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Showing below up to 500 results in range #51 to #550.

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  1. Simosol‏‎ (4 links)
  2. StandSIMOPT‏‎ (4 links)
  3. T2‏‎ (4 links)
  4. The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest‏‎ (4 links)
  5. ‏‎ (4 links)
  6. VDDT‏‎ (4 links)
  7. KU Leuven‏‎ (4 links)
  8. Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company‏‎ (4 links)
  9. Effects of data quality‏‎ (4 links)
  10. STANDPACK‏‎ (4 links)
  11. Electronic spreadsheets‏‎ (4 links)
  12. Effects of models‏‎ (4 links)
  13. Biodiversity‏‎ (4 links)
  14. What-if analysis‏‎ (3 links)
  15. Belgium-Participative modelling of long-term wood production in the forest complex Bosland‏‎ (3 links)
  16. A Decision Support System for eucalypt forest management under climate change scenarios‏‎ (3 links)
  17. Universidade Técnica de Lisboa.‏‎ (3 links)
  18. DSS development‏‎ (3 links)
  19. Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (3 links)
  20. An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change‏‎ (3 links)
  21. The development and introduction of versatile DSS in Sweden‏‎ (3 links)
  22. Norwegian University of Life Sciences‏‎ (3 links)
  23. Syunev 2004‏‎ (3 links)
  24. Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites‏‎ (3 links)
  25. The forest plan revision process in the Okanogan Wenatchee National Forest‏‎ (3 links)
  26. Graphics‏‎ (3 links)
  27. UML‏‎ (3 links)
  28. Boise-Payette-Sawtooth National Forest Plan‏‎ (3 links)
  29. The history of a successfull forest DSS in Sweden‏‎ (3 links)
  30. Intelligent agent‏‎ (3 links)
  31. Centro de Estudos Florestais‏‎ (3 links)
  32. Improving forestry extension services for small-scale private landowners‏‎ (3 links)
  33. T4‏‎ (3 links)
  34. AS‏‎ (3 links)
  35. /sandbox‏‎ (3 links)
  36. Type:Email‏‎ (3 links)
  37. Instituto Superior de Agronomia‏‎ (3 links)
  38. Integrating an ecosystem model into SADfLOR Decision Support platform for optimal forest management planning under changing climate in boreal conditions.‏‎ (3 links)
  39. Watershed Condition Assessment for the Northwest Forest Plan‏‎ (3 links)
  40. /testcases‏‎ (3 links)
  41. Mushrooms‏‎ (3 links)
  42. USDA Forest Service‏‎ (3 links)
  43. Modular Forest Management DSS in NZ‏‎ (3 links)
  44. Form:Case study‏‎ (3 links)
  45. SOSKLIMA‏‎ (3 links)
  46. Template:Documentation/docname‏‎ (3 links)
  47. Participative modelling of long-term wood production in the forest complex ‘Bosland’‏‎ (3 links)
  48. Template:Pp-meta‏‎ (3 links)
  49. SAPPI FMS‏‎ (3 links)
  50. Supporting a multi stakeholders decision process in a Portuguese National Forest‏‎ (3 links)
  51. SIMANFOR‏‎ (3 links)
  52. Institutionalization‏‎ (3 links)
  53. MAPSS.Software‏‎ (2 links)
  54. System requirement and design‏‎ (2 links)
  55. US Department of Agriculture - Forest Service‏‎ (2 links)
  56. SIGFOR.Software‏‎ (2 links)
  57. Sustainable Management of Mediterranean Forest: Valencian Community Case‏‎ (2 links)
  58. PractiSFM multi-resource inventory and decision support for private forest owners‏‎ (2 links)
  59. RODAL-ARBOREX‏‎ (2 links)
  60. 3) version control and buck tracking system‏‎ (2 links)
  61. Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non‏‎ (2 links)
  62. GIS‏‎ (2 links)
  63. SCRUM/Agile‏‎ (2 links)
  64. Wolschart‏‎ (2 links)
  65. Institute of Silviculture‏‎ (2 links)
  66. BoLa a specific sDSS to support land use planning in Flanders‏‎ (2 links)
  67. FVS.Software‏‎ (2 links)
  68. SILVAH.Software‏‎ (2 links)
  69. Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company‏‎ (2 links)
  70. 4) iterative development since 2007 with permanent testing and user feed-back‏‎ (2 links)
  71. FIS‏‎ (2 links)
  72. To be filled‏‎ (2 links)
  73. GBNL‏‎ (2 links)
  74. Integrating wood quality considerations in landscape-level forest planning‏‎ (2 links)
  75. SIMfLOR‏‎ (2 links)
  76. 5) Used for regional planning‏‎ (2 links)
  77. LANDIS.Software‏‎ (2 links)
  78. Tobe filled‏‎ (2 links)
  79. HedeDanmark‏‎ (2 links)
  80. ESC.Software‏‎ (2 links)
  81. WDS.Software‏‎ (2 links)
  82. A comprehensive system for forest management planning in Trentino Province‏‎ (2 links)
  83. NED.Software‏‎ (2 links)
  84. 6) Version management and feed-back collection handled by the software enterprise PiSolution GmbH‏‎ (2 links)
  85. DSS Template‏‎ (2 links)
  86. ETCAP‏‎ (2 links)
  87. 7) now adaptation for land use planning in Western Africa‏‎ (2 links)
  88. Pri.For.Man DSS.Software‏‎ (2 links)
  89. User training individual to provide optimal mix of Apps‏‎ (2 links)
  90. Optimal.Software‏‎ (2 links)
  91. Forester GIS‏‎ (2 links)
  92. Bottom up approach in designing software architecture and features (OOP)‏‎ (2 links)
  93. ZEUS‏‎ (2 links)
  94. Template:Transclude‏‎ (2 links)
  95. ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region‏‎ (2 links)
  96. Capsis.Software‏‎ (2 links)
  97. Example DSS/SHRIMP‏‎ (2 links)
  98. SADfLOR web-based.Decision support techniques‏‎ (2 links)
  99. Developing a management plan for the CHAMUSCA county‏‎ (2 links)
  100. Coming soon...‏‎ (2 links)
  101. Allocation of slope protection measures‏‎ (2 links)
  102. ForMIS.Software‏‎ (2 links)
  103. SADfLOR v pp 1.0‏‎ (2 links)
  104. EcologicalSiteClassification.Software‏‎ (2 links)
  105. ---‏‎ (2 links)
  106. Gaya - SGIS‏‎ (2 links)
  107. Heureka.Knowledge management process‏‎ (2 links)
  108. Developing a collaborative management plan for the NIFP in Vale do Sousa‏‎ (2 links)
  109. Enterprise Architecture‏‎ (2 links)
  110. JOVOKEP‏‎ (2 links)
  111. MatrixGen.Software‏‎ (2 links)
  112. 1) user requirements analysis following Delphi approach‏‎ (2 links)
  113. PractiSFM.Software‏‎ (2 links)
  114. SADPOF.Software identification‏‎ (2 links)
  115. KUBIK.Software‏‎ (2 links)
  116. Cork‏‎ (2 links)
  117. GIS and ME‏‎ (2 links)
  118. ForestGales.Software‏‎ (2 links)
  119. 2) CA‏‎ (2 links)
  120. SADfLOR is a web-based tool having for this reason no software requirements.‏‎ (2 links)
  121. PrOFA‏‎ (2 links)
  122. TAKARNET‏‎ (2 links)
  123. The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable.Description of DSS development‏‎ (1 link)
  124. Eurac research - Fabio Pastorella‏‎ (1 link)
  125. Running the DSS required special skills, therefore the local planning team required considerable.Description of DSS development‏‎ (1 link)
  126. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Decision support techniques‏‎ (1 link)
  127. Decision process‏‎ (1 link)
  128. ATLAS‏‎ (1 link)
  129. Enlarged decision space.Knowledge management process‏‎ (1 link)
  130. Template:DSS description, Technological architecture, integration with other systems‏‎ (1 link)
  131. Students studying forest management planning procedures and processes were very useful ‘guinea pigs’.Support of social participation‏‎ (1 link)
  132. FVS.Knowledge management process‏‎ (1 link)
  133. Web-HIPRE was used for the AHP. Since then‏‎ (1 link)
  134. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Decision support techniques‏‎ (1 link)
  135. Pareto Frontier Techniques are useful for multi-criteria forest management planning.Support of social participation‏‎ (1 link)
  136. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Description of DSS development‏‎ (1 link)
  137. Luís I of Portugal‏‎ (1 link)
  138. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is.Support of social participation‏‎ (1 link)
  139. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company.Decision support techniques‏‎ (1 link)
  140. The ProgettoBosco working methodology, based on cooperation, successive approximations and.Knowledge management process‏‎ (1 link)
  141. VDDT-Path.Description of DSS development‏‎ (1 link)
  142. Population dynamics‏‎ (1 link)
  143. Provide procedures and structure for complete data flow.Description of DSS development‏‎ (1 link)
  144. The software did not provide much support for formatting of the outputs in a format that could be.Decision support techniques‏‎ (1 link)
  145. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Decision support techniques‏‎ (1 link)
  146. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Knowledge management process‏‎ (1 link)
  147. To compare the current and the past quantitative/qualitative parameters of the forest, great effort.Support of social participation‏‎ (1 link)
  148. MESTA.TATTI‏‎ (1 link)
  149. SiWaWa.Description of DSS development‏‎ (1 link)
  150. MultiCriteria Risk Analysis (MCRA)‏‎ (1 link)
  151. IFFIRES‏‎ (1 link)
  152. NED.Decision support techniques‏‎ (1 link)
  153. Unclear!‏‎ (1 link)
  154. Metsähallitus‏‎ (1 link)
  155. Otimização e Informática Ltda. ME‏‎ (1 link)
  156. António, Prior of Crato‏‎ (1 link)
  157. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley.Support of social participation‏‎ (1 link)
  158. Philip III of Spain‏‎ (1 link)
  159. United States-Watershed Condition Assessment for the Northwest Forest Plan.Knowledge management process‏‎ (1 link)
  160. Deadwood‏‎ (1 link)
  161. The analysis of the actor network interactions allowed to identify the criticalities to be solved in order to develop the collaborative process.Decision support techniques‏‎ (1 link)
  162. WDS.Support of social participation‏‎ (1 link)
  163. HSS‏‎ (1 link)
  164. The choice to develop the system in an Excel environment was based on the status of computer.Support of social participation‏‎ (1 link)
  165. Fox‏‎ (1 link)
  166. Requirement of specialized skills can discourage some potential users.Decision support techniques‏‎ (1 link)
  167. MPCOS‏‎ (1 link)
  168. The use of EMDS allowed the planning team to identify priority area for restoration treatments that.Knowledge management process‏‎ (1 link)
  169. LANDIS.Description of DSS development‏‎ (1 link)
  170. SIMFLOR.Description of DSS development‏‎ (1 link)
  171. Comparative analysis of multiple alternative management strategies‏‎ (1 link)
  172. DSS for planning of forest operations technology‏‎ (1 link)
  173. End user engagement throughout the development and deployment cycle is very important.Knowledge management process‏‎ (1 link)
  174. Template:DSS description, Data, data model and data management‏‎ (1 link)
  175. A more informative output should be generated with clear graphs and maps indicating long-term.Description of DSS development‏‎ (1 link)
  176. Stakeholder involvement in DSS design.Description of DSS development‏‎ (1 link)
  177. Question: Is important to guarantee that the models and methods selected fit best to the problem and the user's needs?‏‎ (1 link)
  178. Need of a moderator function.Knowledge management process‏‎ (1 link)
  179. Norwegian University of Life Sciences (UMB)‏‎ (1 link)
  180. Forest managers have to analyze how their forest management interventions effect the landscape.Decision support techniques‏‎ (1 link)
  181. GISCAME is made for either mulit-participant scenario design or - by use of the CA - for scenario design depending from integrative transition probabilities for which starting conditions‏‎ (1 link)
  182. House of Burgundy‏‎ (1 link)
  183. Getting joint funding from both the forest and environmental sectors can be a successfull for.Description of DSS development‏‎ (1 link)
  184. 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)
  185. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Decision support techniques‏‎ (1 link)
  186. Forest planning problem type Handbook‏‎ (1 link)
  187. NFD‏‎ (1 link)
  188. It was decided to develop a highly detailed system in order that it could be used in the most.Decision support techniques‏‎ (1 link)
  189. The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable.Knowledge management process‏‎ (1 link)
  190. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Decision support techniques‏‎ (1 link)
  191. Running the DSS required special skills, therefore the local planning team required considerable.Knowledge management process‏‎ (1 link)
  192. DSS allowed to explain better some technical concepts to non-professional stakeholders.Decision support techniques‏‎ (1 link)
  193. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Description of DSS development‏‎ (1 link)
  194. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Decision support techniques‏‎ (1 link)
  195. Any‏‎ (1 link)
  196. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Decision support techniques‏‎ (1 link)
  197. Enlarged decision space.Support of social participation‏‎ (1 link)
  198. Template:DSS description, User interface and outputs‏‎ (1 link)
  199. Afforestion and deforestation options should be included in the management options.Decision support techniques‏‎ (1 link)
  200. O+BN‏‎ (1 link)
  201. Dummypage‏‎ (1 link)
  202. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Description of DSS development‏‎ (1 link)
  203. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Decision support techniques‏‎ (1 link)
  204. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Knowledge management process‏‎ (1 link)
  205. Manuel II of Portugal‏‎ (1 link)
  206. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Decision support techniques‏‎ (1 link)
  207. Growth and Yield models are a key component of forest DSS.Decision support techniques‏‎ (1 link)
  208. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company.Description of DSS development‏‎ (1 link)
  209. The ProgettoBosco working methodology, based on cooperation, successive approximations and.Support of social participation‏‎ (1 link)
  210. Supports creation of planning scenarios‏‎ (1 link)
  211. Forest Research‏‎ (1 link)
  212. Provide procedures and structure for complete data flow.Knowledge management process‏‎ (1 link)
  213. The software did not provide much support for formatting of the outputs in a format that could be.Description of DSS development‏‎ (1 link)
  214. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Description of DSS development‏‎ (1 link)
  215. SIGFOR.Decision support techniques‏‎ (1 link)
  216. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Support of social participation‏‎ (1 link)
  217. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Decision support techniques‏‎ (1 link)
  218. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Decision support techniques‏‎ (1 link)
  219. Test1‏‎ (1 link)
  220. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Decision support techniques‏‎ (1 link)
  221. Http://www.skogforsk.se/‏‎ (1 link)
  222. NED.Description of DSS development‏‎ (1 link)
  223. LandSim‏‎ (1 link)
  224. MESTA‏‎ (1 link)
  225. Operational aspects of the system should be enhanced.Decision support techniques‏‎ (1 link)
  226. As the core of forest DSS are models describing the development of trees and stands (growth and.Decision support techniques‏‎ (1 link)
  227. Beatrice of Portugal‏‎ (1 link)
  228. Regional planning authority‏‎ (1 link)
  229. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Decision support techniques‏‎ (1 link)
  230. Philip II of Spain‏‎ (1 link)
  231. United States-Watershed Condition Assessment for the Northwest Forest Plan.Support of social participation‏‎ (1 link)
  232. Recreation‏‎ (1 link)
  233. Deer‏‎ (1 link)
  234. The analysis of the actor network interactions allowed to identify the criticalities to be solved in order to develop the collaborative process.Description of DSS development‏‎ (1 link)
  235. FORSYS Description‏‎ (1 link)
  236. CRMS-FEL‏‎ (1 link)
  237. The definition of standardized and specific criteria for selecting and zoning forest compartment.Decision support techniques‏‎ (1 link)
  238. YAFO.Knowledge management process‏‎ (1 link)
  239. It would have been better to involve some end users at earlier stages of the system development.Decision support techniques‏‎ (1 link)
  240. Requirement of specialized skills can discourage some potential users.Description of DSS development‏‎ (1 link)
  241. OPTICORT‏‎ (1 link)
  242. The use of EMDS allowed the planning team to identify priority area for restoration treatments that.Support of social participation‏‎ (1 link)
  243. LANDIS.Knowledge management process‏‎ (1 link)
  244. SIMFLOR.Knowledge management process‏‎ (1 link)
  245. Institute of Mathematical Problems in Biology RAS‏‎ (1 link)
  246. End user engagement throughout the development and deployment cycle is very important.Support of social participation‏‎ (1 link)
  247. Template:DSS description, Documentation‏‎ (1 link)
  248. A more informative output should be generated with clear graphs and maps indicating long-term.Knowledge management process‏‎ (1 link)
  249. Stakeholder involvement in DSS design.Knowledge management process‏‎ (1 link)
  250. Question: Is it important to define the responsibilities and ownership for the DSS development process?‏‎ (1 link)
  251. Need of a moderator function.Support of social participation‏‎ (1 link)
  252. UMB‏‎ (1 link)
  253. Forest managers have to analyze how their forest management interventions effect the landscape.Description of DSS development‏‎ (1 link)
  254. Other discrete MDCM‏‎ (1 link)
  255. Wildalpen/KATER II‏‎ (1 link)
  256. House of Habsburg‏‎ (1 link)
  257. Getting joint funding from both the forest and environmental sectors can be a successfull for.Knowledge management process‏‎ (1 link)
  258. Portugal-Integrating an ecosystem model into SADfLOR Decision Support platform for optimal forest management planning under changing climate in boreal conditions..Support of social participation‏‎ (1 link)
  259. University of Natural Resources and Life Sciences Vienna‏‎ (1 link)
  260. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Description of DSS development‏‎ (1 link)
  261. Lesson Handbook‏‎ (1 link)
  262. MEPAR‏‎ (1 link)
  263. It was decided to develop a highly detailed system in order that it could be used in the most.Description of DSS development‏‎ (1 link)
  264. Dss development process‏‎ (1 link)
  265. The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable.Support of social participation‏‎ (1 link)
  266. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Description of DSS development‏‎ (1 link)
  267. Running the DSS required special skills, therefore the local planning team required considerable.Support of social participation‏‎ (1 link)
  268. DSS allowed to explain better some technical concepts to non-professional stakeholders.Description of DSS development‏‎ (1 link)
  269. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Knowledge management process‏‎ (1 link)
  270. Finnish Forest Research Institute‏‎ (1 link)
  271. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Description of DSS development‏‎ (1 link)
  272. Herbicide advisor‏‎ (1 link)
  273. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Description of DSS development‏‎ (1 link)
  274. Forest register‏‎ (1 link)
  275. Game management‏‎ (1 link)
  276. Afforestion and deforestation options should be included in the management options.Description of DSS development‏‎ (1 link)
  277. Sweden-The development and introduction of versatile DSS in Sweden.Decision support techniques‏‎ (1 link)
  278. FVS.Support of social participation‏‎ (1 link)
  279. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Decision support techniques‏‎ (1 link)
  280. Plenty‏‎ (1 link)
  281. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Knowledge management process‏‎ (1 link)
  282. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Description of DSS development‏‎ (1 link)
  283. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Support of social participation‏‎ (1 link)
  284. Manuel I of Portugal‏‎ (1 link)
  285. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Description of DSS development‏‎ (1 link)
  286. Growth and Yield models are a key component of forest DSS.Description of DSS development‏‎ (1 link)
  287. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company.Knowledge management process‏‎ (1 link)
  288. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Decision support techniques‏‎ (1 link)
  289. Mule deer (Odocoileus hemionus)‏‎ (1 link)
  290. Provide procedures and structure for complete data flow.Support of social participation‏‎ (1 link)
  291. The software did not provide much support for formatting of the outputs in a format that could be.Knowledge management process‏‎ (1 link)
  292. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Knowledge management process‏‎ (1 link)
  293. SIGFOR.Description of DSS development‏‎ (1 link)
  294. SOK‏‎ (1 link)
  295. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Description of DSS development‏‎ (1 link)
  296. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Description of DSS development‏‎ (1 link)
  297. TreeSoftware‏‎ (1 link)
  298. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Description of DSS development‏‎ (1 link)
  299. Model building was rapid, it was assembling the data that took by far the most time.Description of DSS development‏‎ (1 link)
  300. Spatial variation between regions led to the development of different regional models, which led to.Decision support techniques‏‎ (1 link)
  301. SkogForsk‏‎ (1 link)
  302. NED.Knowledge management process‏‎ (1 link)
  303. VägRust‏‎ (1 link)
  304. MONSU‏‎ (1 link)
  305. Operational aspects of the system should be enhanced.Description of DSS development‏‎ (1 link)
  306. As the core of forest DSS are models describing the development of trees and stands (growth and.Description of DSS development‏‎ (1 link)
  307. Carlos I of Portugal‏‎ (1 link)
  308. University of Bonn‏‎ (1 link)
  309. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Description of DSS development‏‎ (1 link)
  310. Data mining‏‎ (1 link)
  311. Philip IV of Spain‏‎ (1 link)
  312. Use of adequate DSS development methodology.Decision support techniques‏‎ (1 link)
  313. SLU‏‎ (1 link)
  314. Landscape value‏‎ (1 link)
  315. The analysis of the actor network interactions allowed to identify the criticalities to be solved in order to develop the collaborative process.Knowledge management process‏‎ (1 link)
  316. Spatial assignment of ecosystem services‏‎ (1 link)
  317. Windthrow risk model‏‎ (1 link)
  318. The definition of standardized and specific criteria for selecting and zoning forest compartment.Description of DSS development‏‎ (1 link)
  319. Risk model‏‎ (1 link)
  320. It would have been better to involve some end users at earlier stages of the system development.Description of DSS development‏‎ (1 link)
  321. Requirement of specialized skills can discourage some potential users.Knowledge management process‏‎ (1 link)
  322. Planex‏‎ (1 link)
  323. The use of structured output (maps, tables and charts) makes the methodology and the results more.Decision support techniques‏‎ (1 link)
  324. SIMFLOR.Support of social participation‏‎ (1 link)
  325. Institute of Physico-Chemical and Biological Problems in Soil Science RAS‏‎ (1 link)
  326. GIS model for predicting salvage cut‏‎ (1 link)
  327. STANDPAK‏‎ (1 link)
  328. Template:DSS description, Installation and support‏‎ (1 link)
  329. A more informative output should be generated with clear graphs and maps indicating long-term.Support of social participation‏‎ (1 link)
  330. Stakeholder involvement in DSS design.Support of social participation‏‎ (1 link)
  331. Question: Is it important to facilitate a process for the problem definition before starting design and programming?‏‎ (1 link)
  332. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Decision support techniques‏‎ (1 link)
  333. Forest managers have to analyze how their forest management interventions effect the landscape.Knowledge management process‏‎ (1 link)
  334. Proximities‏‎ (1 link)
  335. Tosia‏‎ (1 link)
  336. John III of Portugal‏‎ (1 link)
  337. Getting joint funding from both the forest and environmental sectors can be a successfull for.Support of social participation‏‎ (1 link)
  338. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Decision support techniques‏‎ (1 link)
  339. Patchworks-TM‏‎ (1 link)
  340. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Knowledge management process‏‎ (1 link)
  341. Users preferred enhanced functionality rather than useability.Decision support techniques‏‎ (1 link)
  342. CASMOFOR‏‎ (1 link)
  343. It was decided to develop a highly detailed system in order that it could be used in the most.Knowledge management process‏‎ (1 link)
  344. Dss development process, Knowledge management‏‎ (1 link)
  345. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Decision support techniques‏‎ (1 link)
  346. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Knowledge management process‏‎ (1 link)
  347. DSS allowed to explain better some technical concepts to non-professional stakeholders.Knowledge management process‏‎ (1 link)
  348. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Support of social participation‏‎ (1 link)
  349. Bilberry‏‎ (1 link)
  350. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Knowledge management process‏‎ (1 link)
  351. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Knowledge management process‏‎ (1 link)
  352. FBVM‏‎ (1 link)
  353. Joen Forest Program Consulting‏‎ (1 link)
  354. Afforestion and deforestation options should be included in the management options.Knowledge management process‏‎ (1 link)
  355. Sweden-The development and introduction of versatile DSS in Sweden.Description of DSS development‏‎ (1 link)
  356. Finland-Integrating wood quality considerations in landscape-level forest planning.Decision support techniques‏‎ (1 link)
  357. New Zealand-Modular Forest Management DSS in NZ.Decision support techniques‏‎ (1 link)
  358. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Description of DSS development‏‎ (1 link)
  359. What-if‏‎ (1 link)
  360. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Support of social participation‏‎ (1 link)
  361. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Knowledge management process‏‎ (1 link)
  362. Maria II of Portugal‏‎ (1 link)
  363. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Knowledge management process‏‎ (1 link)
  364. Growth and Yield models are a key component of forest DSS.Knowledge management process‏‎ (1 link)
  365. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company.Support of social participation‏‎ (1 link)
  366. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Description of DSS development‏‎ (1 link)
  367. Still unknown‏‎ (1 link)
  368. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners.Decision support techniques‏‎ (1 link)
  369. Providing procedures and structure for data flow from selection of field sample, performing field.Decision support techniques‏‎ (1 link)
  370. The software did not provide much support for formatting of the outputs in a format that could be.Support of social participation‏‎ (1 link)
  371. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Support of social participation‏‎ (1 link)
  372. SIGFOR.Knowledge management process‏‎ (1 link)
  373. Despite the widely use and acceptance of the DSS there was still a lack of expertise to.Decision support techniques‏‎ (1 link)
  374. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Knowledge management process‏‎ (1 link)
  375. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Knowledge management process‏‎ (1 link)
  376. 3222–3240)‏‎ (1 link)
  377. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Knowledge management process‏‎ (1 link)
  378. Model building was rapid, it was assembling the data that took by far the most time.Knowledge management process‏‎ (1 link)
  379. Spatial variation between regions led to the development of different regional models, which led to.Description of DSS development‏‎ (1 link)
  380. Università della Tuscia - Italy‏‎ (1 link)
  381. Heureka PlanWise‏‎ (1 link)
  382. HERO‏‎ (1 link)
  383. Operational aspects of the system should be enhanced.Knowledge management process‏‎ (1 link)
  384. As the core of forest DSS are models describing the development of trees and stands (growth and.Knowledge management process‏‎ (1 link)
  385. Denis of Portugal‏‎ (1 link)
  386. University of Dresden‏‎ (1 link)
  387. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Knowledge management process‏‎ (1 link)
  388. Sancho II of Portugal‏‎ (1 link)
  389. Use of adequate DSS development methodology.Description of DSS development‏‎ (1 link)
  390. Supports Multi Criteria Decision Making (MCDA by AHP and SMART)‏‎ (1 link)
  391. Detail‏‎ (1 link)
  392. The analysis of the actor network interactions allowed to identify the criticalities to be solved in order to develop the collaborative process.Support of social participation‏‎ (1 link)
  393. WebCorky.Decision support techniques‏‎ (1 link)
  394. It is necessary to know which data will be use as variables in the models before designing the DSS.Decision support techniques‏‎ (1 link)
  395. The definition of standardized and specific criteria for selecting and zoning forest compartment.Knowledge management process‏‎ (1 link)
  396. Timber price model‏‎ (1 link)
  397. It would have been better to involve some end users at earlier stages of the system development.Knowledge management process‏‎ (1 link)
  398. Requirement of specialized skills can discourage some potential users.Support of social participation‏‎ (1 link)
  399. FMS 2.5‏‎ (1 link)
  400. The use of structured output (maps, tables and charts) makes the methodology and the results more.Description of DSS development‏‎ (1 link)
  401. LANDIS.Support of social participation‏‎ (1 link)
  402. SIMO.mustikka‏‎ (1 link)
  403. Research institution‏‎ (1 link)
  404. DSS for forest road network extension‏‎ (1 link)
  405. Enlarge the decision space by generating a large set of potential management alternatives.Decision support techniques‏‎ (1 link)
  406. Template:DSS description, Models and methods, MBMS, decision support techniques‏‎ (1 link)
  407. Stakeholders contribution in ranking forest functions.Decision support techniques‏‎ (1 link)
  408. Question: Is it important to organize an efficient communication and coordination among the team members?‏‎ (1 link)
  409. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Description of DSS development‏‎ (1 link)
  410. Forest managers have to analyze how their forest management interventions effect the landscape.Support of social participation‏‎ (1 link)
  411. PiSolution GmbH‏‎ (1 link)
  412. WWG Manager‏‎ (1 link)
  413. John II of Portugal‏‎ (1 link)
  414. FIREMAN‏‎ (1 link)
  415. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Description of DSS development‏‎ (1 link)
  416. Capsis.Decision support techniques‏‎ (1 link)
  417. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Support of social participation‏‎ (1 link)
  418. Users preferred enhanced functionality rather than useability.Description of DSS development‏‎ (1 link)
  419. EUIR‏‎ (1 link)
  420. It was decided to develop a highly detailed system in order that it could be used in the most.Support of social participation‏‎ (1 link)
  421. Dss development process, Models & techniques‏‎ (1 link)
  422. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Description of DSS development‏‎ (1 link)
  423. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Support of social participation‏‎ (1 link)
  424. Voronov 2010‏‎ (1 link)
  425. DSS allowed to explain better some technical concepts to non-professional stakeholders.Support of social participation‏‎ (1 link)
  426. The very easy user-friendly interface of the software and the clearness of method can be exploited.Decision support techniques‏‎ (1 link)
  427. Cowberry‏‎ (1 link)
  428. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Support of social participation‏‎ (1 link)
  429. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Support of social participation‏‎ (1 link)
  430. EELIS‏‎ (1 link)
  431. Mind mapping‏‎ (1 link)
  432. Afforestion and deforestation options should be included in the management options.Support of social participation‏‎ (1 link)
  433. Sweden-The development and introduction of versatile DSS in Sweden.Knowledge management process‏‎ (1 link)
  434. Finland-Integrating wood quality considerations in landscape-level forest planning.Description of DSS development‏‎ (1 link)
  435. New Zealand-Modular Forest Management DSS in NZ.Description of DSS development‏‎ (1 link)
  436. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Knowledge management process‏‎ (1 link)
  437. Some‏‎ (1 link)
  438. Landwirtschaft‏‎ (1 link)
  439. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Support of social participation‏‎ (1 link)
  440. Brazil: Short rotation eucalyptus pulp wood plantations.Decision support techniques‏‎ (1 link)
  441. Maria I of Portugal‏‎ (1 link)
  442. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Support of social participation‏‎ (1 link)
  443. Growth and Yield models are a key component of forest DSS.Support of social participation‏‎ (1 link)
  444. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Knowledge management process‏‎ (1 link)
  445. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Decision support techniques‏‎ (1 link)
  446. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners.Description of DSS development‏‎ (1 link)
  447. Providing procedures and structure for data flow from selection of field sample, performing field.Description of DSS development‏‎ (1 link)
  448. Involvement‏‎ (1 link)
  449. ManForFirE‏‎ (1 link)
  450. SIGFOR.Support of social participation‏‎ (1 link)
  451. Despite the widely use and acceptance of the DSS there was still a lack of expertise to.Description of DSS development‏‎ (1 link)
  452. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Support of social participation‏‎ (1 link)
  453. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Support of social participation‏‎ (1 link)
  454. 5‏‎ (1 link)
  455. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Support of social participation‏‎ (1 link)
  456. Model building was rapid, it was assembling the data that took by far the most time.Support of social participation‏‎ (1 link)
  457. A financial analysis is an important component in the discussion about the preferences of different.Decision support techniques‏‎ (1 link)
  458. Spatial variation between regions led to the development of different regional models, which led to.Knowledge management process‏‎ (1 link)
  459. Università della Tuscia - Università del Molise‏‎ (1 link)
  460. NED.Support of social participation‏‎ (1 link)
  461. ProdMod‏‎ (1 link)
  462. Unnamed MCDS application‏‎ (1 link)
  463. Operational aspects of the system should be enhanced.Support of social participation‏‎ (1 link)
  464. As the core of forest DSS are models describing the development of trees and stands (growth and.Support of social participation‏‎ (1 link)
  465. Edward of Portugal‏‎ (1 link)
  466. DSS-WUK‏‎ (1 link)
  467. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Support of social participation‏‎ (1 link)
  468. Sancho I of Portugal‏‎ (1 link)
  469. Use of adequate DSS development methodology.Knowledge management process‏‎ (1 link)
  470. Will be further developed include participatory planning‏‎ (1 link)
  471. The analysis team used internal prototyping, which helped train the staff and identify possible.Decision support techniques‏‎ (1 link)
  472. WebCorky.Description of DSS development‏‎ (1 link)
  473. It is necessary to know which data will be use as variables in the models before designing the DSS.Description of DSS development‏‎ (1 link)
  474. The definition of standardized and specific criteria for selecting and zoning forest compartment.Support of social participation‏‎ (1 link)
  475. Institute of Forest Management‏‎ (1 link)
  476. It would have been better to involve some end users at earlier stages of the system development.Support of social participation‏‎ (1 link)
  477. Results are always strongly dependent on the quality of the underlying data.Decision support techniques‏‎ (1 link)
  478. HPS 2.5‏‎ (1 link)
  479. The use of structured output (maps, tables and charts) makes the methodology and the results more.Knowledge management process‏‎ (1 link)
  480. CRA-MPF - Trento - Italy‏‎ (1 link)
  481. SIMO.puolukka‏‎ (1 link)
  482. FORPLAN‏‎ (1 link)
  483. Enlarge the decision space by generating a large set of potential management alternatives.Description of DSS development‏‎ (1 link)
  484. Template:DSS description, Name, responsible organisation and contact person‏‎ (1 link)
  485. Ongoing development‏‎ (1 link)
  486. Stakeholders contribution in ranking forest functions.Description of DSS development‏‎ (1 link)
  487. Question: Is it relevant to consider an adequate programming environment and programming tools for the implementation?‏‎ (1 link)
  488. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Knowledge management process‏‎ (1 link)
  489. AHP has been implemented in the Heureka PlanEval application.‏‎ (1 link)
  490. From a management perspective, to avoid the complication of testing something new, the models used.Decision support techniques‏‎ (1 link)
  491. Some automatical features (help) are yet included‏‎ (1 link)
  492. Belgium-BoLa a specific sDSS to support land use planning in Flanders.Decision support techniques‏‎ (1 link)
  493. John IV of Portugal‏‎ (1 link)
  494. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Knowledge management process‏‎ (1 link)
  495. Capsis.Description of DSS development‏‎ (1 link)
  496. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Decision support techniques‏‎ (1 link)
  497. Users preferred enhanced functionality rather than useability.Knowledge management process‏‎ (1 link)
  498. EVH‏‎ (1 link)
  499. Application of the DSS‏‎ (1 link)
  500. Dss development process, Participation‏‎ (1 link)

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