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Table 6 Summary of the model selection procedure for functional diversity index of mammals

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
  0.66 0.05  0.04   0.11 5 107.05 202.90 0.00 0.19 0.14
0.67 0.04    0.10 4 105.46 202.13 0.76 0.13 0.09
0.67      0.08 3 103.99 201.51 1.39 0.09 0.04
0.69 0.03     3 103.80 201.13 1.77 0.08 0.03
0.67    0.03   0.08 4 104.89 200.99 1.91 0.07 0.07
0.69 0.04 0.03    4 104.85 200.91 1.99 0.07 0.07
0.69    0.03    3 103.52 200.57 2.33 0.06 0.03
0.66 0.05 0.04 0.01 0.10 6 107.09 200.46 2.44 0.06 0.14
0.69 0.04 0.04 0.03   5 105.71 200.22 2.68 0.05 0.10
0.69    0.02   3 103.26 200.06 2.84 0.05 0.01
0.69    0.03 0.03   4 104.30 199.83 3.07 0.04 0.05
0.66 0.04   0.00 0.10 5 105.46 199.73 3.17 0.04 0.09
0.69 0.03   0.02   4 104.19 199.59 3.31 0.04 0.05
SW 1.00 0.67 0.56 0.28 0.60  
β 0.67 0.04 −0.04 0.02 −0.10
SE 0.03 0.02 0.02 0.03 0.05
  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-))