Desenvolvimento de modelos biométricos para predição de biomassa aérea de plantios de Dendrocalamus asper (Schultes f.) Backer ex Heyne. (bambu-gigante)

Abstract

When it comes to the estimation of the biomass of this species, there are few studies on this subject, and those that exist were done through not so precise methods. Thus, the work aims to adjust models for an accurate estimation of the aerial biomass of Dendrocalamus asper through predictive models. This work has its experimental area at the Federal Technological University of Paraná in Dois Vizinhos-PR, with about 1.6ha, divided into 12 plots with 20 clumps each, with spacing of 10m between lines and 7m between plants, totaling 240 plants. A census was carried out, and subsequently slaughtered 180 stems for the quantification of biomass, being weighed "green" and subsequently removed a section of 70cm to be dried in greenhouses and weighed again, in order to observe its moisture content, to quantify the total dry weight of the bamboo stick. To test the accuracy of the models will be used the Rstudio software that is composed of a programming language for graphs and statistical calculations. The data entered in this software were related to the dendrometric variables collected in the census. In the modeling it was verified that for the prediction of stem biomass it was necessary a model with 3 independent variables, they are: DAP, ht and Dcolo. It can be verified that the model 𝐵𝑠 = 𝛽0 + 𝛽1𝑑𝑐𝑜𝑙𝑜 + 𝛽2𝑑𝑎𝑝2 + 𝛽3(𝑑𝑎𝑝 ∗ ℎ𝑡2), the three variables granted an expressive adjustment, when the r²aj value equal to 0.784 was observed. It is concluded that the biometric variables that correlate with the dry biomass of bamboo stem are mainly Dcolo, DAP and ht. However, for greater accuracy in the prediction of biomass, models should be used in which they take into account the basic density of the species.