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A resilience-based approach for comparing expert preferences across two large-scale coastal management programs
Jongseong Ryu1, Thomas M Leschine, Jungho Nam
1School of Marine Affairs, University of Washington, Seattle, WA 98105-6715, USA. bbenthos@u.washington.edu,
Journal of Environmental Management
|September 11, 2010
Summary
Coastal resilience strategies are effectively assessed using a new framework that compares expert preferences in Masan Bay and Puget Sound. Legal objectives and knowledge translation were highly valued across both regions, guiding policy development.
Area of Science:
- Environmental Science
- Social Science
- Policy Analysis
Background:
- Coastal social-ecological systems require robust resilience-building strategies.
- Understanding expert preferences is crucial for effective coastal management.
Purpose of the Study:
- To propose and validate a method for assessing resilience-building components in coastal social-ecological systems.
- To compare expert preferences in Masan Bay (South Korea) and Puget Sound (USA) using a structured framework.
Main Methods:
- Analytic Hierarchy Process (AHP) to construct a hierarchic tree of 30 management objectives.
- Surveys with 35 Puget Sound experts (face-to-face) and 28 Masan Bay experts (mail).
- Analysis of Variance (ANOVA) and cluster analysis to compare expert preferences and identify respondent groups.
Main Results:
- Legal objectives and knowledge translation were highly preferred in both regions.
- Puget Sound experts prioritized education, habitat restoration, and species protection more than Masan Bay experts.
- Masan Bay experts emphasized legislation and institutional design; demographic factors generally did not explain preference differences.
Conclusions:
- The developed framework effectively identifies expert priorities for coastal management.
- Findings highlight regional differences in expert preferences, informing tailored coastal policy development.
- The method is applicable for enhancing resilience in coastal social-ecological systems globally.
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