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

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