Redução da intensidade amostral em inventários florestais contínuos de eucalipto: uma abordagem por simulação

Abstract

The forestry sector in Brazil has gained economic importance and plays a crucial role in the country's economy, particularly in the production of pulp and paper. Planted forests contribute to mitigating climate change and account for over 90% of the country's industrial wood consumption. To sustain the growth of the forestry sector, effective planning, innovation, and the development of new technologies are necessary. Volumetric quantification of forests is essential for forest planning and management, providing qualitative and quantitative information. Reducing the sampling intensity in forest inventories can help reduce costs and make forest management more sustainable. This study aims to evaluate the effect of this reduction on the accuracy of continuous forest inventories in eucalyptus plantations, including growth analysis, site classification, and forest production modeling. The study analyzed the impact of reducing the sampling intensity in continuous forest inventories and found that it did not significantly affect the estimated forest volume. Furthermore, the reduction in sampling intensity had little to no impact on forest growth and site classification. The forest growth and production model remained stable and significant in all simulations, allowing for up to a 20% reduction in the number of plots without compromising the model's quality. These findings provide valuable insights for forest management decision-making.