Representing flexible salt marsh vegetation at the stem scale: biomechanics, modeling approaches, and research gaps

The accurate representation of flexible salt marsh vegetation at the stem scale is fundamental for improving our understanding of the fluid–vegetation interaction and its role in coastal protection and other ecosystem services. This paper critically reviews existing methodologies used to replicate flexible salt marsh vegetation in both physical experiments and numerical modeling approaches. Specifically, the review (i) assesses which biomechanical stem properties are most relevant for reproducing realistic plant behavior under hydrodynamic forcing, (ii) examines how previous studies have implemented surrogate and numerical representations of flexible stems, and (iii) synthesizes current research gaps related to the accurate replication of vegetation mechanics. Particular attention is given to parameters such as stem geometry, flexural stiffness, material density, and their scaling in experimental and computational frameworks. By identifying inconsistencies, methodological trade-offs, and unresolved challenges, this paper provides guidance for engineers and modelers in selecting appropriate representation strategies. At the same time, it informs ecologists which field-measured plant properties are most critical for supporting reliable vegetation–flow modeling efforts, thereby fostering stronger integration between ecological field campaigns and hydrodynamic modeling studies.

Authors

Institutions

Publication Details

Journal
Coastal Engineering Journal
Published
2026-08-24
DOI
https://doi.org/10.1080/21664250.2026.2719070
Primary Topic
Coastal wetland ecosystem dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Representing flexible salt marsh vegetation at the stem scale: biomechanics, modeling approaches, and research gaps

Nils Goseberg, Oliver Lojek, Ioan Nistor, Inga Prüter
Coastal Engineering Journal
Coastal wetland ecosystem dynamics
article

Representing flexible salt marsh vegetation at the stem scale: biomechanics, modeling approaches, and research gaps

Nils Goseberg, Oliver Lojek, Ioan Nistor, Inga Prüter
article en

Abstract

The accurate representation of flexible salt marsh vegetation at the stem scale is fundamental for improving our understanding of the fluid–vegetation interaction and its role in coastal protection and other ecosystem services. This paper critically reviews existing methodologies used to replicate flexible salt marsh vegetation in both physical experiments and numerical modeling approaches. Specifically, the review (i) assesses which biomechanical stem properties are most relevant for reproducing realistic plant behavior under hydrodynamic forcing, (ii) examines how previous studies have implemented surrogate and numerical representations of flexible stems, and (iii) synthesizes current research gaps related to the accurate replication of vegetation mechanics. Particular attention is given to parameters such as stem geometry, flexural stiffness, material density, and their scaling in experimental and computational frameworks. By identifying inconsistencies, methodological trade-offs, and unresolved challenges, this paper provides guidance for engineers and modelers in selecting appropriate representation strategies. At the same time, it informs ecologists which field-measured plant properties are most critical for supporting reliable vegetation–flow modeling efforts, thereby fostering stronger integration between ecological field campaigns and hydrodynamic modeling studies.

Coastal Engineering Journal
Leibniz University Hannover (DE), University of Ottawa (CA), Technische Universität Braunschweig (DE)
Openalex Percentile: Top 10%
Coastal wetland ecosystem dynamics
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.