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梭梭是荒漠地区分布面积较大、生态效益显著、经济价值较高的植物种。本文选用梭梭的地住D、株高H、冠幅面积G，采用回归分析的方法建立起梭梭地上鲜重生物量的预测模型，用平均拟合率，F检验等方法，从三个预测模型中选出最优的一个预测模型作为梭梭人工林地上鲜重生物量预测模型：W=0.00324D(1.517)H(0.836)G(1.118)该预测模型的拟合率达到80.12％，可用于预测梭梭人工林的地上部生物量，为梭梭人工林的经营、保护、开发利用提供依据。
Haloxylon ammodendron is a kind of plant species distributed in the desert area with significant ecological benefits and high economic value. In this paper, we chose the habitat D, plant height H, crown area G of Haloxylon ammodendron and established the prediction model of the fresh weight of Haloxylon ammodendron by regression analysis. The average fitting rate, F test, The best prediction model was selected as the forecast model of aboveground fresh weight biomass of Haloxylon ammodendron plantation: W = 0.00324D (1.517) H (0.836) G (1.118). The fitting rate of this prediction model reached 80.12% Which could be used to predict the aboveground biomass of Haloxylon ammodendron plantation and provide the basis for the management, protection, development and utilization of Haloxylon ammodendron plantation.