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Showing below up to 488 results in range #501 to #988.

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  1. Proximities‏‎ (1 link)
  2. John III of Portugal‏‎ (1 link)
  3. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Decision support techniques‏‎ (1 link)
  4. Sample DSS with semantic form‏‎ (1 link)
  5. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Knowledge management process‏‎ (1 link)
  6. It was decided to develop a highly detailed system in order that it could be used in the most.Knowledge management process‏‎ (1 link)
  7. Finland-Strategic planning at the national forest administration.Description of DSS development‏‎ (1 link)
  8. Analysis at the landscape level allowed the integration of concerns about multiple resources as well.Knowledge management process‏‎ (1 link)
  9. Austria-Improving forestry extension services for small-scale private landowners.Support of social participation‏‎ (1 link)
  10. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Decision support techniques‏‎ (1 link)
  11. WINALP‏‎ (1 link)
  12. System costs (personnel expenditure‏‎ (1 link)
  13. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Support of social participation‏‎ (1 link)
  14. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Knowledge management process‏‎ (1 link)
  15. Property:Has working group theme:Models & techniques‏‎ (1 link)
  16. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Knowledge management process‏‎ (1 link)
  17. It should be possible to specify the rotation time of a species not only by age but also by target.Description of DSS development‏‎ (1 link)
  18. Joen Forest Program Consulting‏‎ (1 link)
  19. Sweden-The development and introduction of versatile DSS in Sweden.Description of DSS development‏‎ (1 link)
  20. Italy A comprehensive system for the forest management planning in Trentino Province‏‎ (1 link)
  21. Lesson Handbook‏‎ (1 link)
  22. New Zealand-Modular Forest Management DSS in NZ.Decision support techniques‏‎ (1 link)
  23. What-if‏‎ (1 link)
  24. YAFO.Knowledge management process‏‎ (1 link)
  25. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Knowledge management process‏‎ (1 link)
  26. Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the.Support of social participation‏‎ (1 link)
  27. Maria II of Portugal‏‎ (1 link)
  28. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company.Support of social participation‏‎ (1 link)
  29. Question: How is it possible to facilitate the design of user-oriented interfaces?‏‎ (1 link)
  30. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Description of DSS development‏‎ (1 link)
  31. Providing procedures and structure for data flow from selection of field sample, performing field.Decision support techniques‏‎ (1 link)
  32. ForestGales.Knowledge management process‏‎ (1 link)
  33. HaRPSS‏‎ (1 link)
  34. The software did not provide much support for formatting of the outputs in a format that could be.Support of social participation‏‎ (1 link)
  35. SIGFOR.Knowledge management process‏‎ (1 link)
  36. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is.Description of DSS development‏‎ (1 link)
  37. François de Coligny‏‎ (1 link)
  38. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Knowledge management process‏‎ (1 link)
  39. 3222–3240)‏‎ (1 link)
  40. HylobiusManagementSupportSystem.Knowledge management process‏‎ (1 link)
  41. Model building was rapid, it was assembling the data that took by far the most time.Knowledge management process‏‎ (1 link)
  42. Participation, Knowledge management‏‎ (1 link)
  43. Spatial variation between regions led to the development of different regional models, which led to.Description of DSS development‏‎ (1 link)
  44. Italy-A comprehensive system for forest management planning in Trentino Province.Knowledge management process‏‎ (1 link)
  45. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Description of DSS development‏‎ (1 link)
  46. University of Natural Resources and Life Sciences (BOKU)‏‎ (1 link)
  47. Heureka PlanWise‏‎ (1 link)
  48. Lack of proper documentation and support services (manual, website, etc) can severely limit the.Knowledge management process‏‎ (1 link)
  49. Mule deer (Odocoileus hemionus)‏‎ (1 link)
  50. Operational aspects of the system should be enhanced.Knowledge management process‏‎ (1 link)
  51. SMART - simple multiple attribute ranking‏‎ (1 link)
  52. Denis of Portugal‏‎ (1 link)
  53. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Knowledge management process‏‎ (1 link)
  54. Enlarged decision space.Decision support techniques‏‎ (1 link)
  55. Adapting the software to make it possible to easily include also the output of other mechanistic.Support of social participation‏‎ (1 link)
  56. Sancho II of Portugal‏‎ (1 link)
  57. Detail‏‎ (1 link)
  58. FVS.Decision support techniques‏‎ (1 link)
  59. An iterative process of presenting results to subject matter experts enabled them to better.Support of social participation‏‎ (1 link)
  60. 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)
  61. The definition of standardized and specific criteria for selecting and zoning forest compartment.Knowledge management process‏‎ (1 link)
  62. Requirement of specialized skills can discourage some potential users.Support of social participation‏‎ (1 link)
  63. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley.Description of DSS development‏‎ (1 link)
  64. The use of structured output (maps, tables and charts) makes the methodology and the results more.Description of DSS development‏‎ (1 link)
  65. SIMO.mustikka‏‎ (1 link)
  66. Heureka RegWise‏‎ (1 link)
  67. DSS for forest road network extension‏‎ (1 link)
  68. WESTFOREST‏‎ (1 link)
  69. Template:DSS description, Models and methods, MBMS, decision support techniques‏‎ (1 link)
  70. Stakeholders contribution in ranking forest functions.Decision support techniques‏‎ (1 link)
  71. Italy-Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites.Support of social participation‏‎ (1 link)
  72. Use of adequate DSS development methodology.Decision support techniques‏‎ (1 link)
  73. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Description of DSS development‏‎ (1 link)
  74. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Decision support techniques‏‎ (1 link)
  75. Spatial assignment of ecosystem services‏‎ (1 link)
  76. PiSolution GmbH‏‎ (1 link)
  77. EcologicalSiteClassification.Support of social participation‏‎ (1 link)
  78. John II of Portugal‏‎ (1 link)
  79. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Description of DSS development‏‎ (1 link)
  80. FEIDESSYS‏‎ (1 link)
  81. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Support of social participation‏‎ (1 link)
  82. 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)
  83. Finland-Strategic planning at the national forest administration.Knowledge management process‏‎ (1 link)
  84. Analysis at the landscape level allowed the integration of concerns about multiple resources as well.Support of social participation‏‎ (1 link)
  85. Forestry extension services‏‎ (1 link)
  86. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Description of DSS development‏‎ (1 link)
  87. Voronov 2010‏‎ (1 link)
  88. WinForstPro‏‎ (1 link)
  89. At the Department of Forest and Soil Sciences‏‎ (1 link)
  90. The very easy user-friendly interface of the software and the clearness of method can be exploited.Decision support techniques‏‎ (1 link)
  91. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Support of social participation‏‎ (1 link)
  92. EIR‏‎ (1 link)
  93. Property:Has working group theme:Participation‏‎ (1 link)
  94. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Support of social participation‏‎ (1 link)
  95. It should be possible to specify the rotation time of a species not only by age but also by target.Knowledge management process‏‎ (1 link)
  96. Mind mapping‏‎ (1 link)
  97. Property:Additional information‏‎ (1 link)
  98. Sweden-The development and introduction of versatile DSS in Sweden.Knowledge management process‏‎ (1 link)
  99. Users preferred enhanced functionality rather than useability.Decision support techniques‏‎ (1 link)
  100. New Zealand-Modular Forest Management DSS in NZ.Description of DSS development‏‎ (1 link)
  101. CommonGIS‏‎ (1 link)
  102. Some‏‎ (1 link)
  103. Risk model‏‎ (1 link)
  104. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Support of social participation‏‎ (1 link)
  105. End user engagement throughout the development and deployment cycle is very important.Decision support techniques‏‎ (1 link)
  106. Maria I of Portugal‏‎ (1 link)
  107. Question: How is it possible to manage the output of models and methods in a way that they are easy to understand and interpreted by the user?‏‎ (1 link)
  108. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Knowledge management process‏‎ (1 link)
  109. Providing procedures and structure for data flow from selection of field sample, performing field.Description of DSS development‏‎ (1 link)
  110. Ernährung‏‎ (1 link)
  111. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Decision support techniques‏‎ (1 link)
  112. Involvement‏‎ (1 link)
  113. SIGFOR.Support of social participation‏‎ (1 link)
  114. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is.Knowledge management process‏‎ (1 link)
  115. Samuel Dufour‏‎ (1 link)
  116. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Support of social participation‏‎ (1 link)
  117. 5‏‎ (1 link)
  118. HylobiusManagementSupportSystem.Support of social participation‏‎ (1 link)
  119. Model building was rapid, it was assembling the data that took by far the most time.Support of social participation‏‎ (1 link)
  120. Case Lessons involving software development on subform‏‎ (1 link)
  121. Spatial variation between regions led to the development of different regional models, which led to.Knowledge management process‏‎ (1 link)
  122. Italy-A comprehensive system for forest management planning in Trentino Province.Support of social participation‏‎ (1 link)
  123. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Knowledge management process‏‎ (1 link)
  124. NED.Support of social participation‏‎ (1 link)
  125. Vienna‏‎ (1 link)
  126. ProdMod‏‎ (1 link)
  127. Lack of proper documentation and support services (manual, website, etc) can severely limit the.Support of social participation‏‎ (1 link)
  128. Still unknown‏‎ (1 link)
  129. Operational aspects of the system should be enhanced.Support of social participation‏‎ (1 link)
  130. Testing performance of multiple alternative management strategies‏‎ (1 link)
  131. Edward of Portugal‏‎ (1 link)
  132. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Support of social participation‏‎ (1 link)
  133. Enlarged decision space.Description of DSS development‏‎ (1 link)
  134. Sancho I of Portugal‏‎ (1 link)
  135. FVS.Description of DSS development‏‎ (1 link)
  136. The analysis team used internal prototyping, which helped train the staff and identify possible.Decision support techniques‏‎ (1 link)
  137. The definition of standardized and specific criteria for selecting and zoning forest compartment.Support of social participation‏‎ (1 link)
  138. Results are always strongly dependent on the quality of the underlying data.Decision support techniques‏‎ (1 link)
  139. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley.Knowledge management process‏‎ (1 link)
  140. The use of structured output (maps, tables and charts) makes the methodology and the results more.Knowledge management process‏‎ (1 link)
  141. SIMO.puolukka‏‎ (1 link)
  142. FORPLAN‏‎ (1 link)
  143. PRACTI-SFM‏‎ (1 link)
  144. Template:DSS description, Name, responsible organisation and contact person‏‎ (1 link)
  145. Stakeholders contribution in ranking forest functions.Description of DSS development‏‎ (1 link)
  146. Forest service - Abruzzo Region‏‎ (1 link)
  147. Use of adequate DSS development methodology.Description of DSS development‏‎ (1 link)
  148. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Knowledge management process‏‎ (1 link)
  149. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Description of DSS development‏‎ (1 link)
  150. AHP has been implemented in the Heureka PlanEval application.‏‎ (1 link)
  151. MatrixGen.Support of social participation‏‎ (1 link)
  152. WebCorky.Decision support techniques‏‎ (1 link)
  153. Some automatical features (help) are yet included‏‎ (1 link)
  154. John IV of Portugal‏‎ (1 link)
  155. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Knowledge management process‏‎ (1 link)
  156. HEUDESSYS‏‎ (1 link)
  157. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Decision support techniques‏‎ (1 link)
  158. Application of the DSS‏‎ (1 link)
  159. Finland-Strategic planning at the national forest administration.Support of social participation‏‎ (1 link)
  160. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Knowledge management process‏‎ (1 link)
  161. Forest fire monitoring information management‏‎ (1 link)
  162. Getting joint funding from both the forest and environmental sectors can be a successfull for.Decision support techniques‏‎ (1 link)
  163. Department of Forest and Soil Sciences‏‎ (1 link)
  164. The very easy user-friendly interface of the software and the clearness of method can be exploited.Description of DSS development‏‎ (1 link)
  165. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Decision support techniques‏‎ (1 link)
  166. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural‏‎ (1 link)
  167. It should be possible to specify the rotation time of a species not only by age but also by target.Support of social participation‏‎ (1 link)
  168. Firecol‏‎ (1 link)
  169. Cases‏‎ (1 link)
  170. Sweden-The development and introduction of versatile DSS in Sweden.Support of social participation‏‎ (1 link)
  171. LANDIS.Decision support techniques‏‎ (1 link)
  172. Users preferred enhanced functionality rather than useability.Description of DSS development‏‎ (1 link)
  173. New Zealand-Modular Forest Management DSS in NZ.Knowledge management process‏‎ (1 link)
  174. Afonso III of Portugal‏‎ (1 link)
  175. Timber price model‏‎ (1 link)
  176. End user engagement throughout the development and deployment cycle is very important.Description of DSS development‏‎ (1 link)
  177. A more informative output should be generated with clear graphs and maps indicating long-term.Decision support techniques‏‎ (1 link)
  178. Miguel of Portugal‏‎ (1 link)
  179. Wise Forms‏‎ (1 link)
  180. Question: How is it possible to organize the user documentation?‏‎ (1 link)
  181. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Support of social participation‏‎ (1 link)
  182. Providing procedures and structure for data flow from selection of field sample, performing field.Knowledge management process‏‎ (1 link)
  183. ForestGales.Support of social participation‏‎ (1 link)
  184. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Decision support techniques‏‎ (1 link)
  185. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Description of DSS development‏‎ (1 link)
  186. 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)
  187. SILVAH.Decision support techniques‏‎ (1 link)
  188. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is.Support of social participation‏‎ (1 link)
  189. Protected species and habitat information‏‎ (1 link)
  190. D.; Van Orshoven‏‎ (1 link)
  191. Population dynamics‏‎ (1 link)
  192. Modular approach helpful in assisting industry uptake.Decision support techniques‏‎ (1 link)
  193. Spatial variation between regions led to the development of different regional models, which led to.Support of social participation‏‎ (1 link)
  194. Eurac research - Fabio Pastorella‏‎ (1 link)
  195. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Support of social participation‏‎ (1 link)
  196. Need for new models for the later use of a tool.Decision support techniques‏‎ (1 link)
  197. SORSIM‏‎ (1 link)
  198. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Decision support techniques‏‎ (1 link)
  199. Ferdinand II of Portugal‏‎ (1 link)
  200. Portugal-Developing a management plan for the CHAMUSCA county.Decision support techniques‏‎ (1 link)
  201. Enlarged decision space.Knowledge management process‏‎ (1 link)
  202. Sebastian of Portugal‏‎ (1 link)
  203. Agricultural Research Council (CRA)‏‎ (1 link)
  204. FVS.Knowledge management process‏‎ (1 link)
  205. The analysis team used internal prototyping, which helped train the staff and identify possible.Description of DSS development‏‎ (1 link)
  206. The development of large and enduring systems requires a long term approach.Decision support techniques‏‎ (1 link)
  207. Results are always strongly dependent on the quality of the underlying data.Description of DSS development‏‎ (1 link)
  208. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley.Support of social participation‏‎ (1 link)
  209. The use of structured output (maps, tables and charts) makes the methodology and the results more.Support of social participation‏‎ (1 link)
  210. SIMO.sienet‏‎ (1 link)
  211. DSS for brown bear management‏‎ (1 link)
  212. HSS‏‎ (1 link)
  213. Template:DSS description, Ongoing development‏‎ (1 link)
  214. Stakeholders contribution in ranking forest functions.Knowledge management process‏‎ (1 link)
  215. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Decision support techniques‏‎ (1 link)
  216. Use of adequate DSS development methodology.Knowledge management process‏‎ (1 link)
  217. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Support of social participation‏‎ (1 link)
  218. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Knowledge management process‏‎ (1 link)
  219. Etc) may decrease the number of comparisons‏‎ (1 link)
  220. MESTA.TATTI‏‎ (1 link)
  221. WebCorky.Description of DSS development‏‎ (1 link)
  222. The manual is currently in development. Support is provided directly by the developers (training courses and technical support).‏‎ (1 link)
  223. MultiCriteria Risk Analysis (MCRA)‏‎ (1 link)
  224. John I of Portugal‏‎ (1 link)
  225. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Support of social participation‏‎ (1 link)
  226. IFFIRES‏‎ (1 link)
  227. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Description of DSS development‏‎ (1 link)
  228. Provide missing help/documentation service.Decision support techniques‏‎ (1 link)
  229. Metsähallitus‏‎ (1 link)
  230. Forest managers have to analyze how their forest management interventions effect the landscape.Decision support techniques‏‎ (1 link)
  231. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Support of social participation‏‎ (1 link)
  232. SWAP‏‎ (1 link)
  233. Getting joint funding from both the forest and environmental sectors can be a successfull for.Description of DSS development‏‎ (1 link)
  234. The very easy user-friendly interface of the software and the clearness of method can be exploited.Knowledge management process‏‎ (1 link)
  235. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Description of DSS development‏‎ (1 link)
  236. NFD‏‎ (1 link)
  237. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Decision support techniques‏‎ (1 link)
  238. ChangeSMWPageID". Database returned error "1146: Table 'forestdss wiki.mw smw fpt askdu' doesn't exist (localhost)".‏‎ (1 link)
  239. MPCOS‏‎ (1 link)
  240. Swedish University of Agricultural Sciences (SLU)‏‎ (1 link)
  241. LANDIS.Description of DSS development‏‎ (1 link)
  242. Users preferred enhanced functionality rather than useability.Knowledge management process‏‎ (1 link)
  243. New Zealand-Modular Forest Management DSS in NZ.Support of social participation‏‎ (1 link)
  244. Comparative analysis of multiple alternative management strategies‏‎ (1 link)
  245. Afonso II of Portugal‏‎ (1 link)
  246. Institute of Forest Management‏‎ (1 link)
  247. End user engagement throughout the development and deployment cycle is very important.Knowledge management process‏‎ (1 link)
  248. A more informative output should be generated with clear graphs and maps indicating long-term.Description of DSS development‏‎ (1 link)
  249. Pedro I of Brazil‏‎ (1 link)
  250. SIMPLOT‏‎ (1 link)
  251. Question: Is important to guarantee that the models and methods selected fit best to the problem and the user's needs?‏‎ (1 link)
  252. The adoption of the collaborative learning method made possible to gradually select the conceptual.Decision support techniques‏‎ (1 link)
  253. Providing procedures and structure for data flow from selection of field sample, performing field.Support of social participation‏‎ (1 link)
  254. The analysis team used internal prototyping, which helped train the staff and identify possible.Knowledge management process‏‎ (1 link)
  255. NeuroForest‏‎ (1 link)
  256. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Description of DSS development‏‎ (1 link)
  257. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Knowledge management process‏‎ (1 link)
  258. 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.Description of DSS development‏‎ (1 link)
  259. SILVAH.Description of DSS development‏‎ (1 link)
  260. Growth and Yield models are a key component of forest DSS.Decision support techniques‏‎ (1 link)
  261. HylobiusMSS‏‎ (1 link)
  262. Iterative Ideal Point Tresholding (IIPT) optimization (Estrella‏‎ (1 link)
  263. Forest Research‏‎ (1 link)
  264. Modular approach helpful in assisting industry uptake.Description of DSS development‏‎ (1 link)
  265. Stakeholder involvement.Decision support techniques‏‎ (1 link)
  266. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Decision support techniques‏‎ (1 link)
  267. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Decision support techniques‏‎ (1 link)
  268. Need for new models for the later use of a tool.Description of DSS development‏‎ (1 link)
  269. DSS allowed to explain better some technical concepts to non-professional stakeholders.Decision support techniques‏‎ (1 link)
  270. CACoMLa‏‎ (1 link)
  271. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Description of DSS development‏‎ (1 link)
  272. University of Copenhagen‏‎ (1 link)
  273. Any‏‎ (1 link)
  274. Ferdinand I of Portugal‏‎ (1 link)
  275. Portugal-Developing a management plan for the CHAMUSCA county.Description of DSS development‏‎ (1 link)
  276. Enlarged decision space.Support of social participation‏‎ (1 link)
  277. Afforestion and deforestation options should be included in the management options.Decision support techniques‏‎ (1 link)
  278. As the core of forest DSS are models describing the development of trees and stands (growth and.Decision support techniques‏‎ (1 link)
  279. The development of large and enduring systems requires a long term approach.Description of DSS development‏‎ (1 link)
  280. Results are always strongly dependent on the quality of the underlying data.Knowledge management process‏‎ (1 link)
  281. Regional planning authority‏‎ (1 link)
  282. The use of the DSS improved communication among the planning team by providing a framework of the.Decision support techniques‏‎ (1 link)
  283. Simosol Oy‏‎ (1 link)
  284. Recreation‏‎ (1 link)
  285. Population model‏‎ (1 link)
  286. CRMS-FEL‏‎ (1 link)
  287. Template:DSS description, Scope of the tool‏‎ (1 link)
  288. Stakeholders contribution in ranking forest functions.Support of social participation‏‎ (1 link)
  289. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Description of DSS development‏‎ (1 link)
  290. Use of adequate DSS development methodology.Support of social participation‏‎ (1 link)
  291. Neighbourhood interrelations should be included in the generator.Decision support techniques‏‎ (1 link)
  292. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Support of social participation‏‎ (1 link)
  293. In this paper‏‎ (1 link)
  294. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Decision support techniques‏‎ (1 link)
  295. WebCorky.Knowledge management process‏‎ (1 link)
  296. ZEF C: Department of Ecology and Natural Resources Management‏‎ (1 link)
  297. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Decision support techniques‏‎ (1 link)
  298. John VI of Portugal‏‎ (1 link)
  299. Portugal-Supporting a multi stakeholders decision process in a Portuguese National Forest.Decision support techniques‏‎ (1 link)
  300. Http://www.skogforsk.se/‏‎ (1 link)
  301. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Knowledge management process‏‎ (1 link)
  302. Provide missing help/documentation service.Description of DSS development‏‎ (1 link)
  303. MESTA‏‎ (1 link)
  304. Forest managers have to analyze how their forest management interventions effect the landscape.Description of DSS development‏‎ (1 link)
  305. Wildalpen/KATER II‏‎ (1 link)
  306. The scope of the modeling project can change significantly during the project.Decision support techniques‏‎ (1 link)
  307. Pine cones‏‎ (1 link)
  308. Getting joint funding from both the forest and environmental sectors can be a successfull for.Knowledge management process‏‎ (1 link)
  309. University of Natural Resources and Life Sciences Vienna‏‎ (1 link)
  310. The very easy user-friendly interface of the software and the clearness of method can be exploited.Support of social participation‏‎ (1 link)
  311. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Knowledge management process‏‎ (1 link)
  312. MEPAR‏‎ (1 link)
  313. Dss development process‏‎ (1 link)
  314. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Description of DSS development‏‎ (1 link)
  315. It would have been better to involve some end users at earlier stages of the system development.Decision support techniques‏‎ (1 link)
  316. Multiple DSS are often needed to meet complex needs.Decision support techniques‏‎ (1 link)
  317. OPTICORT‏‎ (1 link)
  318. Sweden-The history of a successfull forest DSS in Sweden.Decision support techniques‏‎ (1 link)
  319. LANDIS.Knowledge management process‏‎ (1 link)
  320. Users preferred enhanced functionality rather than useability.Support of social participation‏‎ (1 link)
  321. Scion‏‎ (1 link)
  322. Institute of Mathematical Problems in Biology RAS‏‎ (1 link)
  323. Afonso IV of Portugal‏‎ (1 link)
  324. Portugal-A Decision Support System for eucalypt forest management under climate change scenarios.Decision support techniques‏‎ (1 link)
  325. End user engagement throughout the development and deployment cycle is very important.Support of social participation‏‎ (1 link)
  326. A more informative output should be generated with clear graphs and maps indicating long-term.Knowledge management process‏‎ (1 link)
  327. Pedro V of Portugal‏‎ (1 link)
  328. PractiSFM.Description of DSS development‏‎ (1 link)
  329. Question: Is it important to define the responsibilities and ownership for the DSS development process?‏‎ (1 link)
  330. The adoption of the collaborative learning method made possible to gradually select the conceptual.Description of DSS development‏‎ (1 link)
  331. The analysis team used internal prototyping, which helped train the staff and identify possible.Support of social participation‏‎ (1 link)
  332. Regular ongoing engagement helped maintain interest of users.Decision support techniques‏‎ (1 link)
  333. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Knowledge management process‏‎ (1 link)
  334. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Support of social participation‏‎ (1 link)
  335. 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.Knowledge management process‏‎ (1 link)
  336. SILVAH.Knowledge management process‏‎ (1 link)
  337. Growth and Yield models are a key component of forest DSS.Description of DSS development‏‎ (1 link)
  338. Pest control activity scheduling‏‎ (1 link)
  339. J. Comparison of three ideal point-based multi-criteria decision methods for afforestation planning. Forests 2014‏‎ (1 link)
  340. Modular approach helpful in assisting industry uptake.Knowledge management process‏‎ (1 link)
  341. Stakeholder involvement.Description of DSS development‏‎ (1 link)
  342. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Description of DSS development‏‎ (1 link)
  343. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Description of DSS development‏‎ (1 link)
  344. Need for new models for the later use of a tool.Knowledge management process‏‎ (1 link)
  345. DSS allowed to explain better some technical concepts to non-professional stakeholders.Description of DSS development‏‎ (1 link)
  346. Finnish Forest Research Institute‏‎ (1 link)
  347. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Knowledge management process‏‎ (1 link)
  348. UNISOMA‏‎ (1 link)
  349. Herbicide advisor‏‎ (1 link)
  350. Henry of Portugal‏‎ (1 link)
  351. Portugal-Developing a management plan for the CHAMUSCA county.Knowledge management process‏‎ (1 link)
  352. Forest register‏‎ (1 link)
  353. Afforestion and deforestation options should be included in the management options.Description of DSS development‏‎ (1 link)
  354. The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain.Decision support techniques‏‎ (1 link)
  355. Projection of stand development increases knowledge base.Decision support techniques‏‎ (1 link)
  356. FVS.Support of social participation‏‎ (1 link)
  357. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Decision support techniques‏‎ (1 link)
  358. As the core of forest DSS are models describing the development of trees and stands (growth and.Description of DSS development‏‎ (1 link)
  359. The development of large and enduring systems requires a long term approach.Knowledge management process‏‎ (1 link)
  360. Results are always strongly dependent on the quality of the underlying data.Support of social participation‏‎ (1 link)
  361. University of Bonn‏‎ (1 link)
  362. Data mining‏‎ (1 link)
  363. The use of the DSS improved communication among the planning team by providing a framework of the.Description of DSS development‏‎ (1 link)
  364. CRA-MPF (Trento‏‎ (1 link)
  365. SLU‏‎ (1 link)
  366. Unnamed Computarized Tool‏‎ (1 link)
  367. Windthrow risk model‏‎ (1 link)
  368. Template:DSS description, Support of knowledge management process‏‎ (1 link)
  369. Students studying forest management planning procedures and processes were very useful ‘guinea pigs’.Decision support techniques‏‎ (1 link)
  370. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Knowledge management process‏‎ (1 link)
  371. Use of the DSS has been considered successful by the participating organizations, even though it has.Decision support techniques‏‎ (1 link)
  372. Neighbourhood interrelations should be included in the generator.Description of DSS development‏‎ (1 link)
  373. SOK‏‎ (1 link)
  374. No full DSS was used‏‎ (1 link)
  375. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Description of DSS development‏‎ (1 link)
  376. WebCorky.Support of social participation‏‎ (1 link)
  377. Pareto Frontier Techniques are useful for multi-criteria forest management planning.Decision support techniques‏‎ (1 link)
  378. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Description of DSS development‏‎ (1 link)
  379. John V of Portugal‏‎ (1 link)
  380. Portugal-Supporting a multi stakeholders decision process in a Portuguese National Forest.Description of DSS development‏‎ (1 link)
  381. SkogForsk‏‎ (1 link)
  382. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Support of social participation‏‎ (1 link)
  383. Provide missing help/documentation service.Knowledge management process‏‎ (1 link)
  384. MONSU‏‎ (1 link)
  385. Forest managers have to analyze how their forest management interventions effect the landscape.Knowledge management process‏‎ (1 link)
  386. Tosia‏‎ (1 link)
  387. The scope of the modeling project can change significantly during the project.Description of DSS development‏‎ (1 link)
  388. SADfLOR web-based.Description of DSS development‏‎ (1 link)
  389. Getting joint funding from both the forest and environmental sectors can be a successfull for.Support of social participation‏‎ (1 link)
  390. Patchworks-TM‏‎ (1 link)
  391. To compare the current and the past quantitative/qualitative parameters of the forest, great effort.Decision support techniques‏‎ (1 link)
  392. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Support of social participation‏‎ (1 link)
  393. CASMOFOR‏‎ (1 link)
  394. Dss development process, Knowledge management‏‎ (1 link)
  395. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Knowledge management process‏‎ (1 link)
  396. It would have been better to involve some end users at earlier stages of the system development.Description of DSS development‏‎ (1 link)
  397. United States-Boise-Payette-Sawtooth National Forest Plan.Decision support techniques‏‎ (1 link)
  398. Multiple DSS are often needed to meet complex needs.Description of DSS development‏‎ (1 link)
  399. Planex‏‎ (1 link)
  400. Sweden-The history of a successfull forest DSS in Sweden.Description of DSS development‏‎ (1 link)
  401. Using Actor Network Theory in the design stage can help in understanding the dynamism of the network.Decision support techniques‏‎ (1 link)
  402. Institute of Physico-Chemical and Biological Problems in Soil Science RAS‏‎ (1 link)
  403. Afonso I of Portugal‏‎ (1 link)
  404. Portugal-A Decision Support System for eucalypt forest management under climate change scenarios.Description of DSS development‏‎ (1 link)
  405. STANDPAK‏‎ (1 link)
  406. A more informative output should be generated with clear graphs and maps indicating long-term.Support of social participation‏‎ (1 link)
  407. Peter III of Portugal‏‎ (1 link)
  408. PractiSFM.Knowledge management process‏‎ (1 link)
  409. Question: Is it important to facilitate a process for the problem definition before starting design and programming?‏‎ (1 link)
  410. The adoption of the collaborative learning method made possible to gradually select the conceptual.Knowledge management process‏‎ (1 link)
  411. The choice to develop the system in an Excel environment was based on the status of computer.Decision support techniques‏‎ (1 link)
  412. Regular ongoing engagement helped maintain interest of users.Description of DSS development‏‎ (1 link)
  413. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Support of social participation‏‎ (1 link)
  414. 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.Support of social participation‏‎ (1 link)
  415. SILVAH.Support of social participation‏‎ (1 link)
  416. Growth and Yield models are a key component of forest DSS.Knowledge management process‏‎ (1 link)
  417. R.; Cattrysse‏‎ (1 link)
  418. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners.Decision support techniques‏‎ (1 link)
  419. Modular approach helpful in assisting industry uptake.Support of social participation‏‎ (1 link)
  420. Stakeholder involvement.Knowledge management process‏‎ (1 link)
  421. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Knowledge management process‏‎ (1 link)
  422. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Knowledge management process‏‎ (1 link)
  423. Need for new models for the later use of a tool.Support of social participation‏‎ (1 link)
  424. DSS allowed to explain better some technical concepts to non-professional stakeholders.Knowledge management process‏‎ (1 link)
  425. WVK‏‎ (1 link)
  426. Bilberry‏‎ (1 link)
  427. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Support of social participation‏‎ (1 link)
  428. Unisoma Matemática LTDA‏‎ (1 link)
  429. House of Aviz‏‎ (1 link)
  430. Portugal-Developing a management plan for the CHAMUSCA county.Support of social participation‏‎ (1 link)
  431. FBVM‏‎ (1 link)
  432. Afforestion and deforestation options should be included in the management options.Knowledge management process‏‎ (1 link)
  433. The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain.Description of DSS development‏‎ (1 link)
  434. Projection of stand development increases knowledge base.Description of DSS development‏‎ (1 link)
  435. Finland-Integrating wood quality considerations in landscape-level forest planning.Decision support techniques‏‎ (1 link)
  436. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Description of DSS development‏‎ (1 link)
  437. As the core of forest DSS are models describing the development of trees and stands (growth and.Knowledge management process‏‎ (1 link)
  438. The development of large and enduring systems requires a long term approach.Support of social participation‏‎ (1 link)
  439. Stuff‏‎ (1 link)
  440. University of Dresden‏‎ (1 link)
  441. The use of the DSS improved communication among the planning team by providing a framework of the.Knowledge management process‏‎ (1 link)
  442. Forest Service of Trentino Province‏‎ (1 link)
  443. Supports Multi Criteria Decision Making (MCDA by AHP and SMART)‏‎ (1 link)
  444. Unnamed Internet based tool‏‎ (1 link)
  445. It is necessary to know which data will be use as variables in the models before designing the DSS.Decision support techniques‏‎ (1 link)
  446. Template:DSS description, Support of social participation‏‎ (1 link)
  447. Students studying forest management planning procedures and processes were very useful ‘guinea pigs’.Description of DSS development‏‎ (1 link)
  448. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Support of social participation‏‎ (1 link)
  449. Use of the DSS has been considered successful by the participating organizations, even though it has.Description of DSS development‏‎ (1 link)
  450. Neighbourhood interrelations should be included in the generator.Knowledge management process‏‎ (1 link)
  451. Despite the widely use and acceptance of the DSS there was still a lack of expertise to.Decision support techniques‏‎ (1 link)
  452. Using AHP in combination with other methods (regression‏‎ (1 link)
  453. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Knowledge management process‏‎ (1 link)
  454. Involving local stakeholders in ranking the functions allowed to show them tangibly how their‏‎ (1 link)
  455. Pareto Frontier Techniques are useful for multi-criteria forest management planning.Description of DSS development‏‎ (1 link)
  456. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Knowledge management process‏‎ (1 link)
  457. Joseph I of Portugal‏‎ (1 link)
  458. Portugal-Supporting a multi stakeholders decision process in a Portuguese National Forest.Knowledge management process‏‎ (1 link)
  459. Università della Tuscia - Italy‏‎ (1 link)
  460. The ProgettoBosco working methodology, based on cooperation, successive approximations and.Decision support techniques‏‎ (1 link)
  461. Provide missing help/documentation service.Support of social participation‏‎ (1 link)
  462. HERO‏‎ (1 link)
  463. Forest managers have to analyze how their forest management interventions effect the landscape.Support of social participation‏‎ (1 link)
  464. WWG Manager‏‎ (1 link)
  465. The scope of the modeling project can change significantly during the project.Knowledge management process‏‎ (1 link)
  466. SADfLOR web-based.Knowledge management process‏‎ (1 link)
  467. FIREMAN‏‎ (1 link)
  468. Capsis.Decision support techniques‏‎ (1 link)
  469. To compare the current and the past quantitative/qualitative parameters of the forest, great effort.Description of DSS development‏‎ (1 link)
  470. Missions have to be completed and reported no later than 28ht of February‏‎ (1 link)
  471. EUIR‏‎ (1 link)
  472. Dss development process, Models & techniques‏‎ (1 link)
  473. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Support of social participation‏‎ (1 link)
  474. It would have been better to involve some end users at earlier stages of the system development.Knowledge management process‏‎ (1 link)
  475. United States-Boise-Payette-Sawtooth National Forest Plan.Description of DSS development‏‎ (1 link)
  476. Multiple DSS are often needed to meet complex needs.Knowledge management process‏‎ (1 link)
  477. FMS 2.5‏‎ (1 link)
  478. Sweden-The history of a successfull forest DSS in Sweden.Knowledge management process‏‎ (1 link)
  479. LANDIS.Support of social participation‏‎ (1 link)
  480. Using Actor Network Theory in the design stage can help in understanding the dynamism of the network.Description of DSS development‏‎ (1 link)
  481. OpTimber-LP.Knowledge management process‏‎ (1 link)
  482. Research institution‏‎ (1 link)
  483. Afonso VI of Portugal‏‎ (1 link)
  484. Portugal-A Decision Support System for eucalypt forest management under climate change scenarios.Knowledge management process‏‎ (1 link)
  485. Enlarge the decision space by generating a large set of potential management alternatives.Decision support techniques‏‎ (1 link)
  486. Peter II of Portugal‏‎ (1 link)
  487. Question: Is it important to organize an efficient communication and coordination among the team members?‏‎ (1 link)
  488. The adoption of the collaborative learning method made possible to gradually select the conceptual.Support of social participation‏‎ (1 link)

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