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    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. DOI: 10.13332/j.cnki.jbfu.2015.02.005
    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. DOI: 10.13332/j.cnki.jbfu.2015.02.005
    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. DOI: 10.13332/j.cnki.jbfu.2015.02.005
    Citation: 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. DOI: 10.13332/j.cnki.jbfu.2015.02.005

    东北云杉相容性立木材积和地上生物量模型研建

    Compatible standing tree volume and above-ground biomass equations for spruce (Picea asperata) in northeastern China

    • 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。

       

      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.

       

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