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Table 4 Summary of the model selection procedure for functional diversity index of plants

From: Diversity of plants and mammals as indicators of the effects of land management types in woodlands

  int x1 x2 x3 x4 k log() AIC Δi wi R2
  −0.61 0.02 −0.04 0.05   5 141.68 −272.17 0.00 0.47 0.35
−0.61   −0.04 0.05   4 140.01 −271.23 0.94 0.29 0.31
−0.61 0.02 −0.04 0.05 0.00 6 141.69 − 269.67 2.50 0.13 0.35
−0.60   − 0.04 0.06 0.01 5 140.06 −268.92 3.25 0.09 0.31
SW 1.00 0.61 1.00 1.00 0.23  
β −0.61 0.02 −0.04 0.05 0.00
SE 0.01 0.01 0.01 0.01 0.03
  1. Model averaging was carried out with a 95% confidence subset of models. For each model of the subset, we reported parameter estimates, total number of estimable parameters (k), the log-likelihood log(), AIC criterion, Δi = AICi – minAIC, Akaike weight (wi), and adjusted R2. Models are ordered in terms of Δi for AIC. At the bottom of the table, we reported model-averaged estimates β with their standard errors (SE) and their sum of weights (SW), for the four variables (quantitative variables: x1 - DW in tree, x2 - DW on ground, x3 - DW Removed; categorical variable: x4 - land management type (protected area/grazed woodlands-intercept-))