The objective of the current work is the analysis of alternative sampling methods and intensities for estimating cork value before its extraction (price per unit of weight), considering the trade-off between sampling precision and costs. The dataset includes 30 sampling clusters for each of the 6 stands, where the measurement of the tree coordinates in each plot allowed for the simulation of several sampling methods and intensities, and the comparison of the percent errors and sampling costs.
Estimate reproduction cork thickness as a criterion to examine the commercial value and to fit a non-linear model for predicting cork weight to guide the forest decision makers toward a reasonable harvest.
The objective is to guide forest decision-makers towards a reasonable cork harvest by:
• examining the thickness of cork as a criterion for estimating commercial value
• evaluating the intensity of the debarking operation on the tree
• establishing a non-linear model for predicting cork weight.