Publication
Sampling Processes and Intensities for the Geostatistical Modeling of an Unevenly Aged Forest
| Summary: | 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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| Main Authors: | Roveda,Marcelo |
| Other Authors: | Figueiredo Filho,Afonso; Pelissari,Allan; Genú,Aline |
| Subject: | forest census Araucaria forest forest inventory kriging |
| Year: | 2019 |
| Country: | Brazil |
| Document type: | article |
| Access type: | open access |
| Associated institution: | IBICT |
| Language: | English |
| Origin: | Oasisbr |
| Summary: | 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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Funded activities
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