【摘要】 以安徽省杨树人工林为研究对象,按照立木材积表编制要求,随机抽取329棵杨树伐倒木材积资料。以300棵样木资料为编表样本,选用3种数学模型为二元材积的候选模型,利用非线性麦夸特迭代求解法确定各模型参数、剩余标准差、相关指数。根据相关指数和剩余标准差,确定最优二元材积模型为:V=0.00009693d2.0123h0.6147。以29棵样木资料为验表样本,分别计算二元材积模型理论材积与实际材积的平均相对误差、平均绝对相对误差和系统误差,计算结果为:二元材积表分别是2.7%、8.6%、0.1%。各种材积误差均满足林业生产材积估算误差要求。更多还原

【Abstract】 The data for establishing stem volume table of poplar tree were collected from 329 wood samples of the poplar trees in Anhui province.Based on the parameters and the remaining standard deviations of 300 samples from total samples,relevant index of the binary volume model were calculated by nonlinear equations Mai Kuate computation.According to the relevant index and the reside standard deviations,the binary volume model of the Poplar tree was fitted.The best binary volume model is V=0.000 096 93d2.012 3h0.614 7.Based on the 29 wood samples,the average relative error,the average absolutely error,and systematic error of the binary volume table were calculated as 2.7%,8.6%,0.1% respectively.Each error of the volume table met the need of forestry production.更多还原