ReferencesScientific artiklesHankala, A., Wikström, P., and Eriksson, L.O. 2009. Using Software to support forestrydecision making with multiple goals: a case study with the MCDA application of the<strong>Heureka</strong> planning system. (in Prep).External referencesBelton, Valerie & Stewart, <strong>The</strong>odor J. (2001). Multiple Criteria Decision Analysis: Anintegrated approach. Kluwer Academic Publishers, Dortdrecht, <strong>The</strong> NetherlandsFrench, Simon & Xu, Dong-Ling (2005). Comparison study of multi-attribute decisionanalytic software. J. Multi-Crit. Decis. Anal. 13: 65-80Hörnsten, Lisa (2000). Outdoor Recreation in Swedish Forests – Implications for Societyand Forestry. Doctoral thesis. Swedish University of Agricultural Sciences. UppsalaJankowski, Piotr, Andrienko, Natalia and Andrienko, Gennady (2001). Map-centredexploratory approach to multiple criteria spatial decision making. Int. J. GeographicalInformation Science 15 (2): 101-127Kangas, Annika, Kangas, Jyrki & Kurttila, Mikko (2008). Decision support for forestmanagement. [Dordrecht]: SpringerKangas, Jyrki & Kangas, Annika (2005). Multiple criteria secision support in forest management– the approach, methods applied, and experiences gained. Forest Ecology andManagement 207: 133-143Kangas, Jyrki, Kangas, Annika, Leskinen, Pekka and Pykäläinen, Jouni (2001). MCDMMethods in strategic planning of forestry on state-owned lands in Finland: Applicationsand experiences. J. Multi-Crit. Decis. Anal. 10: 257-271Mendoza, G. A. and Martins, H. (2006). Multi-criteria decision analysis in naturalresource management: A critical review of methods and new modeling paradigms. ForestEcology and Management 230: 1-22Sheppard, Stephen R.J. and Meitner, Michael (2005).Using multi-criteria analysis andvisualisation for sustainable forest management planning with stakeholder groups. ForestEcology and Management 207: 171–187Wolfslehner, Bernhard, Vacik, Harald and Lexer, Manfred J. (2005) Application of theanalytic network process in multi-criteria analysis of sustainable forest management. ForestEcology and Management 207: 157–17094
Forest owner behaviour and dynamicsProject leader: Lennart Eriksson, Dept. of Forest Products, SLU, Uppsala.Participants: Fredrik Ingemarson, Dept. of Forest Products, SLU, Uppsala.Project aim<strong>The</strong> aim of this project was to construct models for predicting private forestowners’ behaviour, in terms of plantation, pre-commercial and commercialthinning and final cuts. <strong>The</strong> ambition is to use these models for prognoses offorest activities among private forest owners in the <strong>Heureka</strong>system.<strong>The</strong> conveyance of real estate, and the importance of changes in decisionbehaviour, appeared to be difficult to describe, since transactions with legalratification (investigated in this study) do not include all transactions involvingreal estate.Methods used in the projectTobit-analyses (Amemiya 1984) were performed on the results of a survey offorest owners (1200 replies), in order to estimate prognostic models of forestowner behaviour. Data on 5590 transactions of estates with legal ratificationfrom 1990 to 2007, and two censuses of forest owners, were also subjected tostatistical analyses. <strong>The</strong> ambition was to discover structural trends in the ownershipof forest estates in terms of forest area of the estates, the owners’ livelihoodin relation to the estate, gender, age, etc. Interviews were performedwith estate agents as well as with owners involved in the conveyance of realestates during the last three years.User valuePrognoses of forest owner forestry behaviour are possible, given scenario valuesof the structure development of the forest owners.Scientific resultsModels for prognosis of forest activity decisions<strong>The</strong> owners of large forest estates are generally more active per hectare forestarea than the owners of small ones. At the same time the activity on forestestates in southern Sweden is greater than on those in the north, althoughthe northern forest estates are larger on average than those in the south.<strong>The</strong> state of the forest (estimated by kNN’s satellite-based data) expressed asstanding volume per hectare forest area and the area-weighted proportion offorest older than 20 years is positively correlated to the extent of both thinningsand final cuts. Young forest owners are generally more active in allforest operations than older forest owners. One variable, duration of possession,shows a varying relation to activity, since owners who have possessedtheir estates for 0-10 years are more active than others, but activity increaseswith time amongst owners who have had their estates for a very long time.Men are more active in all operations than women, but a nuanced interpretationof the data is that the latter group prefers commercial thinning and95
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Growth and yieldmodelsSP1 Forest Ec
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forest production, and social value
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identified relationships were used
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