System for objective field surveys for long-term planningProject leader: Anna Ringvall, Dept. of Forest Resource Management, SLU, UmeåParticipants: Sören Holm, Per Hansson, Dept. of Forest Resource Management, SLU,Umeå.Project aimSince the introduction of the Forest Management Planning Package (FMPP;Jonsson et al. 1993) in the 1980’s, long-term planning in large-scale forestryin Sweden has been largely based on data collected by objective plot surveysin an objectively selected sample of stands. This type of inventory providesunbiased estimates with, for larger areas, a high precision (small standarderrors). However, in <strong>Heureka</strong>, different types of spatial analyses are a corecapability. For such analyses, data from all stands in the target area are neededand methods to obtain such data have been developed within the projectData acquisition for long term planning. However, given the higher accuracyof estimates from objective field surveys, there will be, at least initially,demands for some analyses, e.g., to determine cutting levels at a company level,based on data from objective field surveys in a sample of stands. In contrastto data originating from imputation, data from objective field surveys containdetailed tree data in addition to detailed site data, which are important fore.g., growth functions.<strong>The</strong> system for objective field surveys in the FMPP has been well tested,in terms of both the methodology and dimensioning. New challenges with<strong>Heureka</strong> included the potential need to incorporate new variables, for examplein the models developed for non-timber values. <strong>The</strong> data from an objectivefield survey in a sample of stands should also complement the data for allstands obtained through imputation methods studied within the project Dataacquisition for long term planning, which might have implications for theway the sample stands should be selected. It is also possible that remote sensingdata, e.g., aerial laser scanning data, can be used for more efficient sampledesign both at stand level and for selecting stands. <strong>The</strong>re have also beenmajor technological developments in handheld computers and GPS sincethe FMPP was developed. Although the FMPP methodology is well-tested,better computer capacity should also enable better studies on a reasonabledimensioning under different demand on accuracy.<strong>The</strong> aim of this project was to develop a cost-efficient system for field surveyto be applied when using the long-term planning application, PlanWise.<strong>The</strong> project consisted of a research-oriented part in which different alternativeswere compared, both for the stratification applied in the selection ofstands and the field survey. <strong>The</strong> second part of the project aimed to implementthe suggested routines, i.e. ensure that the systems were ready for use by76
the end of the project period. <strong>The</strong> main deliverable from this project was anoperational field survey method including:• Definition of variables,• Recommendations of field equipment and specifications for the field surveysoftware,• Routines for planning field surveys (including stratification and selectionof stands), routines for correction of collected data and algorithms for stateestimates and standard error estimates in the application.Methods used in the projectIn the scientific part of the project, different designs and estimators for plotwisefield surveys within stands were compared through Monte Carlo simulations(e.g., Lämås & Ståhl 1996). In these simulations, data from a fieldsurvey and airborne laser scanning at the Remingstorp estate in southwestSweden were used (Holmgren & Wallerman 2006). Different measures fromlaser data were extracted for each field plot and used as auxiliary informationeither in the layout of plots (stratification) or for estimation (calibration estimator).Different alternatives for calculation of calibration ratios for height andvolume predictions (from regional functions) were tested on sample tree datafrom an objective field survey using FMPP in Västerbotten performed by thecompany SCA. Effects on estimates of the different alternatives were studiedthrough Monte-Carlo simulations.In the development-oriented part of the project, a large portion of thework consisted of writing instructions for the system development group.Many of the routines were already used in the FMPP but still needed to bedescribed for this group.<strong>The</strong> developed application for field computers was tested within this projectin a field survey at the test site Krycklan in Vindeln. Data from this fieldsurvey were then also used for testing routines for calculating calibrationratios and estimating the current state in the application PlanStart (Ringvall2009).User valueBased on the descriptions of routines created within this project, a systemfor objective field surveys has been developed. Although alternatives werestudied, the final methodology largely resembles the methodology used inFMPP. With the developed system, implemented in the applications Iventand PlanStart, the same type of analyses as previously made by FMPP can bemade by PlanWise. <strong>The</strong> applications Ivent and PlanStart also have some newfunctionality in comparison with FMPP. <strong>The</strong> two applications can also beused independently for other types of plot surveys. For example, Ivent hasalready been used for field surveys in remote sensing-oriented research studies.77
- 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 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: set, in the BIOMASS and IRIS projec
- 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