Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest

ABSTRACT 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 sampli...

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Main Authors: Marcelo Roveda, Afonso Figueiredo Filho, Allan Pelissari, Aline Genú
Format: Article
Language:English
Published: Universidade Federal Rural do Rio de Janeiro 2018-12-01
Series:Floresta e Ambiente
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100101&lng=en&tlng=en
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author Marcelo Roveda
Afonso Figueiredo Filho
Allan Pelissari
Aline Genú
author_facet Marcelo Roveda
Afonso Figueiredo Filho
Allan Pelissari
Aline Genú
author_sort Marcelo Roveda
collection DOAJ
description ABSTRACT 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.
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spelling doaj.art-3d881ec716614ab1a4442aa7284dd1832022-12-21T22:45:07ZengUniversidade Federal Rural do Rio de JaneiroFloresta e Ambiente2179-80872018-12-0126110.1590/2179-8087.060916S2179-80872019000100101Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged ForestMarcelo RovedaAfonso Figueiredo FilhoAllan PelissariAline GenúABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100101&lng=en&tlng=enforest censusAraucaria forestforest inventorykriging
spellingShingle Marcelo Roveda
Afonso Figueiredo Filho
Allan Pelissari
Aline Genú
Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
Floresta e Ambiente
forest census
Araucaria forest
forest inventory
kriging
title Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
title_full Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
title_fullStr Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
title_full_unstemmed Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
title_short Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
title_sort sampling processes and intensities for the geostatistical modeling of an unevenly aged forest
topic forest census
Araucaria forest
forest inventory
kriging
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000100101&lng=en&tlng=en
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AT afonsofigueiredofilho samplingprocessesandintensitiesforthegeostatisticalmodelingofanunevenlyagedforest
AT allanpelissari samplingprocessesandintensitiesforthegeostatisticalmodelingofanunevenlyagedforest
AT alinegenu samplingprocessesandintensitiesforthegeostatisticalmodelingofanunevenlyagedforest