The Heureka Research Programme - Mistra

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allocation. <strong>The</strong> former is one of the best documented methods applied inforestry situations, while the latter is possibly intuitively easiest to understand;see Kangas et al. (2008) for an overview of methods.To ensure the usability of the software a cognitive walk-through was performedon a prototype of the program. Several difficulties, including ambiguoustaxonomy, were detected, some of which could be addressed beforethe field test. <strong>The</strong> walk-through also highlighted which parts of the processneeded to be conducted by the consultant and which parts could potentiallybe left to the end user, the forest owner.;.-3'
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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 and 26:
Implementations in practical forest
Page 27 and 28:
Thematic research projectsGrowth an
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
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: Multi-Criteria Decision AnalysisPro
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 and 110: forests at the landscape level. MSc
Page 111 and 112: Lanvin, J-D. Bajric, F. Wilhelmsson
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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The Heureka Research Programme - Mistra

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