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Table 2 Summary of the model selection procedure for taxonomic 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 df log() AIC Δi wi R2
  1.48   −0.08 0.09   4 9.75 −10.71 0.00 0.47 0.20
1.47   − 0.08 0.10 0.06 5 10.11 −9.03 1.68 0.20 0.21
1.48 0.01 −0.08 0.09   5 9.82 −8.44 2.26 0.15 0.20
1.47 0.01 −0.08 0.10 0.06 6 10.13 −6.55 4.16 0.06 0.21
  1.48    0.07   3 6.04 −5.61 5.10 0.04 0.09
  1.48   −0.06    3 5.39 −4.33 6.38 0.02 0.06
  1.47    0.08 0.05 4 6.28 −3.78 6.93 0.01 0.09
  1.48 0.00   0.07   4 6.04 −3.30 7.41 0.01 0.09
  1.50   −0.06   −0.05 4 5.72 −2.65 8.06 0.01 0.08
SW 1.00 0.23 1.00 0.96 0.28  
β 1.48 0.01 −0.08 0.09 0.06
SE 0.03 0.03 0.03 0.03 0.08
  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-))