COMPARASIO OF DIFFERENT SAMPLING METHODS, OF FIXED ANAD VARIABLE AREAS, IN Araucária angustifólia FOREST

• Autor(a) principal: Moscovich, Fabio Abel
• Data de Publicação: 1999
• Outros Autores: Brena, Doádi Antônio, Longhi, Solon Jonas
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Ciência Florestal (Online)
• Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/375
• topic: Sampling Methods; Araucaria angustifolia Forest; Forest Inventory; Métodos de amostragem; Floresta de Araucaria angustifolia; Inventário florestal.

  This research was carried out in a Araucaria angustifolia Forest which belongs to The National Forest of São Francisco de Paula, RS. Its purpose was to compare four sampling methods of variable areas (Strand, Prodan, Quadrant and Bitterlich) whith the method of Fixed Area Plot; and determining the efficiency of each method in the estimation of quantitative parameters ((commercial out bark volume, number of trees and basal area), and qualitative ones (ocurring species) of the population. The inventory of a hectare tract of forest was done considering all the trees with a breast height circumference (CAP) ≥ 30CM. These trees identified and their total commercial heights were measured. The Fixed Area Method adopted was the one with strips of 100m of length and 10m of width (10 contiguous strips od land). For the Prodan, Quadrant and Bitterlich methods, 25 points were established systematically distributed along 20m and in the Strand Method 30 contiguous line of  15,7m of length. Through analysis of variance, it was observed that these methos did not whow significant differences in term of volumes estimation, basal area and number of trees. A significant difference was found for the number of ocurring species, being the Fixed Area Method the one that showed the highest average, differing from the other methods. After writing down the time and finding the coefficient of variation for each estimation, the relative efficiency, the result was that the Strand Method was always superior to the relative efficiency in the paramenters estimation.