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  1. Market wood products‏‎ (285 links)
  2. Multiple objectives‏‎ (240 links)
  3. Long term (strategic)‏‎ (200 links)
  4. Type:String‏‎ (191 links)
  5. Forest level‏‎ (189 links)
  6. Single decision maker‏‎ (184 links)
  7. Non-market services‏‎ (181 links)
  8. Spatial with no neighbourhood interrelations‏‎ (141 links)
  9. Stand level‏‎ (130 links)
  10. Medium term (tactical)‏‎ (130 links)
  11. Market services‏‎ (110 links)
  12. Any simulation method‏‎ (108 links)
  13. Regional/national level‏‎ (107 links)
  14. Spatial with neighbourhood interrelations‏‎ (102 links)
  15. Market non-wood products‏‎ (99 links)
  16. More than one decision maker‏‎ (97 links)
  17. Single objective‏‎ (90 links)
  18. Non spatial‏‎ (90 links)
  19. Short term (operational)‏‎ (71 links)
  20. Use‏‎ (61 links)
  21. Harvest scheduling‏‎ (60 links)
  22. N/A‏‎ (60 links)
  23. More than one decision maker/stakeholder‏‎ (57 links)
  24. Help:Contents‏‎ (56 links)
  25. Linear programming‏‎ (50 links)
  26. Type:Page‏‎ (49 links)
  27. Developer/Architect‏‎ (47 links)
  28. EMDS‏‎ (44 links)
  29. Portugal‏‎ (42 links)
  30. Italy‏‎ (41 links)
  31. User‏‎ (40 links)
  32. Researcher‏‎ (35 links)
  33. PYL‏‎ (35 links)
  34. User:WikiSysop‏‎ (34 links)
  35. Growth models‏‎ (33 links)
  36. Forest inventory data‏‎ (32 links)
  37. Participation‏‎ (32 links)
  38. Any optimisation method‏‎ (31 links)
  39. DSD‏‎ (29 links)
  40. Heureka‏‎ (29 links)
  41. Germany‏‎ (28 links)
  42. Type:Number‏‎ (28 links)
  43. SIPAFIT‏‎ (27 links)
  44. FORFUN‏‎ (27 links)
  45. Yield models‏‎ (27 links)
  46. Group work / Expert meeting‏‎ (26 links)
  47. ProgettoBosco‏‎ (26 links)
  48. Spain‏‎ (25 links)
  49. ClimChAlp‏‎ (25 links)
  50. Stand development‏‎ (25 links)
  51. EFIMOD‏‎ (24 links)
  52. Facilitator‏‎ (24 links)
  53. Type:Text‏‎ (24 links)
  54. Mixed integer programming‏‎ (23 links)
  55. MyTestDSS‏‎ (23 links)
  56. United States‏‎ (22 links)
  57. Forest (inventory data) information management‏‎ (22 links)
  58. Nonlinear programming‏‎ (22 links)
  59. Transfer‏‎ (22 links)
  60. Architecture‏‎ (22 links)
  61. Austria‏‎ (22 links)
  62. User:Dominique Weber‏‎ (21 links)
  63. CONES‏‎ (21 links)
  64. Metaheuristic algorithm‏‎ (21 links)
  65. Multi-Criteria Approval‏‎ (21 links)
  66. Forest landscape development‏‎ (21 links)
  67. Ireland‏‎ (21 links)
  68. Sweden‏‎ (21 links)
  69. FMPP‏‎ (20 links)
  70. Hungary‏‎ (20 links)
  71. MELA‏‎ (20 links)
  72. Exploring options‏‎ (20 links)
  73. Denmark‏‎ (20 links)
  74. Harvest potential assessment‏‎ (20 links)
  75. WIS.2‏‎ (20 links)
  76. LEaRNForME‏‎ (20 links)
  77. SADPOF‏‎ (19 links)
  78. TestDSS‏‎ (19 links)
  79. Monsu‏‎ (19 links)
  80. SiWaWa‏‎ (19 links)
  81. None‏‎ (19 links)
  82. Switzerland‏‎ (18 links)
  83. Database‏‎ (18 links)
  84. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’‏‎ (18 links)
  85. ESC‏‎ (18 links)
  86. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest‏‎ (18 links)
  87. Knowledge management‏‎ (18 links)
  88. Multi-Attribute Utility Theory (MAUT)‏‎ (18 links)
  89. Stakeholder group / meeting‏‎ (17 links)
  90. United States-The forest plan revision process in the Okanogan Wenatchee National Forest‏‎ (17 links)
  91. Sim4Tree‏‎ (17 links)
  92. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners‏‎ (17 links)
  93. Specification‏‎ (17 links)
  94. United Kingdom‏‎ (17 links)
  95. Unspecified‏‎ (17 links)
  96. T(ree)‏‎ (17 links)
  97. PEB‏‎ (17 links)
  98. New Zealand-Modular Forest Management DSS in NZ‏‎ (17 links)
  99. Mesta‏‎ (16 links)
  100. VDDT-Path‏‎ (16 links)
  101. OSMOSE‏‎ (16 links)
  102. Update‏‎ (16 links)
  103. Brazil‏‎ (16 links)
  104. PLANFLOR‏‎ (16 links)
  105. Any statistics method‏‎ (16 links)
  106. United States-Watershed Condition Assessment for the Northwest Forest Plan‏‎ (16 links)
  107. Italy-A comprehensive system for forest management planning in Trentino Province‏‎ (16 links)
  108. Evaluation of forest development scenario‏‎ (16 links)
  109. Sweden-The development and introduction of versatile DSS in Sweden‏‎ (16 links)
  110. EFISCEN‏‎ (16 links)
  111. Non-computerized DSS‏‎ (16 links)
  112. SIMO‏‎ (16 links)
  113. Belgium-BoLa a specific sDSS to support land use planning in Flanders‏‎ (15 links)
  114. Finland‏‎ (15 links)
  115. Application‏‎ (15 links)
  116. EcologicalSiteClassification‏‎ (15 links)
  117. PSSis‏‎ (15 links)
  118. Belgium‏‎ (15 links)
  119. SGIS‏‎ (15 links)
  120. MONTE‏‎ (15 links)
  121. User defined‏‎ (15 links)
  122. TAURON‏‎ (15 links)
  123. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non‏‎ (15 links)
  124. Evaluating options‏‎ (15 links)
  125. RODPOST‏‎ (15 links)
  126. ToSIA‏‎ (15 links)
  127. DSS allowed to explain better some technical concepts to non-professional stakeholders‏‎ (14 links)
  128. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (14 links)
  129. PROTEUS‏‎ (14 links)
  130. RPF‏‎ (14 links)
  131. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders‏‎ (14 links)
  132. Analytical Hierarchy Process (AHP)‏‎ (14 links)
  133. Norway‏‎ (14 links)
  134. Defining the problem‏‎ (14 links)
  135. Slovenia‏‎ (14 links)
  136. TerEval‏‎ (14 links)
  137. Monitoring and evaluating the outcome‏‎ (14 links)
  138. Italy-Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites‏‎ (14 links)
  139. PLANKAT‏‎ (14 links)
  140. Data and data management‏‎ (14 links)
  141. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region‏‎ (14 links)
  142. NorFor‏‎ (13 links)
  143. SØK‏‎ (13 links)
  144. United States-Boise-Payette-Sawtooth National Forest Plan‏‎ (13 links)
  145. Forest managers have to analyze how their forest management interventions effect the landscape‏‎ (13 links)
  146. Enlarged decision space‏‎ (13 links)
  147. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the‏‎ (13 links)
  148. The DSS models built must match the knowledge of the local forest managers, so the ability for local‏‎ (13 links)
  149. End user engagement throughout the development and deployment cycle is very important‏‎ (13 links)
  150. OpTimber-LP‏‎ (13 links)
  151. An iterative process of presenting results to subject matter experts enabled them to better‏‎ (13 links)
  152. DSS helped document and apply decision criteria consistently, and therefore produced a more‏‎ (13 links)
  153. Property:Has working group theme‏‎ (13 links)
  154. A more informative output should be generated with clear graphs and maps indicating long-term‏‎ (13 links)
  155. Generation‏‎ (13 links)
  156. MCDA‏‎ (13 links)
  157. AVVIRK-2000‏‎ (13 links)
  158. Austria-Improving forestry extension services for small-scale private landowners‏‎ (13 links)
  159. Afforestion and deforestation options should be included in the management options‏‎ (12 links)
  160. Models and methods‏‎ (12 links)
  161. Getting joint funding from both the forest and environmental sectors can be a successfull for‏‎ (12 links)
  162. DSS can help in varying the treatment according to more than one forest function‏‎ (12 links)
  163. MAPSS‏‎ (12 links)
  164. OffREval‏‎ (12 links)
  165. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and‏‎ (12 links)
  166. Running the DSS required special skills, therefore the local planning team required considerable‏‎ (12 links)
  167. Interface‏‎ (12 links)
  168. Projection of stand development increases knowledge base‏‎ (12 links)
  169. It would have been better to involve some end users at earlier stages of the system development‏‎ (12 links)
  170. To meet the needs of customer - the Forest Service - and to obtain satisfying results the‏‎ (12 links)
  171. PractiSFM‏‎ (12 links)
  172. User interface and outputs‏‎ (12 links)
  173. A financial analysis is an important component in the discussion about the preferences of different‏‎ (12 links)
  174. Analysis at the landscape level allowed the integration of concerns about multiple resources as well‏‎ (12 links)
  175. Adapting the software to make it possible to easily include also the output of other mechanistic‏‎ (12 links)
  176. Spatial variation between regions led to the development of different regional models, which led to‏‎ (12 links)
  177. Despite the widely use and acceptance of the DSS there was still a lack of expertise to‏‎ (12 links)
  178. Type:Boolean‏‎ (12 links)
  179. KUBIK‏‎ (11 links)
  180. The ProgettoBosco working methodology, based on cooperation, successive approximations and‏‎ (11 links)
  181. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be‏‎ (11 links)
  182. Interpretative case studies can help reduce the gap between research and practice‏‎ (11 links)
  183. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley‏‎ (11 links)
  184. The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain‏‎ (11 links)
  185. Capabilities‏‎ (11 links)
  186. Neighbourhood interrelations should be included in the generator‏‎ (11 links)
  187. Provide a simple version of the DSS, which new users can try out and learn quickly‏‎ (11 links)
  188. Knowledge Identification‏‎ (11 links)
  189. EMIS‏‎ (11 links)
  190. Project management‏‎ (11 links)
  191. Using Actor Network Theory in the design stage can help in understanding the dynamism of the network‏‎ (11 links)
  192. Knowledge Storage‏‎ (11 links)
  193. Users preferred enhanced functionality rather than useability‏‎ (11 links)
  194. SifPlan‏‎ (11 links)
  195. Expert System‏‎ (11 links)
  196. Stakeholders contribution in ranking forest functions‏‎ (11 links)
  197. Sweden-The history of a successfull forest DSS in Sweden‏‎ (11 links)
  198. New Zealand‏‎ (11 links)
  199. ForMIS‏‎ (11 links)
  200. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model‏‎ (10 links)
  201. The analysis team used internal prototyping, which helped train the staff and identify possible‏‎ (10 links)
  202. From a management perspective, to avoid the complication of testing something new, the models used‏‎ (10 links)
  203. Harvesting technology selection‏‎ (10 links)
  204. Requirement of specialized skills can discourage some potential users‏‎ (10 links)
  205. The adoption of the collaborative learning method made possible to gradually select the conceptual‏‎ (10 links)
  206. Agflor‏‎ (10 links)
  207. The scope of the modeling project can change significantly during the project‏‎ (10 links)
  208. ForestGales‏‎ (10 links)
  209. Basic structure‏‎ (10 links)
  210. The software did not provide much support for formatting of the outputs in a format that could be‏‎ (10 links)
  211. Regular ongoing engagement helped maintain interest of users‏‎ (10 links)
  212. The use of structured output (maps, tables and charts) makes the methodology and the results more‏‎ (10 links)
  213. Identification‏‎ (10 links)
  214. The tracing of the actor network supported the identification of the key actors influencing the collaborative DSS implementation and institutionalization‏‎ (10 links)
  215. Utilities‏‎ (10 links)
  216. Development‏‎ (10 links)
  217. Estonia‏‎ (10 links)
  218. Results are always strongly dependent on the quality of the underlying data‏‎ (10 links)
  219. The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable‏‎ (10 links)
  220. Need of a moderator function‏‎ (10 links)
  221. Projmgt‏‎ (10 links)
  222. Chile‏‎ (10 links)
  223. Flexibility‏‎ (10 links)
  224. DSS‏‎ (10 links)
  225. The use of the DSS improved communication among the planning team by providing a framework of the‏‎ (10 links)
  226. Goal programming (GP)‏‎ (10 links)
  227. The tracing of the current actor network interactions made the group realize that they need a different kind of stakeholders from what they previously thought‏‎ (10 links)
  228. It should be possible to specify the rotation time of a species not only by age but also by target‏‎ (10 links)
  229. Use of the DSS has been considered successful by the participating organizations, even though it has‏‎ (10 links)
  230. Dynamic programming‏‎ (10 links)
  231. As the core of forest DSS are models describing the development of trees and stands (growth and‏‎ (10 links)
  232. Portugal-Supporting a multi stakeholders decision process in a Portuguese National Forest‏‎ (10 links)
  233. Russia‏‎ (10 links)
  234. Problem specification‏‎ (10 links)
  235. Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the‏‎ (10 links)
  236. Providing procedures and structure for data flow from selection of field sample, performing field‏‎ (9 links)
  237. Best Practices‏‎ (9 links)
  238. It is necessary to know which data will be use as variables in the models before designing the DSS‏‎ (9 links)
  239. Plan the system architecture based on a broad view of future possibilities‏‎ (9 links)
  240. HylobiusManagementSupportSystem‏‎ (9 links)
  241. The activation of an iterative process through periodical meetings permitted to all the stakeholders‏‎ (9 links)
  242. Guidance and help‏‎ (9 links)
  243. Category:Pinus sylvestris‏‎ (9 links)
  244. Monte Carlo simulation‏‎ (9 links)
  245. Design‏‎ (9 links)
  246. The definition of standardized and specific criteria for selecting and zoning forest compartment‏‎ (9 links)
  247. SADfLOR‏‎ (9 links)
  248. The development of large and enduring systems requires a long term approach‏‎ (9 links)
  249. Evaluation‏‎ (9 links)
  250. Forest fire‏‎ (9 links)

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