The Heureka Research Programme - Mistra

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intervjuundersökning inom Heureka fas 1. Skogforsk, working report (manuscript).Thor, M., Arlinger, J. & Stenlid, J. 2005. Stubbehandling mot rotröta lönsam – också islutavverkning. Skogforsk Resultat nr 9. (In Swedish.)Thor, M., Arlinger, J. & Stenlid, J. 2005. Stump treatment profitable in final felling too.Skogforsk Results No. 3.Wikström, P. 2005b. Rapport från test 1 av applikationen för strategisk/taktisk planeringpå Sveaskog. Stencil 2005-09-05.Working papersAndersson; M., Kindstrand, C., Boman, M., Mattsson, L. & Gong, P. 2005. Coping withnon-timber benefits in forest management: An economic perspective. SLU, Dept ofForest Economics, Working report 353.Barth, A., Hannrup, B., Möller, J. & Wilhelmsson, L. 2008. Validering av FORAN Single-Tree® Method. Skogforsk, Working Report No. 666. (In Swedish).Bohlin, J. 2005. Visualisering av skog och skogslandskap - erfarenheter från användningav Visual Nature Studio 2 och OnyxTree. Department of Forest Resource Managementand Geomatics, SLU, Working report no 136.Boman, M., Huhtala, A., Nilsson, S., Ahlroth, S., Bostedt, G. Mattsson, L. & Gong, P. 2003.Applying the Contingent Valuation Method in Resource Accounting: A bold proposal.Working Report No. 85, National Institute of Economic Research, Stockholm.Ekstrand, M. and Skutin, S-G. 2005. Virkesstyrningssystem, slutrapport för applikationenoperativ planering inom forskningsprogrammet Heureka, fas 1. Skogforsk, workingreport (manuscript).Elfving, B. 2003a. Top height development in spruce plantations. SLU, Dept. of Silviculture.Working Papers 185. (In Swedish).Elfving, B. 2003b. Assigning age to individual trees in growth predictions. SLU, Dept. ofSilviculture. Working Papers 182. (In Swedish).Elfving, B. 2009. Growth modeling in the Heureka System. (in prep).Eriksson L. 2008. Treatment decisions in privately owned forestry. Report 11/2008.Dept. of Forest Products. Swedish University of Agricultural Sciences. ISSN:1654-1383.In Swedish with English summary.Freeman, M. & Elfving, B. 2005. Empiriska produktionsmodeller och klimatförändringar-tillämpning av process baserad modellering. (Empirical growth models and climatechange- applying process based modeling).Forsberg, M. 2003. Transportsamordning Nord – analys av returtransporter. Skogforsk,Working report No. 529, 2003 (in Swedish).Granqvist Pahlén, T., Nilsson M., Egberth, M. & Hagner, O. 2005. “kNN-Sverige 2000– Rikstäckande uppskattningar av skogliga variabler med satellitdata från Landsat ochprovytedata från riksskogstaxeringen.” Department of Forest Resource Management andGeomatics, SLU, Working report no 136.Hannrup, B. et al. (manuscript). Model description MOE and MOR on centerboardsfrom logs. Heureka . 4ppHannrup, B. 2004. Funktioner för skattning av barkens tjocklek vid avverkning medskördare. The Forestry Research Institute of Sweden, Uppsala, Work report No 575, 35pp. (In Swedish).Hansson, P.2008. Förstudie av mjukvara för skoglig inventering. Stencil. 41 p110
Lanvin, J-D. Bajric, F. Wilhelmsson, L. Moberg, L. Arlinger, J. Möller, J. Bramming, J.Nordmark, U. 2007. D3.2 Existing models and model gap analyses for wood properties.Results from the EU-Integrated Project, Sixth Framework Programme, Priority 2, InformationSociety Technologies, n° 34732: INDISPUTABLE KEY. European Commission.51 pp.Moberg, L. 2005a. Models of stem taper and eccentricity for Norway spruce and Scotspine. The Forestry Research Institute of Sweden, Uppsala, Work report No. 591.Olofsson, K. 2003. TreeD version 0.8, An Image Processing Application for Single TreeDetection. SLU, Inst för skoglig resurshushållning och geomatik. Arbetsrapport 106.Tomé, M. & Fais, S. (eds), 2007. Report describing version 1 of the regional simulators.EFORWOOD Tools for Sustainability *Impact Assessment. Deliverable PD 2.5.6.Wallerman, J. 2009. Krycklan. Working report (in progress).Wilhelmsson, L. 2005a. Characterisation of stem, wood and fiber properties - industrialrelevance. The Forestry Research Institute of Sweden, Uppsala, Work report No 590. 25pp.Wilhelmsson, L. 2007. Model for calculation of fibre collaps resistance. Heureka 4 pp.Öhman, K. 2007. Rumslig hänsyn i skoglig planering. Arbetsrapport 195, SLU.Papers in Conference proceedingsAndersson, G. 2004. Logistikvision 2004. Proceedings of the Research & DevelopmentConference 2004. Skogforsk, Redogörelse No. 1, 91-92, 2004 (In Swedish)Arlinger, J., Moberg, L., Möller, J.J. & Wilhelmsson, L. Automatic timber quality determinationusing wood property models and harvester measurements. 2009. In Dykstra, D.& Monserud, R. (Eds.): Proceedings from the conference ”Forest Growth and TimberQuality: Crown Models and Simulation Methods for Sustainable Forest Management”.Portland, Oregon, USA, August 7-10, 2007.Backéus, S., Lämås, T. and Wikström, P. 2003. Regional analyses of carbon sequestrationand timber production potentials - A case study in northern Sweden. In: Vacik, H. et al[eds.]: Decision support for multiple purpose forestry. A transdisciplinary conference onthe development and application of decision support tools for forest management, April23-25, 2003, University of Natural Resources and Applied Life Sciences, Vienna, Austria,CD-Rom Proceedings.Bohlin, J., Olsson, H., Olofsson, K. & Wallerman, J. 2006. Tree species discriminationby aid of template matching applied to digital air photos. In: Proceedings, InternationalWorkshop, 3D Remote sensing in forestry. Vienna. 14th-15th Feb. 2006. pp 199-203.Boman, M. 2003. Vilt och välfärdsekonomi. Kungl. Skogs- och LantbruksakademiensTidskrift Årg 142, Nr 2, pp. 35-39. (In Swedish)Domeij, E. & Elfving, B. 2001. A method to estimate leaf area and biomass of old Scotspine trees with image analysis. Abstract in: LeMay, V. and Marshall, P. 2001. (Eds.) Forestmodelling for ecosystem management, forest certification and sustainable management.Proceedings, UBC, Canada, p. 469.Elfving, B. 2002. Growth and yield models for uneven-aged stands. Extended abstract inproceedings from the SNS Meeting 2001: Nordic Trends in Forest Inventory, ManagementPlanning and Modelling. METLA Research Report 860, p. 133-139.Elfving, B, Freeman, M., and Mörling, T. 2005. Correlation between weather conditionsand tree growth for Scots pine and Norway spruce in northern Sweden. In: (Innes, J.L.,111
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ContentsResearch Programme 5Applica
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Growth and yieldmodelsSP1 Forest Ec
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forest production, and social value
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Applications of the Heureka systemT
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data, improving opportunities to in
Page 15 and 16:
User valueA complete decision suppo
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opment scenarios for a stand that w
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Programme meeting including an excu
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forest roads, 10 time periods, four
Page 23 and 24:
Figure 6. Examples of screen layout
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Implementations in practical forest
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Thematic research projectsGrowth an
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600PineSpruceBirch500400Max-age, yr
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Specification of silviculturaland n
Page 33 and 34:
zones and other tree groups. Border
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expresses the expected potential in
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tions, mainly using current forest
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ReferencesPopular science publicati
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identified relationships were used
Page 43 and 44:
Fulfilment of objectivesThe goal of
Page 45 and 46:
Soil biogeochemical modellingProjec
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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
Page 77 and 78: the end of the project period. The
Page 79 and 80: y a study of the consequences for H
Page 81 and 82: Field trials in the project Data ac
Page 83 and 84: Fulfillment of objectivesThe main e
Page 85 and 86: vests? As a result, for the identif
Page 87 and 88: Figure 26. The spatial layout of ha
Page 89 and 90: Multi-Criteria Decision AnalysisPro
Page 91 and 92: !"#$%&'N)';%&4&32-2",3',6'5-2-'6,%'
Page 93 and 94: problems. Spatial problems pose par
Page 95 and 96: Forest owner behaviour and dynamics
Page 97 and 98: area between these size groups has
Page 99 and 100: Programme managementWhen the second
Page 101 and 102: Funding and expenditureFundingThe s
Page 103 and 104: Publications in phase I and phase I
Page 105 and 106: Freeman, M., Severinsson, T., Moré
Page 107 and 108: Pettersson, H. & Ståhl, G. 2006. F
Page 109: forests at the landscape level. MSc
Page 113 and 114: ceedings from the 24th EARSeL Sympo
Page 115 and 116: ceedings 3rd Forest Engineering Con
Page 117 and 118: Lämås, T., Ståhl, G. och Dahlin,
Page 119: Anon., 2005. The Heureka Research P
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