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Showing below up to 500 results in range #1 to #500.

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  1. Type:String‏‎ (191 links)
  2. Type:Page‏‎ (49 links)
  3. Type:Number‏‎ (28 links)
  4. Type:Text‏‎ (24 links)
  5. Transfer‏‎ (22 links)
  6. TestDSS‏‎ (19 links)
  7. None‏‎ (19 links)
  8. Non-computerized DSS‏‎ (16 links)
  9. Application‏‎ (15 links)
  10. Generation‏‎ (13 links)
  11. Type:Boolean‏‎ (12 links)
  12. Interface‏‎ (12 links)
  13. Capabilities‏‎ (11 links)
  14. DSS‏‎ (10 links)
  15. Problem specification‏‎ (10 links)
  16. Projmgt‏‎ (10 links)
  17. Utilities‏‎ (10 links)
  18. Basic structure‏‎ (10 links)
  19. Identification‏‎ (10 links)
  20. Forest fire‏‎ (9 links)
  21. Evaluation‏‎ (9 links)
  22. Woodstock + Stanley‏‎ (8 links)
  23. Learning‏‎ (8 links)
  24. SILVANET‏‎ (8 links)
  25. Students studying forest management planning procedures and processes were very useful ‘guinea pigs’‏‎ (7 links)
  26. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.‏‎ (7 links)
  27. Fuzzy logic‏‎ (7 links)
  28. Type:URL‏‎ (7 links)
  29. Habitat suitability‏‎ (7 links)
  30. Provide missing help/documentation service‏‎ (7 links)
  31. Storage‏‎ (6 links)
  32. Need of flexibilization of analytical tools - no "overdesigned" tool that provides too much features for the use‏‎ (6 links)
  33. Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley‏‎ (6 links)
  34. Problem formulation‏‎ (6 links)
  35. Resources‏‎ (6 links)
  36. Communication‏‎ (6 links)
  37. Type:Date‏‎ (6 links)
  38. Documentation‏‎ (6 links)
  39. Structure process‏‎ (6 links)
  40. Haloaclontologybundle‏‎ (6 links)
  41. Carbon sequestration‏‎ (6 links)
  42. Input data‏‎ (5 links)
  43. To compare the current and the past quantitative/qualitative parameters of the forest, great effort‏‎ (5 links)
  44. Not prescriptive‏‎ (5 links)
  45. Sensivity analysis‏‎ (5 links)
  46. Unnamed Knowledge based DSS‏‎ (5 links)
  47. Early involvement‏‎ (5 links)
  48. Carbon and nitrogen flows‏‎ (5 links)
  49. StandSIMOPT‏‎ (4 links)
  50. T2‏‎ (4 links)
  51. Simosol‏‎ (4 links)
  52. The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest‏‎ (4 links)
  53. ‏‎ (4 links)
  54. STANDPACK‏‎ (4 links)
  55. VDDT‏‎ (4 links)
  56. KU Leuven‏‎ (4 links)
  57. Effects of data quality‏‎ (4 links)
  58. Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company‏‎ (4 links)
  59. Electronic spreadsheets‏‎ (4 links)
  60. Effects of models‏‎ (4 links)
  61. Biodiversity‏‎ (4 links)
  62. Germany:Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (4 links)
  63. Conservation value‏‎ (4 links)
  64. DSS development‏‎ (3 links)
  65. Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (3 links)
  66. Syunev 2004‏‎ (3 links)
  67. An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change‏‎ (3 links)
  68. Norwegian University of Life Sciences‏‎ (3 links)
  69. The development and introduction of versatile DSS in Sweden‏‎ (3 links)
  70. Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites‏‎ (3 links)
  71. Graphics‏‎ (3 links)
  72. The forest plan revision process in the Okanogan Wenatchee National Forest‏‎ (3 links)
  73. UML‏‎ (3 links)
  74. Centro de Estudos Florestais‏‎ (3 links)
  75. T4‏‎ (3 links)
  76. Boise-Payette-Sawtooth National Forest Plan‏‎ (3 links)
  77. Intelligent agent‏‎ (3 links)
  78. The history of a successfull forest DSS in Sweden‏‎ (3 links)
  79. Instituto Superior de Agronomia‏‎ (3 links)
  80. Improving forestry extension services for small-scale private landowners‏‎ (3 links)
  81. AS‏‎ (3 links)
  82. Integrating an ecosystem model into SADfLOR Decision Support platform for optimal forest management planning under changing climate in boreal conditions.‏‎ (3 links)
  83. Watershed Condition Assessment for the Northwest Forest Plan‏‎ (3 links)
  84. /sandbox‏‎ (3 links)
  85. Mushrooms‏‎ (3 links)
  86. USDA Forest Service‏‎ (3 links)
  87. Modular Forest Management DSS in NZ‏‎ (3 links)
  88. Type:Email‏‎ (3 links)
  89. SOSKLIMA‏‎ (3 links)
  90. Form:Case study‏‎ (3 links)
  91. /testcases‏‎ (3 links)
  92. Participative modelling of long-term wood production in the forest complex ‘Bosland’‏‎ (3 links)
  93. SAPPI FMS‏‎ (3 links)
  94. Institutionalization‏‎ (3 links)
  95. SIMANFOR‏‎ (3 links)
  96. Template:Documentation/docname‏‎ (3 links)
  97. Universidade Técnica de Lisboa.‏‎ (3 links)
  98. Template:Pp-meta‏‎ (3 links)
  99. Supporting a multi stakeholders decision process in a Portuguese National Forest‏‎ (3 links)
  100. What-if analysis‏‎ (3 links)
  101. Belgium-Participative modelling of long-term wood production in the forest complex Bosland‏‎ (3 links)
  102. A Decision Support System for eucalypt forest management under climate change scenarios‏‎ (3 links)
  103. SCRUM/Agile‏‎ (2 links)
  104. Wolschart‏‎ (2 links)
  105. GBNL‏‎ (2 links)
  106. Institute of Silviculture‏‎ (2 links)
  107. SIMfLOR‏‎ (2 links)
  108. FVS.Software‏‎ (2 links)
  109. 4) iterative development since 2007 with permanent testing and user feed-back‏‎ (2 links)
  110. HedeDanmark‏‎ (2 links)
  111. US Department of Agriculture - Forest Service‏‎ (2 links)
  112. Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company‏‎ (2 links)
  113. To be filled‏‎ (2 links)
  114. WDS.Software‏‎ (2 links)
  115. NED.Software‏‎ (2 links)
  116. Integrating wood quality considerations in landscape-level forest planning‏‎ (2 links)
  117. 5) Used for regional planning‏‎ (2 links)
  118. DSS Template‏‎ (2 links)
  119. LANDIS.Software‏‎ (2 links)
  120. Tobe filled‏‎ (2 links)
  121. ESC.Software‏‎ (2 links)
  122. Pri.For.Man DSS.Software‏‎ (2 links)
  123. A comprehensive system for forest management planning in Trentino Province‏‎ (2 links)
  124. 6) Version management and feed-back collection handled by the software enterprise PiSolution GmbH‏‎ (2 links)
  125. ETCAP‏‎ (2 links)
  126. Optimal.Software‏‎ (2 links)
  127. 7) now adaptation for land use planning in Western Africa‏‎ (2 links)
  128. User training individual to provide optimal mix of Apps‏‎ (2 links)
  129. Template:Transclude‏‎ (2 links)
  130. ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region‏‎ (2 links)
  131. SADfLOR web-based.Decision support techniques‏‎ (2 links)
  132. Allocation of slope protection measures‏‎ (2 links)
  133. Bottom up approach in designing software architecture and features (OOP)‏‎ (2 links)
  134. ZEUS‏‎ (2 links)
  135. Gaya - SGIS‏‎ (2 links)
  136. Capsis.Software‏‎ (2 links)
  137. Example DSS/SHRIMP‏‎ (2 links)
  138. Forester GIS‏‎ (2 links)
  139. Developing a management plan for the CHAMUSCA county‏‎ (2 links)
  140. Coming soon...‏‎ (2 links)
  141. ForMIS.Software‏‎ (2 links)
  142. SADPOF.Software identification‏‎ (2 links)
  143. SADfLOR v pp 1.0‏‎ (2 links)
  144. PractiSFM.Software‏‎ (2 links)
  145. EcologicalSiteClassification.Software‏‎ (2 links)
  146. Cork‏‎ (2 links)
  147. ---‏‎ (2 links)
  148. Heureka.Knowledge management process‏‎ (2 links)
  149. Developing a collaborative management plan for the NIFP in Vale do Sousa‏‎ (2 links)
  150. Enterprise Architecture‏‎ (2 links)
  151. JOVOKEP‏‎ (2 links)
  152. SADfLOR is a web-based tool having for this reason no software requirements.‏‎ (2 links)
  153. MatrixGen.Software‏‎ (2 links)
  154. 1) user requirements analysis following Delphi approach‏‎ (2 links)
  155. KUBIK.Software‏‎ (2 links)
  156. GIS and ME‏‎ (2 links)
  157. ForestGales.Software‏‎ (2 links)
  158. System requirement and design‏‎ (2 links)
  159. SIGFOR.Software‏‎ (2 links)
  160. PractiSFM multi-resource inventory and decision support for private forest owners‏‎ (2 links)
  161. RODAL-ARBOREX‏‎ (2 links)
  162. 2) CA‏‎ (2 links)
  163. PrOFA‏‎ (2 links)
  164. BoLa a specific sDSS to support land use planning in Flanders‏‎ (2 links)
  165. TAKARNET‏‎ (2 links)
  166. SILVAH.Software‏‎ (2 links)
  167. MAPSS.Software‏‎ (2 links)
  168. 3) version control and buck tracking system‏‎ (2 links)
  169. FIS‏‎ (2 links)
  170. Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non‏‎ (2 links)
  171. GIS‏‎ (2 links)
  172. Sustainable Management of Mediterranean Forest: Valencian Community Case‏‎ (2 links)
  173. Provide procedures and structure for complete data flow.Support of social participation‏‎ (1 link)
  174. LANDIS.Description of DSS development‏‎ (1 link)
  175. WDS.Knowledge management process‏‎ (1 link)
  176. Comparative analysis of multiple alternative management strategies‏‎ (1 link)
  177. The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable.Support of social participation‏‎ (1 link)
  178. Running the DSS required special skills, therefore the local planning team required considerable.Support of social participation‏‎ (1 link)
  179. Has related country study‏‎ (1 link)
  180. End user engagement throughout the development and deployment cycle is very important.Knowledge management process‏‎ (1 link)
  181. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Knowledge management process‏‎ (1 link)
  182. A more informative output should be generated with clear graphs and maps indicating long-term.Description of DSS development‏‎ (1 link)
  183. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Description of DSS development‏‎ (1 link)
  184. Question: Is important to guarantee that the models and methods selected fit best to the problem and the user's needs?‏‎ (1 link)
  185. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Description of DSS development‏‎ (1 link)
  186. Game management‏‎ (1 link)
  187. Forest managers have to analyze how their forest management interventions effect the landscape.Decision support techniques‏‎ (1 link)
  188. Sweden-The development and introduction of versatile DSS in Sweden.Decision support techniques‏‎ (1 link)
  189. Getting joint funding from both the forest and environmental sectors can be a successfull for.Description of DSS development‏‎ (1 link)
  190. Plenty‏‎ (1 link)
  191. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Description of DSS development‏‎ (1 link)
  192. NFD‏‎ (1 link)
  193. Manuel I of Portugal‏‎ (1 link)
  194. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company.Knowledge management process‏‎ (1 link)
  195. United States-Watershed Condition Assessment for the Northwest Forest Plan.Description of DSS development‏‎ (1 link)
  196. MPCOS‏‎ (1 link)
  197. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Decision support techniques‏‎ (1 link)
  198. DSS allowed to explain better some technical concepts to non-professional stakeholders.Decision support techniques‏‎ (1 link)
  199. 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)
  200. Fast‏‎ (1 link)
  201. Any‏‎ (1 link)
  202. The software did not provide much support for formatting of the outputs in a format that could be.Knowledge management process‏‎ (1 link)
  203. SIGFOR.Description of DSS development‏‎ (1 link)
  204. Enlarged decision space.Support of social participation‏‎ (1 link)
  205. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Description of DSS development‏‎ (1 link)
  206. Afforestion and deforestation options should be included in the management options.Decision support techniques‏‎ (1 link)
  207. TreeSoftware‏‎ (1 link)
  208. Model building was rapid, it was assembling the data that took by far the most time.Description of DSS development‏‎ (1 link)
  209. Spatial variation between regions led to the development of different regional models, which led to.Decision support techniques‏‎ (1 link)
  210. NED.Knowledge management process‏‎ (1 link)
  211. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Description of DSS development‏‎ (1 link)
  212. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Knowledge management process‏‎ (1 link)
  213. VägRust‏‎ (1 link)
  214. Operational aspects of the system should be enhanced.Description of DSS development‏‎ (1 link)
  215. Growth and Yield models are a key component of forest DSS.Decision support techniques‏‎ (1 link)
  216. Carlos I of Portugal‏‎ (1 link)
  217. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Description of DSS development‏‎ (1 link)
  218. Forest Research‏‎ (1 link)
  219. Philip IV of Spain‏‎ (1 link)
  220. Landscape value‏‎ (1 link)
  221. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Decision support techniques‏‎ (1 link)
  222. Case Handbook‏‎ (1 link)
  223. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Description of DSS development‏‎ (1 link)
  224. VDDT-Path.Description of DSS development‏‎ (1 link)
  225. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Support of social participation‏‎ (1 link)
  226. The definition of standardized and specific criteria for selecting and zoning forest compartment.Description of DSS development‏‎ (1 link)
  227. Requirement of specialized skills can discourage some potential users.Knowledge management process‏‎ (1 link)
  228. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Decision support techniques‏‎ (1 link)
  229. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Decision support techniques‏‎ (1 link)
  230. The use of structured output (maps, tables and charts) makes the methodology and the results more.Decision support techniques‏‎ (1 link)
  231. SIMFLOR.Support of social participation‏‎ (1 link)
  232. Http://www.skogforsk.se/‏‎ (1 link)
  233. GIS model for predicting salvage cut‏‎ (1 link)
  234. Template:DSS description, Installation and support‏‎ (1 link)
  235. MESTA‏‎ (1 link)
  236. As the core of forest DSS are models describing the development of trees and stands (growth and.Decision support techniques‏‎ (1 link)
  237. Stakeholder involvement in DSS design.Support of social participation‏‎ (1 link)
  238. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Decision support techniques‏‎ (1 link)
  239. Regional planning authority‏‎ (1 link)
  240. Proximities‏‎ (1 link)
  241. Recreation‏‎ (1 link)
  242. John III of Portugal‏‎ (1 link)
  243. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Decision support techniques‏‎ (1 link)
  244. CRMS-FEL‏‎ (1 link)
  245. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Knowledge management process‏‎ (1 link)
  246. It was decided to develop a highly detailed system in order that it could be used in the most.Knowledge management process‏‎ (1 link)
  247. Providing procedures and structure for data flow from selection of field sample, performing field.Decision support techniques‏‎ (1 link)
  248. LANDIS.Knowledge management process‏‎ (1 link)
  249. WDS.Support of social participation‏‎ (1 link)
  250. Institute of Mathematical Problems in Biology RAS‏‎ (1 link)
  251. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Decision support techniques‏‎ (1 link)
  252. End user engagement throughout the development and deployment cycle is very important.Support of social participation‏‎ (1 link)
  253. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Support of social participation‏‎ (1 link)
  254. A more informative output should be generated with clear graphs and maps indicating long-term.Knowledge management process‏‎ (1 link)
  255. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Knowledge management process‏‎ (1 link)
  256. Question: Is it important to define the responsibilities and ownership for the DSS development process?‏‎ (1 link)
  257. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Knowledge management process‏‎ (1 link)
  258. Joen Forest Program Consulting‏‎ (1 link)
  259. Forest managers have to analyze how their forest management interventions effect the landscape.Description of DSS development‏‎ (1 link)
  260. Wildalpen/KATER II‏‎ (1 link)
  261. Sweden-The development and introduction of versatile DSS in Sweden.Description of DSS development‏‎ (1 link)
  262. New Zealand-Modular Forest Management DSS in NZ.Decision support techniques‏‎ (1 link)
  263. Getting joint funding from both the forest and environmental sectors can be a successfull for.Knowledge management process‏‎ (1 link)
  264. University of Natural Resources and Life Sciences Vienna‏‎ (1 link)
  265. What-if‏‎ (1 link)
  266. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Knowledge management process‏‎ (1 link)
  267. MEPAR‏‎ (1 link)
  268. Dss development process‏‎ (1 link)
  269. Maria II of Portugal‏‎ (1 link)
  270. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company.Support of social participation‏‎ (1 link)
  271. It would have been better to involve some end users at earlier stages of the system development.Decision support techniques‏‎ (1 link)
  272. United States-Watershed Condition Assessment for the Northwest Forest Plan.Knowledge management process‏‎ (1 link)
  273. OPTICORT‏‎ (1 link)
  274. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Description of DSS development‏‎ (1 link)
  275. Forest planning problem type Handbook‏‎ (1 link)
  276. DSS allowed to explain better some technical concepts to non-professional stakeholders.Description of DSS development‏‎ (1 link)
  277. 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)
  278. Finnish Forest Research Institute‏‎ (1 link)
  279. Fox‏‎ (1 link)
  280. Herbicide advisor‏‎ (1 link)
  281. The software did not provide much support for formatting of the outputs in a format that could be.Support of social participation‏‎ (1 link)
  282. SIGFOR.Knowledge management process‏‎ (1 link)
  283. Forest register‏‎ (1 link)
  284. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Knowledge management process‏‎ (1 link)
  285. Afforestion and deforestation options should be included in the management options.Description of DSS development‏‎ (1 link)
  286. 3222–3240)‏‎ (1 link)
  287. Model building was rapid, it was assembling the data that took by far the most time.Knowledge management process‏‎ (1 link)
  288. FVS.Support of social participation‏‎ (1 link)
  289. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Decision support techniques‏‎ (1 link)
  290. Spatial variation between regions led to the development of different regional models, which led to.Description of DSS development‏‎ (1 link)
  291. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Knowledge management process‏‎ (1 link)
  292. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Support of social participation‏‎ (1 link)
  293. Heureka PlanWise‏‎ (1 link)
  294. Operational aspects of the system should be enhanced.Knowledge management process‏‎ (1 link)
  295. Growth and Yield models are a key component of forest DSS.Description of DSS development‏‎ (1 link)
  296. Denis of Portugal‏‎ (1 link)
  297. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Knowledge management process‏‎ (1 link)
  298. Sancho II of Portugal‏‎ (1 link)
  299. Detail‏‎ (1 link)
  300. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Description of DSS development‏‎ (1 link)
  301. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Knowledge management process‏‎ (1 link)
  302. Supports creation of planning scenarios‏‎ (1 link)
  303. SOK‏‎ (1 link)
  304. The definition of standardized and specific criteria for selecting and zoning forest compartment.Knowledge management process‏‎ (1 link)
  305. Requirement of specialized skills can discourage some potential users.Support of social participation‏‎ (1 link)
  306. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Description of DSS development‏‎ (1 link)
  307. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Description of DSS development‏‎ (1 link)
  308. The use of structured output (maps, tables and charts) makes the methodology and the results more.Description of DSS development‏‎ (1 link)
  309. SIMO.mustikka‏‎ (1 link)
  310. SkogForsk‏‎ (1 link)
  311. DSS for forest road network extension‏‎ (1 link)
  312. Template:DSS description, Models and methods, MBMS, decision support techniques‏‎ (1 link)
  313. MONSU‏‎ (1 link)
  314. As the core of forest DSS are models describing the development of trees and stands (growth and.Description of DSS development‏‎ (1 link)
  315. Stakeholders contribution in ranking forest functions.Decision support techniques‏‎ (1 link)
  316. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Description of DSS development‏‎ (1 link)
  317. University of Bonn‏‎ (1 link)
  318. Data mining‏‎ (1 link)
  319. PiSolution GmbH‏‎ (1 link)
  320. SLU‏‎ (1 link)
  321. John II of Portugal‏‎ (1 link)
  322. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Description of DSS development‏‎ (1 link)
  323. Windthrow risk model‏‎ (1 link)
  324. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Decision support techniques‏‎ (1 link)
  325. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Support of social participation‏‎ (1 link)
  326. 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)
  327. Providing procedures and structure for data flow from selection of field sample, performing field.Description of DSS development‏‎ (1 link)
  328. FORSYS Description‏‎ (1 link)
  329. Institute of Physico-Chemical and Biological Problems in Soil Science RAS‏‎ (1 link)
  330. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Description of DSS development‏‎ (1 link)
  331. Voronov 2010‏‎ (1 link)
  332. STANDPAK‏‎ (1 link)
  333. The very easy user-friendly interface of the software and the clearness of method can be exploited.Decision support techniques‏‎ (1 link)
  334. A more informative output should be generated with clear graphs and maps indicating long-term.Support of social participation‏‎ (1 link)
  335. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Support of social participation‏‎ (1 link)
  336. Question: Is it important to facilitate a process for the problem definition before starting design and programming?‏‎ (1 link)
  337. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Support of social participation‏‎ (1 link)
  338. Mind mapping‏‎ (1 link)
  339. Forest managers have to analyze how their forest management interventions effect the landscape.Knowledge management process‏‎ (1 link)
  340. Tosia‏‎ (1 link)
  341. Sweden-The development and introduction of versatile DSS in Sweden.Knowledge management process‏‎ (1 link)
  342. New Zealand-Modular Forest Management DSS in NZ.Description of DSS development‏‎ (1 link)
  343. Getting joint funding from both the forest and environmental sectors can be a successfull for.Support of social participation‏‎ (1 link)
  344. Patchworks-TM‏‎ (1 link)
  345. Some‏‎ (1 link)
  346. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Support of social participation‏‎ (1 link)
  347. CASMOFOR‏‎ (1 link)
  348. Dss development process, Knowledge management‏‎ (1 link)
  349. Maria I of Portugal‏‎ (1 link)
  350. It would have been better to involve some end users at earlier stages of the system development.Description of DSS development‏‎ (1 link)
  351. United States-Watershed Condition Assessment for the Northwest Forest Plan.Support of social participation‏‎ (1 link)
  352. Planex‏‎ (1 link)
  353. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Knowledge management process‏‎ (1 link)
  354. Lesson Handbook‏‎ (1 link)
  355. DSS allowed to explain better some technical concepts to non-professional stakeholders.Knowledge management process‏‎ (1 link)
  356. The analysis team used internal prototyping, which helped train the staff and identify possible.Decision support techniques‏‎ (1 link)
  357. Bilberry‏‎ (1 link)
  358. YAFO.Knowledge management process‏‎ (1 link)
  359. Involvement‏‎ (1 link)
  360. SIGFOR.Support of social participation‏‎ (1 link)
  361. FBVM‏‎ (1 link)
  362. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Support of social participation‏‎ (1 link)
  363. Afforestion and deforestation options should be included in the management options.Knowledge management process‏‎ (1 link)
  364. 5‏‎ (1 link)
  365. Model building was rapid, it was assembling the data that took by far the most time.Support of social participation‏‎ (1 link)
  366. Finland-Integrating wood quality considerations in landscape-level forest planning.Decision support techniques‏‎ (1 link)
  367. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Description of DSS development‏‎ (1 link)
  368. Spatial variation between regions led to the development of different regional models, which led to.Knowledge management process‏‎ (1 link)
  369. NED.Support of social participation‏‎ (1 link)
  370. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Support of social participation‏‎ (1 link)
  371. ProdMod‏‎ (1 link)
  372. Operational aspects of the system should be enhanced.Support of social participation‏‎ (1 link)
  373. Growth and Yield models are a key component of forest DSS.Knowledge management process‏‎ (1 link)
  374. Edward of Portugal‏‎ (1 link)
  375. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Support of social participation‏‎ (1 link)
  376. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners.Decision support techniques‏‎ (1 link)
  377. Sancho I of Portugal‏‎ (1 link)
  378. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Knowledge management process‏‎ (1 link)
  379. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Support of social participation‏‎ (1 link)
  380. Mule deer (Odocoileus hemionus)‏‎ (1 link)
  381. Despite the widely use and acceptance of the DSS there was still a lack of expertise to.Decision support techniques‏‎ (1 link)
  382. The definition of standardized and specific criteria for selecting and zoning forest compartment.Support of social participation‏‎ (1 link)
  383. Results are always strongly dependent on the quality of the underlying data.Decision support techniques‏‎ (1 link)
  384. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Knowledge management process‏‎ (1 link)
  385. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Knowledge management process‏‎ (1 link)
  386. The use of structured output (maps, tables and charts) makes the methodology and the results more.Knowledge management process‏‎ (1 link)
  387. SIMO.puolukka‏‎ (1 link)
  388. Università della Tuscia - Italy‏‎ (1 link)
  389. FORPLAN‏‎ (1 link)
  390. Template:DSS description, Name, responsible organisation and contact person‏‎ (1 link)
  391. HERO‏‎ (1 link)
  392. As the core of forest DSS are models describing the development of trees and stands (growth and.Knowledge management process‏‎ (1 link)
  393. Stakeholders contribution in ranking forest functions.Description of DSS development‏‎ (1 link)
  394. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Knowledge management process‏‎ (1 link)
  395. University of Dresden‏‎ (1 link)
  396. AHP has been implemented in the Heureka PlanEval application.‏‎ (1 link)
  397. Some automatical features (help) are yet included‏‎ (1 link)
  398. Supports Multi Criteria Decision Making (MCDA by AHP and SMART)‏‎ (1 link)
  399. John IV of Portugal‏‎ (1 link)
  400. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Knowledge management process‏‎ (1 link)
  401. It is necessary to know which data will be use as variables in the models before designing the DSS.Decision support techniques‏‎ (1 link)
  402. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Description of DSS development‏‎ (1 link)
  403. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Decision support techniques‏‎ (1 link)
  404. Application of the DSS‏‎ (1 link)
  405. Providing procedures and structure for data flow from selection of field sample, performing field.Knowledge management process‏‎ (1 link)
  406. LANDIS.Support of social participation‏‎ (1 link)
  407. Spatial assignment of ecosystem services‏‎ (1 link)
  408. Research institution‏‎ (1 link)
  409. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Knowledge management process‏‎ (1 link)
  410. Forest fire monitoring information management‏‎ (1 link)
  411. Enlarge the decision space by generating a large set of potential management alternatives.Decision support techniques‏‎ (1 link)
  412. The very easy user-friendly interface of the software and the clearness of method can be exploited.Description of DSS development‏‎ (1 link)
  413. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Decision support techniques‏‎ (1 link)
  414. Question: Is it important to organize an efficient communication and coordination among the team members?‏‎ (1 link)
  415. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural‏‎ (1 link)
  416. Firecol‏‎ (1 link)
  417. Forest managers have to analyze how their forest management interventions effect the landscape.Support of social participation‏‎ (1 link)
  418. WWG Manager‏‎ (1 link)
  419. Sweden-The development and introduction of versatile DSS in Sweden.Support of social participation‏‎ (1 link)
  420. New Zealand-Modular Forest Management DSS in NZ.Knowledge management process‏‎ (1 link)
  421. FIREMAN‏‎ (1 link)
  422. Capsis.Decision support techniques‏‎ (1 link)
  423. Afonso III of Portugal‏‎ (1 link)
  424. EUIR‏‎ (1 link)
  425. Dss development process, Models & techniques‏‎ (1 link)
  426. Miguel of Portugal‏‎ (1 link)
  427. Wise Forms‏‎ (1 link)
  428. It would have been better to involve some end users at earlier stages of the system development.Knowledge management process‏‎ (1 link)
  429. Use of adequate DSS development methodology.Decision support techniques‏‎ (1 link)
  430. FMS 2.5‏‎ (1 link)
  431. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Support of social participation‏‎ (1 link)
  432. Users preferred enhanced functionality rather than useability.Decision support techniques‏‎ (1 link)
  433. DSS allowed to explain better some technical concepts to non-professional stakeholders.Support of social participation‏‎ (1 link)
  434. The analysis team used internal prototyping, which helped train the staff and identify possible.Description of DSS development‏‎ (1 link)
  435. Cowberry‏‎ (1 link)
  436. Risk model‏‎ (1 link)
  437. 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.Decision support techniques‏‎ (1 link)
  438. SILVAH.Decision support techniques‏‎ (1 link)
  439. EELIS‏‎ (1 link)
  440. Protected species and habitat information‏‎ (1 link)
  441. Afforestion and deforestation options should be included in the management options.Support of social participation‏‎ (1 link)
  442. D.; Van Orshoven‏‎ (1 link)
  443. Modular approach helpful in assisting industry uptake.Decision support techniques‏‎ (1 link)
  444. Finland-Integrating wood quality considerations in landscape-level forest planning.Description of DSS development‏‎ (1 link)
  445. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Knowledge management process‏‎ (1 link)
  446. Spatial variation between regions led to the development of different regional models, which led to.Support of social participation‏‎ (1 link)
  447. Need for new models for the later use of a tool.Decision support techniques‏‎ (1 link)
  448. Landwirtschaft‏‎ (1 link)
  449. Brazil: Short rotation eucalyptus pulp wood plantations.Decision support techniques‏‎ (1 link)
  450. SORSIM‏‎ (1 link)
  451. Growth and Yield models are a key component of forest DSS.Support of social participation‏‎ (1 link)
  452. Ferdinand II of Portugal‏‎ (1 link)
  453. Portugal-Developing a management plan for the CHAMUSCA county.Decision support techniques‏‎ (1 link)
  454. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners.Description of DSS development‏‎ (1 link)
  455. Sebastian of Portugal‏‎ (1 link)
  456. Agricultural Research Council (CRA)‏‎ (1 link)
  457. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Support of social participation‏‎ (1 link)
  458. ManForFirE‏‎ (1 link)
  459. Still unknown‏‎ (1 link)
  460. Despite the widely use and acceptance of the DSS there was still a lack of expertise to.Description of DSS development‏‎ (1 link)
  461. The development of large and enduring systems requires a long term approach.Decision support techniques‏‎ (1 link)
  462. Results are always strongly dependent on the quality of the underlying data.Description of DSS development‏‎ (1 link)
  463. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Support of social participation‏‎ (1 link)
  464. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Support of social participation‏‎ (1 link)
  465. The use of structured output (maps, tables and charts) makes the methodology and the results more.Support of social participation‏‎ (1 link)
  466. A financial analysis is an important component in the discussion about the preferences of different.Decision support techniques‏‎ (1 link)
  467. SIMO.sienet‏‎ (1 link)
  468. Università della Tuscia - Università del Molise‏‎ (1 link)
  469. DSS for brown bear management‏‎ (1 link)
  470. Template:DSS description, Ongoing development‏‎ (1 link)
  471. Unnamed MCDS application‏‎ (1 link)
  472. As the core of forest DSS are models describing the development of trees and stands (growth and.Support of social participation‏‎ (1 link)
  473. Stakeholders contribution in ranking forest functions.Knowledge management process‏‎ (1 link)
  474. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Support of social participation‏‎ (1 link)
  475. DSS-WUK‏‎ (1 link)
  476. Etc) may decrease the number of comparisons‏‎ (1 link)
  477. The manual is currently in development. Support is provided directly by the developers (training courses and technical support).‏‎ (1 link)
  478. Will be further developed include participatory planning‏‎ (1 link)
  479. John I of Portugal‏‎ (1 link)
  480. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Support of social participation‏‎ (1 link)
  481. 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)
  482. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Knowledge management process‏‎ (1 link)
  483. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Description of DSS development‏‎ (1 link)
  484. Provide missing help/documentation service.Decision support techniques‏‎ (1 link)
  485. Providing procedures and structure for data flow from selection of field sample, performing field.Support of social participation‏‎ (1 link)
  486. CRA-MPF - Trento - Italy‏‎ (1 link)
  487. WebCorky.Decision support techniques‏‎ (1 link)
  488. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Support of social participation‏‎ (1 link)
  489. SWAP‏‎ (1 link)
  490. Enlarge the decision space by generating a large set of potential management alternatives.Description of DSS development‏‎ (1 link)
  491. The very easy user-friendly interface of the software and the clearness of method can be exploited.Knowledge management process‏‎ (1 link)
  492. Ongoing development‏‎ (1 link)
  493. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Description of DSS development‏‎ (1 link)
  494. Question: Is it relevant to consider an adequate programming environment and programming tools for the implementation?‏‎ (1 link)
  495. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Decision support techniques‏‎ (1 link)
  496. ChangeSMWPageID". Database returned error "1146: Table 'forestdss wiki.mw smw fpt askdu' doesn't exist (localhost)".‏‎ (1 link)
  497. From a management perspective, to avoid the complication of testing something new, the models used.Decision support techniques‏‎ (1 link)
  498. Belgium-BoLa a specific sDSS to support land use planning in Flanders.Decision support techniques‏‎ (1 link)
  499. Swedish University of Agricultural Sciences (SLU)‏‎ (1 link)
  500. New Zealand-Modular Forest Management DSS in NZ.Support of social participation‏‎ (1 link)

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