The University of Southampton
University of Southampton Institutional Repository

Modelling vegetated dune landscapes

Record type: Article

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.

Full text not available from this repository.

Citation

Baas, A.C.W. and Nield, J.M. (2007) Modelling vegetated dune landscapes Geophysical Research Letters, 34, L06405-[5pp]. (doi:10.1029/2006GL029152).

More information

Submitted date: 20 December 2006
Published date: 23 March 2007
Keywords: aeolian dunes, vegetation, phase diagram
Organisations: Environmental Processes & Change

Identifiers

Local EPrints ID: 49334
URI: http://eprints.soton.ac.uk/id/eprint/49334
ISSN: 0094-8276
PURE UUID: b61f7721-9b8b-4cbd-940d-f88165e35c5c
ORCID for J.M. Nield: ORCID iD orcid.org/0000-0002-2657-0525

Catalogue record

Date deposited: 30 Oct 2007
Last modified: 17 Jul 2017 14:56

Export record

Altmetrics


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×