Characterization of wood popularly known as “Louros” in the Brazilian amazon by visible spectroscopy and CIELAB parameters

Aim of study: The objective this work was to evaluate the potential colorimetry discriminate wood from “louros” group, in particular contribute a database Brazilian native species for future application logging control actions. Area wooden discs were collected Sustainable Forest Management (AMFS) belonging two extractivist communities, Paraiso and Arimum, both “Green Forever” Extractivist Reserve, municipality Porto de Moz, Pará state, Brazil. Material methods: Colorimetric evaluation carried out based on data CIEL*a*b* system, analyzed using PCA ANOVA completely randomized design two-factor scheme. Main results: produced some evidence color patterns parameters may be more useful caracterization. Longitudinal surfaces indicated group system produce helpful information distinction so, colorimetric technique can an auxiliary tool separation complementary other techniques as anatomy. Research highlights: Correct discrimination commerce control; species.