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Scientia Silvae Sinicae ›› 2014, Vol. 50 ›› Issue (8): 22-29.doi: 10.11707/j.1001-7488.20140804

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Individual Tree Aboveground Biomass of Larix gmelinii Natural Forest in the Northern Greater Khingan Mountains

Xiao Shengling, Yang Jialong   

  1. Key Laboratory of Forest Sustainable Management and Micro-Bioengineering in Heilongjiang Province College of Engineering and Technology, Northeast Forestry University Harbin 150040
  • Received:2013-08-16 Revised:2014-04-08 Online:2014-08-25 Published:2014-07-31

Abstract:

Based on 104 sample tree trunk and branches parse biomass data in 19 sample plots, established the compatible model of aboveground total model and component of Larix gmelinii natural forest, by using weight function and simultaneous linear equations to eliminate heteroscedasticity and measurement error equation. The results showed that: 1) Compatibility biomass model solved the total biomass model and component biomass model of incompatible problem, and the compatibility of biomass model prediction accuracy was higher than empirical model; 2) Utilize modern built biomass model parameter determination coefficient R2 and compatibility model deviation statistics estimate the standard deviation SEE, mean estimated error MPE, mean relative deviation ME, mean relative deviation absolute MAE were 0.907-0.947,1.887-17.368,1.011%-2.703%,-4.937%-6.998%,5.408%-10.886%; 3) Statistical analysis of the measured values of Larix gmelinii natural forest in the northern Greater Khingan Mountains, got the region single natural forest stem biomass covered the aboveground biomass of 60.37%-76.80%, stem biomass proportion with the increase of forest age increased first, then decreased. Bark biomass covered the aboveground biomass of 7.15%-20.11%, the proportion trend of decrease with the increase of forest age. Branch biomass covered the aboveground biomass of 8.51%-14.29%, branch biomass proportion along with the age increasing basic rendering. Leaf biomass covered the aboveground biomass of 5.12%-7.09%,leaf biomass accounted for the proportion of the biggest was low forest age.

Key words: Larix gmelinii, biomass, nonlinear joint estimation, compatibility model

CLC Number: