The Heureka Research Programme - Mistra

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e tested in relation to stem form development. Effects of suppression andrelease of trees on this relationship are complex and not specifically handledso far. Mortality functions have been developed on the basis of data fromlong-term thinning experiments, but they have not yet been implementedin the Heureka system since they only concern pure and even-aged pine andspruce stands. (The present Heureka mortality functions are based on NFIdata.) The system for tree selection at thinning works well, but is difficult tohandle and has weak empirical foundations. Ideas for development have beenpresented but further studies are needed before a new system can be implemented.It is also important to continuously follow the growth level in orderto detect deviations between true and projected growth. Effects of changes inthe climate and nitrogen deposition can be expected, but must be empiricallyverified.3,02,5ObsEstiG5, m²/ha2,01,51,0Numb.of plots300020000,510000,00 20 40 60 80 100 120 140 160 180 200Stand age, yrs0Figure 8. Partial relationship between basal area growth and stand age: numbers of observationsand observed and estimated growth in different age classes. Observed data from, and estimateddata for, the permanent NFI-plots in the first observation period (iG5=five-year basalarea increment).28
600PineSpruceBirch500400Max-age, yrs300200100016 20 24 28 32Site index (SIS), mFigure 9. Tree longevity: maximum ages for trees of different species according to studies onage-determined sample trees in the NFI plots. Those relations were used in functions for mortalitydue to tree ageing.302520Top height, m15105PineSpruceBirchAlderAspenBeechOak00 20 40 60 80 100Total age, yrsFigure 10. Patterns of height growth for different tree species with top heights passing 16 m atage 50 years, based on functions for height growth derived from data from both temporary andlong-term yield plots.29
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 and 26: Implementations in practical forest
Page 27: Thematic research projectsGrowth an
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 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 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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