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Comparison of Nonlinear Regression Equation with Intercept and Segmented Modeling Approach for Estimation of Single-Tree Biomass

  • Received Date: 2010-09-03
  • Single-tree biomass equations with constant parameters within the range of size classes may result in obvious biased estimation for small young trees. Based on the above-ground biomass data of larch (Larix spp.) of the north-east and Masson pine (Pinus massoniana) of the south in China, two methods were presented to improve the estimation of tree biomass, which were nonlinear regression equation with intercept and segmented modeling approach, and the fit statistics of the models were compared. The results showed: (i) the two methods not only were effective to solve the problem of biased estimation for small trees, but also improved the prediction of biomass model for all sample trees in some extents; (ii) the segmented regression models were slightly better than nonlinear regression equation with intercept for single-tree biomass estimation.
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Comparison of Nonlinear Regression Equation with Intercept and Segmented Modeling Approach for Estimation of Single-Tree Biomass

  • 1. Reseach Institute of Forestry,Chinese Academy of Forestry,Beijing 100091,China
  • 2. Reseach Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

Abstract: Single-tree biomass equations with constant parameters within the range of size classes may result in obvious biased estimation for small young trees. Based on the above-ground biomass data of larch (Larix spp.) of the north-east and Masson pine (Pinus massoniana) of the south in China, two methods were presented to improve the estimation of tree biomass, which were nonlinear regression equation with intercept and segmented modeling approach, and the fit statistics of the models were compared. The results showed: (i) the two methods not only were effective to solve the problem of biased estimation for small trees, but also improved the prediction of biomass model for all sample trees in some extents; (ii) the segmented regression models were slightly better than nonlinear regression equation with intercept for single-tree biomass estimation.

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