Modelling vegetated dune landscapes

A. C. W. Baas; J. M. Nield

doi:10.1029/2006GL029152

Modelling vegetated dune landscapes

A. C. W. Baas^*, J. M. Nield

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

151 Citations (Scopus)

Abstract

This letter presents a self-organising cellular automaton model capable of simulating the evolution of vegetated dunes with multiple types of plant response in the environment. It can successfully replicate hairpin, or long-walled, parabolic dunes with trailing ridges as well as nebkha dunes with distinctive deposition tails. Quantification of simulated landscapes with eco-geomorphic state variables and subsequent cluster analysis and PCA yields a phase diagram of different types of coastal dunes developing from blow-outs as a function of vegetation vitality. This diagram indicates the potential sensitivity of dormant dune fields to reactivation under declining vegetation vitality, e. g. due to climatic changes. Nebkha simulations with different grid resolutions demonstrate that the interaction between the ( abiotic) geomorphic processes and the biological vegetation component ( life) introduces a characteristic length scale on the resultant landforms that breaks the typical self-similar scaling of (un-vegetated) bare-sand dunes.

Original language	English
Article number	06405
Pages (from-to)	N/A
Number of pages	5
Journal	GEOPHYSICAL RESEARCH LETTERS
Volume	34
Issue number	6
DOIs	https://doi.org/10.1029/2006GL029152
Publication status	Published - Mar 2007

Keywords

NETHERLANDS
WIND

Access to Document

10.1029/2006GL029152

Cite this

@article{c7b7b4dc134444a1bdbe0816dbea9352,

title = "Modelling vegetated dune landscapes",

abstract = "This letter presents a self-organising cellular automaton model capable of simulating the evolution of vegetated dunes with multiple types of plant response in the environment. It can successfully replicate hairpin, or long-walled, parabolic dunes with trailing ridges as well as nebkha dunes with distinctive deposition tails. Quantification of simulated landscapes with eco-geomorphic state variables and subsequent cluster analysis and PCA yields a phase diagram of different types of coastal dunes developing from blow-outs as a function of vegetation vitality. This diagram indicates the potential sensitivity of dormant dune fields to reactivation under declining vegetation vitality, e. g. due to climatic changes. Nebkha simulations with different grid resolutions demonstrate that the interaction between the ( abiotic) geomorphic processes and the biological vegetation component ( life) introduces a characteristic length scale on the resultant landforms that breaks the typical self-similar scaling of (un-vegetated) bare-sand dunes.",

keywords = "NETHERLANDS, WIND",

author = "Baas, {A. C. W.} and Nield, {J. M.}",

year = "2007",

month = mar,

doi = "10.1029/2006GL029152",

language = "English",

volume = "34",

pages = "N/A",

journal = "GEOPHYSICAL RESEARCH LETTERS",

issn = "1944-8007",

publisher = "Wiley-Blackwell",

number = "6",

}

TY - JOUR

T1 - Modelling vegetated dune landscapes

AU - Baas, A. C. W.

AU - Nield, J. M.

PY - 2007/3

Y1 - 2007/3

N2 - This letter presents a self-organising cellular automaton model capable of simulating the evolution of vegetated dunes with multiple types of plant response in the environment. It can successfully replicate hairpin, or long-walled, parabolic dunes with trailing ridges as well as nebkha dunes with distinctive deposition tails. Quantification of simulated landscapes with eco-geomorphic state variables and subsequent cluster analysis and PCA yields a phase diagram of different types of coastal dunes developing from blow-outs as a function of vegetation vitality. This diagram indicates the potential sensitivity of dormant dune fields to reactivation under declining vegetation vitality, e. g. due to climatic changes. Nebkha simulations with different grid resolutions demonstrate that the interaction between the ( abiotic) geomorphic processes and the biological vegetation component ( life) introduces a characteristic length scale on the resultant landforms that breaks the typical self-similar scaling of (un-vegetated) bare-sand dunes.

AB - This letter presents a self-organising cellular automaton model capable of simulating the evolution of vegetated dunes with multiple types of plant response in the environment. It can successfully replicate hairpin, or long-walled, parabolic dunes with trailing ridges as well as nebkha dunes with distinctive deposition tails. Quantification of simulated landscapes with eco-geomorphic state variables and subsequent cluster analysis and PCA yields a phase diagram of different types of coastal dunes developing from blow-outs as a function of vegetation vitality. This diagram indicates the potential sensitivity of dormant dune fields to reactivation under declining vegetation vitality, e. g. due to climatic changes. Nebkha simulations with different grid resolutions demonstrate that the interaction between the ( abiotic) geomorphic processes and the biological vegetation component ( life) introduces a characteristic length scale on the resultant landforms that breaks the typical self-similar scaling of (un-vegetated) bare-sand dunes.

KW - NETHERLANDS

KW - WIND

U2 - 10.1029/2006GL029152

DO - 10.1029/2006GL029152

M3 - Article

SN - 1944-8007

VL - 34

SP - N/A

JO - GEOPHYSICAL RESEARCH LETTERS

JF - GEOPHYSICAL RESEARCH LETTERS

IS - 6

M1 - 06405

ER -

Modelling vegetated dune landscapes

Abstract

Keywords

Access to Document

Fingerprint

Cite this