Cost, time and accuracy: an optimization of the pre-harvest forest inventory in a eucalyptus stand
DOI:
https://doi.org/10.4336/2024.pfb.44e202102251Keywords:
Planted forest, Forest sampling, Economic evaluationAbstract
Forest inventory is a key practice for quantifying and qualifying the productive potential of a forest. Sampling intensity, size and shape of the plots are crucial for this activity, as these items directly affect the costs and time of data collection and influence the accuracy. This study aimed to evaluate, in terms of precision, costs and time, the use of different sizes, shapes and arrangements of sample plots in a Eucalyptus spp. pre-harvest forest inventory. The research was conducted on a farm, northern Minas Gerais, Brazil. A forest census was performed with data collection on diameter at breast height and estimations of height and volume with rigorous cubing data. For the analyzes were considered two sampling processes (systematic sampling and simple casual sampling), four plot sizes (200, 300, 400 and 500m²) and two shapes (circular and rectangular). The sample intensity was set in 5 plots for all scenarios. Simulations (10,000) were performed by the Monte Carlo method, in order to verify the probability that the values are close to the mean. The combined analysis of error, costs and measurement time showed that for an Eucalyptus spp. 8-year-old planting, casual sampling with circular plots of 300m² represents the optimal sampling scenario.
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Copyright (c) 2024 Luiz Otávio Rodrigues Pinto, Daniel Dantas, Marcela de Castro Nunes Santos Terra, José Márcio de Mello, Christian Dias Cabacinha
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