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Quality and price of spruce logs, determined conventionally and by dendrochronological and NDE techniques
ID
Straže, Aleš
(
Author
),
ID
Novak, Klemen
(
Author
),
ID
Čufar, Katarina
(
Author
)
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https://www.mdpi.com/1999-4907/13/5/729
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Abstract
We examined valuable log assortments of Norway spruce (Picea abies) from a traditional auction in Slovenia where spruce growth on many sites is affected by climate change. From 6620 logs, we selected 817 that obtained the highest prices. Factors including log dimensions and geometry, tree-ring characteristics, quality grades according to the standard, properties measured by NDE stress wave testing, and their combined effect on price were modelled. The results showed that half of the auctioned logs were of highest quality (Q1 , Q2 ), with diameters over 60 cm. These logs were more expensive than the thinner logs of lower quality (Q3 , Q4 ). The quality class of the logs, determined by their external features and geometry, was associated with tree-ring and acoustic characteristics. The artificial neural network model (ANN) with feed-forward backpropagation using tree-ring data, longitudinal stress wave velocity, and damping showed that more than 75% of the logs could be accurately classified into quality classes. On the other hand, tree-ring data and acoustic characteristics could not adequately explain the price offered at auction, which probably also depends on unidentified individual requirements and the needs of the buyer.
Language:
English
Keywords:
Norway spruce
,
log quality
,
tree-ring characteristics
,
NDE measurements
,
price
,
auction
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
BF - Biotechnical Faculty
Publication status:
Published
Publication version:
Version of Record
Publication date:
01.01.2022
Year:
2022
Number of pages:
15 str.
Numbering:
Vol. 13, iss. 5
PID:
20.500.12556/RUL-142061
UDC:
630*8
ISSN on article:
1999-4907
COBISS.SI-ID:
108420867
Publication date in RUL:
19.10.2022
Views:
588
Downloads:
93
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Record is a part of a journal
Title:
Forests
Shortened title:
Forests
Publisher:
MDPI
ISSN:
1999-4907
COBISS.SI-ID:
3872166
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
navadna smreka
,
priraščanje lesa
,
dendrokronologija
,
kvaliteta hlodovine
,
cena hlodovine
,
neporušno testiranje
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P4-0015-2015
Name:
Les in lignocelulozni kompoziti
Funder:
ARRS - Slovenian Research Agency
Project number:
P4-0430-2022
Name:
Gozdno-lesna veriga in podnebne spremembe: prehod v krožno biogospodarstvo
Funder:
ARRS - Slovenian Research Agency
Project number:
V4-2016-2020
Name:
Možnosti rabe lesa listavcev v slovenskem biogospodarstvu
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