Abstract

BARTH, S.R et al. Estimación de biomasa aérea de Grevillea robusta A. implantada en la provincia de Misiones, Argentina. RIA. Rev. investig. agropecu. [online]. 2018, vol.44, n.1, pp.30-40. ISSN 1669-2314.

The forest ecosystem is a potentially significative carbon pool, so it is important for it to be quantifiable. A good approximation is obtained through the knowledge of its biomass. This work was prepared based on data taken from a Grevillea robusta plantation in Posadas, Misiones, Argentina. The goal was to generate aboveground biomass estimation models through different additive estimation techniques. Models were built for each part of a tree (leaves, branches, bark and stem) and for the total aboveground biomass. For that purpose, the additive principle was considered through statistical models with simultaneous adjustments. The models assessed were those included dbh (diameter at breast height) and total height (h) as predictor variables. The addition of this last variable increased the proportion of explained variance for Grevillea robusta biomass although this was practically imperceptible. The validation contrast against independent sample, the total biomass showed an error of 8,9 % lower than the single-variable predictive model. The best result were obtained from models with logarithmic transformation of the variables. As total height is harder to measure, an alternative model using only dbh as a variable was adjusted.

Keywords : Additive models; Ordinary least squares; Seemingly unrelated regressions; Tree biomass.

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