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| 1. |  | AGUIAR, M. O.; LEITE, C. C. C.; VIANA, J. C. C.; MATIAS, H. de B.; SILVA, R. F.; FIGUEIREDO, E. O. Alocação otimizada de torres para detecção de incêndios florestais. In: SIMPÓSIO BRASILEIRO DE PÓS-GRADUAÇÃO EM CIÊNCIAS FLORESTAIS, 9. 2016, Guarapari. Disseminação e aplicação do conhecimento científico e tecnológico nas Ciências Florestais: anais. Alegre, ES: CAUFES, 2016. p. 187-191. Organizadores: Mayra Luiza Marques da Silva, Marcos Vinicius Winkler Caldeira, Mariana Duarte Silva Fonseca, Kallil Chaves Castro.| Biblioteca(s): Embrapa Acre. |
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| 2. | | LEITE, C. C. C.; SILVA. E. F. da; SILVA, R. F.; AGUIAR, M. O.; FIGUEIREDO, E. O.; SILVA, M. L. M. da. Um método heurístico para otimizar a formação de Unidades de Produção Anual no manejo de florestas nativas na Amazônia. In: SIMPÓSIO BRASILEIRO DE PÓS-GRADUAÇÃO EM CIÊNCIAS FLORESTAIS, 9. 2016, Guarapari. Disseminação e aplicação do conhecimento científico e tecnológico nas Ciências Florestais: anais. Alegre, ES: CAUFES, 2016. p. 494-497. Organizadores: Mayra Luiza Marques da Silva, Marcos Vinicius Winkler Caldeira, Mariana Duarte Silva Fonseca, Kallil Chaves Castro.| Biblioteca(s): Embrapa Acre. |
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| 3. | | SILVA, E. F. da; SILVA, R. F.; VIEIRA, G. C.; LEITE, C. C. C.; AGUIAR, M. O.; FIGUEIREDO, E. O.; SILVA, M. L. M. da; SILVA, G. F. da. Planning of production units for native forest management areas in the Amazon. Revista Brasileira de Ciências Agrárias, v. 13, n. 1, e5502, 2018.| Biblioteca(s): Embrapa Acre. |
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| 4. | | AGUIAR, M. O.; SILVA, G. F. da; MAURI, G. R.; MENDONÇA, A. R. de; SANTANA, C. J. de O.; MARCATTI, G. E.; SILVA, M. L. M. da; SILVA, E. F. da; FIGUEIREDO, E. O.; SILVA, J. P. M.; SILVA, R. F.; SANTOS, J. S.; LAVAGNOLI, G. L.; LEITE, C. C. C. Optimizing forest road planning in a sustainable forest management area in the Brazilian Amazon. Journal of Environmental Management, v. 288, 112332, 2021.| Biblioteca(s): Embrapa Acre. |
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| Registros recuperados : 4 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Acre. Para informações adicionais entre em contato com cpafac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
20/10/2021 |
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Data da última atualização: |
20/10/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
AGUIAR, M. O.; SILVA, G. F. da; MAURI, G. R.; MENDONÇA, A. R. de; SANTANA, C. J. de O.; MARCATTI, G. E.; SILVA, M. L. M. da; SILVA, E. F. da; FIGUEIREDO, E. O.; SILVA, J. P. M.; SILVA, R. F.; SANTOS, J. S.; LAVAGNOLI, G. L.; LEITE, C. C. C. |
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Afiliação: |
MARCELO OTONE AGUIAR, Federal University of Espirito Santo (UFES); GILSON FERNANDES DA SILVA, Federal University of Espirito Santo (UFES); GERALDO REGIS MAURI, Federal University of Espirito Santo (UFES); ADRIANO RIBEIRO DE MENDONÇA, Federal University of Espirito Santo (UFES); CESAR JUNIO DE OLIVEIRA SANTANA, Remsoft Solutions; GUSTAVO EDUARDO MARCATTI, Federal University of São João del-Rei; MAYRA LUIZA MARQUES DA SILVA, Federal University of São João del-Rei; EVANDRO FERREIRA DA SILVA, Federal University of Pará (UFPA); EVANDRO ORFANO FIGUEIREDO, CPAF-AC; JEFERSON PEREIRA MARTINS SILVA, Federal University of Espirito Santo (UFES); RODRIGO FREITAS SILVA, Federal University of Espirito Santo (UFES); JEANGELIS SILVA SANTOS, Federal University of Espirito Santo (UFES); GABRIEL LESSA LAVAGNOLI, Federal University of Espirito Santo (UFES); CATHERINE CRISTINA CLAROS LEITE, UTecman Ltda. |
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Título: |
Optimizing forest road planning in a sustainable forest management area in the Brazilian Amazon. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Journal of Environmental Management, v. 288, 112332, 2021. |
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ISSN: |
0301-4797 |
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DOI: |
https://doi.org/10.1016/j.jenvman.2021.112332 |
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Idioma: |
Inglês |
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Conteúdo: |
The construction of forest roads in Brazilian Amazon is costly and has a significant environmental impact. Several practices and principles must be observed to comply with legislation, to preserve the remaining forest, and to ensure sustainable exploitation. Road planning is complex in this context, based on the number of aspects and variables that must be considered. This research aimed to evaluate computational methods? effectiveness in planning forest roads, optimizing resources to reduce damage to the remaining forest, compared to traditional planning methods. The study area was a native forest under a sustainable forest management regime located in municipalities of Terra Santa and Oriximin´a, in Par´a, in Brazilian Amazon. Data obtained from area made it possible formulate six instances of different sizes. A binary integer linear programming model was used, solved using CPLEX software, and Dijkstra, Bellman-Ford, Dial, and D?Esopo-Pape shortest path algorithm, implemented in C programming language. During processing of instances, the time taken to obtain the solution increased according to size of instance, however, time difference was not significant. Among the evaluated algorithms, the D'Esopo-Pape algorithm showed the best performance. The evaluated methods were effective in obtaining an optimal solution for proposed forest road planning. The solutions obtained using computational methods more effectively considered the restrictions associated with sustainable forest management, in contrast to those derived from the traditional planning by forestry company. MenosThe construction of forest roads in Brazilian Amazon is costly and has a significant environmental impact. Several practices and principles must be observed to comply with legislation, to preserve the remaining forest, and to ensure sustainable exploitation. Road planning is complex in this context, based on the number of aspects and variables that must be considered. This research aimed to evaluate computational methods? effectiveness in planning forest roads, optimizing resources to reduce damage to the remaining forest, compared to traditional planning methods. The study area was a native forest under a sustainable forest management regime located in municipalities of Terra Santa and Oriximin´a, in Par´a, in Brazilian Amazon. Data obtained from area made it possible formulate six instances of different sizes. A binary integer linear programming model was used, solved using CPLEX software, and Dijkstra, Bellman-Ford, Dial, and D?Esopo-Pape shortest path algorithm, implemented in C programming language. During processing of instances, the time taken to obtain the solution increased according to size of instance, however, time difference was not significant. Among the evaluated algorithms, the D'Esopo-Pape algorithm showed the best performance. The evaluated methods were effective in obtaining an optimal solution for proposed forest road planning. The solutions obtained using computational methods more effectively considered the restrictions associated with sustainable fores... Mostrar Tudo |
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Palavras-Chave: |
Amazônia Oriental; Caminos forestales; Construcción de carreteras; CPLEX software; Eastern Amazon; FLONA Saracá-Taquera; Manejo florestal sustentável; Oriximiná (PA); Pará; Planejamento de estradas; Planificación de carreteras; Programación lineal; Road planning; Silvicultura sustentable; Terra Santa (PA). |
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Thesagro: |
Estrada Rural; Impacto Ambiental; Planejamento Florestal; Programa de Computador; Programação Linear. |
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Thesaurus NAL: |
Computer software; Environmental impact; Forest roads; Linear programming; Road construction; Sustainable forestry. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
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024 7 $ahttps://doi.org/10.1016/j.jenvman.2021.112332$2DOI
100 1 $aAGUIAR, M. O.
245 $aOptimizing forest road planning in a sustainable forest management area in the Brazilian Amazon.$h[electronic resource]
260 $c2021
520 $aThe construction of forest roads in Brazilian Amazon is costly and has a significant environmental impact. Several practices and principles must be observed to comply with legislation, to preserve the remaining forest, and to ensure sustainable exploitation. Road planning is complex in this context, based on the number of aspects and variables that must be considered. This research aimed to evaluate computational methods? effectiveness in planning forest roads, optimizing resources to reduce damage to the remaining forest, compared to traditional planning methods. The study area was a native forest under a sustainable forest management regime located in municipalities of Terra Santa and Oriximin´a, in Par´a, in Brazilian Amazon. Data obtained from area made it possible formulate six instances of different sizes. A binary integer linear programming model was used, solved using CPLEX software, and Dijkstra, Bellman-Ford, Dial, and D?Esopo-Pape shortest path algorithm, implemented in C programming language. During processing of instances, the time taken to obtain the solution increased according to size of instance, however, time difference was not significant. Among the evaluated algorithms, the D'Esopo-Pape algorithm showed the best performance. The evaluated methods were effective in obtaining an optimal solution for proposed forest road planning. The solutions obtained using computational methods more effectively considered the restrictions associated with sustainable forest management, in contrast to those derived from the traditional planning by forestry company.
650 $aComputer software
650 $aEnvironmental impact
650 $aForest roads
650 $aLinear programming
650 $aRoad construction
650 $aSustainable forestry
650 $aEstrada Rural
650 $aImpacto Ambiental
650 $aPlanejamento Florestal
650 $aPrograma de Computador
650 $aProgramação Linear
653 $aAmazônia Oriental
653 $aCaminos forestales
653 $aConstrucción de carreteras
653 $aCPLEX software
653 $aEastern Amazon
653 $aFLONA Saracá-Taquera
653 $aManejo florestal sustentável
653 $aOriximiná (PA)
653 $aPará
653 $aPlanejamento de estradas
653 $aPlanificación de carreteras
653 $aProgramación lineal
653 $aRoad planning
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653 $aTerra Santa (PA)
700 1 $aSILVA, G. F. da
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700 1 $aMENDONÇA, A. R. de
700 1 $aSANTANA, C. J. de O.
700 1 $aMARCATTI, G. E.
700 1 $aSILVA, M. L. M. da
700 1 $aSILVA, E. F. da
700 1 $aFIGUEIREDO, E. O.
700 1 $aSILVA, J. P. M.
700 1 $aSILVA, R. F.
700 1 $aSANTOS, J. S.
700 1 $aLAVAGNOLI, G. L.
700 1 $aLEITE, C. C. C.
773 $tJournal of Environmental Management$gv. 288, 112332, 2021.
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