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REGIONAL RISK RANKING FOR INTEGRATED LAND-SEA RESOURCE MANAGEMENT
Abstract
Models for resource and environmental management should be as specific as possible, but complex, regional environments are highly variable and not readily compared, as would be desired for decision support. This paper presents selected tools to improve the transparency and quantitative character of modelling procedures and databases are presented. These methods are largely related to existing procedures for regional relative risk ranking, but also include system structural analysis and risk classification. Several case studies from the Swedish west coast illustrate that modelling facilitates comparisons and adds transparency regarding the input data and parameter weightings. Multiple databases and multiple perspectives also require iterative revision and verification as part of the modelling of complex environmental systems.
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