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  1. End user engagement throughout the development and deployment cycle is very important.Support of social participation‏‎ (1 link)
  2. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Decision support techniques‏‎ (1 link)
  3. A more informative output should be generated with clear graphs and maps indicating long-term.Knowledge management process‏‎ (1 link)
  4. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Decision support techniques‏‎ (1 link)
  5. Question: Is it important to define the responsibilities and ownership for the DSS development process?‏‎ (1 link)
  6. The user has to be aware of the possibly large impact that the chosen land indicators and threshold.Support of social participation‏‎ (1 link)
  7. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Knowledge management process‏‎ (1 link)
  8. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Description of DSS development‏‎ (1 link)
  9. Forest managers have to analyze how their forest management interventions effect the landscape.Description of DSS development‏‎ (1 link)
  10. Wildalpen/KATER II‏‎ (1 link)
  11. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Knowledge management process‏‎ (1 link)
  12. Joen Forest Program Consulting‏‎ (1 link)
  13. Getting joint funding from both the forest and environmental sectors can be a successfull for.Knowledge management process‏‎ (1 link)
  14. University of Natural Resources and Life Sciences Vienna‏‎ (1 link)
  15. Sweden-The development and introduction of versatile DSS in Sweden.Description of DSS development‏‎ (1 link)
  16. New Zealand-Modular Forest Management DSS in NZ.Decision support techniques‏‎ (1 link)
  17. MEPAR‏‎ (1 link)
  18. Dss development process‏‎ (1 link)
  19. What-if‏‎ (1 link)
  20. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Knowledge management process‏‎ (1 link)
  21. It would have been better to involve some end users at earlier stages of the system development.Decision support techniques‏‎ (1 link)
  22. OPTICORT‏‎ (1 link)
  23. Maria II of Portugal‏‎ (1 link)
  24. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company.Support of social participation‏‎ (1 link)
  25. Detail‏‎ (1 link)
  26. Finnish Forest Research Institute‏‎ (1 link)
  27. Herbicide advisor‏‎ (1 link)
  28. 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)
  29. Forest register‏‎ (1 link)
  30. The software did not provide much support for formatting of the outputs in a format that could be.Support of social participation‏‎ (1 link)
  31. Afforestion and deforestation options should be included in the management options.Description of DSS development‏‎ (1 link)
  32. SIGFOR.Knowledge management process‏‎ (1 link)
  33. Use of adequate DSS development methodology.Support of social participation‏‎ (1 link)
  34. FVS.Support of social participation‏‎ (1 link)
  35. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Knowledge management process‏‎ (1 link)
  36. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Decision support techniques‏‎ (1 link)
  37. 3222–3240)‏‎ (1 link)
  38. WebCorky.Knowledge management process‏‎ (1 link)
  39. Model building was rapid, it was assembling the data that took by far the most time.Knowledge management process‏‎ (1 link)
  40. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Knowledge management process‏‎ (1 link)
  41. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’.Support of social participation‏‎ (1 link)
  42. Spatial variation between regions led to the development of different regional models, which led to.Description of DSS development‏‎ (1 link)
  43. Growth and Yield models are a key component of forest DSS.Description of DSS development‏‎ (1 link)
  44. Heureka PlanWise‏‎ (1 link)
  45. Operational aspects of the system should be enhanced.Knowledge management process‏‎ (1 link)
  46. Denis of Portugal‏‎ (1 link)
  47. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Knowledge management process‏‎ (1 link)
  48. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Description of DSS development‏‎ (1 link)
  49. DSS allowed to explain better some technical concepts to non-professional stakeholders.Description of DSS development‏‎ (1 link)
  50. Sancho II of Portugal‏‎ (1 link)
  51. SOK‏‎ (1 link)
  52. The DSS models built must match the knowledge of the local forest managers, so the ability for local.Support of social participation‏‎ (1 link)
  53. 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)
  54. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Description of DSS development‏‎ (1 link)
  55. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Description of DSS development‏‎ (1 link)
  56. The definition of standardized and specific criteria for selecting and zoning forest compartment.Knowledge management process‏‎ (1 link)
  57. Requirement of specialized skills can discourage some potential users.Support of social participation‏‎ (1 link)
  58. SkogForsk‏‎ (1 link)
  59. The use of structured output (maps, tables and charts) makes the methodology and the results more.Description of DSS development‏‎ (1 link)
  60. SIMO.mustikka‏‎ (1 link)
  61. Users preferred enhanced functionality rather than useability.Support of social participation‏‎ (1 link)
  62. MONSU‏‎ (1 link)
  63. As the core of forest DSS are models describing the development of trees and stands (growth and.Description of DSS development‏‎ (1 link)
  64. DSS for forest road network extension‏‎ (1 link)
  65. Template:DSS description, Models and methods, MBMS, decision support techniques‏‎ (1 link)
  66. University of Bonn‏‎ (1 link)
  67. Data mining‏‎ (1 link)
  68. Stakeholders contribution in ranking forest functions.Decision support techniques‏‎ (1 link)
  69. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Description of DSS development‏‎ (1 link)
  70. SLU‏‎ (1 link)
  71. PiSolution GmbH‏‎ (1 link)
  72. Windthrow risk model‏‎ (1 link)
  73. John II of Portugal‏‎ (1 link)
  74. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Description of DSS development‏‎ (1 link)
  75. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Knowledge management process‏‎ (1 link)
  76. Institute of Physico-Chemical and Biological Problems in Soil Science RAS‏‎ (1 link)
  77. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Knowledge management process‏‎ (1 link)
  78. Providing procedures and structure for data flow from selection of field sample, performing field.Description of DSS development‏‎ (1 link)
  79. STANDPAK‏‎ (1 link)
  80. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Description of DSS development‏‎ (1 link)
  81. A more informative output should be generated with clear graphs and maps indicating long-term.Support of social participation‏‎ (1 link)
  82. Voronov 2010‏‎ (1 link)
  83. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Description of DSS development‏‎ (1 link)
  84. Question: Is it important to facilitate a process for the problem definition before starting design and programming?‏‎ (1 link)
  85. The very easy user-friendly interface of the software and the clearness of method can be exploited.Decision support techniques‏‎ (1 link)
  86. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders.Support of social participation‏‎ (1 link)
  87. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Knowledge management process‏‎ (1 link)
  88. Forest managers have to analyze how their forest management interventions effect the landscape.Knowledge management process‏‎ (1 link)
  89. Tosia‏‎ (1 link)
  90. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change.Support of social participation‏‎ (1 link)
  91. Mind mapping‏‎ (1 link)
  92. Getting joint funding from both the forest and environmental sectors can be a successfull for.Support of social participation‏‎ (1 link)
  93. Patchworks-TM‏‎ (1 link)
  94. Sweden-The development and introduction of versatile DSS in Sweden.Knowledge management process‏‎ (1 link)
  95. New Zealand-Modular Forest Management DSS in NZ.Description of DSS development‏‎ (1 link)
  96. CASMOFOR‏‎ (1 link)
  97. Dss development process, Knowledge management‏‎ (1 link)
  98. Some‏‎ (1 link)
  99. The design process was rather ad-hoc and sequential, as a result of step-wise funding becoming.Support of social participation‏‎ (1 link)
  100. It would have been better to involve some end users at earlier stages of the system development.Description of DSS development‏‎ (1 link)
  101. Planex‏‎ (1 link)
  102. Maria I of Portugal‏‎ (1 link)
  103. Bilberry‏‎ (1 link)
  104. The analysis team used internal prototyping, which helped train the staff and identify possible.Decision support techniques‏‎ (1 link)
  105. FBVM‏‎ (1 link)
  106. Involvement‏‎ (1 link)
  107. Afforestion and deforestation options should be included in the management options.Knowledge management process‏‎ (1 link)
  108. SIGFOR.Support of social participation‏‎ (1 link)
  109. Use of the DSS has been considered successful by the participating organizations, even though it has.Decision support techniques‏‎ (1 link)
  110. Finland-Integrating wood quality considerations in landscape-level forest planning.Decision support techniques‏‎ (1 link)
  111. To meet the needs of customer - the Forest Service - and to obtain satisfying results the.Support of social participation‏‎ (1 link)
  112. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Description of DSS development‏‎ (1 link)
  113. 5‏‎ (1 link)
  114. WebCorky.Support of social participation‏‎ (1 link)
  115. Model building was rapid, it was assembling the data that took by far the most time.Support of social participation‏‎ (1 link)
  116. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice.Support of social participation‏‎ (1 link)
  117. Spatial variation between regions led to the development of different regional models, which led to.Knowledge management process‏‎ (1 link)
  118. NED.Support of social participation‏‎ (1 link)
  119. Growth and Yield models are a key component of forest DSS.Knowledge management process‏‎ (1 link)
  120. ProdMod‏‎ (1 link)
  121. Operational aspects of the system should be enhanced.Support of social participation‏‎ (1 link)
  122. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners.Decision support techniques‏‎ (1 link)
  123. Edward of Portugal‏‎ (1 link)
  124. Portugal-Developing a collaborative management plan for the NIFP in Vale do Sousa.Support of social participation‏‎ (1 link)
  125. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Knowledge management process‏‎ (1 link)
  126. DSS allowed to explain better some technical concepts to non-professional stakeholders.Knowledge management process‏‎ (1 link)
  127. Sancho I of Portugal‏‎ (1 link)
  128. Despite the widely use and acceptance of the DSS there was still a lack of expertise to.Decision support techniques‏‎ (1 link)
  129. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Decision support techniques‏‎ (1 link)
  130. Application of the DSS‏‎ (1 link)
  131. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Knowledge management process‏‎ (1 link)
  132. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Knowledge management process‏‎ (1 link)
  133. The definition of standardized and specific criteria for selecting and zoning forest compartment.Support of social participation‏‎ (1 link)
  134. Results are always strongly dependent on the quality of the underlying data.Decision support techniques‏‎ (1 link)
  135. United States-Boise-Payette-Sawtooth National Forest Plan.Decision support techniques‏‎ (1 link)
  136. Università della Tuscia - Italy‏‎ (1 link)
  137. The use of structured output (maps, tables and charts) makes the methodology and the results more.Knowledge management process‏‎ (1 link)
  138. SIMO.puolukka‏‎ (1 link)
  139. Using Actor Network Theory in the design stage can help in understanding the dynamism of the network.Decision support techniques‏‎ (1 link)
  140. HERO‏‎ (1 link)
  141. As the core of forest DSS are models describing the development of trees and stands (growth and.Knowledge management process‏‎ (1 link)
  142. FORPLAN‏‎ (1 link)
  143. Template:DSS description, Name, responsible organisation and contact person‏‎ (1 link)
  144. University of Dresden‏‎ (1 link)
  145. Stakeholders contribution in ranking forest functions.Description of DSS development‏‎ (1 link)
  146. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Knowledge management process‏‎ (1 link)
  147. Supports Multi Criteria Decision Making (MCDA by AHP and SMART)‏‎ (1 link)
  148. AHP has been implemented in the Heureka PlanEval application.‏‎ (1 link)
  149. Some automatical features (help) are yet included‏‎ (1 link)
  150. It is necessary to know which data will be use as variables in the models before designing the DSS.Decision support techniques‏‎ (1 link)
  151. John IV of Portugal‏‎ (1 link)
  152. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Knowledge management process‏‎ (1 link)
  153. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region.Support of social participation‏‎ (1 link)
  154. LANDIS.Support of social participation‏‎ (1 link)
  155. Research institution‏‎ (1 link)
  156. The activation of an iterative process through periodical meetings permitted to all the stakeholders.Support of social participation‏‎ (1 link)
  157. Providing procedures and structure for data flow from selection of field sample, performing field.Knowledge management process‏‎ (1 link)
  158. Enlarge the decision space by generating a large set of potential management alternatives.Decision support techniques‏‎ (1 link)
  159. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Knowledge management process‏‎ (1 link)
  160. Forest fire monitoring information management‏‎ (1 link)
  161. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Knowledge management process‏‎ (1 link)
  162. Question: Is it important to organize an efficient communication and coordination among the team members?‏‎ (1 link)
  163. The very easy user-friendly interface of the software and the clearness of method can be exploited.Description of DSS development‏‎ (1 link)
  164. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Decision support techniques‏‎ (1 link)
  165. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.Support of social participation‏‎ (1 link)
  166. Forest managers have to analyze how their forest management interventions effect the landscape.Support of social participation‏‎ (1 link)
  167. WWG Manager‏‎ (1 link)
  168. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural‏‎ (1 link)
  169. Firecol‏‎ (1 link)
  170. FIREMAN‏‎ (1 link)
  171. Capsis.Decision support techniques‏‎ (1 link)
  172. Sweden-The development and introduction of versatile DSS in Sweden.Support of social participation‏‎ (1 link)
  173. New Zealand-Modular Forest Management DSS in NZ.Knowledge management process‏‎ (1 link)
  174. EUIR‏‎ (1 link)
  175. Dss development process, Models & techniques‏‎ (1 link)
  176. Afonso III of Portugal‏‎ (1 link)
  177. It would have been better to involve some end users at earlier stages of the system development.Knowledge management process‏‎ (1 link)
  178. FMS 2.5‏‎ (1 link)
  179. Miguel of Portugal‏‎ (1 link)
  180. Wise Forms‏‎ (1 link)
  181. Agricultural Research Council (CRA)‏‎ (1 link)
  182. Cowberry‏‎ (1 link)
  183. The analysis team used internal prototyping, which helped train the staff and identify possible.Description of DSS development‏‎ (1 link)
  184. EELIS‏‎ (1 link)
  185. 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)
  186. Afforestion and deforestation options should be included in the management options.Support of social participation‏‎ (1 link)
  187. SILVAH.Decision support techniques‏‎ (1 link)
  188. Use of the DSS has been considered successful by the participating organizations, even though it has.Description of DSS development‏‎ (1 link)
  189. Finland-Integrating wood quality considerations in landscape-level forest planning.Description of DSS development‏‎ (1 link)
  190. Protected species and habitat information‏‎ (1 link)
  191. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be.Knowledge management process‏‎ (1 link)
  192. D.; Van Orshoven‏‎ (1 link)
  193. Involving local stakeholders in ranking the functions allowed to show them tangibly how their‏‎ (1 link)
  194. Modular approach helpful in assisting industry uptake.Decision support techniques‏‎ (1 link)
  195. Landwirtschaft‏‎ (1 link)
  196. Brazil: Short rotation eucalyptus pulp wood plantations.Decision support techniques‏‎ (1 link)
  197. Spatial variation between regions led to the development of different regional models, which led to.Support of social participation‏‎ (1 link)
  198. Need for new models for the later use of a tool.Decision support techniques‏‎ (1 link)
  199. Growth and Yield models are a key component of forest DSS.Support of social participation‏‎ (1 link)
  200. SORSIM‏‎ (1 link)
  201. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners.Description of DSS development‏‎ (1 link)
  202. Ferdinand II of Portugal‏‎ (1 link)
  203. Portugal-Developing a management plan for the CHAMUSCA county.Decision support techniques‏‎ (1 link)
  204. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non.Support of social participation‏‎ (1 link)
  205. DSS allowed to explain better some technical concepts to non-professional stakeholders.Support of social participation‏‎ (1 link)
  206. Sebastian of Portugal‏‎ (1 link)
  207. Despite the widely use and acceptance of the DSS there was still a lack of expertise to.Description of DSS development‏‎ (1 link)
  208. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Description of DSS development‏‎ (1 link)
  209. Provide missing help/documentation service.Decision support techniques‏‎ (1 link)
  210. Metodology and results are transparent and easy-to-share to non-expert stakeholders.Support of social participation‏‎ (1 link)
  211. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the.Support of social participation‏‎ (1 link)
  212. The development of large and enduring systems requires a long term approach.Decision support techniques‏‎ (1 link)
  213. A financial analysis is an important component in the discussion about the preferences of different.Decision support techniques‏‎ (1 link)
  214. Results are always strongly dependent on the quality of the underlying data.Description of DSS development‏‎ (1 link)
  215. United States-Boise-Payette-Sawtooth National Forest Plan.Description of DSS development‏‎ (1 link)
  216. Università della Tuscia - Università del Molise‏‎ (1 link)
  217. The use of structured output (maps, tables and charts) makes the methodology and the results more.Support of social participation‏‎ (1 link)
  218. SIMO.sienet‏‎ (1 link)
  219. Using Actor Network Theory in the design stage can help in understanding the dynamism of the network.Description of DSS development‏‎ (1 link)
  220. Unnamed MCDS application‏‎ (1 link)
  221. As the core of forest DSS are models describing the development of trees and stands (growth and.Support of social participation‏‎ (1 link)
  222. DSS for brown bear management‏‎ (1 link)
  223. Template:DSS description, Ongoing development‏‎ (1 link)
  224. DSS-WUK‏‎ (1 link)
  225. Stakeholders contribution in ranking forest functions.Knowledge management process‏‎ (1 link)
  226. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use.Support of social participation‏‎ (1 link)
  227. Will be further developed include participatory planning‏‎ (1 link)
  228. Etc) may decrease the number of comparisons‏‎ (1 link)
  229. The manual is currently in development. Support is provided directly by the developers (training courses and technical support).‏‎ (1 link)
  230. 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)
  231. John I of Portugal‏‎ (1 link)
  232. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company.Support of social participation‏‎ (1 link)
  233. ManForFirE‏‎ (1 link)
  234. CRA-MPF - Trento - Italy‏‎ (1 link)
  235. The adoption of the collaborative learning method made possible to gradually select the conceptual.Decision support techniques‏‎ (1 link)
  236. Providing procedures and structure for data flow from selection of field sample, performing field.Support of social participation‏‎ (1 link)
  237. Enlarge the decision space by generating a large set of potential management alternatives.Description of DSS development‏‎ (1 link)
  238. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Support of social participation‏‎ (1 link)
  239. Ongoing development‏‎ (1 link)
  240. SWAP‏‎ (1 link)
  241. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest.Support of social participation‏‎ (1 link)
  242. Question: Is it relevant to consider an adequate programming environment and programming tools for the implementation?‏‎ (1 link)
  243. The very easy user-friendly interface of the software and the clearness of method can be exploited.Knowledge management process‏‎ (1 link)
  244. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Description of DSS development‏‎ (1 link)
  245. WDS.Decision support techniques‏‎ (1 link)
  246. From a management perspective, to avoid the complication of testing something new, the models used.Decision support techniques‏‎ (1 link)
  247. Belgium-BoLa a specific sDSS to support land use planning in Flanders.Decision support techniques‏‎ (1 link)
  248. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Decision support techniques‏‎ (1 link)
  249. Type:Record‏‎ (1 link)
  250. ChangeSMWPageID". Database returned error "1146: Table 'forestdss wiki.mw smw fpt askdu' doesn't exist (localhost)".‏‎ (1 link)

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