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 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.

Soil Health Assessment in Brazilian Subtropical Oxisol Under Land Use and Long-term Tillage Systems

“…For P in SF, an optimal P value of 6 mg dm -3 and a maximum of 12 mg dm -3 was used. Soil under native or secondary forest generally have low pH values and low levels of available nutrients [30][31][32] Finally, in step III, individual indicator scores were integrated into a weighted soil health index (SHI) by Equation 1:…”