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DSS can help in varying the treatment according to more than one forest function +
, DSS helped document and apply decision criteria consistently, and therefore produced a more +
, Despite the widely use and acceptance of the DSS there was still a lack of expertise to +
, Model building was rapid, it was assembling the data that took by far the most time +
, Projection of stand development increases knowledge base +
, Regular ongoing engagement helped maintain interest of users +
, Results are always strongly dependent on the quality of the underlying data +
, SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders +
, SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and +
, Stakeholders contribution in ranking forest functions +
, The DSS models built must match the knowledge of the local forest managers, so the ability for local +
, The DSS usage enabled the planning team to measure the achievement of the restoration goals +
, The use of EMDS allowed the planning team to identify priority area for restoration treatments that +
, The use of structured output (maps, tables and charts) makes the methodology and the results more +
, The use of the DSS improved communication among the planning team by providing a framework of the +
, The user has to be aware of the possibly large impact that the chosen land indicators and threshold +
, To meet the needs of customer - the Forest Service - and to obtain satisfying results the +
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Has domain
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