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Vulnerability analysis in environmental management: widening and deepening its approach

Published online by Cambridge University Press:  05 October 2007

LORAINE MCFADDEN*
Affiliation:
Flood Hazard Research Centre, Middlesex University, Enfield EN3 4SA, UK
*
*Correspondence: Dr Loraine McFadden Tel: +44 208411 5531 Fax: +44 208411 5403 e-mail: L.McFadden@mdx.ac.uk
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Summary

Current threshold-dominated methodologies of vulnerability analysis do not give sufficient emphasis to the processes that shape the environment and define the behaviour of environmental systems. While there has been widespread recognition for developing comprehensive approaches to assessing vulnerability, there has been relatively little theoretical debate on limitations and opportunities for improving the application of vulnerability analysis to environmental management, particularly in terms of a more complex systems perspective. A functional-based approach to ‘vulnerability’ is a means whereby the dynamics of vulnerable systems could be more fully integrated within vulnerability analysis. Functionality is seen as the ability of the environment to deliver outputs through time. Vulnerability analysis that is focused not only on thresholds that define the limits of system behaviour, but also on the process-defined capacity of systems to maintain this behaviour and deliver those outputs, could emerge as a useful element in integrated environmental management. Linking threshold analysis with a clear understanding of the interactions, differences and similarities between system processes which define coping ranges and system performance is a relatively simple conceptual development in vulnerability analysis. Such a development could, if successful, be of great value to those managing complex environments.

Information

Type
Papers
Copyright
Copyright © Foundation for Environmental Conservation 2007
Figure 0

Figure 1 A simplified model of the relationship between threshold analysis, self- regulation within environmental systems and identifying vulnerable states of the environment. Where the stability of a system is changing through time, significant shifts in system behaviour (Y1 – Y2) can be related to thresholds of self-regulation (X1). In vulnerability analysis, these thresholds define limits of the coping ranges associated to a system attributes (x), reflecting the capacity to accommodation variations in system conditions and characteristics without producing significant impacts on system behaviour.

Figure 1

Figure 2 An example of the complexity of thresholds defining the behaviour of a simple linear model system. Multiple temporal and spatially defined thresholds within the sub-systems characterize the behaviour of the total system response.

Figure 2

Figure 3 Decision-making tools such as cost-benefit analysis (CBA) and multi-criteria analysis (MCA) do not explicitly link process-defined behaviour with system output and functions.