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Table 1 Subset of models (linear mixed effect model, lmer) predicting soil fertility (response variable)

From: Effects of topographic variability and forest attributes on fine-scale soil fertility in late-secondary succession of Atlantic Forest

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

  1. The result of the information-theoretic-based model selection is indicated. Models that explain significant main effects are indicated (*)
  2. 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)
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