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Showing below up to 250 results in range #51 to #300.

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  1. Effects of data quality‏‎ (4 links)
  2. Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company‏‎ (4 links)
  3. …‏‎ (4 links)
  4. Electronic spreadsheets‏‎ (4 links)
  5. Effects of models‏‎ (4 links)
  6. Biodiversity‏‎ (4 links)
  7. Germany:Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (4 links)
  8. Conservation value‏‎ (4 links)
  9. STANDPACK‏‎ (4 links)
  10. Simosol‏‎ (4 links)
  11. The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest‏‎ (4 links)
  12. StandSIMOPT‏‎ (4 links)
  13. T2‏‎ (4 links)
  14. Instituto Superior de Agronomia‏‎ (3 links)
  15. Participative modelling of long-term wood production in the forest complex ‘Bosland’‏‎ (3 links)
  16. Supporting a multi stakeholders decision process in a Portuguese National Forest‏‎ (3 links)
  17. What-if analysis‏‎ (3 links)
  18. Belgium-Participative modelling of long-term wood production in the forest complex Bosland‏‎ (3 links)
  19. A Decision Support System for eucalypt forest management under climate change scenarios‏‎ (3 links)
  20. DSS development‏‎ (3 links)
  21. Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (3 links)
  22. SAPPI FMS‏‎ (3 links)
  23. /sandbox‏‎ (3 links)
  24. Type:Email‏‎ (3 links)
  25. Institutionalization‏‎ (3 links)
  26. SIMANFOR‏‎ (3 links)
  27. An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change‏‎ (3 links)
  28. /testcases‏‎ (3 links)
  29. Norwegian University of Life Sciences‏‎ (3 links)
  30. Universidade Técnica de Lisboa.‏‎ (3 links)
  31. The development and introduction of versatile DSS in Sweden‏‎ (3 links)
  32. Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites‏‎ (3 links)
  33. Template:Documentation/docname‏‎ (3 links)
  34. Graphics‏‎ (3 links)
  35. The forest plan revision process in the Okanogan Wenatchee National Forest‏‎ (3 links)
  36. UML‏‎ (3 links)
  37. Template:Pp-meta‏‎ (3 links)
  38. Boise-Payette-Sawtooth National Forest Plan‏‎ (3 links)
  39. Intelligent agent‏‎ (3 links)
  40. The history of a successfull forest DSS in Sweden‏‎ (3 links)
  41. Syunev 2004‏‎ (3 links)
  42. Improving forestry extension services for small-scale private landowners‏‎ (3 links)
  43. AS‏‎ (3 links)
  44. Integrating an ecosystem model into SADfLOR Decision Support platform for optimal forest management planning under changing climate in boreal conditions.‏‎ (3 links)
  45. Watershed Condition Assessment for the Northwest Forest Plan‏‎ (3 links)
  46. Mushrooms‏‎ (3 links)
  47. Centro de Estudos Florestais‏‎ (3 links)
  48. USDA Forest Service‏‎ (3 links)
  49. Modular Forest Management DSS in NZ‏‎ (3 links)
  50. T4‏‎ (3 links)
  51. SOSKLIMA‏‎ (3 links)
  52. Form:Case study‏‎ (3 links)
  53. EcologicalSiteClassification.Software‏‎ (2 links)
  54. ---‏‎ (2 links)
  55. Heureka.Knowledge management process‏‎ (2 links)
  56. Enterprise Architecture‏‎ (2 links)
  57. Template:Transclude‏‎ (2 links)
  58. ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region‏‎ (2 links)
  59. JOVOKEP‏‎ (2 links)
  60. Developing a collaborative management plan for the NIFP in Vale do Sousa‏‎ (2 links)
  61. 1) user requirements analysis following Delphi approach‏‎ (2 links)
  62. SADfLOR web-based.Decision support techniques‏‎ (2 links)
  63. MatrixGen.Software‏‎ (2 links)
  64. Allocation of slope protection measures‏‎ (2 links)
  65. GIS and ME‏‎ (2 links)
  66. ForestGales.Software‏‎ (2 links)
  67. KUBIK.Software‏‎ (2 links)
  68. Gaya - SGIS‏‎ (2 links)
  69. 2) CA‏‎ (2 links)
  70. PrOFA‏‎ (2 links)
  71. TAKARNET‏‎ (2 links)
  72. MAPSS.Software‏‎ (2 links)
  73. 3) version control and buck tracking system‏‎ (2 links)
  74. PractiSFM.Software‏‎ (2 links)
  75. Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non‏‎ (2 links)
  76. SADPOF.Software identification‏‎ (2 links)
  77. GIS‏‎ (2 links)
  78. Sustainable Management of Mediterranean Forest: Valencian Community Case‏‎ (2 links)
  79. SCRUM/Agile‏‎ (2 links)
  80. Wolschart‏‎ (2 links)
  81. Institute of Silviculture‏‎ (2 links)
  82. Cork‏‎ (2 links)
  83. FVS.Software‏‎ (2 links)
  84. Forester GIS‏‎ (2 links)
  85. 4) iterative development since 2007 with permanent testing and user feed-back‏‎ (2 links)
  86. SADfLOR is a web-based tool having for this reason no software requirements.‏‎ (2 links)
  87. Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company‏‎ (2 links)
  88. To be filled‏‎ (2 links)
  89. Integrating wood quality considerations in landscape-level forest planning‏‎ (2 links)
  90. System requirement and design‏‎ (2 links)
  91. 5) Used for regional planning‏‎ (2 links)
  92. SIGFOR.Software‏‎ (2 links)
  93. PractiSFM multi-resource inventory and decision support for private forest owners‏‎ (2 links)
  94. RODAL-ARBOREX‏‎ (2 links)
  95. Tobe filled‏‎ (2 links)
  96. LANDIS.Software‏‎ (2 links)
  97. ESC.Software‏‎ (2 links)
  98. BoLa a specific sDSS to support land use planning in Flanders‏‎ (2 links)
  99. A comprehensive system for forest management planning in Trentino Province‏‎ (2 links)
  100. 6) Version management and feed-back collection handled by the software enterprise PiSolution GmbH‏‎ (2 links)
  101. SILVAH.Software‏‎ (2 links)
  102. FIS‏‎ (2 links)
  103. GBNL‏‎ (2 links)
  104. ETCAP‏‎ (2 links)
  105. 7) now adaptation for land use planning in Western Africa‏‎ (2 links)
  106. SIMfLOR‏‎ (2 links)
  107. HedeDanmark‏‎ (2 links)
  108. User training individual to provide optimal mix of Apps‏‎ (2 links)
  109. WDS.Software‏‎ (2 links)
  110. NED.Software‏‎ (2 links)
  111. DSS Template‏‎ (2 links)
  112. US Department of Agriculture - Forest Service‏‎ (2 links)
  113. Bottom up approach in designing software architecture and features (OOP)‏‎ (2 links)
  114. Pri.For.Man DSS.Software‏‎ (2 links)
  115. ZEUS‏‎ (2 links)
  116. Capsis.Software‏‎ (2 links)
  117. Example DSS/SHRIMP‏‎ (2 links)
  118. Optimal.Software‏‎ (2 links)
  119. Coming soon...‏‎ (2 links)
  120. ForMIS.Software‏‎ (2 links)
  121. Developing a management plan for the CHAMUSCA county‏‎ (2 links)
  122. SADfLOR v pp 1.0‏‎ (2 links)
  123. New Zealand-Modular Forest Management DSS in NZ.Support of social participation‏‎ (1 link)
  124. Afonso II of Portugal‏‎ (1 link)
  125. Sample DSS with semantic form‏‎ (1 link)
  126. Pedro I of Brazil‏‎ (1 link)
  127. SIMPLOT‏‎ (1 link)
  128. Finland-Strategic planning at the national forest administration.Description of DSS development‏‎ (1 link)
  129. Analysis at the landscape level allowed the integration of concerns about multiple resources as well.Knowledge management process‏‎ (1 link)
  130. The adoption of the collaborative learning method made possible to gradually select the conceptual.Decision support techniques‏‎ (1 link)
  131. Providing procedures and structure for data flow from selection of field sample, performing field.Support of social participation‏‎ (1 link)
  132. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley.Decision support techniques‏‎ (1 link)
  133. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model.Support of social participation‏‎ (1 link)
  134. SWAP‏‎ (1 link)
  135. The very easy user-friendly interface of the software and the clearness of method can be exploited.Knowledge management process‏‎ (1 link)
  136. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Description of DSS development‏‎ (1 link)
  137. IFORIS‏‎ (1 link)
  138. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Description of DSS development‏‎ (1 link)
  139. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Decision support techniques‏‎ (1 link)
  140. Italy-Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites.Knowledge management process‏‎ (1 link)
  141. ChangeSMWPageID". Database returned error "1146: Table 'forestdss wiki.mw smw fpt askdu' doesn't exist (localhost)".‏‎ (1 link)
  142. Mule deer (Odocoileus hemionus)‏‎ (1 link)
  143. DSS helped document and apply decision criteria consistently, and therefore produced a more.Support of social participation‏‎ (1 link)
  144. Swedish University of Agricultural Sciences (SLU)‏‎ (1 link)
  145. MatrixGen.Knowledge management process‏‎ (1 link)
  146. CACoMLa‏‎ (1 link)
  147. University of Copenhagen‏‎ (1 link)
  148. Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the.Support of social participation‏‎ (1 link)
  149. Ferdinand I of Portugal‏‎ (1 link)
  150. Portugal-Developing a management plan for the CHAMUSCA county.Description of DSS development‏‎ (1 link)
  151. Question: How is it possible to facilitate the design of user-oriented interfaces?‏‎ (1 link)
  152. ForestGales.Knowledge management process‏‎ (1 link)
  153. Austria-Improving forestry extension services for small-scale private landowners.Support of social participation‏‎ (1 link)
  154. The analysis team used internal prototyping, which helped train the staff and identify possible.Knowledge management process‏‎ (1 link)
  155. NeuroForest‏‎ (1 link)
  156. WINALP‏‎ (1 link)
  157. System costs (personnel expenditure‏‎ (1 link)
  158. 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)
  159. SILVAH.Description of DSS development‏‎ (1 link)
  160. Property:Has working group theme:Models & techniques‏‎ (1 link)
  161. HylobiusMSS‏‎ (1 link)
  162. Iterative Ideal Point Tresholding (IIPT) optimization (Estrella‏‎ (1 link)
  163. 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)
  164. Modular approach helpful in assisting industry uptake.Description of DSS development‏‎ (1 link)
  165. Use of adequate DSS development methodology.Decision support techniques‏‎ (1 link)
  166. Stakeholder involvement.Decision support techniques‏‎ (1 link)
  167. Italy A comprehensive system for the forest management planning in Trentino Province‏‎ (1 link)
  168. Need for new models for the later use of a tool.Description of DSS development‏‎ (1 link)
  169. Spatial assignment of ecosystem services‏‎ (1 link)
  170. In this paper‏‎ (1 link)
  171. ZEF C: Department of Ecology and Natural Resources Management‏‎ (1 link)
  172. Enlarged decision space.Decision support techniques‏‎ (1 link)
  173. Adapting the software to make it possible to easily include also the output of other mechanistic.Support of social participation‏‎ (1 link)
  174. John VI of Portugal‏‎ (1 link)
  175. Portugal-Supporting a multi stakeholders decision process in a Portuguese National Forest.Decision support techniques‏‎ (1 link)
  176. FVS.Decision support techniques‏‎ (1 link)
  177. An iterative process of presenting results to subject matter experts enabled them to better.Support of social participation‏‎ (1 link)
  178. The DSS usage enabled the planning team to measure the achievement of the restoration goals.Knowledge management process‏‎ (1 link)
  179. Provide missing help/documentation service.Description of DSS development‏‎ (1 link)
  180. HaRPSS‏‎ (1 link)
  181. The development of large and enduring systems requires a long term approach.Description of DSS development‏‎ (1 link)
  182. Results are always strongly dependent on the quality of the underlying data.Knowledge management process‏‎ (1 link)
  183. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is.Description of DSS development‏‎ (1 link)
  184. François de Coligny‏‎ (1 link)
  185. The use of the DSS improved communication among the planning team by providing a framework of the.Decision support techniques‏‎ (1 link)
  186. Simosol Oy‏‎ (1 link)
  187. HylobiusManagementSupportSystem.Knowledge management process‏‎ (1 link)
  188. Participation, Knowledge management‏‎ (1 link)
  189. Population model‏‎ (1 link)
  190. Italy-A comprehensive system for forest management planning in Trentino Province.Knowledge management process‏‎ (1 link)
  191. Template:DSS description, Scope of the tool‏‎ (1 link)
  192. Users preferred enhanced functionality rather than useability.Decision support techniques‏‎ (1 link)
  193. University of Natural Resources and Life Sciences (BOKU)‏‎ (1 link)
  194. Stakeholders contribution in ranking forest functions.Support of social participation‏‎ (1 link)
  195. Lack of proper documentation and support services (manual, website, etc) can severely limit the.Knowledge management process‏‎ (1 link)
  196. Neighbourhood interrelations should be included in the generator.Decision support techniques‏‎ (1 link)
  197. Risk model‏‎ (1 link)
  198. SMART - simple multiple attribute ranking‏‎ (1 link)
  199. Scion‏‎ (1 link)
  200. EcologicalSiteClassification.Support of social participation‏‎ (1 link)
  201. Afonso IV of Portugal‏‎ (1 link)
  202. Portugal-A Decision Support System for eucalypt forest management under climate change scenarios.Decision support techniques‏‎ (1 link)
  203. FEIDESSYS‏‎ (1 link)
  204. Pedro V of Portugal‏‎ (1 link)
  205. PractiSFM.Description of DSS development‏‎ (1 link)
  206. Finland-Strategic planning at the national forest administration.Knowledge management process‏‎ (1 link)
  207. Analysis at the landscape level allowed the integration of concerns about multiple resources as well.Support of social participation‏‎ (1 link)
  208. The adoption of the collaborative learning method made possible to gradually select the conceptual.Description of DSS development‏‎ (1 link)
  209. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley.Description of DSS development‏‎ (1 link)
  210. The scope of the modeling project can change significantly during the project.Decision support techniques‏‎ (1 link)
  211. Pine cones‏‎ (1 link)
  212. Heureka RegWise‏‎ (1 link)
  213. The very easy user-friendly interface of the software and the clearness of method can be exploited.Support of social participation‏‎ (1 link)
  214. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and.Knowledge management process‏‎ (1 link)
  215. WESTFOREST‏‎ (1 link)
  216. United States-The forest plan revision process in the Okanogan Wenatchee National Forest.Knowledge management process‏‎ (1 link)
  217. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case.Description of DSS development‏‎ (1 link)
  218. Italy-Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites.Support of social participation‏‎ (1 link)
  219. Multiple DSS are often needed to meet complex needs.Decision support techniques‏‎ (1 link)
  220. Still unknown‏‎ (1 link)
  221. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Decision support techniques‏‎ (1 link)
  222. Sweden-The history of a successfull forest DSS in Sweden.Decision support techniques‏‎ (1 link)
  223. UNISOMA‏‎ (1 link)
  224. End user engagement throughout the development and deployment cycle is very important.Decision support techniques‏‎ (1 link)
  225. Henry of Portugal‏‎ (1 link)
  226. Portugal-Developing a management plan for the CHAMUSCA county.Knowledge management process‏‎ (1 link)
  227. 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)
  228. The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain.Decision support techniques‏‎ (1 link)
  229. Projection of stand development increases knowledge base.Decision support techniques‏‎ (1 link)
  230. Forestry extension services‏‎ (1 link)
  231. The analysis team used internal prototyping, which helped train the staff and identify possible.Support of social participation‏‎ (1 link)
  232. Regular ongoing engagement helped maintain interest of users.Decision support techniques‏‎ (1 link)
  233. WinForstPro‏‎ (1 link)
  234. At the Department of Forest and Soil Sciences‏‎ (1 link)
  235. 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)
  236. SILVAH.Knowledge management process‏‎ (1 link)
  237. EIR‏‎ (1 link)
  238. Property:Has working group theme:Participation‏‎ (1 link)
  239. Pest control activity scheduling‏‎ (1 link)
  240. J. Comparison of three ideal point-based multi-criteria decision methods for afforestation planning. Forests 2014‏‎ (1 link)
  241. 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)
  242. Modular approach helpful in assisting industry uptake.Knowledge management process‏‎ (1 link)
  243. Use of adequate DSS development methodology.Description of DSS development‏‎ (1 link)
  244. Property:Additional information‏‎ (1 link)
  245. Stakeholder involvement.Description of DSS development‏‎ (1 link)
  246. Need for new models for the later use of a tool.Knowledge management process‏‎ (1 link)
  247. WebCorky.Decision support techniques‏‎ (1 link)
  248. CommonGIS‏‎ (1 link)
  249. No full DSS was used‏‎ (1 link)
  250. Pareto Frontier Techniques are useful for multi-criteria forest management planning.Decision support techniques‏‎ (1 link)

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