| Revue: | Anais da Academia Brasileira de Ciencias |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000412315 |
| ISSN: | 0001-3765 |
| Autores: | Netto, Sylvio P1 Pelissari, Allan L1 Cysneiros, Vinicius C1 Bonazza, Marcelo2 Sanquetta, Carlos R1 |
| Instituciones: | 1Universidade Federal do Parana, Jardim Botanico, Curitiba, Parana. Brasil 2Universidade Federal de Santa Catarina, Curitibanos, Santa Catarina. Brasil |
| Año: | 2017 |
| Periodo: | Sep |
| Volumen: | 89 |
| Número: | 3 |
| Paginación: | 1829-1840 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | The spatial distribution of tropical tree species can affect the consistency of the estimators in commercial forest inventories, therefore, appropriate sampling procedures are required to survey species with different spatial patterns in the Amazon Forest. For this, the present study aims to evaluate the conventional sampling procedures and introduce the adaptive cluster sampling for volumetric inventories of Amazonian tree species, considering the hypotheses that the density, the spatial distribution and the zero-plots affect the consistency of the estimators, and that the adaptive cluster sampling allows to obtain more accurate volumetric estimation. We use data from a census carried out in Jamari National Forest, Brazil, where trees with diameters equal to or higher than 40 cm were measured in 1,355 plots. Species with different spatial patterns were selected and sampled with simple random sampling, systematic sampling, linear cluster sampling and adaptive cluster sampling, whereby the accuracy of the volumetric estimation and presence of zero-plots were evaluated. The sampling procedures applied to species were affected by the low density of trees and the large number of zero-plots, wherein the adaptive clusters allowed concentrating the sampling effort in plots with trees and, thus, agglutinating more representative samples to estimate the commercial volume |
| Disciplinas: | Agrociencias |
| Palabras clave: | Silvicultura, Explotación forestal, Muestreo forestal, Distribución espacial, Arboles tropicales, Inventario forestal |
| Keyword: | Agricultural sciences, Silviculture, Forest exploitation, Forest sampling, Spatial distribution, Tropical trees, Forest inventory |
| Texte intégral: | Texto completo (Ver HTML) |
