SciELO - Scientific Electronic Library Online

vol.35 issue5Potentialities of Brasilian regions for cellulose plant setlementDiametric distribution model thinned eucalypt stands for using a hyperbolic function author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Revista Árvore

Print version ISSN 0100-6762


CAVALCANTI, Francisco José de Barros; MACHADO, Sebastião do Amaral; OSOKAWA, Roberto Tuyuoshy  and  CUNHA, Ulisses Silva da. Comparison of values estimated by sampling to characterize the structure of a forest area in the Amazon based on the information registered in the forestry census. Rev. Árvore [online]. 2011, vol.35, n.5, pp.1061-1068. ISSN 0100-6762.

The aim of this work was to compare the estimated values obtained by sampling with the actual values recorded in the Forest Census (inventory 100%) of a forest area in the Amazon. A systematic sampling was simulated, attending the requirements of IBAMA, with 2-ha sample units and sampling intensity of 14% in a 1,000-ha area, which was subjected to a forestry census. The census and simulation of forest inventory considered only the population with DBH > 40 cm and a list of 60 species which were identified as the population of trees considered of commercial value. It was evaluated the deviations of abundance, basal area and volume per hectare of sampling in relation to population. Deviations were evaluated with respect to individual species and species grouped according to the classification of price used by the Brazilian Forest Service. Deviations were also evaluated by diameter class, by group, and the total population. Even with sampling intensity of 14%, six species (10%) were not recorded in the sample, resulting in deviations from more than 614% to more and 100% to less in relation to abundance, basal area and volume.

Keywords : Forest inventory; Sampling intensity; Accuracy.

        · abstract in Portuguese     · text in Portuguese     · Portuguese ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License