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| Registros recuperados : 16 | |
| 5. |  | CAMPOS, B. P. F.; SILVA, G. F. da; BINOTI, D. H. B.; MENDONÇA, A. R. de; LEITE, H. G. Predição da altura total de árvores em plantios de diferentes espécies por meio de redes neurais artificiais. Pesquisa Florestal Brasileira, Colombo, v. 36, n. 88, p. 375-385, out./dez. 2016.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | MENDONÇA, A. R. de; SILVA, G. F. da; OLIVEIRA, J. T. da S.; NOGUEIRA, G. S.; ASSIS, A. L. de. Avaliação de funções de afilamento visando a otimização de fustes de Eucalyptus sp. para multiprodutos. Cerne, Lavras, v. 13, n. 1, p. 71-82, jan./mar. 2007.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | SOUZA, C. A. M. de; SILVA, G. F. da; XAVIER, A. C.; MENDONÇA, A. R. de; ALMEIDA, A. Q. Avaliação de modelos de afilamento não-segmentados na estimação da altura e volume comercial de Eucalyptus sp. Ciência Florestal, Santa Maria, v. 18, n.3/4, p. 387-399, set./dez. 2008.| Biblioteca(s): Embrapa Florestas. |
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| 8. | | EFFGEN, E. M.; NAPPO, M. E.; CECÍLIO, R. A.; MENDONÇA. A. R. de; MANZOLE, R.; BORCARTE, M. Atributos químicos de um latossolo Vermelho-Amarelo distrófico sob cultivo de eucalipto e pastagem no sul do Espírito Santo. Scientia Forestalis, Piracicaba, v. 40, n. 95, p. 375-381, set. 2012| Biblioteca(s): Embrapa Florestas. |
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| 9. | | CAMPOS, B. P. F.; SILVA, G. F. da; BREDA BINOTI, D. H. B.; MENDONÇA, A. R. de; LEITE, H. G. Descrição do perfil do tronco de árvores em plantios de diferentes espécies por meio de redes neurais artificiais. Pesquisa Florestal Brasileira, Colombo, v. 37, n. 90, p. 99-107, abr./jun. 2017.| Biblioteca(s): Embrapa Florestas. |
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| 10. | | MENDONÇA, A. R. de; CALEGARIO, N.; SILVA, G. F. da; BORGES, L. A. C.; CHAVES e CARVALHO, S. P. Modelos hiposométricos e de crescimento em altura das árvores dominantes e codominantes para Pinus caribaea var. hondurensis. Scientia Forestalis, Piracicaba, v. 39, n. 90, p. 151-160, jun. 2011.| Biblioteca(s): Embrapa Florestas. |
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| 11. | | MENDONÇA, A. R. de; CORADIN, C. M.; PACHECO, G. R.; VIEIRA, G. C.; ARAÚJO, M. da S.; INTERAMNENSE, M. T. Modelos hipsométricos tradicionais e genéricos para Pinus caribaea var. hondurensis. Pesquisa Florestal Brasileira, Colombo, v. 35, n. 81, p. 47-54, jan./mar. 2015. Nota científica.| Biblioteca(s): Embrapa Florestas. |
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| 12. | | COELHO JUNIOR, L. M.; REZENDE, J. L. P. de; BATISTA, A. L. F.; MENDONÇA, A. R. de; LACERDA, W. S. Use of artificial neural networks for prognosis of charcoal prices in Minas Gerais. Cerne, Lavras, v. 19, n. 2, p. 281-288, abr./jun. 2013.| Biblioteca(s): Embrapa Florestas. |
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| 13. | | SILVA, G. F. da; MENDONÇA, A. R. de; HOFFMANN, R. G.; ZANETI, L. Z.; CHICHORRO, J. F.; FERREIRA, R. L. C. Rendimento em laminação de madeira de paricá na região de Paragominas, Pará. Ciência Florestal, Santa Maria, v. 25, n. 2, p. 447-455, abr./jun. 2015.| Biblioteca(s): Embrapa Florestas. |
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| 14. | | MENDONÇA, A. R. de; CALEGARIO, N.; SILVA, G. F. da; SOUZA, A. L. de; TRUGILHO, P. F.; CARVALHO, S. P. C. e; POSSATO, E. L. Modelagem da produção de sortimentos em povoamentos de eucalipto. Cerne, Lavras, v. 20, n. 4, p. 587-594, 2014.| Biblioteca(s): Embrapa Florestas. |
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| 15. | | CARVALHO, S. de P. C. e; CALEGARIO, N.; SILVA, F. F. e; BORGES, L. A. C.; MENDONÇA, A. R. de; LIMA, M. P. de. Modelos não lineares generalizados aplicados na predição da área basal e volume de Eucalyptus clonal. Cerne, Lavras, v. 17, n. 4, p. 541-548, out./dez. 2011.| Biblioteca(s): Embrapa Florestas. |
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| 16. | | CARVALHO, S. de P. C. e; RODRIGUEZ, L. C. E.; CALEGARIO, N.; SAVIAN, T. V.; LIMA, M. P. de; SILVA, C. A.; MENDONÇA, A. R. de; NICOLETTI, M. F. Modelagem não linear mista para descrever o afilamento de árvores clonais de Eucalyptus sp. Scientia Forestalis, Piracicaba, v. 42, n. 104, p. 605-614, dez. 2014.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 16 | |
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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 |
|
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
653 $aSilvicultura sustentable
653 $aTerra Santa (PA)
700 1 $aSILVA, G. F. da
700 1 $aMAURI, G. R.
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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