2014
DOI: 10.5846/stxb201306181729
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Development of compatible biomass models for trees from different stand origin

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“…This study was based on analytical data from 64 sampled trees and the allometric growth model, and a compatible biomass model for larch plantations in the study area was constructed using the non-linear, seemingly unrelated regressions [46][47][48]. Subsequently, the established single-tree-level biomass model was used to calculate the total biomass and the biomass of each component in each plot.…”
Section: Build a Basic Model Of Larch Biomass Compatibilitymentioning
confidence: 99%
“…This study was based on analytical data from 64 sampled trees and the allometric growth model, and a compatible biomass model for larch plantations in the study area was constructed using the non-linear, seemingly unrelated regressions [46][47][48]. Subsequently, the established single-tree-level biomass model was used to calculate the total biomass and the biomass of each component in each plot.…”
Section: Build a Basic Model Of Larch Biomass Compatibilitymentioning
confidence: 99%
“…Past studies have similarly demonstrated that NSUR is effective in solving the additivity problem and has higher prediction accuracy [56,57]. Using AP, errors in model prediction [57] of the SBA of mixed forest can be a ributed to the lack of consideration of the inherent correlations between the SBAs of different tree species [87], consistent with the conclusions of Fu et al (2017) [58] and Lei et al (2018) [57]. The incorporation of NSUR effectively overcomes the above challenge [58,59], thereby allowing unbiased estimation of model parameters [58] and improving the efficiency of parameter estimation [83].…”
Section: Parameter Estimation Methods Affect the Accuracy Of Sbamentioning
confidence: 99%