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Mechanized tree planting in Nordic forestry: simulating a machine concept for continuously advancing site preparation and planting

Manner, Jussi and Ersson, Back Tomas (2021). Mechanized tree planting in Nordic forestry: simulating a machine concept for continuously advancing site preparation and planting. Journal of Forest Science. 67 , 242-246
[Research article]

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Abstract

As labour for manual tree planting becomes scarcer, regeneration costs are steadily increasing in Nordic forestry. Today’s intermittently advancing tree planting machines provide excellent silvicultural results, but are expensive to operate because of poor productivity. In contrast, continuously advancing planting machines, thanks to high productivities, are increasingly being regarded as a solution to these runaway regeneration costs. The Silva Nova was a historical, continuously advancing tree planting machine with high productivity. However, Silva Nova’s weaknesses included high labour costs (it required two operators) and the random nature of how it chose planting spots. In contrast, SuperSilva, a purely conceptual modernisation of Silva Nova, involves both automation and microsite identification to make the machine more efficient. We used discrete-event simulation to analyse the stocking rate and spatial distribution of tree planting with SuperSilva. The simulation results showed that introducing sensors for identifying suitable microsites will allow continuously advancing planting machines (like SuperSilva) to plant seedlings in a numerically and spatially adequate manner on moraine soils. Hence, these sensors will increase the competitiveness and versatility of tree planting machines. Unfortunately, such reliable and robust sensor technology (unaffected by a wide variety of operating conditions) is not yet commercially available.

Authors/Creators:Manner, Jussi and Ersson, Back Tomas
Title:Mechanized tree planting in Nordic forestry: simulating a machine concept for continuously advancing site preparation and planting
Series Name/Journal:Journal of Forest Science
Year of publishing :2021
Volume:67
Page range:242-246
Number of Pages:5
ISSN:1212-4834
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:tree planting machine, disc trenching, discrete-event simulation, reforestation, silviculture, microsite
URN:NBN:urn:nbn:se:slu:epsilon-p-112485
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-112485
Additional ID:
Type of IDID
DOI10.17221/203/2020-JFS
ID Code:24674
Faculty:S - Faculty of Forest Sciences
Department:(S) > Department of Forest Biomaterials and Technology
(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:23 Jun 2021 15:50
Metadata Last Modified:23 Jun 2021 15:51

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