184 plots from larch (Larix Mill.) forests across China were sampled to characterize the height-diameter relationships and investigate the effects of structure and climate on them based on the power function H = aD^b. The results showed that the height-diameter relationship differed greatly among species: b-value of Larix gmelinii (0.65±0.11) and L. olgensis (0.68±0.10) were significantly higher than L. mastersiana (0.51±0.17) and L. potaninii (0.54±0.15) (F=2.34, P=0.026). These differences were significantly influenced by mean annual temperature, but no statistic relationships were detected between stem density, total basal area and mean annual prepetition against b-value. These results indicated that as mean annual temperature increased, a higher proportion of biomass was allocated into diameter growth than height growth (R²=0.09, P<0.001).

A WSD method is presented, using domain keywords and word vector model built from unlabelled data. The effectiveness of the proposed approach is proved, compared with other WSD methods including Lesk on evaluation corpus in environmental domain. Through employing knowledge from different fields, proposed method can be adapted into the WSD task of other domains.