A NEW APPROACH ACCOUNTING FOR SPECIES-SPECIFIC PLANT CHARACTERISTICS ON SAND CAPTURE EFFICIENCY IN AN AEOLIAN TRANSPORT MODEL

Coastal dunes are natural landforms that develop in the backshore of sandy coastlines through complex ecomorphodynamic interactions (Hesp, 2002). They provide a wide range of ecosystem services (Barbier et al., 2011) but are threatened by both increasing anthropogenic pressures and climate change (Vousdoukas et al., 2020). In most ecomorphodynamic numerical models which attempt to understand coastal dune evolution, the influence of vegetation on sediment transport is significantly simplified given the complexity of these interactions. Shear stress partitioning models are widely used to assess the effect of vegetation on wind force (Raupach, 1992; Okin, 2008), but to date only discriminate between vegetation type (e.g., grass, shrub, tree), without differentiating between the species-specific characteristics that play a role in the spatiotemporal evolution of dunes, their response to storms, and their recovery. Indeed, different dune grass species can build dunes of different shapes and sizes due to their unique ecological characteristics (Hacker et al., 2019). Using observations from a wind tunnel experiment that assessed sediment capture efficiency of the three main dune grass species of the U.S Pacific Northwest coast (the two non-native species Ammophila arenaria, AMAR, Ammophila breviligulata, AMAR, and the native species Leymus mollis, LEMO), the objective of this study is to develop model parameterizations that represent the sand capture efficiency of different dune grass species within a process-based aeolian sediment transport and dune evolution model.

Authors

Publication Details

Journal
Coastal Engineering Proceedings
Published
2025-05-29
DOI
https://doi.org/10.9753/icce.v38.sediment.39
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A NEW APPROACH ACCOUNTING FOR SPECIES-SPECIFIC PLANT CHARACTERISTICS ON SAND CAPTURE EFFICIENCY IN AN AEOLIAN TRANSPORT MODEL

Peter Ruggiero, Nicholas T. Cohn, Meagan Wengrove, Sally D. Hacker et al.
Coastal Engineering Proceedings
Aeolian processes and effects
article

A NEW APPROACH ACCOUNTING FOR SPECIES-SPECIFIC PLANT CHARACTERISTICS ON SAND CAPTURE EFFICIENCY IN AN AEOLIAN TRANSPORT MODEL

Peter Ruggiero, Nicholas T. Cohn, Meagan Wengrove, Sally D. Hacker, Quentin Laporte-Fauret
article en

Abstract

Coastal dunes are natural landforms that develop in the backshore of sandy coastlines through complex ecomorphodynamic interactions (Hesp, 2002). They provide a wide range of ecosystem services (Barbier et al., 2011) but are threatened by both increasing anthropogenic pressures and climate change (Vousdoukas et al., 2020). In most ecomorphodynamic numerical models which attempt to understand coastal dune evolution, the influence of vegetation on sediment transport is significantly simplified given the complexity of these interactions. Shear stress partitioning models are widely used to assess the effect of vegetation on wind force (Raupach, 1992; Okin, 2008), but to date only discriminate between vegetation type (e.g., grass, shrub, tree), without differentiating between the species-specific characteristics that play a role in the spatiotemporal evolution of dunes, their response to storms, and their recovery. Indeed, different dune grass species can build dunes of different shapes and sizes due to their unique ecological characteristics (Hacker et al., 2019). Using observations from a wind tunnel experiment that assessed sediment capture efficiency of the three main dune grass species of the U.S Pacific Northwest coast (the two non-native species Ammophila arenaria, AMAR, Ammophila breviligulata, AMAR, and the native species Leymus mollis, LEMO), the objective of this study is to develop model parameterizations that represent the sand capture efficiency of different dune grass species within a process-based aeolian sediment transport and dune evolution model.

Coastal Engineering Proceedings(38)
Openalex Percentile: Top 10%
Aeolian processes and effects
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.