Avaliação da intensidade amostral na relação hipsométrica em plantios de seringueira

• Autor(a) principal: Deus, Luiz Fernando Rodrigues de
• Data de Publicação: 2024
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/41810
• topic: Inventário florestal; Forest inventory; Modelos hipsométricos; Hypsometric models; Precisão; Accuracy; CNPQ::CIENCIAS AGRARIAS

The forest inventory plays a crucial role in the sustainable management of forest plantations, involving a variety of practical activities to measure the diameter and height of trees. However, these predictions can present challenges due to planning and adverse conditions encountered in the field. Normally, measuring heights in planted forests is carried out only in a part of the population and estimated for other trees, which can result in sampling errors. The objective of this work was to minimize this condition, seeking precision in the evaluation of sampling intensity in the hypsometric relationship of a rubber tree plantation located in the municipality of Monte Carmelo Minas Gerais, with an area of 13,2 ha with the RRIM 600 clone introduced at a spacing of 8,00 x 2,90 m and age 11 years. The sampling intensities were determined by the number of trees per plot, the best hypsometric models were identified through adjustment statistics and the dominant height (hdom) was added to investigate the results. For the selection of hypsometric models seeking precision in forest plantations, an approach with several analysis criteria is necessary. Variables such as the mean quadratic diameter (dg), usable area per plant (ap) do not influence the total height, however the dominant height as an independent variable expresses good potential for use in hypsometric models. In environments with low planting technology, such that heights have little variation in relation to diameters, use may be restricted, therefore, sampling intensities did not affect the description of the type of population under study.