期刊
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
卷 29, 期 -, 页码 96-107出版社
TAYLOR & FRANCIS AS
DOI: 10.1080/02827581.2013.851277
关键词
multi-criteria analysis; knowledge transfer; decision support systems; optimization
类别
资金
- MOTIVE under EU [226544]
The design and implementation of the adaptive forest management (AFM) ToolBox is presented. Design principles derived from previous experiences in decision support system (DSS) development include support for (1) modularity, (2) accessibility via the Internet, (3) inclusion of different types of knowledge and information, (4) the use of different data sources, and (5) specific problem types. As major components of the AFM ToolBox DataBase, Vulnerability Assessment Tools (single user version, group mode) and an optimization tool to generate optimized management plans at the level of management units or landscapes are highlighted. A key feature is the distinction of two archetypical user profiles (manager, analyst). The AFM ToolBox is evaluated against eight criteria for the assessment of DSS. It is concluded that the ToolBox approach setting focus on modularity while avoiding to over-emphasis technical integration provides the right frame to secure the flexibility regarding tools and decision-making processes which is mandatory if a DSS should be taken up by practice.
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