The Heureka Research Programme - Mistra

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iological diversity, recreational values, game hunting, etc., although always inconjunction with long-term, profitable forestry. Problems were solved by forestdomain classifications as well as by restricted optimization models.In the “Silviculture and Inventory Methodology” course the studentsfirst took in-field measurements of a forest, then analyzed effects of differenttreatments applied to this forest, using StandWise. The simplicity ofapplying, and undoing, a certain treatment in a certain forest, visualizedin 2D and 3D, was found to be of great interest. Moreover, the studentslooked forward to using PlanWise with its built-in Treatment ProgramGenerator in future courses.During 2009 the Heureka system was used in parts of several othercourses, e.g. “Forest Management Planning” and “Nature conservationoriented silviculture”. Some Master’s projects were based on analyses withPlanWise. Introductory lectures have also been held at other SLU locations,e.g. Skinnskatteberg and Alnarp, and the system will presumably beapplied in teaching at these sites in the future.Part of the Heureka team at the programme meeting September 2009, Borgafjäll. Photo SusanneSjöberg.
Thematic research projectsGrowth and yield modelsProject leader: Björn Elfving, Dept. of Forest Ecology and Management, SLU, UmeåParticipants: Nils Fahlvik, Southern Swedish Forest Research Centre, SLU, AlnarpProject aimThe growth and yield models form the core elements for projections oftree layer development. They mainly consist of models for stand establishment,diameter- and height growth, in-growth and mortality. The modelsfor stand establishment were developed in a separate Heureka project.Accurate projections of tree and stand development are essential for theoverall reliability of the Heureka planning system.Methods used in the projectEmpirical models were developed on the basis of data from the NationalForest Inventory and from long-term experiments and yield plots controlledby the Faculty of Forest Sciences. Functions were parameterized byregression analysis under the assumption of stable growing conditions,i.e. it was assumed that observed growth relations in the past will continuein the future. So far, no deviations from this assumption have beendetected. The focus in the last three years has been on adapting and testingpreviously developed models. However, new models were developedfor height growth of beech and oak and for thinning responses. Effects ongrowth of whole-tree utilization and on mortality of ageing and sheltercuttinghave been quantified on the basis of literature reviews. The variabilityof growth and ways to ensure the largest possible precision ingrowth predictions have also been reviewed.User valueThe value for the planning system of reliable projections of the tree layerdevelopment is self-evident. The new models have also increased possibilitiesto evaluate alternative silvicultural systems like continuous coverforestry.Scientific resultsNo scientific reports have been published in the project period. The aim isto gather all growth models with descriptions of their background in thereport “Growth modeling in the Heureka system” (in prep.). The most evidentresult from the project is a working planning system.Fulfillment of objectivesAlthough a working system has been constructed many details should bere-considered and improved. Regional deviations from predicted growthhave been observed, but not considered. Their background and stability overtime should be examined. The system for predicting height growth should27
Page 3: ContentsResearch Programme 5Applica
Page 7 and 8: Growth and yieldmodelsSP1 Forest Ec
Page 9 and 10: forest production, and social value
Page 11 and 12: Applications of the Heureka systemT
Page 13 and 14: data, improving opportunities to in
Page 15 and 16: User valueA complete decision suppo
Page 17 and 18: opment scenarios for a stand that w
Page 19 and 20: Programme meeting including an excu
Page 21 and 22: forest roads, 10 time periods, four
Page 23 and 24: Figure 6. Examples of screen layout
Page 25: Implementations in practical forest
Page 29 and 30: 600PineSpruceBirch500400Max-age, yr
Page 31 and 32: Specification of silviculturaland n
Page 33 and 34: zones and other tree groups. Border
Page 35 and 36: expresses the expected potential in
Page 37 and 38: tions, mainly using current forest
Page 39 and 40: ReferencesPopular science publicati
Page 41 and 42: identified relationships were used
Page 43 and 44: Fulfilment of objectivesThe goal of
Page 45 and 46: Soil biogeochemical modellingProjec
Page 47 and 48: Scientific resultsSoil carbon model
Page 49 and 50: model (Fig. 18). In addition, the w
Page 51 and 52: Hodson, M.E., Langan, S.J. & Wilson
Page 53 and 54: phytes, fungi, lichens, invertebrat
Page 55 and 56: forest net value revenues and the p
Page 57 and 58: Wood propertiesProject leader: Lars
Page 59 and 60: pulpwood energy wood sections) are
Page 61 and 62: Table 1. Properties that can be pre
Page 63 and 64: Hannrup, B. et al. (manuscript). Mo
Page 65 and 66: value model, based on both stand at
Page 67 and 68: uscript in prep.Working papersLindh
Page 69 and 70: een tested.Estimates of forest para
Page 71 and 72: Conference proceedingsNilsson, M.,
Page 73 and 74: Selection of plot data to represent
Page 75 and 76: set, in the BIOMASS and IRIS projec
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the end of the project period. The
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y a study of the consequences for H
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Field trials in the project Data ac
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Fulfillment of objectivesThe main e
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vests? As a result, for the identif
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Figure 26. The spatial layout of ha
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Multi-Criteria Decision AnalysisPro
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!"#$%&'N)';%&4&32-2",3',6'5-2-'6,%'
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problems. Spatial problems pose par
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Forest owner behaviour and dynamics
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area between these size groups has
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Programme managementWhen the second
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Funding and expenditureFundingThe s
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Publications in phase I and phase I
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Freeman, M., Severinsson, T., Moré
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Pettersson, H. & Ståhl, G. 2006. F
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forests at the landscape level. MSc
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Lanvin, J-D. Bajric, F. Wilhelmsson
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ceedings from the 24th EARSeL Sympo
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ceedings 3rd Forest Engineering Con
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Lämås, T., Ståhl, G. och Dahlin,
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Anon., 2005. The Heureka Research P
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The Heureka Research Programme - Mistra

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