By taking the natural Pinus densata forest of Shangri-la in Yunnan as the research object,the aboveground biomass of each component of 116 sample trees had been investigated.Then we had calculated biomass expansion factors (BEF) and biomass conversion and expansion factors (BCEF) and constructed estimation models of biomass factor of each component used power function.The results showed that for BEF models of each component,the determination coefficient (R2) is > 0.78,mean square error (MSE) < 0.03,prediction precision (P)>84.00%.For BCEF models of each component,R2>0.72,MSE<0.003,P> 83.00%.So,the models of biomass factors have better fitting performance and higher prediction precision to supply biomass carbon measurement parameters and provide data support for the measurement of carbon sink of natural Pinus densata forest.
SUN Xuelian
,
XIONG Hexian
,
XU Hui
,
WEI Anchao
,
LI Chao
,
LÜ Yanyu
,
ZHANG Bo
,
OU Guanglong
. Modelling of Individual Tree Biomass Factors for Natural Pinus densata Forest[J]. Forest and Grassland Resources Research, 2016
, 0(3)
: 49
-53
.
DOI: 10.13466/j.cnki.lyzygl.2016.03.010
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