Most linked-to pages
From COST Action FP0804: FORSYS
Showing below up to 100 results starting with #101.
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- PEB (15 links)
- T(ree) (15 links)
- Any statistics method (15 links)
- Belgium-BoLa a specific sDSS to support land use planning in Flanders (15 links)
- Data and data management (15 links)
- Application (15 links)
- United Kingdom (15 links)
- Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non (15 links)
- SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders (14 links)
- User defined (14 links)
- Evaluating options (14 links)
- DSS allowed to explain better some technical concepts to non-professional stakeholders (14 links)
- VDDT-Path (14 links)
- Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice (14 links)
- OSMOSE (14 links)
- PLANFLOR (14 links)
- Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region (14 links)
- Sim4Tree (14 links)
- Mesta (14 links)
- EFISCEN (14 links)
- Italy-Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites (14 links)
- Defining the problem (14 links)
- Finland (14 links)
- Forest managers have to analyze how their forest management interventions effect the landscape (13 links)
- Enlarged decision space (13 links)
- Austria-Improving forestry extension services for small-scale private landowners (13 links)
- Monitoring and evaluating the outcome (13 links)
- Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the (13 links)
- Generation (13 links)
- Norway (13 links)
- MCDA (13 links)
- SGIS (13 links)
- United States-Boise-Payette-Sawtooth National Forest Plan (13 links)
- TAURON (13 links)
- The DSS models built must match the knowledge of the local forest managers, so the ability for local (13 links)
- Property:Has working group theme (13 links)
- End user engagement throughout the development and deployment cycle is very important (13 links)
- PSSis (13 links)
- An iterative process of presenting results to subject matter experts enabled them to better (13 links)
- SIMO (13 links)
- DSS helped document and apply decision criteria consistently, and therefore produced a more (13 links)
- ToSIA (13 links)
- A more informative output should be generated with clear graphs and maps indicating long-term (13 links)
- RODPOST (13 links)
- Analytical Hierarchy Process (AHP) (13 links)
- EcologicalSiteClassification (13 links)
- Slovenia (13 links)
- DSS can help in varying the treatment according to more than one forest function (12 links)
- PROTEUS (12 links)
- RPF (12 links)
- Type:Boolean (12 links)
- User interface and outputs (12 links)
- SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and (12 links)
- Running the DSS required special skills, therefore the local planning team required considerable (12 links)
- MONTE (12 links)
- Projection of stand development increases knowledge base (12 links)
- Belgium (12 links)
- Models and methods (12 links)
- TerEval (12 links)
- It would have been better to involve some end users at earlier stages of the system development (12 links)
- To meet the needs of customer - the Forest Service - and to obtain satisfying results the (12 links)
- A financial analysis is an important component in the discussion about the preferences of different (12 links)
- Analysis at the landscape level allowed the integration of concerns about multiple resources as well (12 links)
- Adapting the software to make it possible to easily include also the output of other mechanistic (12 links)
- Spatial variation between regions led to the development of different regional models, which led to (12 links)
- Despite the widely use and acceptance of the DSS there was still a lack of expertise to (12 links)
- Interface (12 links)
- PLANKAT (12 links)
- Afforestion and deforestation options should be included in the management options (12 links)
- Getting joint funding from both the forest and environmental sectors can be a successfull for (12 links)
- An optimisation module comparing alternative scenarios based on multi-criteria analysis should be (11 links)
- The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain (11 links)
- The ProgettoBosco working methodology, based on cooperation, successive approximations and (11 links)
- Neighbourhood interrelations should be included in the generator (11 links)
- Provide a simple version of the DSS, which new users can try out and learn quickly (11 links)
- Interpretative case studies can help reduce the gap between research and practice (11 links)
- Development (11 links)
- Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley (11 links)
- Users preferred enhanced functionality rather than useability (11 links)
- OpTimber-LP (11 links)
- ESC (11 links)
- Stakeholders contribution in ranking forest functions (11 links)
- Capabilities (11 links)
- SØK (11 links)
- Knowledge Identification (11 links)
- Project management (11 links)
- AVVIRK-2000 (11 links)
- New Zealand (11 links)
- Sweden-The history of a successfull forest DSS in Sweden (11 links)
- Using Actor Network Theory in the design stage can help in understanding the dynamism of the network (11 links)
- NorFor (11 links)
- The scope of the modeling project can change significantly during the project (10 links)
- The software did not provide much support for formatting of the outputs in a format that could be (10 links)
- The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable (10 links)
- Regular ongoing engagement helped maintain interest of users (10 links)
- The use of structured output (maps, tables and charts) makes the methodology and the results more (10 links)
- Chile (10 links)
- OffREval (10 links)
- Problem specification (10 links)
- Results are always strongly dependent on the quality of the underlying data (10 links)
