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Prediction of knot size in uneven-sized Norway spruce stands in Sweden
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology.
SCIMOND Sci Serv, Germany.
Albert Ludwigs Univ Freiburg, Germany;Univ Stellenbosch, South Africa.
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology.ORCID iD: 0000-0003-2013-2580
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2023 (English)In: Forest Ecology and Management, ISSN 0378-1127, E-ISSN 1872-7042, Vol. 544, article id 121206Article in journal (Refereed) Published
Abstract [en]

The size of knots is negatively correlated with bending strength in sawn timber and it is therefore used as a quality grading criterion in national roundwood grading standards. Some standards even use the size of the largest knot as the sole estimate for individual log knottiness. The size of knots is determined by crown horizontal extension, which in turn is dependent on the impact of competing trees. Thus, with knot size models that are competition-dependent, roundwood quality due to knottiness can be simulated for different management al-ternatives. However, these types of models, calibrated on uneven-sized Norway spruce in Fennoscandia, are currently not available. Therefore, the objective of this study is to develop a competition-dependent model framework for prediction of the largest knot size per stem height section, for application within uneven-sized Norway spruce stands. Data from terrestrial laser scanning of an uneven-sized stand in southern Sweden are used to calibrate a modular prediction framework, consisting of interlinked allometric statistical models. Alternative framework sub-models are presented and the preferred model combination can be selected according to context and available input data. The flexible modular format enables further development of separate sub-components for adaptation to growing conditions not covered by the current calibration range.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 544, article id 121206
Keywords [en]
Branch model, Stem quality, Uneven-aged, Picea abies, Continuous cover forestry, Crown shape
National Category
Forest Science
Research subject
Technology (byts ev till Engineering), Forestry and Wood Technology
Identifiers
URN: urn:nbn:se:lnu:diva-124635DOI: 10.1016/j.foreco.2023.121206ISI: 001056125800001Scopus ID: 2-s2.0-85163563754OAI: oai:DiVA.org:lnu-124635DiVA, id: diva2:1797760
Available from: 2023-09-15 Created: 2023-09-15 Last updated: 2025-02-04Bibliographically approved

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Fagerberg, NilsLohmander, PeterAlissandrakis, ArisMagnusson, BengtBergh, JohanBader, Martin K.-F.

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Fagerberg, NilsLohmander, PeterAlissandrakis, ArisMagnusson, BengtBergh, JohanAdamopoulos, StergiosBader, Martin K.-F.
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Department of Forestry and Wood TechnologyDepartment of computer science and media technology (CM)Department of Building TechnologyGreen Sustainable Development
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