Sistemas de apoio à decisão espacial aplicados ao planejamento florestal

Detalhes bibliográficos
Autor(a) principal: França, Luciano Cavalcante de Jesus
Data de Publicação: 2022
Tipo de documento: Tese
Idioma: por
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/49792
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.
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spelling Sistemas de apoio à decisão espacial aplicados ao planejamento florestalSpatial decision support systems applied to forest planningBioeconomiaPlanejamento florestal espacialManejo de paisagensEnergia renovávelFlorestas energéticasBioeconomySpatial forest planningLandscape managementRenewable energyEnergy forestsRecursos Florestais e Engenharia FlorestalBased 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Baseado em evidências observadas nas tendências de temáticas atuais em debates nacional e internacionais, sobretudo no contexto da emergência climática, é que esta tese foi estruturada, preponderamentemente, sob duas abordagens de pesquisa. Dois artigos científicos foram desenvolvidos sob pespectiva do planejamento e manejo florestal espacial. No artigo I abordamos a partir de uma revisão crítica, sistemática e bibliométrica, o estado da arte sobre o manejo de paisagens florestais em todo o mundo nas últimas quatro décadas, aproximadamente, partindo do pressuposto de que a estética e aspectos visual da floresta e sua qualidade ambiental como saída combinatória de modelos matemáticos e modelagens espaciais, pode melhorar a aceitação pública das atividades florestais e aumentar a percepção de sustentabilidade dos empreendimentos florestais. Já no artigo II, preconizamos uma abordagem sobre a transição energética para fontes alternativas e renováveis de geração elétrica, com ênfase na biomassa vegetal produzida por empreendimentos de base florestal. A partir de uma perspectiva de inteligência geográfica e planejamento florestal, desenvolvemos um sistema de apoio à decisão baseado em uma modelagem espacial multicritério em ambiente SIG associado a um modelo matemático de programação linear inteira mista para zoneamento da aptidão e disponibilidade de terras para construção de usinas termoelétricas na Bacia Hidrográfica do Rio Grande (Minas Gerais), aliado a identificação e otimização dos melhores locais de abastecimento (novos plantios e áreas já existentes) para alocação de recursos financeiros e suprimento de biomassa florestal para atender a demanda das potenciais usinas candidatas. Nesta etapa, respostas importantes serão obtidas, tais como: a) quantidade de compra de madeira nos 4 primeiros anos; b) contratos de fomento, compra e arredamento de terras para o plantio nos 6 primeiros anos; c) custos detalhados da atividade; d) mapas dos cronogramas de corte das áreas e; e) fornecimento de biomassa para atender a produção energética anual (50 MW). Em ambos os capítulos geramos resultados importantes para compor os mais recentes tópicos de discussões globais, sobretudo proporcionando ao setor de árvores plantadas no Brasil visões multidimensionais sobre a gestão de paisagens florestais e do desenvolvimento de indústrias termoelétricas baseadas em florestas energéticas.Universidade Federal de LavrasPrograma de Pós-Graduação em Engenharia FlorestalUFLAbrasilDepartamento de Ciências FlorestaisGomide, Lucas RezendeGomide, Lucas RezendeScolforo, José Roberto SoaresSilva, Carolina Souza Jarochinski eLeme, Márcio Montagnana VicenteMoreira, José Mauro Magalhães Ávila PazFrança, Luciano Cavalcante de Jesus2022-04-25T21:17:42Z2022-04-25T21:17:42Z2022-04-252022-03-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfFRANÇA, 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.http://repositorio.ufla.br/jspui/handle/1/49792porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLA2023-05-10T19:07:52Zoai:localhost:1/49792Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-10T19:07:52Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
Spatial decision support systems applied to forest planning
title Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
spellingShingle Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
França, Luciano Cavalcante de Jesus
Bioeconomia
Planejamento florestal espacial
Manejo de paisagens
Energia renovável
Florestas energéticas
Bioeconomy
Spatial forest planning
Landscape management
Renewable energy
Energy forests
Recursos Florestais e Engenharia Florestal
title_short Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
title_full Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
title_fullStr Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
title_full_unstemmed Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
title_sort Sistemas de apoio à decisão espacial aplicados ao planejamento florestal
author França, Luciano Cavalcante de Jesus
author_facet França, Luciano Cavalcante de Jesus
author_role author
dc.contributor.none.fl_str_mv 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
dc.contributor.author.fl_str_mv França, Luciano Cavalcante de Jesus
dc.subject.por.fl_str_mv Bioeconomia
Planejamento florestal espacial
Manejo de paisagens
Energia renovável
Florestas energéticas
Bioeconomy
Spatial forest planning
Landscape management
Renewable energy
Energy forests
Recursos Florestais e Engenharia Florestal
topic Bioeconomia
Planejamento florestal espacial
Manejo de paisagens
Energia renovável
Florestas energéticas
Bioeconomy
Spatial forest planning
Landscape management
Renewable energy
Energy forests
Recursos Florestais e Engenharia Florestal
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-25T21:17:42Z
2022-04-25T21:17:42Z
2022-04-25
2022-03-07
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv 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.
http://repositorio.ufla.br/jspui/handle/1/49792
identifier_str_mv 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.
url http://repositorio.ufla.br/jspui/handle/1/49792
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras
Programa de Pós-Graduação em Engenharia Florestal
UFLA
brasil
Departamento de Ciências Florestais
publisher.none.fl_str_mv Universidade Federal de Lavras
Programa de Pós-Graduação em Engenharia Florestal
UFLA
brasil
Departamento de Ciências Florestais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
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institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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