|
Predictors
|
LogLik
|
AICc
|
∆AICc
|
AICcwt
|
|---|
|
Elevation
|
− 210.35
|
433.30
|
0
|
0.60*
|
|
Convexity
|
− 211.47
|
433.33
|
0.03
|
0.25*
|
|
Slope
|
− 210.49
|
435.7
|
2.4
|
0.13
|
|
Species composition
|
− 212.71
|
438.0
|
4.7
|
0.01
|
|
Richness
|
− 211.65
|
438.12
|
4.82
|
< 0.001
|
|
Abundance
|
− 212.80
|
438.4
|
5.1
|
< 0.001
|
- The result of the information-theoretic-based model selection is indicated. Models that explain significant main effects are indicated (*)
- LogLik, log-likelihood; AICc, Akaike information criterion for small samples; ΔAICc, difference between the AICc of a given model and that of the best model; AICcWt, Akaike weights (based on AIC corrected for small sample sizes)
