Sweden-The development and introduction of versatile DSS in Sweden
Case
| Has flag | |
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| Has full name | The development and introduction of versatile DSS in Sweden |
| Has country | Sweden |
| Has location | Applicable in all of Sweden |
| Has responsible organisation | Swedish University of Agricultural Sciences (SLU) |
| Has type of owner organization | research institution |
| Has related DSS | Heureka |
| Has start date | 2002 |
| Has end date | 2012 |
| Has DSS development stage | development, adoption, use |
| Has decision stage | design |
| Has temporal scale | Long term (strategic) |
| Has spatial context | Spatial with no neighbourhood interrelations |
| Has spatial scale | Regional/national level, Forest level, Stand level |
| Has decision making dimension | Single decision maker |
| Has objectives dimension | Multiple objectives |
| Has goods and services dimension | Market wood products, Non-market services |
| Has working group theme | Dss development process, Models & techniques |
| Has website | http://www.slu.se/sha |
| Has description | Computerized decision support system has a long history in Sweden although until recently dominated by just a few systems (mainly the FMPP and Hugin). As forest policies and management objectives changed in the 1990's the need of a next generation of analysis and planning system was recognised of several stakeholders. Funded partly by the forestry and environmental sectors a new one, the Heureka system (Wikström et al. 2011) was developed in 2002 - 2009 in a multi-disciplinary research programme at SLU and the Forestry Research Institute of Sweden (Skogforsk) (Lämås and Eriksson 2003, Anon. 2009). It includes a number of software for different users and problem areas, the main software being StandWise, an interactive stand simulator, PlanWise for long and short term planning on forest holdings, and RegWise for regional analysis. These software are built on a common core of central models describing (individual) tree and stand development. As former systems were outdated also concerning system architecture programming languages,etc., all Heureka software are built from scratch within the above mentioned research programme (programming language C#, development environment .NET, programmers employed by SLU as well as consultants) except for a GIS-based habitat model tool.
PlanWise is the one that probably will be most frequently used and the one proposed for a FORSYS case study. It has a module for strategic planning as well as a module for subsequent tactical planning. The horizon in the first case is typically 100+ years (set by the user), five year time steps. The horizon and time step in the tactical planning is set by the user, typically 2 - 5 year horizon, 1 year time step. The inclusion of the two planning problems of different time scales is motivated by basically similar problem formulation - though for different time horizons - and solving technique. So far the single spatial with neighborhood relation problem handled is opening size constraints (clear felled areas). The treatment unit are typically stands, either all stands in the analysis area (“full spatial coverage”) or a (stratified) sample of stands where the sample stands have been surveyed by sample plots. The latter approach is typically used for strategic planning on large forest holdings. It can also operate on sample plots from the National Forest Inventory (NFI). That is, it can be used on small and large forest holdings, arbitrary landscapes using the “kNN Sweden” forestry map up to regions using NFI data. The first version of the Heureka system was released in autumn 2009. PlanWise is used in research projects, teaching, in practical forestry and has also been used by authorities (County Boards for landscape analysis). The former FMPP was widely used by large Swedish forest companies. PlanWise is now replacing that system as, for example, Bergvik Skog AB in 2011 elaborated strategic plans for their 1.8 million ha holding using PlanWise. PlanWise has also showed a large potential for planning on medium sized forest holdings. Moreover, the Federation of Swedish Family Forest Owners uses the Heureka core models (by DLLs) for projection of stand development in their recently developed system for producing forest management plans. Heureka is now maintained and further developed at the Forest Sustainability Analysis unit at SLU |
| Has reference | Anon. 2009. The Heureka research programme. Final report for phase 2, October 2005 - September 2009. SLU. 119 pp.
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. Lämås, T. and Eriksson, L.O. 2003. Analysis and planning systems for multi-resource, sustainable forestry - The Heureka research programme at SLU. Canadian Journal of Forest Research 33(3):500-508.
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| Has wiki contact person | Tomas Lämås, Dept of Forest Resource Management, SLU |
| Has wiki contact e-mail | tomas.lamas@slu.se |
| Has DSS development | Sweden-The development and introduction of versatile DSS in Sweden.Description of DSS development |
| Has decision support techniques | Sweden-The development and introduction of versatile DSS in Sweden.Decision support techniques |
| Has knowledge management processes | Sweden-The development and introduction of versatile DSS in Sweden.Knowledge management process |
| Has support for social participation | Sweden-The development and introduction of versatile DSS in Sweden.Support of social participation |
- has related Lesson:As the core of forest DSS are models describing the development of trees and stands (growth and, Enabling the analyses of several ecosystem services (timber and non-timber resources) in one and the, Getting joint funding from both the forest and environmental sectors can be a successfull for
