Table 1. The main characteristics of the study stands.
Study site Study trail Number of
sample plots
Volume of trees, Vplot
m3/ha
Stem density
n/ha
Dry mass of
logging residues
kg/ha
Site type a)
1 1 4 104 1865 17200 Vatkg
1 2 4 64 1350 9100 Vatkg
1 3 4 79 1688 9100 Vatkg
1 4 4 76 1103 9500 Vatkg
2 1 3 160 1193 21700 Ptkg
2 2 4 130 1302 17300 Ptkg
2 3 4 129 1760 15500 Ptkg
2 4 4 112 1307 13500 Ptkg
2 5 4 115 960 13700 Ptkg
2 6 4 122 1060 11400 Ptkg
3 1 4 184 1497 31000 Ptkg
3 2 4 126 1142 20600 Ptkg
3 3 4 170 1360 28600 Ptkg
3 4 4 139 1228 22100 Ptkg
a) Site type classification according to Laine and Vasander (2005).
1

Fig. 1. Manually operated plate loading device.

2

Fig. 2. Spiked shear vane for measuring the shear modulus of the root layer of peatland.

Table 2. Technical data for the machines used in the study.
Equipment John Deere 1270D
harvester
John Deere 1110D
forwarder
ProSilva 15-4ST
forwarder
Front axle Number of wheels 4 4 -
Tyres 710/40-22.5 710/45-26.5 -
Tracks Clark Terra TL-85 Clark Terra TL85 excavator type
Track width, mm 730 780 810
Length of track soil contact on hard ground, mm     2200
Net mass with tracks or chains, kg 10160 12280 9140
NGP, kPa 50 52 25
Rear axle Number of wheels 2 4  
Tyres 650/60-26.5 710/45-26.5  
Tracks   Terra-X TXL150 excavator type
Track width, mm (wheel chains) 887 810
Length of track soil contact on hard ground, mm     2700
Net mass with tracks or chains, kg 7240 9940 10120
Mass of load, kg - 8500 8000
NGP, kPa (unloaded/loaded) 74 32/59 23/41
Table 3. Means of the main factors of the peat land in the study trails. Gpoint = Shear modulus of measurement point, Epoint = Modulus of elasticity of measurement point, CPRpoint = Cone penetration resistance of measurement point, VWCpoint = Volumetric water content of measurement point, GWT = Ground water table level, Peat depth = Depth of peat layer and Shrubsplot = Coverage of mire dwarf shrubs within the plot.
Study site Study trail Gpoint Epoint CPRpoint VWCpoint GWT Peat depth Shrubsplot
Mean (std.dev.) KPa Mean (std. dev.)
KPa
Mean (std. dev.)
KPa
Mean (std. dev.)
%
Mean
cm
Mean
cm
Mean
%
1 1 43.1 91.3 271 55.4 41 290 26.3
2 39.5 111 249 57.0 - 269 15.0
3 44.2   232 60.3 - 284 38.6
4 40.2 89.1 237 49.1 40.3    
All 41.8 (15.8) 96.8 (33.4) 247 (89.1) 55.5 (11.5) 40.6 286 29.4
2 1 45.6 95.0 392 45.1 65.7 138 33.3
2 35.4 62.7 159 37.0 60.8 155 20.0
3 31.8 69.6 219 44.4 59.0 166 18.3
4 47.5 93.2 257 33.9 57.8 198 13.8
5 47.5 93.2 265 43.1 59.5 171 16.3
6 - - 253 47.4 62.0 164 22.5
All 37.0 (18.1 76.5 (35.4) 251 (110) 41.7 (16.2) 60.3 167 20.2
3 1 37.1 75.0 343 37.3 - 190 22.5
2 30.9 41.4 252 37.6 - 206 8.75
3 48.3 75.9 317 43.1 - 188 10.0
4 36.4 93.9 289 40.4 - 178 12.5
All 38.2 (16.4) 71.6 (37.1) 300 (138) 39.6 (9.26) 68.4 190 13.4
All   38.9 (16.9) 81.4 (36.8) 265 (116) 45.1 (14.7) 58.0 208 20.9
Table 4. Means of rut depths by study trails. RutHarvplot = Mean of rut depths caused by harvester within the sample plot and RutForwplot = Mean of rut depths after one harvester pass, one forwarder pass unloaded and one forwarder pass loaded within the sample plot. For study site 1, study plots with (Brash mat = 1) and without brash mat (Brash mat = 0) are given separately.
Study site Study trail Brash mat Forwarder type RutHarvplot
cm
RutForwplot
cm
1 1 1 Tracked forwarder 10.4 12.1
0 Tracked forwarder 18.6 22.9
2 1   11.1 -
0   18.5 -
3 1   13.8 -
0   29.4 -
4 1 Tracked forwarder 9.6 15.8
0 Tracked forwarder 19.1 26.9
2 1 1 Tracked forwarder 7.0 9.0
2 1 Wheeled forwarder 11.7 17.7
3 0 Wheeled forwarder 23.7 32.3
4 0 Tracked forwarder 24.1 24.4
5 1 Wheeled forwarder 8.2 17.8
6 1   7.5  
3 1 1   8.7 -
2 0   13.8 -
3 0 Tracked forwarder 13.6 17.7
4 1 Tracked forwarder 13.5 16.0
Mean       12.5 17.7
Table 5. Correlation coefficients between rut depth, mechanical properties of peat soil and factors affecting the mechanical properties. P-values and number of observations are given in the rows below the coefficient. Values printed in bold indicate significant correlation. Vplot = Volume of trees within the plot, Peat depth = Depth of peat layer, Shrubsplot = Coverage of mire dwarf shrubs within the plot, VWCplot = Mean of volumetric water content within the plot, CPRplot = Mean of cone penetration resistance within the plot, Eplot = Mean of modulus of elasticity within the plot, Gplot = Mean of shear modulus within the plot, RutHarvplot = Mean of rut depths caused by harvester within the sample plot with brash mat (Brash mat = 1) and without brash mat (Brash mat = 0).
  Vplot
(m3/ha)
Peat depth (cm) Shrubsplot (%) VWCplot
(%)
CPRplot (KPa) Eplot
(KPa)
Gplot
(KPa)
RutHarvplot Brash mat
= 0 (m)
RutHarvplot Brash mat
= 1 (m)
Vplot (m3/ha)
1 –0.571
0.000
55
–0.205
0.133
55
–0.476
0.000
55
0.281
0.038
55
0.357
0.010
–0.065
0.650
51
–0.451
0.018
27
–0.171
0.395
28
Peat depth (cm)
  1 0.297
0,028
55
0.555
0.000
55
–0.083
0.548
55
0.364
0.009
51
0.157
0.270
51
0.407
0.035
27
–0.008
0.968
28
Shrubsplot
(%)
    1 0.411
0.002
55
–0.021
0.878
55
0.264
0.061
51
0.194
0.174
51
0.060
0.764
27
–0.037
0.855
28
VWCplot (%)

      1 –0.120
0.382
55
0.563
0.000
51
0.382
0.006
51
0.329
0.093
27
–0.125
0.533
28
CPRplot (kPa)
        1 0.233
0.100
55
0.203
0.153
55
–0.465
0.014
27
–0.134
0.506
28
Eplot (kPa)           1 0.507
0.000
51
–0.046
0.819
27
–0.065
0.764
28
Gplot (kPa)             1 –0.282
0.155
27
–0.456
0.025
28
RutHarvplot
Brash mat
= 0 (m)
              1 0
RutHarvplot
Brash mat
= 1 (m)
                1
Table 6. Mixed-linear models predicting rut depths after one harvester pass (RutHarvijkl). N = 255. Gpoint = Shear modulus of measurement point, Vplot = Volume of trees within the plot, VWCpoint = Volumetric water content of measurement point, Brash mat is a binary variable that takes the value 1 in the case study plot has brash mat and 0 in the case study plot has no brash mat, “ * ” is the symbol of multiplication, var(ujkl) = variance of the plot, var(vkl) = variance of trail, var(yl) = variance of site, var(eijkl) = residual variance and AIC = Akaike’s Information Criterion.
Model 1 2 3
Parameter Estimate
(SE)
Sig. Estimate
(SE)
Sig. Estimate
(SE)
Sig.
Fixed
Intercept 32.7
(12.4)
.013 39.6
(13.3)
.001 –224
(107)
.038
lnGpoint     –1.59 .210 70.9
(29.7)
.018
lnVplot –4.68
(2.57)
.078 –4.93
(2.52)
.060 25.9
(15.6)
.098
lnVWCpoint         31.4
(14.8)
.035
lnVplot * lnGpoint         –8.48
(4.22)
.046
lnGpoint * lnVWCpoint         –8.63
(4.15)
.039
[Brash mat = 0] 9.09
(1.63)
.000 8.87
(1.61)
.000 9.04
(1.61)
.000
[Brash mat = 1] 0   0   0  
Random
var(ujkl) 11.7
(4.52)
.010 11.2
(4.43)
.005 10.9
(4.31)
.012
var(vkl) 7.24
(4.90)
.140 7.00
(4.66)
  7.06
(4.76)
.138
var(yl) .000   .000   .000  
var(eijkl) 38.6
(3.82)
.000 38.6
(3.83)
.000 37.6
(3.73)
.000
AIC 1728.2   1728.6   1728.3  
Table 7. Mixed-linear models predicting rut depths after one harvester pass and two forwarder passes (RutForvijkl). N = 165. Gpoint = Shear modulus of measurement point, Vplot = Volume of trees within the plot, VWCpoint = Volumetric water content of measurement point, Brash mat is a binary variable that takes the value 1 in the case study plot has brash mat and 0 in the case study plot has no brash mat, Forwarder type is a binary variable that takes the value “Wheeled forwarder” in the case of the John Deere and “Tracked forwarder” in the case of the Prosilva, “ * ” is the symbol of multiplication, var(ujkl) = variance of the plot, var(vkl) = variance of trail, var(yl) = variance of site, var(eijkl) = residual variance and AIC = Akaike’s Information Criterion.
Model 1 2 3
Parameter Estimate
(SE)
Sig. Estimate
(SE)
Sig. Estimate
(SE)
Sig.
Fixed
Intercept 52.9
(17.6)
.006 69.9
(20.0)
.001 70.2
(17.6)
.000
lnGpoint         –4.51
(1.63)
.006
lnVplot –8.23
(3.65)
.032 –8.88
(3.62)
.020 –8.40
(3.40)
.020
lnVWCpoint     –3.67
(2.33)
.088    
[Brash mat = 0] * [Forwarder type = “Wheeled forwarder”] 19.3
(3.77)
.000 19.3
(3.72)
.000 18.0
(3.73)
.000
[Brash mat = 0] * [Forwarder type = ”Tracked Forwarder”] 8.54
(2.41)
.001 8.36
(2.37)
.001 8.12
(2.25)
.001
[Brash mat = 1] * [Forwarder type = ”Wheeled forwarder”] 4.45
(2.67)
.106 4.05
(2.65)
.137 4.41
(2.49)
.087
[Brash mat = 1] * [Forwarder type = ”Tracked Forwarder”] 0   0   0  
Random
var(ujkl) 23.6
(8.72)
.006 22.7
(8.50)
.008 19.3
(7.70)
.012
var(vkl) .000   .000   .000  
var(yl) .000   .000   .000  
var(eijkl) 46.3
(5.70)
.007 45.9
(5.67)
.000 45.5
(6.16)
.000
AIC 1128.4   1022.1   1018.2