Using nonlinear mixed model and dummy variable model approaches to develop origin-based individual tree biomass equations

作者：Zeng Wei Sheng^*

来源：Trees - Structure and Function, 2015, 29(1): 275-283.

DOI：10.1007/s00468-014-1112-0

• Aboveground biomass
• Belowground biomass
• Forest origin
• Cunninghamia lanceolata
• Pinus massoniana

Based on above- and below-ground biomass measurements from 604 and 212 sample trees respectively, aboveground biomass models for different origins didn't have significant difference while belowground biomass models did.
Based on the measurement data of aboveground biomass from 604 sample trees and belowground biomass from 212 sample trees of Chinese fir (Cunninghamia lanceolata) and Masson pine (Pinus massoniana) in southern China, the individual tree above- and below-ground biomass models involving forest origin were developed using nonlinear mixed model and dummy variable model approaches, and the effect of forest origin on biomass models was analyzed. The results showed that the aboveground biomass models for different origins had no significant difference, while the belowground biomass models were significantly different; and the belowground biomass estimate of a natural tree was highly greater than that of a planted tree with the same diameter and height. Specially, the belowground biomass estimates of natural trees were nearly 30 % and about 45 % greater than those of planted trees for Chinese fir and Masson pine, respectively. The mean prediction errors of aboveground biomass models and belowground biomass models developed in this study were less than 5 % and 15 %, respectively, which meant the biomass models could be applied to estimate forest biomass of the two species at large scale.

• 出版日期2015-2
• 单位国家林业局调查规划设计院