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异速生长模型常用于估计陆地生态系统的生物量.许多热带树种总体异速生长关系已经确定,但是,物种特异和区域特异模型较缺乏.本文发展了物种特异异速生长模型来预测11个本地树种地上生物量.基径(11~28 cm)、胸径(9～19cm)和树高作为预测变量.从大小不同的(包括最大的)树木个体中取样.在木材收获过程中,通过破坏性取样获取rn4,754棵树木的生物量作为因变量.本文用逐步多元回归分析结合反向去除程序来发展模型分别预测树木总生物量、树茎生物量、枝干和细枝生物量.所有树种的生物量一植株大小物种特异回归模型相关性均较高.枝干和细枝生物量模型所需预测项和预测关系较少,但是该模型的预测能力要弱于树茎和整株生物量模型.11个树种中,除了刺槐之外,其他树种总的地上生物量和茎干生物量最优方程的R2>0.70:枝干和细枝生物量方程的R2值在0.749(榆绿木)至0.183(刺槐)之间.应用这些模型估计树木可获得性生物量可以避免破坏性取样,有助于实施树种可持续使用.“,”Allometric models are necessary for estimating biomass in terrestrial ecosystems. Generalized allometric relationship exists for many tropical trees, but species- and region-specific models are often lacking. We developed species-specific allometric models to predict aboveground biomass for 11 native tree species of the Sudanian savanna-woodlands. Diameters at the base and at breast height, with species means ranging respectively from 11 to 28 cm and 9 to 19 cm, and the height of the trees were used as predictor variables. Sampled trees spanned a wide range of sizes including the largest sizes these species can reach. As a response variable, the biomass of the trees was obtained through destructive sampling of 4754 trees during wood harvesting. We used a stepwise multiple regression analysis with backward elimination procedure to develop models separately predicting, total biomass of the trees, stem biomass, and biomass of branches and twigs. All species-specific regression models relating biomass with measured tree dimen-sions were highly significant (p 0.70, except for the Acacia species; for branches including twig biomass, R2-values varied from 0.749 for Anogeissus leiocarpa to 0.183 for Acacia macrostachya. The use of these equations in estimating available biomass will avoid destructive sampling, and aid in planning for sustainable use of these species.