Critical analyses when modeling tree biomass to ensure additivity of its components

Alexandre Behling, Sylvio Péllico Netto, Carlos Roberto Sanquetta, Ana Paula D. Corte, David L.R. Affleck, Aurélio L. Rodrigues, Marcos Behling

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)1759-1774
    Number of pages16
    JournalAnais da Academia Brasileira de Ciencias
    Volume90
    Issue number2
    DOIs
    StatePublished - Apr 1 2018

    Keywords

    • Biological consistency
    • Biomass
    • Non-linear regression
    • System of equations

    Fingerprint

    Dive into the research topics of 'Critical analyses when modeling tree biomass to ensure additivity of its components'. Together they form a unique fingerprint.

    Cite this