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Citation:

Study on Estabilish and Estimate Method of Biomass Model Compatible with Volume

  • Received Date: 1998-07-02
  • Establishing biomass models is a major way of biomass estimate.To establish biomass model compatible with volume table is the base of realizing the combination of forest biomass survey and growing stock invertory.Based on this point,the progressive variable selection method is used to establish biomass model compatible with volume table for Larix olgensis and Tilia amurensis,and weighted least squares method is used to estimate parameters for clearing up phenomenon of non-homogeneous variance.In the meantime,the paper presented five indices for evaluation of models,they are coefficient of variation for parameters Cvi, total relative error Er, average relative error Em average absolute value of relative error Ea and prediction precision P.All the results show that biomass models established in this paper not only realize compatibility with volume table,but also get remarkable improvement in estimate effect and prediction precision comparing with previous model CAR.According to the results,some reference models are given.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Study on Estabilish and Estimate Method of Biomass Model Compatible with Volume

  • 1. The Research Institute of Forest Resource Information Techniques, CAF, 100091, Beijing, China

Abstract: Establishing biomass models is a major way of biomass estimate.To establish biomass model compatible with volume table is the base of realizing the combination of forest biomass survey and growing stock invertory.Based on this point,the progressive variable selection method is used to establish biomass model compatible with volume table for Larix olgensis and Tilia amurensis,and weighted least squares method is used to estimate parameters for clearing up phenomenon of non-homogeneous variance.In the meantime,the paper presented five indices for evaluation of models,they are coefficient of variation for parameters Cvi, total relative error Er, average relative error Em average absolute value of relative error Ea and prediction precision P.All the results show that biomass models established in this paper not only realize compatibility with volume table,but also get remarkable improvement in estimate effect and prediction precision comparing with previous model CAR.According to the results,some reference models are given.

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