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The influence of different environmental and climatic conditions on vegetated aeolian dune landscape development and response

The influence of different environmental and climatic conditions on vegetated aeolian dune landscape development and response
The influence of different environmental and climatic conditions on vegetated aeolian dune landscape development and response
Aeolian dune field development in coastal and semi-arid environments is a function of complex ecogeomorphic interactions which are sensitive to fluctuations in climatic and environmental conditions. We explore the relationships between ecological and geomorphic processes in the development of these landscape patterns and speculate on their response to variations in vegetation vitality and sediment transport capacity, indicating possible consequences of climate and land use change, using the Discrete ECogeomorphic Aeolian Landscape (DECAL) cellular automaton algorithm. This algorithm models dune field behaviour that reflects long-term trends prevalent in palaeo-records, but also elucidates possible evolutionary progressions, relaxation period sequences and threshold sensitivities. The landscape response is sensitive both to the perturbation itself and the state of the system when the disturbance occurs. Response amplitude decreases in simulated systems with reduced mobility unless an external disturbance mimicking fire or land clearance is applied concurrently with a reduction in growth vigour triggering a threshold type response when sufficient vegetation is removed. The model demonstrates that the relative response characteristics of the multiple vegetation types and their mutual feedback with geomorphic processes impart a significant influence on landscape equilibrium or attractor states. Fast growing vegetation enables the formation of hairpin (long-walled) parabolic dune systems, which eventually become sediment starved and stabilise, whereas inhospitable conditions inhibiting vegetation growth contribute to the development of active transgressive transverse dune fields. This simple vegetated dune model illustrates the power and versatility of a cellular automaton approach for exploring thresholds, sensitivities and possible evolutionary trajectories associated with the interactions between ecology, geomorphology and climatic conditions in complex earth surface systems.
aeolian features, landform evolution, cellular automata, self-organisation, environmental effects, parabolic dunes
0921-8181
76-92
Nield, Joanna M.
173be2c5-b953-481a-abc4-c095e5e4b790
Baas, Andreas C.W.
f9bd9c55-121f-4ecd-a49b-587075f12ae6
Nield, Joanna M.
173be2c5-b953-481a-abc4-c095e5e4b790
Baas, Andreas C.W.
f9bd9c55-121f-4ecd-a49b-587075f12ae6

Nield, Joanna M. and Baas, Andreas C.W. (2008) The influence of different environmental and climatic conditions on vegetated aeolian dune landscape development and response. [in special issue: DGVM Responses to the Latest IPCC Future Climate Scenarios] Global and Planetary Change, 64 (1-2), 76-92. (doi:10.1016/j.gloplacha.2008.10.002).

Record type: Article

Abstract

Aeolian dune field development in coastal and semi-arid environments is a function of complex ecogeomorphic interactions which are sensitive to fluctuations in climatic and environmental conditions. We explore the relationships between ecological and geomorphic processes in the development of these landscape patterns and speculate on their response to variations in vegetation vitality and sediment transport capacity, indicating possible consequences of climate and land use change, using the Discrete ECogeomorphic Aeolian Landscape (DECAL) cellular automaton algorithm. This algorithm models dune field behaviour that reflects long-term trends prevalent in palaeo-records, but also elucidates possible evolutionary progressions, relaxation period sequences and threshold sensitivities. The landscape response is sensitive both to the perturbation itself and the state of the system when the disturbance occurs. Response amplitude decreases in simulated systems with reduced mobility unless an external disturbance mimicking fire or land clearance is applied concurrently with a reduction in growth vigour triggering a threshold type response when sufficient vegetation is removed. The model demonstrates that the relative response characteristics of the multiple vegetation types and their mutual feedback with geomorphic processes impart a significant influence on landscape equilibrium or attractor states. Fast growing vegetation enables the formation of hairpin (long-walled) parabolic dune systems, which eventually become sediment starved and stabilise, whereas inhospitable conditions inhibiting vegetation growth contribute to the development of active transgressive transverse dune fields. This simple vegetated dune model illustrates the power and versatility of a cellular automaton approach for exploring thresholds, sensitivities and possible evolutionary trajectories associated with the interactions between ecology, geomorphology and climatic conditions in complex earth surface systems.

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More information

e-pub ahead of print date: 17 October 2008
Published date: November 2008
Keywords: aeolian features, landform evolution, cellular automata, self-organisation, environmental effects, parabolic dunes
Organisations: Environmental Processes & Change

Identifiers

Local EPrints ID: 63998
URI: http://eprints.soton.ac.uk/id/eprint/63998
ISSN: 0921-8181
PURE UUID: d140acb6-de10-4351-beb3-4768f7b11f21
ORCID for Joanna M. Nield: ORCID iD orcid.org/0000-0002-2657-0525

Catalogue record

Date deposited: 24 Nov 2008
Last modified: 16 Mar 2024 03:56

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Contributors

Author: Joanna M. Nield ORCID iD
Author: Andreas C.W. Baas

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