Regression estimators for aboveground biomass and its constituent parts of trees in native southern Brazilian forests

Regression estimators for aboveground biomass and its constituent parts of trees in native southern Brazilian forests

The mathematical models used applying the Nonlinear Seemingly Unrelated Regressions (NSUR) or Weighted Nonlinear Seemingly Unrelated Regressions (WNSUR) methodologies can contribute to generate acceptable and reliable estimates of total aboveground biomass and its constituent parts, which are needed...

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Bibliographic Details
Main Authors: Balbinot, R. (Author), Behling, A. (Author), Dalla Corte, A.P (Author), Péllico Netto, S. (Author), Sanquetta, C.R (Author), Trautenmüller, J.W (Author), Watzlawick, L.F (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Above ground biomass
aboveground biomass
Biological consistency
biomass
Biomass
Brazil
Destructive sampling
Efficiency of estimate
Efficiency of estimates
Estimation
forest management
Forestry
Functions
inventory
Matthiola
Model performance
Modeling performance
Native forests
Nonlinear equations
regression analysis
Regression analysis
Rio Grande do Sul
Sample data
Seemingly unrelated regression
Simultaneous fitting
Weighted nonlinear seemingly unrelated regression
WNSUR
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