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  1. STANDPACK‏‎ (4 links)
  2. VDDT‏‎ (4 links)
  3. Simosol‏‎ (4 links)
  4. Biodiversity‏‎ (4 links)
  5. KU Leuven‏‎ (4 links)
  6. Effects of data quality‏‎ (4 links)
  7. Germany:Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (4 links)
  8. Conservation value‏‎ (4 links)
  9. Effects of models‏‎ (4 links)
  10. The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest‏‎ (4 links)
  11. Participative modelling of long-term wood production in the forest complex ‘Bosland’‏‎ (3 links)
  12. Instituto Superior de Agronomia‏‎ (3 links)
  13. Watershed Condition Assessment for the Northwest Forest Plan‏‎ (3 links)
  14. What-if analysis‏‎ (3 links)
  15. Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites‏‎ (3 links)
  16. AS‏‎ (3 links)
  17. Norwegian University of Life Sciences‏‎ (3 links)
  18. Boise-Payette-Sawtooth National Forest Plan‏‎ (3 links)
  19. Graphics‏‎ (3 links)
  20. Supporting a multi stakeholders decision process in a Portuguese National Forest‏‎ (3 links)
  21. Intelligent agent‏‎ (3 links)
  22. Universidade Técnica de Lisboa.‏‎ (3 links)
  23. Form:Case study‏‎ (3 links)
  24. SOSKLIMA‏‎ (3 links)
  25. DSS development‏‎ (3 links)
  26. ‏‎ (3 links)
  27. SIMANFOR‏‎ (3 links)
  28. Type:Email‏‎ (3 links)
  29. Improving forestry extension services for small-scale private landowners‏‎ (3 links)
  30. UML‏‎ (3 links)
  31. The development and introduction of versatile DSS in Sweden‏‎ (3 links)
  32. Institutionalization‏‎ (3 links)
  33. /sandbox‏‎ (3 links)
  34. A Decision Support System for eucalypt forest management under climate change scenarios‏‎ (3 links)
  35. Integrating an ecosystem model into SADfLOR Decision Support platform for optimal forest management planning under changing climate in boreal conditions.‏‎ (3 links)
  36. The forest plan revision process in the Okanogan Wenatchee National Forest‏‎ (3 links)
  37. /testcases‏‎ (3 links)
  38. SAPPI FMS‏‎ (3 links)
  39. Belgium-Participative modelling of long-term wood production in the forest complex Bosland‏‎ (3 links)
  40. The history of a successfull forest DSS in Sweden‏‎ (3 links)
  41. Template:Documentation/docname‏‎ (3 links)
  42. Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (3 links)
  43. Modular Forest Management DSS in NZ‏‎ (3 links)
  44. Centro de Estudos Florestais‏‎ (3 links)
  45. Syunev 2004‏‎ (3 links)
  46. Template:Pp-meta‏‎ (3 links)
  47. An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change‏‎ (3 links)
  48. System requirement and design‏‎ (2 links)
  49. GBNL‏‎ (2 links)
  50. Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non‏‎ (2 links)
  51. Bottom up approach in designing software architecture and features (OOP)‏‎ (2 links)
  52. PractiSFM multi-resource inventory and decision support for private forest owners‏‎ (2 links)
  53. RODAL-ARBOREX‏‎ (2 links)
  54. Forester GIS‏‎ (2 links)
  55. Wolschart‏‎ (2 links)
  56. Coming soon...‏‎ (2 links)
  57. Enterprise Architecture‏‎ (2 links)
  58. ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region‏‎ (2 links)
  59. Heureka.Knowledge management process‏‎ (2 links)
  60. Mushrooms‏‎ (2 links)
  61. BoLa a specific sDSS to support land use planning in Flanders‏‎ (2 links)
  62. GIS and ME‏‎ (2 links)
  63. ---‏‎ (2 links)
  64. SADfLOR v pp 1.0‏‎ (2 links)
  65. PrOFA‏‎ (2 links)
  66. Gaya - SGIS‏‎ (2 links)
  67. ZEUS‏‎ (2 links)
  68. 1) user requirements analysis following Delphi approach‏‎ (2 links)
  69. Developing a collaborative management plan for the NIFP in Vale do Sousa‏‎ (2 links)
  70. To be filled‏‎ (2 links)
  71. Sustainable Management of Mediterranean Forest: Valencian Community Case‏‎ (2 links)
  72. 2) CA‏‎ (2 links)
  73. Developing a management plan for the CHAMUSCA county‏‎ (2 links)
  74. Tobe filled‏‎ (2 links)
  75. Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company‏‎ (2 links)
  76. GIS‏‎ (2 links)
  77. FIS‏‎ (2 links)
  78. 3) version control and buck tracking system‏‎ (2 links)
  79. SCRUM/Agile‏‎ (2 links)
  80. 4) iterative development since 2007 with permanent testing and user feed-back‏‎ (2 links)
  81. Institute of Silviculture‏‎ (2 links)
  82. ETCAP‏‎ (2 links)
  83. User training individual to provide optimal mix of Apps‏‎ (2 links)
  84. DSS Template‏‎ (2 links)
  85. A comprehensive system for forest management planning in Trentino Province‏‎ (2 links)
  86. 5) Used for regional planning‏‎ (2 links)
  87. TAKARNET‏‎ (2 links)
  88. Integrating wood quality considerations in landscape-level forest planning‏‎ (2 links)
  89. USDA Forest Service‏‎ (2 links)
  90. Example DSS/SHRIMP‏‎ (2 links)
  91. 6) Version management and feed-back collection handled by the software enterprise PiSolution GmbH‏‎ (2 links)
  92. Allocation of slope protection measures‏‎ (2 links)
  93. JOVOKEP‏‎ (2 links)
  94. US Department of Agriculture - Forest Service‏‎ (2 links)
  95. Template:Transclude‏‎ (2 links)
  96. 7) now adaptation for land use planning in Western Africa‏‎ (2 links)
  97. HedeDanmark‏‎ (2 links)
  98. Metsähallitus‏‎ (1 link)
  99. O+BN‏‎ (1 link)
  100. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Knowledge management process‏‎ (1 link)
  101. Cases‏‎ (1 link)
  102. Research institution‏‎ (1 link)
  103. Type:Record‏‎ (1 link)
  104. Portugal-Developing a management plan for the CHAMUSCA county.Description of DSS development‏‎ (1 link)
  105. Italy-A comprehensive system for forest management planning in Trentino Province.Support of social participation‏‎ (1 link)
  106. Growth and Yield models are a key component of forest DSS.Description of DSS development‏‎ (1 link)
  107. University College Dublin‏‎ (1 link)
  108. Etc) may decrease the number of comparisons‏‎ (1 link)
  109. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Decision support techniques‏‎ (1 link)
  110. Fast‏‎ (1 link)
  111. Dss development process, Participation, Knowledge management‏‎ (1 link)
  112. It would have been better to involve some end users at earlier stages of the system development.Description of DSS development‏‎ (1 link)
  113. Need of a moderator function.Knowledge management process‏‎ (1 link)
  114. The scope of the modeling project can change significantly during the project.Description of DSS development‏‎ (1 link)
  115. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Decision support techniques‏‎ (1 link)
  116. Providing procedures and structure for data flow from selection of field sample, performing field.Support of social participation‏‎ (1 link)
  117. Adapting the software to make it possible to easily include also the output of other mechanistic.Support of social participation‏‎ (1 link)
  118. Afonso IV of Portugal‏‎ (1 link)
  119. United States-Boise-Payette-Sawtooth National Forest Plan.Description of DSS development‏‎ (1 link)
  120. Pedro V of Portugal‏‎ (1 link)
  121. The use of structured output (maps, tables and charts) makes the methodology and the results more.Decision support techniques‏‎ (1 link)
  122. Spatial variation between regions led to the development of different regional models, which led to.Decision support techniques‏‎ (1 link)
  123. Template:DSS description, Support of knowledge management process‏‎ (1 link)
  124. Voronov 2010‏‎ (1 link)
  125. ForestGales.Support of social participation‏‎ (1 link)
  126. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Description of DSS development‏‎ (1 link)
  127. Property:Additional information‏‎ (1 link)
  128. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Decision support techniques‏‎ (1 link)
  129. The choice to develop the system in an Excel environment was based on the status of computer.Support of social participation‏‎ (1 link)
  130. A more informative output should be generated with clear graphs and maps indicating long-term.Decision support techniques‏‎ (1 link)
  131. Question: Is it important to define the responsibilities and ownership for the DSS development process?‏‎ (1 link)
  132. Using Actor Network Theory in the design stage can help in understanding the dynamism of the network.Support of social participation‏‎ (1 link)
  133. Property:Has working group theme:Knowledge management‏‎ (1 link)
  134. University of Copenhagen‏‎ (1 link)
  135. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Decision support techniques‏‎ (1 link)
  136. Getting joint funding from both the forest and environmental sectors can be a successfull for.Description of DSS development‏‎ (1 link)
  137. A financial analysis is an important component in the discussion about the preferences of different.Knowledge management process‏‎ (1 link)
  138. A a test lesson.Support of social participation‏‎ (1 link)
  139. Enlarge the decision space by generating a large set of potential management alternatives.Description of DSS development‏‎ (1 link)
  140. Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the.Description of DSS development‏‎ (1 link)
  141. T4.Software identification‏‎ (1 link)
  142. Alternative silvicultural prescriptions can be computed or an already existing scenario modified. Thereby the user is supported by the scenario manager. For a given scenario‏‎ (1 link)
  143. Henry of Portugal‏‎ (1 link)
  144. Ongoing development‏‎ (1 link)
  145. Modular approach helpful in assisting industry uptake.Description of DSS development‏‎ (1 link)
  146. Tosia‏‎ (1 link)
  147. Pareto Frontier Techniques are useful for multi-criteria forest management planning.Decision support techniques‏‎ (1 link)
  148. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Knowledge management process‏‎ (1 link)
  149. Portugal-Integrating an ecosystem model into SADfLOR Decision Support platform for optimal forest management planning under changing climate in boreal conditions..Description of DSS development‏‎ (1 link)
  150. Form:Social participation‏‎ (1 link)
  151. ATestCase.Support of social participation‏‎ (1 link)
  152. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural‏‎ (1 link)
  153. Case Lessons involving software development on subform‏‎ (1 link)
  154. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is.Decision support techniques‏‎ (1 link)
  155. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Knowledge management process‏‎ (1 link)
  156. MatrixGen.Support of social participation‏‎ (1 link)
  157. It is necessary to know which data will be use as variables in the models before designing the DSS.Knowledge management process‏‎ (1 link)
  158. MESTA.TATTI‏‎ (1 link)
  159. Austria-Improving forestry extension services for small-scale private landowners.Knowledge management process‏‎ (1 link)
  160. Need for new models for the later use of a tool.Decision support techniques‏‎ (1 link)
  161. Template:STSM Opportunity‏‎ (1 link)
  162. The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain.Description of DSS development‏‎ (1 link)
  163. Use of the DSS has been considered successful by the participating organizations, even though it has.Description of DSS development‏‎ (1 link)
  164. Stakeholder involvement in DSS design.Description of DSS development‏‎ (1 link)
  165. Belgium-BoLa a specific sDSS to support land use planning in Flanders.Description of DSS development‏‎ (1 link)
  166. The ProgettoBosco working methodology, based on cooperation, successive approximations and.Decision support techniques‏‎ (1 link)
  167. Agricultural Research Council (CRA)‏‎ (1 link)
  168. HSS‏‎ (1 link)
  169. John V of Portugal‏‎ (1 link)
  170. Portugal-A Decision Support System for eucalypt forest management under climate change scenarios.Support of social participation‏‎ (1 link)
  171. Analysis at the landscape level allowed the integration of concerns about multiple resources as well.Support of social participation‏‎ (1 link)
  172. Firecol‏‎ (1 link)
  173. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Knowledge management process‏‎ (1 link)
  174. MAPSS.Software‏‎ (1 link)
  175. Wildalpen/KATER II‏‎ (1 link)
  176. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Support of social participation‏‎ (1 link)
  177. Population dynamics‏‎ (1 link)
  178. ForMIS.Software‏‎ (1 link)
  179. Has related country study‏‎ (1 link)
  180. Portugal-Developing a management plan for the CHAMUSCA county.Knowledge management process‏‎ (1 link)
  181. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Decision support techniques‏‎ (1 link)
  182. Growth and Yield models are a key component of forest DSS.Knowledge management process‏‎ (1 link)
  183. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Decision support techniques‏‎ (1 link)
  184. Herbicide advisor‏‎ (1 link)
  185. In this paper‏‎ (1 link)
  186. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Description of DSS development‏‎ (1 link)
  187. Fox‏‎ (1 link)
  188. Models & techniques‏‎ (1 link)
  189. It would have been better to involve some end users at earlier stages of the system development.Knowledge management process‏‎ (1 link)
  190. Need of a moderator function.Support of social participation‏‎ (1 link)
  191. The scope of the modeling project can change significantly during the project.Knowledge management process‏‎ (1 link)
  192. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Description of DSS development‏‎ (1 link)
  193. KUBIK.Software‏‎ (1 link)
  194. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Decision support techniques‏‎ (1 link)
  195. Afonso I of Portugal‏‎ (1 link)
  196. United States-Boise-Payette-Sawtooth National Forest Plan.Knowledge management process‏‎ (1 link)
  197. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Decision support techniques‏‎ (1 link)
  198. Heureka PlanWise‏‎ (1 link)
  199. Peter III of Portugal‏‎ (1 link)
  200. The use of structured output (maps, tables and charts) makes the methodology and the results more.Description of DSS development‏‎ (1 link)
  201. Spatial variation between regions led to the development of different regional models, which led to.Description of DSS development‏‎ (1 link)
  202. Template:DSS description, Support of social participation‏‎ (1 link)
  203. FEIDESSYS‏‎ (1 link)
  204. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Knowledge management process‏‎ (1 link)
  205. Operational aspects of the system should be enhanced.Decision support techniques‏‎ (1 link)
  206. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Description of DSS development‏‎ (1 link)
  207. Involving local stakeholders in ranking the functions allowed to show them tangibly how their‏‎ (1 link)
  208. Students studying forest management planning procedures and processes were very useful ‘guinea pigs’.Decision support techniques‏‎ (1 link)
  209. A more informative output should be generated with clear graphs and maps indicating long-term.Description of DSS development‏‎ (1 link)
  210. Question: Is it important to facilitate a process for the problem definition before starting design and programming?‏‎ (1 link)
  211. At the Department of Forest and Soil Sciences‏‎ (1 link)
  212. Property:Has working group theme:Models & techniques‏‎ (1 link)
  213. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Description of DSS development‏‎ (1 link)
  214. Getting joint funding from both the forest and environmental sectors can be a successfull for.Knowledge management process‏‎ (1 link)
  215. A financial analysis is an important component in the discussion about the preferences of different.Support of social participation‏‎ (1 link)
  216. Recreation‏‎ (1 link)
  217. Enlarge the decision space by generating a large set of potential management alternatives.Knowledge management process‏‎ (1 link)
  218. Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the.Knowledge management process‏‎ (1 link)
  219. T4.Support of Knowledge Management‏‎ (1 link)
  220. Intensity (amount of timber) and temporal progression (period) of a silvicultural treatment.‏‎ (1 link)
  221. House of Aviz‏‎ (1 link)
  222. CRA-MPF - Trento - Italy‏‎ (1 link)
  223. Modular approach helpful in assisting industry uptake.Knowledge management process‏‎ (1 link)
  224. Pareto Frontier Techniques are useful for multi-criteria forest management planning.Description of DSS development‏‎ (1 link)
  225. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Support of social participation‏‎ (1 link)
  226. Portugal-Integrating an ecosystem model into SADfLOR Decision Support platform for optimal forest management planning under changing climate in boreal conditions..Knowledge management process‏‎ (1 link)
  227. LandSim‏‎ (1 link)
  228. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Decision support techniques‏‎ (1 link)
  229. DSS allowed to explain better some technical concepts to non-professional stakeholders.Decision support techniques‏‎ (1 link)
  230. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is.Description of DSS development‏‎ (1 link)
  231. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Support of social participation‏‎ (1 link)
  232. Case Handbook‏‎ (1 link)
  233. It is necessary to know which data will be use as variables in the models before designing the DSS.Support of social participation‏‎ (1 link)
  234. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Decision support techniques‏‎ (1 link)
  235. Austria-Improving forestry extension services for small-scale private landowners.Support of social participation‏‎ (1 link)
  236. Need for new models for the later use of a tool.Description of DSS development‏‎ (1 link)
  237. PractiSFM.Description of DSS development‏‎ (1 link)
  238. The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain.Knowledge management process‏‎ (1 link)
  239. Use of the DSS has been considered successful by the participating organizations, even though it has.Knowledge management process‏‎ (1 link)
  240. Stakeholder involvement in DSS design.Knowledge management process‏‎ (1 link)
  241. Belgium-BoLa a specific sDSS to support land use planning in Flanders.Knowledge management process‏‎ (1 link)
  242. The ProgettoBosco working methodology, based on cooperation, successive approximations and.Description of DSS development‏‎ (1 link)
  243. Http://www.skogforsk.se/‏‎ (1 link)
  244. EIR‏‎ (1 link)
  245. Joseph I of Portugal‏‎ (1 link)
  246. The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable.Decision support techniques‏‎ (1 link)
  247. D.t2‏‎ (1 link)
  248. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Support of social participation‏‎ (1 link)
  249. CommonGIS‏‎ (1 link)
  250. RoNET-KNA‏‎ (1 link)

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