Environmental Science
8 years ago

New height-diameter models improve tree measurements in Chinese larch plantations.

Forestry An International Journal of Forest Research
Height–diameter equations for larch plantations in northern and northeastern China: a comparison of the mixed-effects, quantile regression and generalized additive models
Hao Zang, Xiangdong Lei, Weisheng Zeng

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The study compared different methods for predicting the height of larch trees based on their diameter in northern and northeastern China. They looked at data from 342 plots with 5684 tree measurements. The mixed-effects model was found to be the most accurate for predicting tree height. Quantile regression showed how tree height and diameter can vary at different levels. The generalized additive model was good for flexible modeling. Overall, the mixed-effects model is the best choice for predicting tree height in larch plantations in this region.