Potential recovery of industrial wood and energy wood raw material in different cutting and climate scenarios for Finland

Kärkkäinen, Leena; Matala, Juho; Härkönen, Kari; Kellomäki, Seppo; Nuutinen, Tuula

doi:10.1016/j.biombioe.2008.01.008

Cited by 40 publications

(44 citation statements)

References 18 publications

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“…6.6 Tg a -1 or 33 TWh a -1 ) during the first period had lower values than those estimated by Hakkila (2004), Asikainen et al (2008) and Kärkkäinen et al (2008). This might be a result of the different cutting scenarios, logging residues components and their recovery at varying thinning stages.…”

Section: Discussionmentioning

confidence: 60%

“…Thus, results from those studies may not directly be comparable with our findings. For example, low quality timber as energy biomass raw material and energy biomass extraction (logging residues) in all the commercial thinnings, were not considered in this study as was done by Kärkkäinen et al (2008). However, estimated total energy biomass potential found in this study may be affected by practical limitations, so that the results should be considered as theoretical potentials (Table 8.2).…”

Section: Discussionmentioning

confidence: 99%

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Climate Change and Energy Systems

Björnsson¹,

Þorsteinsson²

2012

TemaNord

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Section: Discussionmentioning

confidence: 60%

Section: Discussionmentioning

confidence: 99%

Climate Change and Energy Systems

Björnsson¹,

Þorsteinsson²

2012

TemaNord

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“…Many modern systems for forest management planning require information at the individual tree level [1][2][3][4] or, at least, about the distribution of stem diameters at breast height (DBH) [5]. For the purpose of forest resource planning, unbiased estimates are also essential.…”

Section: Introductionmentioning

confidence: 99%

Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods

Lindberg

Holmgren

Olofsson

et al. 2010

International Journal of Remote Sensing

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Individual tree crowns may be delineated from airborne laser scanning (ALS) data by segmentation of surface models or by 3D analysis. Segmentation of surface models benefits from using a priori knowledge about the proportions of tree crowns, which has not yet been utilized for 3D analysis to any great extent. In this study, an existing surface segmentation method was used as a basis for a new tree model 3D clustering method applied to ALS returns in 104 circular field plots with 12 m radius in pine-dominated boreal forest (64°14'N, 19°50'E). For each cluster below the tallest canopy layer, a parabolic surface was fitted to model a tree crown. The tree model clustering identified more trees than segmentation of the surface model, especially smaller trees below the tallest canopy layer. Stem attributes were estimated with k-Most Similar Neighbours (k-MSN) imputation of the clusters based on field-measured trees. The accuracy at plot level from the k-MSN imputation (stem density root mean square error or RMSE 32.7%; stem volume RMSE 28.3%) was similar to the corresponding results from the surface model (stem density RMSE 33.6%; stem volume RMSE 26.1%) with leave-one-out cross-validation for one field plot at a time. Three-dimensional analysis of ALS data should also be evaluated in multi-layered forests since it identified a larger number of small trees below the tallest canopy layer.

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“…Analyses of the forest biomass potentials have been integrated into the MELA System (Siitonen et al 1996), which is a Finnish forestry model and an operational decision support system for forest management planning (see Kärkkäinen et al 2008). A MELA analysis with NFI10-NFI11 data for the largest sustainable harvesting level of merchantable wood and energy wood in Central Finland for the years 2009-2018 shows a cutting removal rate of 6.2 million m 3 /a for merchantable wood.…”

Section: Discussionmentioning

confidence: 99%

Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints

Muinonen¹,

Anttila²,

Heinonen³

et al. 2013

Silva Fenn.

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The technical potential of forest chips from final fellings in Central Finland was estimated using a method based on biomass maps derived from a multi-source forest inventory technique. Image segmentation techniques were applied to a satellite image mosaic to detect stand boundaries. The technical potential of forest chips was computed based on primary forestry residues, i.e. logging residues and stumps from final fellings. Harvesting level definitions for final fellings were established using realized statistics for roundwood at the municipality level as well as larger area statistics. The sensitivity of the potential to ecological and technical constraints in the model was also examined. The technical recovery rate of stump harvesting according to biomass harvesting guidelines was evaluated separately. The critical prerequisites for using the advanced, spatially explicit approach to analysing forest energy potentials may lie in the existence of spatially explicit forest inventory data and the biometric models for tree biomass assortments. The method applied was capable of taking into account the constraints that rely upon map data, such the actual forwarding distance or steepness of the slope in the terrain. The calculation results can be used for strategic decision making in the field of forest bioenergy production.

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Potential recovery of industrial wood and energy wood raw material in different cutting and climate scenarios for Finland

Cited by 40 publications

References 18 publications

Climate Change and Energy Systems

Climate Change and Energy Systems

Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods

Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints

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