Abstract: In this paper, the regressive models of the aboveground biomass of Pinus elliottii, P. massoniana and Cunninghamia lanceolata in Qianyanzhou of subtropical China were established, and the regression analysis on the dry weight of leaf biomass and total biomass against branch diameter (d), branch length (L), d³ and d²L was conducted with linear, power and exponent functions. Power equation with single parameter (d) was proved to be better than the rests for P. massoniana and C. lanceolata, and linear equation with parameter (d³) was better for P. elliottii. The canopy biomass was derived by the regression equations for all branches. These equations were also used to fit the relationships of total tree biomass, branch biomass and foliage biomass with tree diameter at breast height (D), tree height (H), D³ and D²H, respectively.D²H was found to be the best parameter for estimating total biomass. For foliageand branch biomass, both parameters and equation forms showed some differences among species. Correlations were highly significant (P＜0.001) for foliage-, branch-and total biomass, with the highest for total biomass. By these equations, the aboveground biomass and its allocation were estimated, with the aboveground biomass of P. massoniana, P. elliottii, and C. lanceolata forests being 83.6, 72.1 and 59 t·hm^-2, respectively, and more stem biomass than foliageand branch biomass. According to the previous studies, the underground biomass of these three forests was estimated to be 10.44, 9.42 and 11.48 t·hm^-2, and the amount of fixed carbon was 47.94, 45.14 and 37.52 t·hm^-2, respectively.

Key words: Effluent, Toxicity identification evaluation, Cl₂, HClO