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Table 5 Summary of the model selection procedure for taxonomic 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
  15.98 0.39 0.58 1.60   5 113.07 237.35 0.00 0.30 0.50
15.98   0.51 1.60   4  114.29 236.36 0.01 0.29 0.48
15.98    1.72   3  116.15 238.76 1.42 0.15 0.44
16.17   0.51 1.54 0.25 5 114.21 239.62 2.28 0.09 0.48
15.98 0.29    1.74   4  115.50 239.79 2.45 0.09 0.45
15.99 0.39 0.58 1.59 0.02 6 113.07 239.86 2.51 0.08 0.50
SW 1.00 0. 47 0.77 1.00 0.18  
β 15.99 0.37 −0.54 −1.62 0.14
SE 0.35 0.27 0.27 0.29 0.71
  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-))