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| 46. |  | PASTORE, T. C. M.; BRAGA, J. W. B.; CORADIN, V. T. R.; MAGALHAES, W. L. E.; OKINO, E. Y. A.; CAMARGOS, J. A. A.; BOLZON DE MUÑIZ, G. I.; DAVRIEUX, F.; BRESSAN, O. A. NIRS a potential tool for monitoring harvesting and trade of similar woods: a case study for discrimination of mahogany, cedar, and crabwood. In: CONGRESO FORESTAL MUNDIAL, 13., 2009, Buenos Aires. Desarrollo forestal: equilibrio vital. Argentina: FAO, 2009. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 52. | | COSTA, M. de O.; MELO, A. T. S. de; GOMES, J. I.; FERREIRA, G. C. Contribuição à identificação anatômica de 50 espécies madeireiras comercializadas no Estado do Pará. In: CONGRESSO NACIONAL DE BOTÂNICA, 54.; REUNIÃO AMAZÔNICA DE BOTÂNICA, 3., 2003, Belém, PA. Botânica: desafios da botânica brasileira no novo milênio: inventário, sistematização, conservação e uso da diversidade vegetal: resumos. Belém, PA: Sociedade Botânica do Brasil: UFRA: Museu Paraense Emílio Goeldi: Embrapa Amazônia Oriental, 2003. 1 CD-ROM.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 5.295 | |
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Registro Completo
|
Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
08/03/2018 |
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Data da última atualização: |
02/07/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SILVA, E. F. da; SILVA, G. F. da; FIGUEIREDO, E. O.; BINOTI, D. H. B.; MENDONÇA, A. R. de; TORRES, C. M. M. E.; PEZZOPANE, J. E. M. |
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Afiliação: |
Evandro Ferreira da Silva, Federal University of Espirito Santo (UFES); Gilson Fernandes da Silva, Federal University of Espirito Santo (UFES); EVANDRO ORFANO FIGUEIREDO, CPAF-Acre; Daniel Henrique Breda Binoti, Federal University of Espirito Santo (UFES); Adriano Ribeiro de Mendonça, Federal University of Espirito Santo (UFES); Carlos Moreira Miquelino Eleto Torres, Federal University of Viçosa (UFV); José Eduardo Macedo Pezzopane, Federal University of Espirito Santo (UFES). |
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Título: |
Allocation of storage yards in management plans in the Amazon by means of mathematical programming. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Forests, Switzerland, v. 9, n. 3, March 2018. |
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ISSN: |
1999-4907 |
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DOI: |
10.3390/f9030127 |
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Idioma: |
Inglês |
|
Conteúdo: |
The present study aimed to optimize the location of wood storage yards in forest management for the production of wood in the Brazilian Amazon. The area of forest management studied was 638.17 ha, with 1478 trees selected for harvest with a diameter at breast height of at least 50 cm in accordance with Brazilian legislation. Taking the topography into account-permanent preservation areas, restricted areas, and remaining trees-and using GIS tools, 7896 sites were identified that could be used as wood storage yards. By using mathematical programming techniques, more specifically binary integer linear programming, and based on the classical p-median model, optimal locations for the opening of yards were defined. Four scenarios were proposed combining distance and volume constraints. The scenarios evaluated promoted reductions in infrastructure investment compared with traditional planning. The results showed reductions in the number of forest roads (-6.33%) and trails to extract logs (-15.49%) when compared to traditional planning. The best performing scenario was that with the maximum volume restriction. It was concluded that the application of mathematical programming was able to promote significant gains in the harvest planning of native forests of the Amazon with the potential to reduce environmental damage. |
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Palavras-Chave: |
Estaleiro; Explotación forestal; Manejo florestal; Manejo forestal; Optimización de los sistemas; Patios de clasificación; Programación lineal. |
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Thesagro: |
Administração florestal; Armazenamento; Extração da madeira; Madeira; Método de otimização; Planejamento florestal; Programação linear. |
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Thesaurus NAL: |
Forest management; Linear programming; Logging; Sort yards; System optimization. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173696/1/26523.pdf
|
|
Marc: |
LEADER 02653naa a2200445 a 4500
001 2088822
005 2021-07-02
008 2018 bl uuuu u00u1 u #d
022 $a1999-4907
024 7 $a10.3390/f9030127$2DOI
100 1 $aSILVA, E. F. da
245 $aAllocation of storage yards in management plans in the Amazon by means of mathematical programming.$h[electronic resource]
260 $c2018
520 $aThe present study aimed to optimize the location of wood storage yards in forest management for the production of wood in the Brazilian Amazon. The area of forest management studied was 638.17 ha, with 1478 trees selected for harvest with a diameter at breast height of at least 50 cm in accordance with Brazilian legislation. Taking the topography into account-permanent preservation areas, restricted areas, and remaining trees-and using GIS tools, 7896 sites were identified that could be used as wood storage yards. By using mathematical programming techniques, more specifically binary integer linear programming, and based on the classical p-median model, optimal locations for the opening of yards were defined. Four scenarios were proposed combining distance and volume constraints. The scenarios evaluated promoted reductions in infrastructure investment compared with traditional planning. The results showed reductions in the number of forest roads (-6.33%) and trails to extract logs (-15.49%) when compared to traditional planning. The best performing scenario was that with the maximum volume restriction. It was concluded that the application of mathematical programming was able to promote significant gains in the harvest planning of native forests of the Amazon with the potential to reduce environmental damage.
650 $aForest management
650 $aLinear programming
650 $aLogging
650 $aSort yards
650 $aSystem optimization
650 $aAdministração florestal
650 $aArmazenamento
650 $aExtração da madeira
650 $aMadeira
650 $aMétodo de otimização
650 $aPlanejamento florestal
650 $aProgramação linear
653 $aEstaleiro
653 $aExplotación forestal
653 $aManejo florestal
653 $aManejo forestal
653 $aOptimización de los sistemas
653 $aPatios de clasificación
653 $aProgramación lineal
700 1 $aSILVA, G. F. da
700 1 $aFIGUEIREDO, E. O.
700 1 $aBINOTI, D. H. B.
700 1 $aMENDONÇA, A. R. de
700 1 $aTORRES, C. M. M. E.
700 1 $aPEZZOPANE, J. E. M.
773 $tForests, Switzerland$gv. 9, n. 3, March 2018.
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Embrapa Acre (CPAF-AC) |
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