Sortimento e rotação de Pinus caribeae var. caribeae na região Centro Sul de Mato Grosso
Ano de defesa: | 2021 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Dissertação |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal de Mato Grosso
Brasil Faculdade de Engenharia Florestal (FENF) UFMT CUC - Cuiabá Programa de Pós-Graduação em Ciências Florestais e Ambientais |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | http://ri.ufmt.br/handle/1/4619 |
Resumo: | The quantification and qualification of the volume and wood products that make it possible to predict multi-products of wood, is the purpose of many forest managers, who are looking for more profitable alternatives for forest activities. Therefore, the objective of the work was to calculate the different assortments of trees and their income from a plantation of Pinus caribeae var. caribeae planted in the city of Nova Marilândia, central-south region of Mato Grosso. Also evaluate the technical rotation with the use of growth and production models, to determine the optimal technical age for final cutting of the species under study. And finally, to analyze management regimes with varying the intensity of thinning and spacing, totaling 9 scenarios. The shallow cut was simulated to occur between 20 and 25 years. For the economic analysis scenarios, which were simulated with the use of FlorExel® and the aid of electronic spreadsheets, three indicators were calculated that suggest the feasibility of the project, being able to demonstrate the risk / return of the enterprise. It can be concluded through the analysis of the assortment classes that Pinus caribeae var. caribeae generated different numbers of wood logs according to the required use, consequently, obtained different volumetry for each assortment. In relation to the management regime scenarios created, it is possible to infer that there were variations in production and economic evaluation, demonstrating that the initial density of planting, the number of thinning applied and the age of cut influence the economic results. |