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Table 2 The sum of Akaike weights (Σwi) of parameters across all models, number of models the parameter is included in out of 320 candidate models, model averaged parameter estimates, and unconditional 95 % confidence intervals from an all-subsets negative binomial regression analysis to assess snowshoe hare relative abundance in 114 forest sites in Glacier National Park, Montana, USA. For categorical variables, parameter estimates and unconditional 95 % confidence intervals are provided for each category level, relative to the reference category. For percent understory cover 0 m to 0.5 m aboveground, the estimates and 95 % confidence intervals are provided for the linear component of the function, followed by the squared component.

From: Impacts of Fire on Snowshoe Hares in Glacier National Park, Montana, USA

Parameter

Σwi

Models (n)

Estimate

Lower 95 %

Upper 95 %

Dominant canopy tree species

     

Mixed

1.00

192

   

Others

  

1.57

0.56

4.35

Spruce-fir

  

1.13

0.53

2.39

Lodgepole

  

3.33

0.87

12.69

Understory cover 0 m to 0.5 m (%)

1.00

160

2.46; 0.99

1.51; 0.99

4.00; 1.00

Canopy cover (%)

0.97

160

1.04

1.02

1.07

East-west

     

West

0.97

160

   

East

  

2.81

1.40

5.63

Burn treatment

     

Mature

0.91

192

   

1988 burns

  

1.46

0.30

7

Dominant canopy:burn treatment

     

Mixed:random

0.75

64

   

Others:1988 burns

  

1.04

0.22

4.93

Spruce-fir:1988 burns

  

0.53

0.04

7.47

Lodgepole:1988 burns

  

7.33

0.56

96.47

Logs (average n transect−1)

0.61

160

0.41

0.07

2.56

Saplings (n ha−1)

0.52

160

1.00

0.99

1.02

Understory cover 0.5 m to 1.0 m (%)

0.35

160

1.01

0.99

1.03