内蒙古毛乌素沙地樟子松人工林立木材积表研究  

Study on Timber Volume Table for Pinus sylvestris var.mongolica Plantation in Mu us Sandy Land,Inner Mongolia

作　　者：斯庆毕力格 刘利平 李泽江 刘文军[3] 萨格萨 王颖 郭金伟 孙维娜 苏强 Siqingbilige;LIU Liping;LI Zejiang;LIU Wenjun;Sagesa;WANG Ying;GUO Jinwei;SUN Weina;SU Qiang(Ordos Forestry and Grassland Development Center,Inner Mongolia,Ordos 017010,China;Ordos International Desertification Control Technology Innovation Center,Inner Mongolia,Ordos 017010,China;Ordos Forest Farm,Inner Mongolia,Ordos 014300,China;Uxin Banner Forestry and Grassland Bureau,Inner Mongolia,Ordos 017300,China;Comprehensive Security center of Ordos Forestry and Grassland Bureau,Inner Mongolia,Ordos 017010,China;Ejin Horo Banner State-owned Forest Farm,Inner Mongolia,Ordos 017200,China)

机构地区：[1]鄂尔多斯市林业和草原事业发展中心,内蒙古鄂尔多斯017010 [2]鄂尔多斯市国际荒漠化防治技术创新中心,内蒙古鄂尔多斯017010 [3]鄂尔多斯市造林总场,内蒙古鄂尔多斯014300 [4]乌审旗林业和草原局,内蒙古鄂尔多斯017300 [5]鄂尔多斯市林业和草原局综合保障中心,内蒙古鄂尔多斯017010 [6]伊金霍洛旗国有林场,内蒙古鄂尔多斯017200

出　　处：《内蒙古林业科技》2024年第1期19-26,55,共9页Journal of Inner Mongolia Forestry Science and Technology

基　　金：鄂尔多斯市博士科研资助项目。

摘　　要：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=0.00017D^(2.220)和V=0.000093D^(1.693)H^(1.001)),R^(2)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。Standing tree volume is not only an important characteristics of forest growth,but also a key index of forest 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=0.00017D^(2.220) and V=0.000093D^(1.693)H^(1.001)),R^(2) 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.

关 键 词：材积 模型构建 适用性 人工林 

分 类 号：S757.2[农业科学—森林经理学]