<p>Columns show summed Akaike weights, standardized beta coefficients averaged across models and unconditional standard errors (SE) in parentheses and 95% confidence intervals (CI) based on the unconditional SEs.</p><p><sup>a</sup>Please refer to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0130566#pone.0130566.t001" target="_blank">Table 1</a> for explanation of predictor codes</p><p>Assessment of the importance of predictors used to model forest points within montane forest grassland mosaics across the Western Ghats.</p
*<p>Note: Standard errors in brackets and top-ranked models are shown, wi is the AIC model weight <b...
<p>Predictor sets and statistics as in <a href="http://www.plosone.org/article/info:doi/10.1371/jour...
<p>Predictors of study species occurrences measured in the field (they can be divided into the follo...
<p>Columns show summed Akaike weights, standardized beta coefficients averaged across models (uncond...
<p>Node purity of terminal nodes depicted as a bar chart with dark grey assigned to “forest” and lig...
<p>Predictor sets include: structural variables only; environmental variables only; structural and e...
<p>Akaike weights of predictors for each response variable in the community level analyses (diversit...
<p>Permutation-based variable importance measures for each predictor derived from multiple random fo...
<p>A, B, C, and D are the four habitat metric sets, and 4BPHMs are the four best predictive height-s...
Accurate estimation of site productivity is crucial for sustainable forest resource management. In r...
Forestry science has a long tradition of studying the relationship between stand productivity and ab...
<p><i>Edge</i>-whether or not there was a range edge within the study area; <i>Count-</i>The number ...
The thick (inner) bars represent +/- 1 standard error, while the thin (outer) bars represent +/- 2 s...
The objective of this analysis was to identify topographic and bioclimatic factors that predict occ...
<p>The mean decrease in accuracy for a variable is the classification accuracy for the out-of-bag da...
*<p>Note: Standard errors in brackets and top-ranked models are shown, wi is the AIC model weight <b...
<p>Predictor sets and statistics as in <a href="http://www.plosone.org/article/info:doi/10.1371/jour...
<p>Predictors of study species occurrences measured in the field (they can be divided into the follo...
<p>Columns show summed Akaike weights, standardized beta coefficients averaged across models (uncond...
<p>Node purity of terminal nodes depicted as a bar chart with dark grey assigned to “forest” and lig...
<p>Predictor sets include: structural variables only; environmental variables only; structural and e...
<p>Akaike weights of predictors for each response variable in the community level analyses (diversit...
<p>Permutation-based variable importance measures for each predictor derived from multiple random fo...
<p>A, B, C, and D are the four habitat metric sets, and 4BPHMs are the four best predictive height-s...
Accurate estimation of site productivity is crucial for sustainable forest resource management. In r...
Forestry science has a long tradition of studying the relationship between stand productivity and ab...
<p><i>Edge</i>-whether or not there was a range edge within the study area; <i>Count-</i>The number ...
The thick (inner) bars represent +/- 1 standard error, while the thin (outer) bars represent +/- 2 s...
The objective of this analysis was to identify topographic and bioclimatic factors that predict occ...
<p>The mean decrease in accuracy for a variable is the classification accuracy for the out-of-bag da...
*<p>Note: Standard errors in brackets and top-ranked models are shown, wi is the AIC model weight <b...
<p>Predictor sets and statistics as in <a href="http://www.plosone.org/article/info:doi/10.1371/jour...
<p>Predictors of study species occurrences measured in the field (they can be divided into the follo...