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Table 3 Summary of the model selection procedure for structural 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
  1.30   −0.04 0.13 −0.09 5 33.92 −56.65 0.00 0.39 0.57
1.30 0.02 −0.05 0.13 −0.11 6 34.54 −55.37 1.28 0.21 0.58
1.27   −0.05 0.15   4 31.97 −55.15 1.50 0.18 0.54
1.30    0.12 −0.10 4 31.10 −53.42 3.22 0.08 0.52
1.27 0.01 −0.05 0.15   5 32.14 −53.09 3.56 0.07 0.54
  1.27    0.14   3 29.17 −51.87 4.78 0.04 0.49
SW 1.00 0.30 0.86 1.00 0.71  
β 1.29 0.02 −0.05 0.13 −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-))