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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)