Difference between revisions of "CONES"
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|Institutional framework=research prototype (R&D project) | |Institutional framework=research prototype (R&D project) | ||
|Contact person for the Wiki=Harald Vacik | |Contact person for the Wiki=Harald Vacik | ||
− | |Contact e-mail for the Wiki=harald.vacik | + | |Contact e-mail for the Wiki=harald.vacik(a)boku.ac.at |
|Contact person for the DSS=Harald Vacik, Manfred J. Lexer and Karl Stampfer | |Contact person for the DSS=Harald Vacik, Manfred J. Lexer and Karl Stampfer | ||
− | |Contact e-mail for the DSS=harald.vacik | + | |Contact e-mail for the DSS=harald.vacik(a)boku.ac.at |
|Additional information=It was developed during 2001-2004 by the Institute of Silviculture and the Institute of Forest Engineering at the University of Natural Sciences and Applied Life Sciences, Vienna (BOKU) | |Additional information=It was developed during 2001-2004 by the Institute of Silviculture and the Institute of Forest Engineering at the University of Natural Sciences and Applied Life Sciences, Vienna (BOKU) | ||
}} | }} | ||
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{{DSS description, Concrete application | {{DSS description, Concrete application | ||
|Typical use case=t allows the user to evaluate different treatment alternatives as a combination of harvest and forest regeneration strategies in order to select the pareto-optimal solution for a given situation. | |Typical use case=t allows the user to evaluate different treatment alternatives as a combination of harvest and forest regeneration strategies in order to select the pareto-optimal solution for a given situation. | ||
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|Country=Austria | |Country=Austria | ||
|References about examples of application=VACIK H. (2005): Development and application of Decision Support Systems for silvicultural Planning and Decision making. International Workshop on “Success and Failure of Decision Support Systems for Integrated Water Resource Management”, 06-07. October 2005, Venice, Italy. VACIK H., LEXER M.J., PALMETZHOFER D., STAMPFER K., LIMBECK-LILIENAU B. (2004): Application of the spatial decision support system CONES for the regeneration planning in mountain forests. Cable Yarding Suitable for Sustainable Forest Management, 23. sept. 2004, Idrija, Slovenia | |References about examples of application=VACIK H. (2005): Development and application of Decision Support Systems for silvicultural Planning and Decision making. International Workshop on “Success and Failure of Decision Support Systems for Integrated Water Resource Management”, 06-07. October 2005, Venice, Italy. VACIK H., LEXER M.J., PALMETZHOFER D., STAMPFER K., LIMBECK-LILIENAU B. (2004): Application of the spatial decision support system CONES for the regeneration planning in mountain forests. Cable Yarding Suitable for Sustainable Forest Management, 23. sept. 2004, Idrija, Slovenia | ||
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|Deployment cost=<= 1‘000€ | |Deployment cost=<= 1‘000€ | ||
|Installation requirements=The decision support tool is implemented using the software package ArcGIS | |Installation requirements=The decision support tool is implemented using the software package ArcGIS | ||
− | |Computational limitations=A full simulation run for hundered years with several management prescriptions might take between 2-5 min. | + | |Computational limitations=A full simulation run for hundered years with several management prescriptions might take between 2-5 min. |
|User support organization=Institute of Silviculture, at the Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna | |User support organization=Institute of Silviculture, at the Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna | ||
|Support team size=2 | |Support team size=2 | ||
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|Price= | |Price= | ||
}} | }} | ||
− | {{DSS description, Data, data model and data management}} | + | {{DSS description, Data, data model and data management |
− | {{DSS description, Models and methods, MBMS, decision support techniques}} | + | |Input data requirements=Forest inventory data, Forest ownership data |
+ | |Format of the input data=spreadsheet, other | ||
+ | |Data validation=missing/wrong data | ||
+ | |Format of the output data=table, graph, map, pre-programmed summaries | ||
+ | |Internal data management=database | ||
+ | |Database=Access | ||
+ | |GIS integration=ESRI | ||
+ | |Data mining=N/A | ||
+ | |Spatial analysis=Several spatial analysis techniques are applied (point measurements are automatically extrapolated using Thyssen polygon approach, length of sky line systems is calculated, management area and regeneration patches are calculated, provides standard data import/export formats, topology overlays (e.g. multi layering of different maps, selection of objects based on selection criteria, aggregation by attributes (e.g. areas of similar characteristics, Linking by logical means, statistics by area, analysis with digital terrain model)) | ||
+ | |Additional information=Productivity models are used to analyse individual subprocesses (felling, processing and extraction) of wood harvesting in steep terrain (Stampfer, 2002). Extraction costs for different silvicultural treatment variants | ||
+ | are calculated by determining the time requirement as a function of site parameters, felling method, cutting volume, and of the spatial dispersion of the harvested timber. Profit is estimated by spreading the cutting volume to possible assortments with varying yield. Time requirement for putting up and putting down the cable yarder system and associated costs are also estimated by empirical models. Based on revenues for timber and harvesting costs, the | ||
+ | economically important contribution margin can be calculated. Risk of damage to stand and advance forest regeneration is estimated by 2-stage responsemodels, which first describe the probability of occurrence of a damage event for the modelled entity. Both for residual trees and for advance regeneration damage probability is assessed by means of logistic regression models. Growth and mortality of trees with DBH larger 5 cm are modelled by PROGNAUS. PROGNAUS is a distance independent stand growth simulator consisting of a basal area model, height increment model, mortality model, and crown proportion model (Hasenauer, 2000). Probabilities of regeneration establishment, density, species composition, growth and mortality of natural regeneration are estimated by a series of equations and algorithms taken | ||
+ | from Ledermann (2002) and Lexer and Hönninger (2001). Within CONES, stand | ||
+ | development together with developing regeneration can be modelled for a 30-years period. | ||
+ | }} | ||
+ | {{DSS description, Models and methods, MBMS, decision support techniques | ||
+ | |Forest models=yield models | ||
+ | |Ecological models=N/A | ||
+ | |Social models=N/A | ||
+ | |MCDM methods=Multi-Attribute Utility Theory (MAUT) | ||
+ | |Optimisation package=N/A | ||
+ | |Optimisation algorithm=N/A | ||
+ | |Risk evaluation=user defined | ||
+ | |Uncertainty evaluation=N/A | ||
+ | |Planning scenario=Alternative silvicultural prescriptions can be computed or an already existing scenario modified. Thereby the user is supported by the scenario manager. For a given scenario, system costs (personnel expenditure, machinery costs) as well as current wood-selling prices can be modified. The user defines the type (areal or spatially selective), intensity (amount of timber) and temporal progression (period) of a silvicultural treatment. | ||
+ | }} | ||
{{DSS description, Support of knowledge management process | {{DSS description, Support of knowledge management process | ||
+ | |Supported KM processes=N/A | ||
+ | |Additional information=A complex decision problem like | ||
+ | forest regeneration planning in mountain forests can thus be structured as an ideal combination | ||
+ | of silvicultural (i.e. kind of treatment, treatment intensity, stability, and quality of the residual | ||
+ | stand), technical (productivity, calculation of treatment costs) and economical objectives. The | ||
+ | formalised model concept in a decision support system allows decision maker to apply | ||
+ | sensitivity analysis to the considered problem regarding individual factors of influence. CONES | ||
+ | permits an optimal support to empirical expert knowledge by tables and figures of relevant data | ||
+ | and data based warnings in case of clearly wrong decisions. Besides this, CONES also | ||
+ | contributes to pointing out knowledge gaps and fields of further research. | ||
|Integrated KM techniques to identify and structure knowledge= | |Integrated KM techniques to identify and structure knowledge= | ||
|Integrated KM techniques to analyse and apply knowledge= | |Integrated KM techniques to analyse and apply knowledge= | ||
}} | }} | ||
{{DSS description, Support of social participation | {{DSS description, Support of social participation | ||
+ | |Participatory planning tasks supported=exploring options, evaluating options | ||
|Stakeholder identification support= | |Stakeholder identification support= | ||
|Planning criteria formation support= | |Planning criteria formation support= | ||
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{{DSS description, User interface and outputs | {{DSS description, User interface and outputs | ||
|User access control=Yes | |User access control=Yes | ||
− | |Parameterised GUI= | + | |Parameterised GUI=Yes |
+ | |User-friendliness of GUI=user control, error handling and recovery | ||
+ | |Map interface=2D | ||
+ | |GUI technology=Visual C++ | ||
+ | |Additional information=Within the GIS environment the user provides basic input data about the current stand and site conditions, designs silvicultural treatment options and selects harvesting systems. The user is supported by various wizards to define the kind of treatment, the number of entries, the planning horizon or individual settings like labor costs or timber prices. Additional information (e.g. location of skyline corridors, uphill/ downhill extraction) about the harvesting system has to be provided. Expected outcomes of alternative actions are estimated by different models. | ||
}} | }} | ||
{{DSS description, System design and development | {{DSS description, System design and development | ||
+ | |Methods applied in the requirement phase=workshops have been conducted with the users | ||
+ | |Development start year=2001 | ||
+ | |Number of development years (100% equivalent)=5 | ||
+ | |Development team size=5 | ||
+ | |Number of forest specialists in the development team=1 | ||
+ | |Number of users participating in specification=4 | ||
|Stakeholder identification support= | |Stakeholder identification support= | ||
|Planning criteria formation support= | |Planning criteria formation support= | ||
}} | }} | ||
{{DSS description, Technological architecture, integration with other systems | {{DSS description, Technological architecture, integration with other systems | ||
+ | |System type=extension (based on standard software) | ||
+ | |Operating system=Windows | ||
+ | |Programming language=C++ | ||
|Scalability=No | |Scalability=No | ||
}} | }} | ||
{{DSS description, Ongoing development | {{DSS description, Ongoing development | ||
|Adaptation effort (man years)=N/A | |Adaptation effort (man years)=N/A | ||
+ | |Additional information=The DSS CONES v1.0 is being tested by the Austrian Federal Forests Company in the planning of the use of cable yarding system, and was recently evaluated as part of a master thesis ( | ||
+ | https://zidapps.boku.ac.at/abstracts/oe_list.php?paID=3&paSID=6276&paSF=-1&paCF=0&paLIST=0&language_id=DE) | ||
}} | }} | ||
{{DSS description, Documentation | {{DSS description, Documentation | ||
− | |Manual= | + | |Website=http://www.wabo.boku.ac.at/cones.html |
− | |Technical documentation= | + | |Manual=Yes |
+ | |Technical documentation=Yes | ||
+ | |References=https://forschung.boku.ac.at/fis/suchen.projekt_uebersicht?sprache_in=en&menue_id_in=300&id_in=3423 | ||
}} | }} | ||
CONES is a computer based multiple criteria decision support tool for optimizing silvicultural and harvest operations in steep terrain with cable yarding system. | CONES is a computer based multiple criteria decision support tool for optimizing silvicultural and harvest operations in steep terrain with cable yarding system. | ||
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[[Image:CONES_screenshot.jpg|thumb|400px|A screenshot from CONES v1.0]] | [[Image:CONES_screenshot.jpg|thumb|400px|A screenshot from CONES v1.0]] | ||
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Revision as of 21:59, 1 September 2012
Template:DSS description, Name, responsible organisation and contact person Template:DSS description, Scope of the tool Template:DSS description, Concrete application Template:DSS description, Installation and support Template:DSS description, Data, data model and data management Template:DSS description, Models and methods, MBMS, decision support techniques Template:DSS description, Support of knowledge management process Template:DSS description, Support of social participation Template:DSS description, User interface and outputs Template:DSS description, System design and development Template:DSS description, Technological architecture, integration with other systems Template:DSS description, Ongoing development Template:DSS description, Documentation CONES is a computer based multiple criteria decision support tool for optimizing silvicultural and harvest operations in steep terrain with cable yarding system.