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From COST Action FP0804: FORSYS
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  1. Facilitator‏‎ (24 links)
  2. Architecture‏‎ (23 links)
  3. Mixed integer programming‏‎ (23 links)
  4. ClimChAlp‏‎ (23 links)
  5. Transfer‏‎ (22 links)
  6. Metaheuristic algorithm‏‎ (21 links)
  7. Forest (inventory data) information management‏‎ (21 links)
  8. Multi-Criteria Approval‏‎ (21 links)
  9. User:Dominique Weber‏‎ (21 links)
  10. Nonlinear programming‏‎ (21 links)
  11. EFIMOD‏‎ (21 links)
  12. Ireland‏‎ (21 links)
  13. MyTestDSS‏‎ (21 links)
  14. Austria‏‎ (20 links)
  15. Forest landscape development‏‎ (20 links)
  16. Harvest potential assessment‏‎ (20 links)
  17. Exploring options‏‎ (20 links)
  18. Sweden‏‎ (19 links)
  19. CONES‏‎ (19 links)
  20. Hungary‏‎ (19 links)
  21. WIS.2‏‎ (19 links)
  22. None‏‎ (19 links)
  23. LEaRNForME‏‎ (18 links)
  24. MELA‏‎ (18 links)
  25. Knowledge management‏‎ (18 links)
  26. TestDSS‏‎ (18 links)
  27. Belgium-Participative modelling of long-term wood production in the forest complex ‘Bosland’‏‎ (18 links)
  28. United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest‏‎ (18 links)
  29. United States‏‎ (18 links)
  30. Multi-Attribute Utility Theory (MAUT)‏‎ (18 links)
  31. FMPP‏‎ (18 links)
  32. Specification‏‎ (18 links)
  33. New Zealand-Modular Forest Management DSS in NZ‏‎ (17 links)
  34. Switzerland‏‎ (17 links)
  35. Denmark‏‎ (17 links)
  36. United States-The forest plan revision process in the Okanogan Wenatchee National Forest‏‎ (17 links)
  37. Stakeholder group / meeting‏‎ (17 links)
  38. Ireland-PractiSFM multi-resource inventory and decision support for private forest owners‏‎ (17 links)
  39. Monsu‏‎ (17 links)
  40. Unspecified‏‎ (17 links)
  41. Database‏‎ (17 links)
  42. SiWaWa‏‎ (17 links)
  43. SADPOF‏‎ (16 links)
  44. Update‏‎ (16 links)
  45. Evaluation of forest development scenario‏‎ (16 links)
  46. Italy-A comprehensive system for forest management planning in Trentino Province‏‎ (16 links)
  47. United States-Watershed Condition Assessment for the Northwest Forest Plan‏‎ (16 links)
  48. Brazil‏‎ (16 links)
  49. Sweden-The development and introduction of versatile DSS in Sweden‏‎ (16 links)
  50. Non-computerized DSS‏‎ (16 links)
  51. T(ree)‏‎ (15 links)
  52. PEB‏‎ (15 links)
  53. Belgium-BoLa a specific sDSS to support land use planning in Flanders‏‎ (15 links)
  54. Any statistics method‏‎ (15 links)
  55. Data and data management‏‎ (15 links)
  56. Application‏‎ (15 links)
  57. Italy-Analysis of logging residues chain for a sustainable bioenergy production in Alta Val di Non‏‎ (15 links)
  58. United Kingdom‏‎ (15 links)
  59. Evaluating options‏‎ (14 links)
  60. DSS allowed to explain better some technical concepts to non-professional stakeholders‏‎ (14 links)
  61. User defined‏‎ (14 links)
  62. SIPAFIT can act sometimes as a referee to settle arguments among experts, users and stakeholders‏‎ (14 links)
  63. Germany-Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (14 links)
  64. OSMOSE‏‎ (14 links)
  65. VDDT-Path‏‎ (14 links)
  66. PLANFLOR‏‎ (14 links)
  67. Sim4Tree‏‎ (14 links)
  68. Italy-ProgettoBosco a data-driven DSS for forest planning: an application in Abruzzo Region‏‎ (14 links)
  69. Mesta‏‎ (14 links)
  70. Defining the problem‏‎ (14 links)
  71. Italy-Assessing forest functions at stand scale in a sub-regional forest plan in the Dolomites‏‎ (14 links)
  72. EFISCEN‏‎ (14 links)
  73. Finland‏‎ (14 links)
  74. Austria-Improving forestry extension services for small-scale private landowners‏‎ (13 links)
  75. Monitoring and evaluating the outcome‏‎ (13 links)
  76. Embedding a DSS in a GIS software allows obtaining information at different spatial scales using the‏‎ (13 links)
  77. Forest managers have to analyze how their forest management interventions effect the landscape‏‎ (13 links)
  78. Enlarged decision space‏‎ (13 links)
  79. MCDA‏‎ (13 links)
  80. United States-Boise-Payette-Sawtooth National Forest Plan‏‎ (13 links)
  81. Generation‏‎ (13 links)
  82. Norway‏‎ (13 links)
  83. SGIS‏‎ (13 links)
  84. The DSS models built must match the knowledge of the local forest managers, so the ability for local‏‎ (13 links)
  85. End user engagement throughout the development and deployment cycle is very important‏‎ (13 links)
  86. Property:Has working group theme‏‎ (13 links)
  87. TAURON‏‎ (13 links)
  88. PSSis‏‎ (13 links)
  89. An iterative process of presenting results to subject matter experts enabled them to better‏‎ (13 links)
  90. SIMO‏‎ (13 links)
  91. DSS helped document and apply decision criteria consistently, and therefore produced a more‏‎ (13 links)
  92. ToSIA‏‎ (13 links)
  93. A more informative output should be generated with clear graphs and maps indicating long-term‏‎ (13 links)
  94. RODPOST‏‎ (13 links)
  95. Slovenia‏‎ (13 links)
  96. Analytical Hierarchy Process (AHP)‏‎ (13 links)
  97. EcologicalSiteClassification‏‎ (13 links)
  98. Type:Boolean‏‎ (12 links)
  99. PROTEUS‏‎ (12 links)
  100. RPF‏‎ (12 links)
  101. User interface and outputs‏‎ (12 links)
  102. DSS can help in varying the treatment according to more than one forest function‏‎ (12 links)
  103. Running the DSS required special skills, therefore the local planning team required considerable‏‎ (12 links)
  104. MONTE‏‎ (12 links)
  105. SIPAFIT sub-systems have been useful in training activities, and can be very useful to explain and‏‎ (12 links)
  106. Projection of stand development increases knowledge base‏‎ (12 links)
  107. Belgium‏‎ (12 links)
  108. TerEval‏‎ (12 links)
  109. It would have been better to involve some end users at earlier stages of the system development‏‎ (12 links)
  110. To meet the needs of customer - the Forest Service - and to obtain satisfying results the‏‎ (12 links)
  111. Models and methods‏‎ (12 links)
  112. A financial analysis is an important component in the discussion about the preferences of different‏‎ (12 links)
  113. PLANKAT‏‎ (12 links)
  114. Interface‏‎ (12 links)
  115. Analysis at the landscape level allowed the integration of concerns about multiple resources as well‏‎ (12 links)
  116. Adapting the software to make it possible to easily include also the output of other mechanistic‏‎ (12 links)
  117. Spatial variation between regions led to the development of different regional models, which led to‏‎ (12 links)
  118. Despite the widely use and acceptance of the DSS there was still a lack of expertise to‏‎ (12 links)
  119. Getting joint funding from both the forest and environmental sectors can be a successfull for‏‎ (12 links)
  120. Afforestion and deforestation options should be included in the management options‏‎ (12 links)
  121. An optimisation module comparing alternative scenarios based on multi-criteria analysis should be‏‎ (11 links)
  122. Neighbourhood interrelations should be included in the generator‏‎ (11 links)
  123. Provide a simple version of the DSS, which new users can try out and learn quickly‏‎ (11 links)
  124. The ProgettoBosco working methodology, based on cooperation, successive approximations and‏‎ (11 links)
  125. The DSS gave the forest manager the opportunity to experiment how their emphasis towards certain‏‎ (11 links)
  126. Germany-Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley‏‎ (11 links)
  127. Development‏‎ (11 links)
  128. Interpretative case studies can help reduce the gap between research and practice‏‎ (11 links)
  129. Users preferred enhanced functionality rather than useability‏‎ (11 links)
  130. OpTimber-LP‏‎ (11 links)
  131. ESC‏‎ (11 links)
  132. Capabilities‏‎ (11 links)
  133. Stakeholders contribution in ranking forest functions‏‎ (11 links)
  134. Project management‏‎ (11 links)
  135. SØK‏‎ (11 links)
  136. Knowledge Identification‏‎ (11 links)
  137. New Zealand‏‎ (11 links)
  138. Sweden-The history of a successfull forest DSS in Sweden‏‎ (11 links)
  139. NorFor‏‎ (11 links)
  140. Using Actor Network Theory in the design stage can help in understanding the dynamism of the network‏‎ (11 links)
  141. AVVIRK-2000‏‎ (11 links)
  142. The fact that ProgettoBosco is conceived according to the criteria and indicators of sustainable‏‎ (10 links)
  143. Regular ongoing engagement helped maintain interest of users‏‎ (10 links)
  144. The use of structured output (maps, tables and charts) makes the methodology and the results more‏‎ (10 links)
  145. Chile‏‎ (10 links)
  146. The scope of the modeling project can change significantly during the project‏‎ (10 links)
  147. The software did not provide much support for formatting of the outputs in a format that could be‏‎ (10 links)
  148. OffREval‏‎ (10 links)
  149. Problem specification‏‎ (10 links)
  150. Results are always strongly dependent on the quality of the underlying data‏‎ (10 links)
  151. Goal programming (GP)‏‎ (10 links)
  152. Category:Decision support system‏‎ (10 links)
  153. Need of a moderator function‏‎ (10 links)
  154. Dynamic programming‏‎ (10 links)
  155. The use of the DSS improved communication among the planning team by providing a framework of the‏‎ (10 links)
  156. Basic structure‏‎ (10 links)
  157. Design‏‎ (10 links)
  158. As the core of forest DSS are models describing the development of trees and stands (growth and‏‎ (10 links)
  159. The adoption of the collaborative learning method made possible to gradually select the conceptual‏‎ (10 links)
  160. Identification‏‎ (10 links)
  161. MAPSS‏‎ (10 links)
  162. It should be possible to specify the rotation time of a species not only by age but also by target‏‎ (10 links)
  163. Use of the DSS has been considered successful by the participating organizations, even though it has‏‎ (10 links)
  164. Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the‏‎ (10 links)
  165. PractiSFM‏‎ (10 links)
  166. The tracing of the actor network supported the identification of the key actors influencing the collaborative DSS implementation and institutionalization‏‎ (10 links)
  167. Utilities‏‎ (10 links)
  168. Estonia‏‎ (10 links)
  169. Harvesting technology selection‏‎ (10 links)
  170. 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 (10 links)
  171. Portugal-Supporting a multi stakeholders decision process in a Portuguese National Forest‏‎ (10 links)
  172. Requirement of specialized skills can discourage some potential users‏‎ (10 links)
  173. Projmgt‏‎ (10 links)
  174. The kinds of DSS traditionally used to calculate timber harvest levels are now being used to model‏‎ (10 links)
  175. The analysis team used internal prototyping, which helped train the staff and identify possible‏‎ (10 links)
  176. Knowledge Storage‏‎ (10 links)
  177. From a management perspective, to avoid the complication of testing something new, the models used‏‎ (10 links)
  178. It is necessary to know which data will be use as variables in the models before designing the DSS‏‎ (9 links)
  179. Plan the system architecture based on a broad view of future possibilities‏‎ (9 links)
  180. Expert System‏‎ (9 links)
  181. Prioritization of management strategies‏‎ (9 links)
  182. The activation of an iterative process through periodical meetings permitted to all the stakeholders‏‎ (9 links)
  183. The development of large and enduring systems requires a long term approach‏‎ (9 links)
  184. Forest fire‏‎ (9 links)
  185. Artificial Intelligence‏‎ (9 links)
  186. The user has to be aware of the possibly large impact that the chosen land indicators and threshold‏‎ (9 links)
  187. The choice to develop the system in an Excel environment was based on the status of computer‏‎ (9 links)
  188. Modular approach helpful in assisting industry uptake‏‎ (9 links)
  189. ForMIS‏‎ (9 links)
  190. SifPlan‏‎ (9 links)
  191. KUBIK‏‎ (9 links)
  192. SADfLOR‏‎ (9 links)
  193. Russia‏‎ (9 links)
  194. Model building was rapid, it was assembling the data that took by far the most time‏‎ (9 links)
  195. Portugal-Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company‏‎ (9 links)
  196. Lack of proper documentation and support services (manual, website, etc) can severely limit the‏‎ (9 links)
  197. Providing procedures and structure for data flow from selection of field sample, performing field‏‎ (9 links)
  198. The definition of standardized and specific criteria for selecting and zoning forest compartment‏‎ (9 links)
  199. DSS‏‎ (9 links)
  200. Evaluation‏‎ (9 links)
  201. Group participation with knowledgeable people is a good way to ensure that the decision hierarchy is‏‎ (8 links)
  202. Monte Carlo simulation‏‎ (8 links)
  203. Group decision making techniques‏‎ (8 links)
  204. Woodstock + Stanley‏‎ (8 links)
  205. Flexibility‏‎ (8 links)
  206. Agflor‏‎ (8 links)
  207. SILVANET‏‎ (8 links)
  208. ForestGales‏‎ (8 links)
  209. The DSS usage enabled the planning team to measure the achievement of the restoration goals‏‎ (8 links)
  210. Knowledge Transfer‏‎ (8 links)
  211. The use of EMDS allowed the planning team to identify priority area for restoration treatments that‏‎ (8 links)
  212. Learning‏‎ (8 links)
  213. Category:Pinus sylvestris‏‎ (8 links)
  214. Documentation and training‏‎ (8 links)
  215. Transparency‏‎ (8 links)
  216. Best Practices‏‎ (8 links)
  217. Actor Network Theory provides a suitable lens for exploring both technical and human aspects of DSS institutionalization in the forestry domain‏‎ (8 links)
  218. EMIS‏‎ (8 links)
  219. The analysis of the actor network interactions allowed to identify the criticalities to be solved in order to develop the collaborative process‏‎ (8 links)
  220. Multiple DSS are often needed to meet complex needs‏‎ (8 links)
  221. Operational aspects of the system should be enhanced‏‎ (8 links)
  222. Survey / Questiannaire‏‎ (8 links)
  223. Property:Has support for social participation‏‎ (8 links)
  224. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process.‏‎ (7 links)
  225. Portugal-Tactical/operational forest planning in a Portuguese integrated Pulp and Paper Company‏‎ (7 links)
  226. The very easy user-friendly interface of the software and the clearness of method can be exploited‏‎ (7 links)
  227. Habitat suitability‏‎ (7 links)
  228. Property:Has related case‏‎ (7 links)
  229. Community of Practice‏‎ (7 links)
  230. Students studying forest management planning procedures and processes were very useful ‘guinea pigs’‏‎ (7 links)
  231. Tree species suitability‏‎ (7 links)
  232. Property:Wg1‏‎ (7 links)
  233. Ecological data‏‎ (7 links)
  234. Provide missing help/documentation service‏‎ (7 links)
  235. HylobiusManagementSupportSystem‏‎ (7 links)
  236. ForestGALES‏‎ (7 links)
  237. Type:URL‏‎ (7 links)
  238. Spain-Sustainable Management of Mediterranean Forest: Valencian Community Case‏‎ (7 links)
  239. Simon's decision making model‏‎ (7 links)
  240. South Africa‏‎ (7 links)
  241. User control‏‎ (7 links)
  242. Category:Picea abies‏‎ (6 links)
  243. Structure process‏‎ (6 links)
  244. Canada‏‎ (6 links)
  245. Simulated annealing‏‎ (6 links)
  246. Communication‏‎ (6 links)
  247. HMSS‏‎ (6 links)
  248. WIS.2.Decision support techniques‏‎ (6 links)
  249. Pareto Frontier Techniques are useful for multi-criteria forest management planning‏‎ (6 links)
  250. Fuzzy logic‏‎ (6 links)
  251. WIS.2.Description of DSS development‏‎ (6 links)
  252. Carbon sequestration‏‎ (6 links)
  253. Problem formulation‏‎ (6 links)
  254. Haloaclontologybundle‏‎ (6 links)
  255. Using GISCAME to test alternative land-use scenarios under climate change in the Upper Elbe Valley‏‎ (6 links)
  256. Documentation‏‎ (6 links)
  257. Spain-An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change‏‎ (6 links)
  258. Property:Wg2‏‎ (6 links)
  259. WIS.2.Software‏‎ (6 links)
  260. Appropriate presentation‏‎ (6 links)
  261. Resources‏‎ (6 links)
  262. Need of flexibilization of analytical tools - no "overdesigned" tool that provides too much features for the use‏‎ (6 links)
  263. Property:Wg3‏‎ (6 links)
  264. WIS.2.Support of social participation‏‎ (6 links)
  265. Forest road investment planning‏‎ (6 links)
  266. Property:Wg4‏‎ (6 links)
  267. Storage‏‎ (6 links)
  268. Guidance and help‏‎ (6 links)
  269. Type:Date‏‎ (6 links)
  270. Exchanging Information‏‎ (6 links)
  271. Log bucking optimization / roundwood output‏‎ (6 links)
  272. Input data‏‎ (5 links)
  273. Chosing of DSS‏‎ (5 links)
  274. Students studying forest management planning procedures and processes were very useful product testers‏‎ (5 links)
  275. SiWaWa.Support of social participation‏‎ (5 links)
  276. Property:Has DSS development‏‎ (5 links)
  277. Sensivity analysis‏‎ (5 links)
  278. SIGFOR‏‎ (5 links)
  279. Not prescriptive‏‎ (5 links)
  280. Enlarge the decision space by generating a large set of potential management alternatives‏‎ (5 links)
  281. Stakeholder involvement‏‎ (5 links)
  282. Wiki editing‏‎ (5 links)
  283. To compare the current and the past quantitative-qualitative parameters of the forest, great effort‏‎ (5 links)
  284. Carbon and nitrogen flows‏‎ (5 links)
  285. Climate data‏‎ (5 links)
  286. Category:Case‏‎ (5 links)
  287. China‏‎ (5 links)
  288. Portugal-A Decision Support System for eucalypt forest management under climate change scenarios‏‎ (5 links)
  289. Ad-hoc‏‎ (5 links)
  290. Early involvement‏‎ (5 links)
  291. Form:Case‏‎ (5 links)
  292. Property:ID‏‎ (5 links)
  293. To compare the current and the past quantitative/qualitative parameters of the forest, great effort‏‎ (5 links)
  294. Public meetings / hearings‏‎ (5 links)
  295. Greece‏‎ (5 links)
  296. Need for new models for the later use of a tool‏‎ (5 links)
  297. WIS.2.Knowledge management process‏‎ (5 links)
  298. BFH-HAFL‏‎ (5 links)
  299. Web portal‏‎ (5 links)
  300. Listening to local community‏‎ (5 links)
  301. Netherlands‏‎ (5 links)
  302. Monetary values of non-market products and services‏‎ (5 links)
  303. Iterative process‏‎ (5 links)
  304. Morocco‏‎ (5 links)
  305. Knowledge Generation‏‎ (5 links)
  306. Property:Has software‏‎ (5 links)
  307. Testing‏‎ (5 links)
  308. Unnamed Knowledge based DSS‏‎ (5 links)
  309. Property:Has country‏‎ (5 links)
  310. Need of flexibilization of analytical tools - no overdesigned tool that provides too much features for the use‏‎ (5 links)
  311. Property:Has knowledge management processes‏‎ (5 links)
  312. Consistency‏‎ (5 links)
  313. Property:Has decision support techniques‏‎ (5 links)
  314. Agreeing on assumptions‏‎ (5 links)
  315. Provide missing help-documentation service‏‎ (5 links)
  316. Knowledge Management tools‏‎ (5 links)
  317. Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic‏‎ (5 links)
  318. Error handling and recovery‏‎ (5 links)
  319. Forest health monitoring information management‏‎ (5 links)
  320. Other iterative and incremental development‏‎ (4 links)
  321. The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest‏‎ (4 links)
  322. SADfLOR/INfLOR‏‎ (4 links)
  323. GB Forestry DSS‏‎ (4 links)
  324. KU Leuven‏‎ (4 links)
  325. STANDPACK‏‎ (4 links)
  326. EFIMOD.Decision support techniques‏‎ (4 links)
  327. Biodiversity‏‎ (4 links)
  328. Evaluation of forest protective functions‏‎ (4 links)
  329. GAYA-JLP‏‎ (4 links)
  330. SIMO.Description of DSS development‏‎ (4 links)
  331. SADfLOR/SAGfLOR‏‎ (4 links)
  332. EMDS.Decision support techniques‏‎ (4 links)
  333. Effects of models‏‎ (4 links)
  334. Knowledge Assessment‏‎ (4 links)
  335. Property:Has full name‏‎ (4 links)
  336. Heureka.Decision support techniques‏‎ (4 links)
  337. Visualization of the preliminary actor network made the people explicity include the DSS in a planning process‏‎ (4 links)
  338. StandSIMOPT‏‎ (4 links)
  339. Wind damage risk‏‎ (4 links)
  340. Direct point allocation‏‎ (4 links)
  341. Property:Has input data format‏‎ (4 links)
  342. Category:DSS‏‎ (4 links)
  343. Informing local community‏‎ (4 links)
  344. Form:DSS‏‎ (4 links)
  345. Germany:Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (4 links)
  346. Conservation value‏‎ (4 links)
  347. Knowledge mapping‏‎ (4 links)
  348. Workflow‏‎ (4 links)
  349. Property:Has input data requirements‏‎ (4 links)
  350. Pulpwood Supply Chain Planning in a Portuguese integrated Pulp and Paper Company‏‎ (4 links)
  351. Location-specific stakeholder values‏‎ (4 links)
  352. Property:Has output data format‏‎ (4 links)
  353. Receving DSS development guidelines from user‏‎ (4 links)
  354. CONES.Decision support techniques‏‎ (4 links)
  355. VDDT‏‎ (4 links)
  356. MatrixGen‏‎ (4 links)
  357. Simosol‏‎ (4 links)
  358. Anguilla‏‎ (4 links)
  359. Stakeholder involvement in DSS design‏‎ (4 links)
  360. ClimChAlp.Decision support techniques‏‎ (4 links)
  361. Installation/maintenance and support‏‎ (4 links)
  362. Alter‏‎ (4 links)
  363. Use of adequate DSS development methodology‏‎ (4 links)
  364. Form:Organization‏‎ (4 links)
  365. Fuzzy Logic‏‎ (4 links)
  366. FORFUN.Decision support techniques‏‎ (4 links)
  367. Effects of data quality‏‎ (4 links)
  368. Electronic spreadsheets‏‎ (4 links)
  369. User:Francisco Girón Gesteira‏‎ (4 links)
  370. ETÇAP‏‎ (4 links)
  371. Sweden.67‏‎ (3 links)
  372. Estonia.50.Decision support techniques‏‎ (3 links)
  373. Sweden.93‏‎ (3 links)
  374. Form:Wiki Issue‏‎ (3 links)
  375. Type:Email‏‎ (3 links)
  376. Portugal.34‏‎ (3 links)
  377. Simple ranking‏‎ (3 links)
  378. Universidade Técnica de Lisboa.‏‎ (3 links)
  379. Brazil.44‏‎ (3 links)
  380. Estonia.124‏‎ (3 links)
  381. Czech Republic‏‎ (3 links)
  382. Canada.75.Decision support techniques‏‎ (3 links)
  383. Ireland.84‏‎ (3 links)
  384. Liechtenstein‏‎ (3 links)
  385. Denmark.36.Decision support techniques‏‎ (3 links)
  386. Estonia.76‏‎ (3 links)
  387. Actor Network Theory to Understand Collaborative Decision Support Systems Development in Forest Management Practice‏‎ (3 links)
  388. Slovenia.104‏‎ (3 links)
  389. Integrating an ecosystem model into SADfLOR Decision Support platform for optimal forest management planning under changing climate in boreal conditions.‏‎ (3 links)
  390. Portugal.108‏‎ (3 links)
  391. HylobiusManagementSupportSystem.Description of DSS development‏‎ (3 links)
  392. Denmark.46‏‎ (3 links)
  393. Brazil.44.Decision support techniques‏‎ (3 links)
  394. Italy.28.Decision support techniques‏‎ (3 links)
  395. Austria.83‏‎ (3 links)
  396. South Africa.13‏‎ (3 links)
  397. Chile.84.Decision support techniques‏‎ (3 links)
  398. Hungary.17.Decision support techniques‏‎ (3 links)
  399. United Kingdom.109‏‎ (3 links)
  400. Finland.122.Decision support techniques‏‎ (3 links)
  401. Slovenia.18‏‎ (3 links)
  402. Hungary.1.Decision support techniques‏‎ (3 links)
  403. Morocco.107‏‎ (3 links)
  404. Norway.49‏‎ (3 links)
  405. Sweden.14‏‎ (3 links)
  406. Hungary.61‏‎ (3 links)
  407. Canada.26‏‎ (3 links)
  408. MyTestDSS.Support of social participation‏‎ (3 links)
  409. China.100‏‎ (3 links)
  410. Finland.7.Decision support techniques‏‎ (3 links)
  411. PROTEUS.Description of DSS development‏‎ (3 links)
  412. Norwegian University of Life Sciences‏‎ (3 links)
  413. Hungary.2.Decision support techniques‏‎ (3 links)
  414. Slovenia.114‏‎ (3 links)
  415. Chile.39.Decision support techniques‏‎ (3 links)
  416. Ireland.90‏‎ (3 links)
  417. Intelligent agent‏‎ (3 links)
  418. Chile.65‏‎ (3 links)
  419. T(ree).Description of DSS development‏‎ (3 links)
  420. Participatory processes‏‎ (3 links)
  421. Ireland.56‏‎ (3 links)
  422. China.100.Decision support techniques‏‎ (3 links)
  423. Ireland.47.Decision support techniques‏‎ (3 links)
  424. Morocco.99‏‎ (3 links)
  425. Algeria‏‎ (3 links)
  426. Hungary.89‏‎ (3 links)
  427. Centro de Estudos Florestais‏‎ (3 links)
  428. Denmark.5.Decision support techniques‏‎ (3 links)
  429. Ireland.64‏‎ (3 links)
  430. United States.1‏‎ (3 links)
  431. Prototyping‏‎ (3 links)
  432. Hungary.6‏‎ (3 links)
  433. Hungary.82‏‎ (3 links)
  434. Lithuania‏‎ (3 links)
  435. MyTestDSS.Description of DSS development‏‎ (3 links)
  436. Category:Betula spp.‏‎ (3 links)
  437. ToSIA.Description of DSS development‏‎ (3 links)
  438. An agro-ecological Decision Support Systems for evaluting soil under scenarios of global change‏‎ (3 links)
  439. /sandbox‏‎ (3 links)
  440. AVVIRK-2000.Decision support techniques‏‎ (3 links)
  441. Spain.61‏‎ (3 links)
  442. Spain.88‏‎ (3 links)
  443. Agflor.Decision support techniques‏‎ (3 links)
  444. South Africa.47‏‎ (3 links)
  445. Norway.39‏‎ (3 links)
  446. Ireland.84.Decision support techniques‏‎ (3 links)
  447. Estonia.77.Decision support techniques‏‎ (3 links)
  448. United States.21‏‎ (3 links)
  449. Category:Picea sitchensis‏‎ (3 links)
  450. Hungary.122‏‎ (3 links)
  451. CEF-ISA‏‎ (3 links)
  452. Spain.33‏‎ (3 links)
  453. EFIMOD.Description of DSS development‏‎ (3 links)
  454. Spain.92‏‎ (3 links)
  455. Form:DSS development‏‎ (3 links)
  456. Syunev 2004‏‎ (3 links)
  457. Austria.97.Decision support techniques‏‎ (3 links)
  458. Russia.68‏‎ (3 links)
  459. Hungary.115‏‎ (3 links)
  460. Denmark.67‏‎ (3 links)
  461. PYL.Description of DSS development‏‎ (3 links)
  462. Chile.122‏‎ (3 links)
  463. DSD.Decision support techniques‏‎ (3 links)
  464. Russia.8‏‎ (3 links)
  465. Italy.56‏‎ (3 links)
  466. Fuzzy MCDM‏‎ (3 links)
  467. Greece.79.Decision support techniques‏‎ (3 links)
  468. SAPPI FMS‏‎ (3 links)
  469. Russia.20‏‎ (3 links)
  470. Hungary.94‏‎ (3 links)
  471. SØK.Description of DSS development‏‎ (3 links)
  472. Multi-criteria decision analysis (MCDA)‏‎ (3 links)
  473. Belgium-Participative modelling of long-term wood production in the forest complex Bosland‏‎ (3 links)
  474. United Kingdom.13‏‎ (3 links)
  475. Ireland.3.Decision support techniques‏‎ (3 links)
  476. Portugal.75‏‎ (3 links)
  477. Germany.5‏‎ (3 links)
  478. China.106‏‎ (3 links)
  479. Multi-access system for experts / owners‏‎ (3 links)
  480. Spain.128‏‎ (3 links)
  481. Germany.122.Decision support techniques‏‎ (3 links)
  482. Brazil.38‏‎ (3 links)
  483. France‏‎ (3 links)
  484. Luxembourg‏‎ (3 links)
  485. China.106.Decision support techniques‏‎ (3 links)
  486. Tabu search‏‎ (3 links)
  487. Slovenia.113‏‎ (3 links)
  488. /testcases‏‎ (3 links)
  489. Germany.68.Decision support techniques‏‎ (3 links)
  490. AVVIRK-2000.Description of DSS development‏‎ (3 links)
  491. Greece.69.Decision support techniques‏‎ (3 links)
  492. United States.33‏‎ (3 links)
  493. Modular Forest Management DSS in NZ‏‎ (3 links)
  494. Switzerland.73‏‎ (3 links)
  495. The development and introduction of versatile DSS in Sweden‏‎ (3 links)
  496. Spain.31‏‎ (3 links)
  497. Italy.1‏‎ (3 links)
  498. Denmark.71.Decision support techniques‏‎ (3 links)
  499. Denmark.5‏‎ (3 links)
  500. Category:Pinus contorta‏‎ (3 links)

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