Nonlinear Mixed-Effects Height to Crown Base Model for Moso Bamboo (Phyllostachys heterocycla (Carr.) Mitford cv. Pubescens) in Eastern China

Height to crown base (HCB) is an important variable used as a predictor of forest growth and yield. This study developed nonlinear, mixed-effects HCB model through inclusion plot-level random effects using data from 29 sample plots distributed across state-owned Yixing farm in Jiangsu province, eastern China. Among several variables evaluated the analyses, bamboo height, canopy density, total basal area with diameter larger than that subject individual contributed significantly variations. The improved prediction accuracy significantly, indicating variations within were substantial. was localized four sampling strategies, identified two medium-sized bamboos by at breast height per plot resulted smallest error. strategy, which would balance both measurement cost potential error, may be applied estimate localization nonlinear for moso