geoscientific Model Development 2020-11, Vol.13 (11), p.5211-5228 |
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Main Authors: | , , |
Format: | Article |
Language: | eng |
Subjects: | |
Online Access: | Get full text |
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Summary: | The coupled biophysical interactions between submerged aquatic vegetation
(SAV), hydrodynamics (currents and waves), sediment dynamics, and nutrient
cycling have long been of interest in estuarine environments. Recent
observational studies have addressed feedbacks between SAV meadows and their
role in modifying current velocity, sedimentation, and nutrient cycling. To
represent these dynamic processes in a numerical model, the presence of SAV
and its effect on hydrodynamics (currents and waves) and sediment dynamics
was incorporated into the open-source Coupled Ocean–Atmosphere–Wave–Sediment
Transport (COAWST) model. In this study, we extend
the COAWST modeling framework to account for dynamic changes of SAV and
associated epiphyte biomass. Modeled SAV biomass is represented as a
function of temperature, light, and nutrient availability. The modeled SAV
community exchanges nutrients, detritus, dissolved inorganic carbon, and
dissolved oxygen with the water-column biogeochemistry model. The dynamic
simulation of SAV biomass allows the plants to both respond to and cause
changes in the water column and sediment bed properties, hydrodynamics, and
sediment transport (i.e., a two-way feedback). We demonstrate the behavior
of these modeled processes through application to an idealized domain and then
apply the model to a eutrophic harbor where SAV dieback is a result of
anthropogenic nitrate loading and eutrophication. These cases demonstrate an
advance in the deterministic modeling of coupled biophysical processes and
will further our understanding of future ecosystem change. |
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ISSN: | 1991-9603 1991-959X 1991-962X 1991-9603 |