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Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is
Growth and Yield models are a key component of forest DSS
Interpretative case studies can help reduce the gap between research and practice
It is necessary to know which data will be use as variables in the models before designing the DSS
It should be possible to specify the rotation time of a species not only by age but also by target
It would have been better to involve some end users at earlier stages of the system development
Lack of proper documentation and support services (manual, website, etc) can severely limit the
Model building was rapid, it was assembling the data that took by far the most time
Modular approach helpful in assisting industry uptake
Multiple DSS are often needed to meet complex needs
Need of a moderator function
Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use
Neighbourhood interrelations should be included in the generator
Operational aspects of the system should be enhanced
Pareto Frontier Techniques are useful for multi-criteria forest management planning
Plan the system architecture based on a broad view of future possibilities
Projection of stand development increases knowledge base
Provide a simple version of the DSS, which new users can try out and learn quickly
Provide missing help-documentation service
Providing procedures and structure for data flow from selection of field sample, performing field
"knowledge management" is not in the list of possible values (Dss development process, Models & techniques, Knowledge management, Participation) for this property.
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