Abstract: Based on data collected from field surveys, biomass carbon accounting parameters including biomass conversion and expansion factor (BCEF), biomass expansion factor (BEF) and rootshoot ratio (R) for Pinus kesiya var. langbianensis plantation were calculated, and relationships between the parameters and relative stand factors were studied. Main findings were as follows. (1) Mean BCEF for Pinus kesiya var. langbianensis plantation was 05483 Mg m3(n=30, 95% confidence interval=05357-05609), lower than the IPCC default value. BCEF for Pinus kesiya var langbianensis plantation was negatively related to stand form height (FH), mean stand height (H), stand growing stock (V) and stand age(A) (P<005). BCEF was negatively related to mean diameter at breast height (D), but not statistically significant（P >005）, positively related to stand density (N), not statistically significant（P>005）. Regression equations developed for calculating BCEF with stand factors did not give satisfied estimates. (2) Mean BEF for Pinus kesiya var langbianensis plantation was 178378 (n=30, 95% confidence interval=171714-185043), higher than the IPCC default value. BEF was negatively related to D、H、FH、V and A (P <001), positively related to N (P <005). Regression equations of y=a+bx+cx2 performed well to calculating BEF with A and V as variables. Regression equation of y=a+b/x performed well to calculate BEF with N. Regression equations of y=a xb performed well to calculate BEF with FH、H and D as variables. (3) Mean R for Pinus kesiya varlangbianensis plantation was 02400 (n=30, 95% confidence interval=02194-02606), close to the IPCC default value. R was negatively related to D、H、FH、V and A (P <001), positively related to N (P <005). Regression equations of y= a+bx +cx2 performed well to calculate R with D、H、FH、V and Aas variables. Regression equation of y=a+b/x performed well to calculate R with N.

Key words: Pinus kesiya var.langbianensis plantation