2019
DOI: 10.14214/sf.10134
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Soil disturbance by cut-to-length machinery on mid-grained soils

Abstract: Factors affecting soil disturbance caused by harvester and forwarder were studied on mid-grained soils in Finland. Sample plots were harvested using a one-grip harvester. The harvester operator processed the trees outside the strip roads, and the remaining residues were removed to exclude the covering effect of residues. Thereafter, a loaded forwarder made up to 5 passes over the sample plots. The average rut depth after four machine passes was positively correlated to the volumetric water content at a depth o… Show more

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Cited by 19 publications
(14 citation statements)
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“…Logging on frozen soil covered by snow is more effective, as it causes less damage to the soil surface (Modry & Hubeny 2003, Susnjar et al 2006, Ilintsev et al 2018. However, climate change has reduced the duration of the soil-freezing period, shifting the timing of both its onset and its end (Toivioa et al 2017, Sirén et al 2019. This impacts the timing of logging operations.…”
Section: Introductionmentioning
confidence: 99%
“…Logging on frozen soil covered by snow is more effective, as it causes less damage to the soil surface (Modry & Hubeny 2003, Susnjar et al 2006, Ilintsev et al 2018. However, climate change has reduced the duration of the soil-freezing period, shifting the timing of both its onset and its end (Toivioa et al 2017, Sirén et al 2019. This impacts the timing of logging operations.…”
Section: Introductionmentioning
confidence: 99%
“…A similar conclusion was reached by Saarilahti [32], who proved that the first 15 cm below the surface is the most important soil layer from the point of view of the movement of vehicles used in the timber harvesting process. Numerous studies [49][50][51] concerning the depth of ruts formed in the harvesting process clearly confirm that, under conditions present in Europe, the impact of machines on forest soils is really limited to the top 10-15 cm layer.…”
Section: Discussionmentioning
confidence: 92%
“…We believe that model 1 where VWC, cumulative mass of machine passes, BD and thickness of the humus layer are the main predictors is versatile enough to be utilized in various circumstances of forest soils where the inorganic layer is comprised of fine particles. The model performance in comparison to the models presented by Allman (2017), Sirén et al (2019b) in finegrained and Sirén et al (2019a) in middle grained soils is illustrated in Fig. 4, and the summary of the parameters used in these models is shown in Table 6.…”
Section: Discussionmentioning
confidence: 99%