Predicting total and component biomass of Chinese fir using a forecast combination method

作   者：张雄清，Quang V.Cao，相聪伟，段爱国，张建国
期刊名称：iForest-Biogeosciences and Forestry
影响因子：1.623
卷 期 号：10
页     码：687-691
关键词：Additivity, Biomass Predictions, Cunninghamia lanceolata, Evenaged Plantations, Tree Allometry
论文摘要：
Accurate estimates of tree biomass are critical for forest managers to assess
carbon stock. Biomass of Chinese fir (Cunninghamia lanceolata [Lamb.] Hook.)
in southern China was assessed by three alternative methods. In the Separate
model approach, total and component tree biomass was directly predicted
from a regression equation as a function of tree diameter and height. In the
Additive model approach, total biomass was predicted as the sum of predictions
from all component biomass equations. The Forecast Combination method
involved combining predictions from the total biomass equation with the
sum of predictions from component biomass equations. Results indicated that
the Separate model method outperformed the Additive model method in predicting
total and component biomass. The drawback of the Separate model
method is that the total is not equal to the sum of its components. The Forecast
Combination method provided the overall best prediction for total and
component biomass, and still ensured additivity of component biomass predictions.