The Heureka Research Programme - Mistra

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ReferencesScientific articlesElfving, B. 2009. Natural mortality in thinning and fertilization experiments with pineand spruce in Sweden. Submitted.Elfving, B. 2009. Top height development in thinning and fertilization experiments withpine and spruce in Sweden. Submitted.Working papersElfving, B. 2009. Growth modeling in the Heureka system. In prep.30
Specification of silviculturaland natural conservation treatmentsProject leader: Ulf Söderberg, Dept. of Forest Resource Management, SLU, Umeå.Participants: Björn Elfving, Dept. of Forest Ecology and Management, Kenneth Nyström,Dept. of Forest Resource Management, SLU, Umeå.Project aimThe aim of this project was to provide the Heureka system with adequateroutines for regulating and controlling the system to obtain the desiredscenarios for the user. One part of the project was to evaluate existingspecifications of silvicultural treatments, and if appropriate use them ordevelop them further. Another was to develop new specifications, payingspecial attention to the development of specifications for alternativemethods of silvicultural treatments (continuous cover forestry) and specificationsof natural conservation.The project is concerned with one of the core areas of the Heureka systemsince flexible and realistic specifications of silvicultural treatments,natural conservation and other regulating systems are crucial for the outcomeof the system.Methods used in the projectThe methods used were literature studies, interviews and tests of algorithms.Specifications developed in earlier forest management planningsystems were examined (Eriksson 1981, Lind 2003, Wilhelmsson 1981) anddiscussions were held with users of these systems to gain knowledge ofexperiences of different specifications.Various currently available applications were also evaluated, especially severalthinning simulators, in terms of performance and parameter settings.User valueThe results of the project are essential components of the system for theuser that provide, after programming the interface between the user and thesystem, him/her to specify the scenarios he/she wishes to study. The greaterthe flexibility and the more alternative silvicultural and natural conservationtreatments that can be specified, the greater the value for different users.Scientific resultsThe results of the project are a considerable number of specificationsdelivered to the system development group. The evaluation of the existingthinning simulators showed that two had fairly similar properties fordifferent types of thinning, but one had some advantages that could beused in specifications of alternative silvicultural treatments.The specifications of the traditional silvicultural treatments have beenchecked and documented for the Heureka-system. They cover all mainsilvicultural treatments, including soil scarification, regeneration methods,specifications for prioritising and performing thinning and final felling,31
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 and 28: Thematic research projectsGrowth an
Page 29: 600PineSpruceBirch500400Max-age, yr
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
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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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