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 | ||||||
)- 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-))
), 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-))