CAJ | 학술논문

马尾松（Pinus massoniana）、杉木（Cunninghamia lanceolata）、刨花楠（Machilus pauhoi）、闽楠（Phoebe bournei）和木荷（Schima superba）是福建省常见树种，选取基径（D）、株高（H）、冠幅宽度（C）及复合变量D2、D2H、CA（cano-py area，冠层面积）和CV（canopy projected volume ，冠层投影体积）作为自变量，选用5种回归方程构建幼苗生物量估测模型，结果表明：以CV和D2 H作为自变量时，模型的拟合效果最好；5种苗木生物量最优估测模型多为二次多项式和幂函数形式。幼苗生物量估测模型对快速准确判别苗木优劣具有重要理论意义。
마미송（Pinus massoniana）、삼목（Cunninghamia lanceolata）、포화남（Machilus pauhoi）、민남（Phoebe bournei）화목하（Schima superba）시복건성상견수충，선취기경（D）、주고（H）、관폭관도（C）급복합변량D2、D2H、CA（cano-py area，관층면적）화CV（canopy projected volume ，관층투영체적）작위자변량，선용5충회귀방정구건유묘생물량고측모형，결과표명：이CV화D2 H작위자변량시，모형적의합효과최호；5충묘목생물량최우고측모형다위이차다항식화멱함수형식。유묘생물량고측모형대쾌속준학판별묘목우렬구유중요이론의의。
Pinus massoniana,Cunninghamia lanceolata,Machilus pauhoi,Phoebe bournei and Schima su-perba are common trees in Fujian Province .In this study,basal diameter (D),height (H),crown width (C) and compounded variables D2 ,D2 H,CA( canopy area) and CV( canopy projected volume ) were chosen as in-dependent variables and five types of regression functions were used to construct estimation models for sapling biomass.The result showed that when CV and D2 H were chosen as independent variables ,the fitted effect of models was the best .The types of best estimation models were mostly of quadratic polynomial and power func-tion.Estimation models for sapling biomass will provide valuable insights into judgement saplings ’ quality quickly and accurately .