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Empirical observations of the yield of logs from trees of the boreal region

Kärenlampi, Petri P. (2022). Empirical observations of the yield of logs from trees of the boreal region. Baltic Forestry. 28 :1 , 556
[Research article]

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Abstract

The yield of sawlogs and plywood logs from boreal trees is discussed. First, taper curves are used to compute geometric (maximal) sawlog and plywood log contents. Then, a quality reduction is implemented, according to previously published models. Finally, the outcome is verified using empirical observations. Regarding spruce trees, the different estimates of sawlog content agree. In the case of birch and pine trees, the estimates differ. The sawlog and plywood log yield from large trees is greater than prognosticated, probably due to missing over-aged trees in the empirical data. The yield of sawlogs and plywood logs from small trees is smaller than prognosticated, most of the empirical data originating from thinnings with a focus on the quality of the remaining trees. The sawlog content of individual trees from clearcutting displays a skew distribution around the expected value. The distribution in thinning trunks shows a binary component, with a large proportion of trees with zero sawlog content.

Authors/Creators:Kärenlampi, Petri P.
Title:Empirical observations of the yield of logs from trees of the boreal region
Series Name/Journal:Baltic Forestry
Year of publishing :2022
Volume:28
Number:1
Article number:556
Number of Pages:6
Publisher:INST FORESTRY LRCAF
ISSN:1392-1355
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:sawlog, plywoodlog, Picea abies, Betula species, Pinus sylvestris
URN:NBN:urn:nbn:se:slu:epsilon-p-118927
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-118927
Additional ID:
Type of IDID
DOI10.46490/BF556
Web of Science (WoS)000843642000010
ID Code:28845
Deposited By: SLUpub Connector
Deposited On:14 Sep 2022 13:25
Metadata Last Modified:14 Sep 2022 13:31

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