ESM Figure 1ESM Table 1.Description and label of habitat and topographic variables used for moose (Alcesalces) habitat selection in south-central Sweden 2007-2011.
Variable DescriptionLabel
BogBogs and miresbogs
Clear cutClear cut ≤5 years oldclearcut
Unproductive forestBogs and bedrock with scattered trees and low woodforestbog
productivity <1m3ha-1yr-1
Established forestTree H>5m with wood productivity of >1m3ha-1yr-1estforest
HumanHuman settlements and landscapes developed for human usehuman
PasturesCultivating land, grasslandpasture
WaterLakes, ponds, rivers, and estuarieswater
Young forestClear cut >5 years old and H<5myngforest
Distance to humansEuclidean distances from human activity settlement(houses and settlements)
Distance to main road Euclidean distances from main roads (km)mainrds
Distance to secondary roadEuclidean distances from secondary roads (gravel roads)rds2ndary
Distance to water Euclidean distances from lakes and open water (km)lakes
Terrain ruggedness Calculated from 8 neighboring grid cells tri
NDVI Normalized difference vegetation indexndvi
H: dominant height of the forest stand
ESM Table 2. A priori candidate model list of covariates explaining moose habitat selection from K-select analysis in south-central Sweden 2007-2011.
Model InterceptReproTimeRepro*TimeWolf RiskWolf Risk*ReproWolf Risk*Time
NullI
2RT
3RTR*T
4RTWR
5RTWRWR*R
6RTWRWR*T
7WR
1
ESM Table 3. Model selection for the first two principal component axis (PC) of the moose K-select habitat analysis ordered by model weight () for winter and summer seasons. From south-central Sweden data 2007-2011.
PC/Model dfa-2logAICc∆AICcbERc∆log
Seasonlikelihoodlikelihoodd
Axis 1
Winter26-50.01113.050.000.411.000.00
47-49.01113.410.360.341.20-1.00
68-48.89115.612.550.113.59-1.12
38-49.25116.333.270.085.13-0.76
59-48.90118.115.050.0312.51-1.11
74-55.38119.236.180.0221.955.37
Null3-57.06120.427.360.0139.667.06
Summer47-15.6946.250.000.381.000.00
38-15.0047.110.860.241.54-0.70
26-17.7848.201.950.142.652.09
68-15.6448.412.160.132.94-0.05
59-14.6348.672.420.113.35-1.06
74-28.6365.5619.310.0015629.7712.94
Null3-29.7565.6719.420.0016515.3014.05
Axis 2
Winter Null3-50.78107.850.000.561.000.00
74-50.31109.101.250.301.87-0.47
26-49.31111.653.800.086.70-1.47
47-48.96113.325.470.0415.40-1.82
38-48.90115.637.780.0148.97-1.88
68-48.95115.737.880.0151.51-1.83
59-48.56117.449.590.00120.75-2.22
Summer68-17.6552.420.000.701.000.00
26-21.6655.963.540.125.884.01
59-18.7056.804.380.088.961.05
47-21.0256.904.490.079.423.37
38-20.9158.936.520.0326.023.26
Null3-90.83187.84135.430.002.56E+2973.18
74-90.79189.89137.470.007.11E+2973.14
adf is degrees of freedom for the model
b∆AICc is the AICc distance of a model from the min. AICc model.
c ER is the evidence ratio which is the relative likelihood between that model and the “best” model (ER= L(gi|x)/L(gj|x); Burnham & Anderson 2000)
d∆log likelihood is the difference between the log likelihood values between that model and the min. AICc model.