Heureka
From forestDSS
Contents
Wiki quality control
Has flag | green |
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Name, responsible organisation and contact person
Has full name | Heureka PlanWise |
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Has acronym | Heureka PlanWise |
Has wiki contact person | Tomas Lämås; Eva-Maria Nordström; Karin Öhman; Hampus Holmström |
Has wiki contact e-mail | tomas.lamas@slu.se; : eva-maria.nordstrom@slu.se; karin.ohman@slu.se; : hampus.holmstrom@slu.seURIs of the form "tomas.lamas@slu.se; : eva-maria.nordstrom@slu.se; karin.ohman@slu.se; : hampus.holmstrom@slu.se" are not allowed. |
Software identification
Has software | Heureka.Software |
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Description
Has description | Heureka is a system for long and medium term forestry planning and scenario analysis. It consists of
several applications: (1) StandWise for stand-level management analysis, (2) PlanWise for forest-level planning, (3) RegWise for regional scenario analysis, (4) PlanEval for multi-criteria deciion analysis to rank plans created in PlanWise and RegWise with one pr more stakeholders, and (5) Habitat Prognosis, a AcGIS-abased application for habitat suitability analysis of a given plan. The system covers the whole decision support process from data inventory to tools for selecting among plan alternatives with multi-criteria decision making techniques. The system is designed for both large-scale and small-scale forestry. The utilities handled today are timber and bio-fuel production, carbon sequestration, biodiversity, and recreation. |
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Has modelling scope | Economical indicators, Forest indicators, Ecological indicators, Climate change |
Has temporal scale | Long term (strategic), Medium term (tactical) |
Has spatial context | Spatial with no neighbourhood interrelations |
Has spatial scale | Forest level |
Has objectives dimension | Multiple objectives |
Has related DSS | Heureka RegWise |
Has goods and services dimension | Market wood products, Non-market services |
Has decision making dimension | Single decision maker |
Has forest management goal | biomass estimation, carbon sequestration, conservation, economic evaluation, multi-functional |
Supports tree species | Several Scandinavian |
Supports silvicultural regime | even-aged, uneven-aged/natural regeneration |
Concrete application
Has typical use case | Forest management planning on an estate (company) level, long as well as short term. Landscape level analyses, e.g., watershed level |
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Has user profile | private legal entities (cooperatives / corporations / trusts / partnerships / condominium associations), local communities |
Has country | Sweden |
Has references about examples of application | |
Has number of users | <=100 |
Has number of real-life applications | <=100 |
Has utilisation in education | used by students |
Has research project reference | Horstkotte, T., Moen, J., Lämås, T. & Helle, T. 2011. The legacy of logging. Estimating arboreal lichen occurrence in a boreal multiple-use landscape on a two century scale. PLoS ONE 6(12) e28779. doi:10.1371/journal.pone.0028779
Korosuo, A., Wikström, P., Öhman, K. and Eriksson, L.O. 2011. An integrated MCDA software application for forest planning: a case study in southwestern Sweden. Mathematical and Computational Forestry & Natural-Resource Sciences 3(2), 75-86. |
Has tool dissemination | Courses |
Decision support techniques used in the DSS
Has decision support techniques | Heureka.Decision support techniques |
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Support of Knowledge Management
Has knowledge management processes | Heureka.Knowledge management process |
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Support of social participation
Has support for social participation | Heureka.Support of social participation |
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DSS development
Has DSS development | Heureka.Description of DSS development |
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Documentation
Has website | http://www.slu.se/heureka |
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Has online demo | |
Has manual | Yes |
Has technical documentation | Yes |
Has reference | Wikström, P., L. Edenius, Elfving, B., Eriksson, L.O., Lämås, T., Sonesson, J., Öhman, K., Wallerman, J., Waller, C., Klintebäck, F. 2011. The Heureka forestry decision support system: An overview. Mathematical and Computational Forestry & Natural-Resource Sciences. 3(2): 87-94. |