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19. | | FERREIRA, P. R. S.; FORNAROLLI, D. A.; ANGHNONI, T.; OLIVEIRA, D. C.; GAZZIERO, D. L. P. Comparativo entre controle químico, mecânico e integrado o manejo de Conyza bonariensis resistente ao glifosato. In: CONGRESSO BRASILEIRO DA CIÊNCIA DAS PLANTAS DANINHAS, 28., 2012, Campo Grande. A ciência das plantas daninhas na era da biotecnologia: anais. Campo Grande: SBCPD, 2012. 5 p. Trab. 799. 1 CD-ROM. CBCPD. Biblioteca(s): Embrapa Soja. |
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20. | | TALMA, S. V.; REGIS, S. A.; FERREIRA, P. R.; SILVA, C. M.; RESENDE, E. D. DE. Characterization of pericarp fractions of yellow passion fruit: density, yield of flour, color, pectin content and degree of esterification. Food Science Technology, v. 39, Supl. 2, p. 683-689, Dez. 2019. p. 683-689 Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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Registros recuperados : 31 | |
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Registro Completo
Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
08/03/2018 |
Data da última atualização: |
02/07/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
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. |
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). |
Título: |
Allocation of storage yards in management plans in the Amazon by means of mathematical programming. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Forests, Switzerland, v. 9, n. 3, March 2018. |
ISSN: |
1999-4907 |
DOI: |
10.3390/f9030127 |
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. |
Palavras-Chave: |
Estaleiro; Explotación forestal; Manejo florestal; Manejo forestal; Optimización de los sistemas; Patios de clasificación; Programación lineal. |
Thesagro: |
Administração florestal; Armazenamento; Extração da madeira; Madeira; Método de otimização; Planejamento florestal; Programação linear. |
Thesaurus NAL: |
Forest management; Linear programming; Logging; Sort yards; System optimization. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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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