TY - JOUR
T1 - Critical analyses when modeling tree biomass to ensure additivity of its components
AU - Behling, Alexandre
AU - Netto, Sylvio Péllico
AU - Sanquetta, Carlos Roberto
AU - Corte, Ana Paula D.
AU - Affleck, David L.R.
AU - Rodrigues, Aurélio L.
AU - Behling, Marcos
N1 - Publisher Copyright:
© 2018, Academia Brasileira de Ciencias. All rights reserved.
PY - 2018/4/1
Y1 - 2018/4/1
N2 - It is presented the theme additivity of biomass of tree components. To evaluate and discuss this context, experimental information collected in forests of Acacia mearnsii De Wild. was used. Equations for components (stem and crown) and total biomass were fitted by means of two procedures: 1) generalized nonlinear least squares and 2) weighted-nonlinear seemingly unrelated regressions. Analyzing the performance of the estimators, it can be concluded that the two tested procedures are equivalent. On the other hand, this conclusion differs when evaluated the consistency and efficiency of the estimators. Fitting equations for the components and for the total biomass by an independent way is not realistic, because from a biological point of view the estimates of biomass are inconsistent, i.e., are not additive. The biomass estimates of the components and of the total, resulting from equations adjusted by means of systems of equations, provided narrower confidence intervals in relation to the equations adjusted independently, and is therefore more efficient. The second procedure presents better biological properties and statistics to estimate allometric equations for biomass of the components and for the total when compared with the independent estimation, thus it should be the method to be used.
AB - It is presented the theme additivity of biomass of tree components. To evaluate and discuss this context, experimental information collected in forests of Acacia mearnsii De Wild. was used. Equations for components (stem and crown) and total biomass were fitted by means of two procedures: 1) generalized nonlinear least squares and 2) weighted-nonlinear seemingly unrelated regressions. Analyzing the performance of the estimators, it can be concluded that the two tested procedures are equivalent. On the other hand, this conclusion differs when evaluated the consistency and efficiency of the estimators. Fitting equations for the components and for the total biomass by an independent way is not realistic, because from a biological point of view the estimates of biomass are inconsistent, i.e., are not additive. The biomass estimates of the components and of the total, resulting from equations adjusted by means of systems of equations, provided narrower confidence intervals in relation to the equations adjusted independently, and is therefore more efficient. The second procedure presents better biological properties and statistics to estimate allometric equations for biomass of the components and for the total when compared with the independent estimation, thus it should be the method to be used.
KW - Biological consistency
KW - Biomass
KW - Non-linear regression
KW - System of equations
UR - http://www.scopus.com/inward/record.url?scp=85048627867&partnerID=8YFLogxK
U2 - 10.1590/0001-3765201820170684
DO - 10.1590/0001-3765201820170684
M3 - Article
C2 - 29791562
AN - SCOPUS:85048627867
SN - 0001-3765
VL - 90
SP - 1759
EP - 1774
JO - Anais da Academia Brasileira de Ciencias
JF - Anais da Academia Brasileira de Ciencias
IS - 2
ER -