Multiple linear regression models are presented for predicting total heights of trees from diameter at breast height (dbh) measurements in Nepal. In addition to a general prediction model based on all trees in the sample, specific models are presented for three classes of anthropogenic disturbance levels (light, moderate, and heavy), and for two dominant taxa, Schima wallichii and the genus Castanopsis . The models were derived from dbh and total heights measured on 2361 trees encountered on 170 survey plots across five forests ranging from relatively light to heavy levels of anthropogenic disturbance. Fifty-six tree species and 32 families were represented in the sample. Cross-validation results indicate good predictive ability, and reliability and validity of the models. Predictive ability and reliability and validity of the models were better for forests with lower levels of anthropogenic disturbance. These models are recommended for general use in Nepal's lower temperate broadleaved forests, particularly in forests dominated by the Schima / Castanopsis association, which generally tend to be under heavy cutting and lopping pressure from subsistence farmers.