Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/49792
Título: Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
Título(s) alternativo(s): Spatial decision support systems applied to forest planning
Autores: Gomide, Lucas Rezende
Gomide, Lucas Rezende
Scolforo, José Roberto Soares
Silva, Carolina Souza Jarochinski e
Leme, Márcio Montagnana Vicente
Moreira, José Mauro Magalhães Ávila Paz
Palavras-chave: Bioeconomia
Planejamento florestal espacial
Manejo de paisagens
Energia renovável
Florestas energéticas
Bioeconomy
Spatial forest planning
Landscape management
Renewable energy
Energy forests
Data do documento: 25-Abr-2022
Editor: Universidade Federal de Lavras
Citação: FRANÇA, L. C. de J. Sistemas de apoio à decisão espacial aplicados ao planejamento florestal. 2022. 129 p. Tese (Doutorado em Engenharia Florestal) – Universidade Federal de Lavras, Lavras, 2022.
Resumo: Based on evidence observed in current hot topics in national and international debates, especially in the context of the climate emergency, this thesis was structured in two research approaches. Two scientific articles were developed from the perspective of spatial forest planning and management. In article I, from a critical, systematic, and bibliometric review, we approach the state of the art on the management of forest landscapes around the world in the last four decades, approximately, based on the assumption that the aesthetics and visual aspects of the forest and its environmental quality as a combination of mathematical and spatial models can improve public acceptance of forestry activities and increase the perception of sustainability of forestry enterprises. In article II, we advocate an approach on the energy transition to alternative and renewable sources of electricity generation, with emphasis on plant biomass produced by forest-based enterprises. From a geographic intelligence and forest planning perspective, we developed a decision support system based on a multi-criteria spatial modeling in a GIS environment associated with a mixed integer linear programming mathematical model for zoning the suitability and availability of land for constructing plants. thermoelectric plants in the Grande River Hydrographic Basin (Minas Gerais), combined with the identification and optimization of the best supply locations (new plantations and existing areas) for allocating financial resources and supplying forest biomass to meet the demand of potential candidate plants. At this stage, important answers will be obtained, such as a) quantity of wood purchased in the first 4 years; b) contracts for forest outgrower scheme, purchase and lease of land for planting in the first 6 years; c) detailed costs of the activity; d) maps of the cutting schedules of the areas and e) supply of biomass to meet the annual energy production (50 MW). In both chapters we generate important results to compose the most recent topics of global discussions, especially providing the planted tree sector in Brazil with multidimensional views on the management of forest landscapes and the development of thermoelectric industries based on energetic forests.
URI: http://repositorio.ufla.br/jspui/handle/1/49792
Aparece nas coleções:Engenharia Florestal - Doutorado (Teses)

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