Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1088822
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dc.contributor.authorSILVA, E. F. da
dc.contributor.authorSILVA, G. F. da
dc.contributor.authorFIGUEIREDO, E. O.
dc.contributor.authorBINOTI, D. H. B.
dc.contributor.authorMENDONÇA, A. R. de
dc.contributor.authorTORRES, C. M. M. E.
dc.contributor.authorPEZZOPANE, J. E. M.
dc.date.accessioned2018-03-09T00:31:50Z-
dc.date.available2018-03-09T00:31:50Z-
dc.date.created2018-03-08
dc.date.issued2018
dc.identifier.citationForests, Switzerland, v. 9, n. 3, March 2018.
dc.identifier.issn1999-4907
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1088822-
dc.descriptionThe 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.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectEstaleiro
dc.subjectManejo florestal
dc.subjectExplotación forestalpt_BR
dc.subjectManejo forestalpt_BR
dc.subjectOptimización de los sistemaspt_BR
dc.subjectPatios de clasificaciónpt_BR
dc.subjectProgramación linealpt_BR
dc.titleAllocation of storage yards in management plans in the Amazon by means of mathematical programming.
dc.typeArtigo de periódico
dc.date.updated2019-01-22T11:11:11Zpt_BR
dc.subject.thesagroAdministração florestal
dc.subject.thesagroPlanejamento florestal
dc.subject.thesagroExtração da madeira
dc.subject.thesagroMadeira
dc.subject.thesagroArmazenamento
dc.subject.thesagroMétodo de otimização
dc.subject.thesagroProgramação linear
dc.subject.nalthesaurusForest management
dc.subject.nalthesaurusLogging
dc.subject.nalthesaurusSort yards
dc.subject.nalthesaurusLinear programming
dc.subject.nalthesaurusSystem optimization
riaa.ainfo.id1088822
riaa.ainfo.lastupdate2019-01-22 -02:00:00
dc.identifier.doi10.3390/f9030127
dc.contributor.institutionEvandro 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).
Aparece nas coleções:Artigo em periódico indexado (CPAF-AC)

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