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东北云杉相容性立木材积和地上生物量模型研建
引用本文:刘琼阁,彭道黎,黄国胜,曾伟生,王雪军.东北云杉相容性立木材积和地上生物量模型研建[J].北京林业大学学报,2015,37(2):8-15.
作者姓名:刘琼阁  彭道黎  黄国胜  曾伟生  王雪军
作者单位:北京林业大学林学院;国家林业局调查规划设计院
基金项目:科技部科技基础性工作专项(2013FY111600-1);“十二五”农村领域国家科技计划课题(2012AA102001--5);国家级林业推广项目(201145)
摘    要:以东北云杉为研究对象,利用立木材积和地上生物量实测数据,通过利用总量直接控制和度量误差模型方法,研建相容的立木材积方程、地上生物量方程、生物量转换函数及各分项生物量模型。结果表明:地上生物量模型在引入树高因子后,改善了模型的精度和平均预估误差;所建立的东北云杉一元相容性方程,其立木材积和地上生物量模型的确定系数分别为0.94和0.97,平均预估误差分别为5.36%和3.55%;而二元相容性方程,立木材积和地上生物量模型的确定系数均在0.98以上,平均预估误差控制在3.06%以下。所建立的模型可以用于我国东北云杉林地上生物量的估计。 

关 键 词:东北云杉  相容性  立木材积  地上生物量  度量误差模型
收稿时间:2013-07-15

Compatible standing tree volume and above-ground biomass equations for spruce (Picea asperata) in northeastern China
LIU Qiong-ge , PENG Dao-li , HUANG Guo-sheng , ZENG Wei-sheng , WANG Xue-jun.Compatible standing tree volume and above-ground biomass equations for spruce (Picea asperata) in northeastern China[J].Journal of Beijing Forestry University,2015,37(2):8-15.
Authors:LIU Qiong-ge  PENG Dao-li  HUANG Guo-sheng  ZENG Wei-sheng  WANG Xue-jun
Institution:1 College of Forestry, Beijing Forestry University, Beijing, 100083, P. R. China
Abstract:Based on the data of standing tree volume and above-ground biomass for spruce in northeastern China, the compatible standing tree volume equation, above-ground biomass equation, biomass conversion function, and models for each type biomass model were constructed using two methods:direct total-biomass-control and measurement error model. The results showed that: 1 ) accuracy and mean predicting error ( MPE) by above-ground biomass equation were improved significantly by introducing tree height factor; 2 ) one-variable compatible equations of standing tree volume and above-ground biomass equations for spruce in northeastern China were developed with determination coefficients ( R2 ) of 0. 94 and 0. 97 respectively, and MPE of 5. 36% and 3. 55%; 3 ) bivariate compatible equations for both standing tree and above-ground biomass equations have higher accuracies with R2 of 0. 98 and MPE of around 3. 06%. This indicates that both one-variable and bivariate compatible models are applicable to estimate the above-ground biomass of spruce forests in northeastern China.
Keywords:spruce in northeastern China  compatibility  tree volume  above-ground biomass  measurement error model
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