Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
Floresta e Ambiente
Endereço:
Rodovia BR 465, km 07, Campus da UFRRJ - IF-NIDFLOR - UFRRJ
Seropédica / RJ
23890-000
Site: http://www.floram.org
Telefone: (21) 2681-4986
ISSN: 2179-8087
Editor Chefe: João Vicente de Figueiredo Latorraca
Início Publicação: 31/12/1993
Periodicidade: Trimestral
Área de Estudo: Ciências Agrárias, Área de Estudo: Recursos Florestais e Engenharia Florestal
Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
Ano: 2019 | Volume: 26 | Número: 1
Autores: Marcelo Roveda; Afonso Figueiredo Filho; Allan Pelissari; Aline Genú
Autor Correspondente: Marcelo Roveda | [email protected]
Autor Correspondente: Marcelo Roveda | [email protected]
Palavras-chave: forest census; Araucaria forest; forest inventory; kriging
Resumos Cadastrados
Resumo Inglês:
The aim of this study was to estimate the basal area, through traditional sampling processes and geostatistical interpolation, and compare it to the forest census carried out in 25 ha of a Mixed Ombrophilous Forest remnant. The sampling simulations were structured for the systematic sampling, two stages, and simple random, in intensities 5, 11, and 22% of the potential sample units of 25 × 25 m. The increase in sample intensity for the systematic sampling and two stages revealed a higher level of spatial behavior details of the basal area, whereas when comparing the census with sampling, it was observed that the geostatistical interpolation shows ability to improve the accuracy of the basal area estimation.
