<p>Predictor sets include: structural variables only; environmental variables only; structural and environmental variables combined (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142784#pone.0142784.t001" target="_blank">Table 1</a>). Results are for models reduced by stepwise selection (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142784#pone.0142784.s003" target="_blank">S1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142784#pone.0142784.s004" target="_blank">S2</a> Tables for details on global models and covariate estimates, respectively). Statistics: D<sup>2</sup>, percent deviance explained; ΔAIC, change in Akaike Information Criterion compared with null model; LRT, likelihood ratio test comparing final models with their respective global models at P ≤ 0.05; MSEP, mean square error of prediction; W, Wilcoxon Mann-Whitney statistic used to estimate prediction bias.</p><p>Comparison of alternative models for predicting LAI in moist forest and miombo woodland of Hanang District in Tanzania.</p
