TY  -  
T1  - Predicting individual tree growth using stand-level simulation, diameter distribution, and Bayesian calibration 
SN  -  /  
UR  - http://hdl.handle.net/10138/330870 
T3  -  
A1  - Tian, Xianglin; Sun, Shuaichao; Mola-Yudego, Blas; Cao, Tianjian 
A2  -  
PB  -  
Y1  - 2020 
LA  - eng 
AB  - Key message We propose a methodology to develop a preliminary version of a growth model when tree-level growth data are unavailable. This modelling approach predicts individual tree growth using only one-time observations from temporary plots. A virtual dataset was generated by linking the whole stand and diameter distribution models. The individual tree model was parameterized using Bayesian calibration and a likelihood of diameter distributions. Context A key component of tree-level growth and... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - Diameter increment; Growth and yield; Sparse data; Data aggregation; Parametric uncertainty; HEIGHT GROWTH; MODELS; INCREMENT; DISAGGREGATION; VALIDATION; PARAMETERS; INDEX; 4112 Forestry 
N1  -   
PP  -  
ER  -