首页|内蒙古毛乌素沙地樟子松人工林立木材积表研究

内蒙古毛乌素沙地樟子松人工林立木材积表研究

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立木材积不仅是林木生长的重要特性,也是森林资源监测的关键指标.为准确测算毛乌素沙地樟子松(Pinus sylvestris var.mongolica)人工林蓄积量,本研究基于内蒙古毛乌素沙地131株樟子松的实测数据,以胸径和树高为自变量,选用多种方程形式建立了樟子松的立木材积模型,并绘制了立木材积表.结果表明,一元和二元材积模型均以幂函数形式为最佳(V= 0.000 17D2.220和V=0.000 093D1.693H1.001),R2分别为0.98和0.99;两个模型均取得了良好的预测效果,相对误差介于-16%~18%,特别是二元材积模型,相对误差的绝对值在10%以内.本研究构建的樟子松立木材积模型和立木材积表,今后可在内蒙古毛乌素沙地樟子松人工林蓄积量测算中应用.
Study on Timber Volume Table for Pinus sylvestris var.mongolica Plantation in Mu us Sandy Land,Inner Mongolia
Standing tree volume is not only an important characteristics of forest growth,but also a key index of for-est resource monitoring.Based on the measured data of 131 stocks of Pinus sylvestris var.mongolica in Mu Us Sandy Land,the standing tree volume model of Pinus sylvestris var.mongolica was established through choosing various equations with diameter at breast height and height as independent variables,and the standing tree volume tabled was drawn.The results show that both the one-variable and two-variable volume models are the best in the form of power function(V=0.000 17D2.220 and V=0.000 093D1.693H1.001),R2 is 0.98 and 0.99,respectively.Both two models have achieved good prediction results,and the relative error is between-16%and 18%,especially for the two-variable model,the absolute value of relative error is within 10%.The tree volume model and tree volume table of Pinus sylvestris var.mongolica constructed in this study can be widely applied to estimate the plantation volume in Mu Us Sandy Land of Inner Mongolia.

volumemodel constructionapplicabilityplantation

斯庆毕力格、刘利平、李泽江、刘文军、萨格萨、王颖、郭金伟、孙维娜、苏强

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材积 模型构建 适用性 人工林

鄂尔多斯市博士科研资助项目

2024

内蒙古林业科技
内蒙古林业科学研究院

内蒙古林业科技

影响因子:0.283
ISSN:1007-4066
年,卷(期):2024.50(1)
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