Optimal selective logging regime and log landing location models: a case study in the Amazon forest

Detalhes bibliográficos
Autor(a) principal: Silva, Paulo Henrique da
Data de Publicação: 2018
Outros Autores: Gomide, Lucas Rezende, Figueiredo, Evandro Orfanó, Carvalho, Luis Marcelo Tavares de, Ferraz-Filho, Antônio Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/34514
Resumo: Reduced-impact logging is a well known practice applied in most sustainable forest management plans in the Amazon. Nevertheless, there are still ways to improve the operational planning process. Therefore, the aim of this study was to create an integer linear programming (ILP) to fill in the knowledge gaps in the decision support system of reduced impact logging explorations. The minimization of harvest tree distance to wood log landing was assessed. Forest structure aspects, income and wood production were set in the model, as well as the adjacency constraints. Data are from a dense ombrophylous forest in the western Brazilian Amazon. We applied the phytosociological analysis and BDq method to define the selective logging criteria. Then, ILP models were formulated to allow the application of the constraints. Finally, 32 scenarios (unbalanced forest, UF, and balanced forest, BF) were generated and compared with real executed plans (RE). Robust results were achieved and the expected finding of each scenario was met. The feasibility to integrate ILP models in uneven-aged forest management projects was endorsed. Consequently, the UF and BF scenarios tested were efficient and concise, introducing new advances for forest management plans in the Amazon. The proposed models have a high potential to improve the selective logging activities in the Amazon forest.
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spelling Optimal selective logging regime and log landing location models: a case study in the Amazon forestRegime de corte seletivo ótimo em modelos de locação de pátios de estocagem de madeira: um estudo de caso na floresta amazônicaForest planningReduced-impact loggingInteger linear programmingSustainable forest managementLiocourt quocientPlanejamento florestalRegistro de impacto reduzidoProgramação linear inteiraManejo florestal sustentávelQuociente de LioncourtReduced-impact logging is a well known practice applied in most sustainable forest management plans in the Amazon. Nevertheless, there are still ways to improve the operational planning process. Therefore, the aim of this study was to create an integer linear programming (ILP) to fill in the knowledge gaps in the decision support system of reduced impact logging explorations. The minimization of harvest tree distance to wood log landing was assessed. Forest structure aspects, income and wood production were set in the model, as well as the adjacency constraints. Data are from a dense ombrophylous forest in the western Brazilian Amazon. We applied the phytosociological analysis and BDq method to define the selective logging criteria. Then, ILP models were formulated to allow the application of the constraints. Finally, 32 scenarios (unbalanced forest, UF, and balanced forest, BF) were generated and compared with real executed plans (RE). Robust results were achieved and the expected finding of each scenario was met. The feasibility to integrate ILP models in uneven-aged forest management projects was endorsed. Consequently, the UF and BF scenarios tested were efficient and concise, introducing new advances for forest management plans in the Amazon. The proposed models have a high potential to improve the selective logging activities in the Amazon forest.A exploração de impacto reduzido é uma prática bem conhecida e aplicada na maioria dos planos de manejo florestal sustentável na Amazônia. Todavia, ainda há a possibilidade de melhoria do processo de planejamento da operação. Diante da falta de métodos auxiliares à tomada de decisão, o objetivo do trabalho foi desenvolver modelos de programação linear inteira (PLI) para suprir esta demanda. Considerou-se a minimização da distância entre as árvores exploradas e os pátios de estocagem de madeira. Aspectos estruturais, econômicos e produtivos foram incorporados ao modelo, bem como restrições de adjacência. Os dados derivam de uma floresta ombrófila densa na Amazônia Ocidental. Previamente, utilizou-se uma análise fitossociológica e o método BDq como critério de remoção. Posteriormente, modelos de PLI foram formulados para exemplificar as aplicações. Finalmente, 32 cenários (para floresta desbalaceada, UF, e floresta balanceada, BF) foram gerados e comparados com o plano executado no campo (RE). Resultados robustos foram obtidos e atenderam às expectativas de cada cenário. A viabilidade da integração dos modelos de PLI em projetos de manejo de florestas ineqüiâneas foi testado. Os cenários UF e BF testados foram eficientes e concisos, confirmando seu potencial para aumentar a eficiência de planos de exploração madeireira e manejo florestal na Amazônia.Instituto Nacional de Pesquisas da Amazônia2019-06-03T12:25:53Z2019-06-03T12:25:53Z2018-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSILVA, P. H. da et al. Optimal selective logging regime and log landing location models: a case study in the Amazon Forest. Acta Amazonica, Manaus, v. 48, n. 1, p. 18-27, jan./mar. 2018.http://repositorio.ufla.br/jspui/handle/1/34514Acta Amazonicareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSilva, Paulo Henrique daGomide, Lucas RezendeFigueiredo, Evandro OrfanóCarvalho, Luis Marcelo Tavares deFerraz-Filho, Antônio Carloseng2019-06-03T12:25:54Zoai:localhost:1/34514Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2019-06-03T12:25:54Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Optimal selective logging regime and log landing location models: a case study in the Amazon forest
Regime de corte seletivo ótimo em modelos de locação de pátios de estocagem de madeira: um estudo de caso na floresta amazônica
title Optimal selective logging regime and log landing location models: a case study in the Amazon forest
spellingShingle Optimal selective logging regime and log landing location models: a case study in the Amazon forest
Silva, Paulo Henrique da
Forest planning
Reduced-impact logging
Integer linear programming
Sustainable forest management
Liocourt quocient
Planejamento florestal
Registro de impacto reduzido
Programação linear inteira
Manejo florestal sustentável
Quociente de Lioncourt
title_short Optimal selective logging regime and log landing location models: a case study in the Amazon forest
title_full Optimal selective logging regime and log landing location models: a case study in the Amazon forest
title_fullStr Optimal selective logging regime and log landing location models: a case study in the Amazon forest
title_full_unstemmed Optimal selective logging regime and log landing location models: a case study in the Amazon forest
title_sort Optimal selective logging regime and log landing location models: a case study in the Amazon forest
author Silva, Paulo Henrique da
author_facet Silva, Paulo Henrique da
Gomide, Lucas Rezende
Figueiredo, Evandro Orfanó
Carvalho, Luis Marcelo Tavares de
Ferraz-Filho, Antônio Carlos
author_role author
author2 Gomide, Lucas Rezende
Figueiredo, Evandro Orfanó
Carvalho, Luis Marcelo Tavares de
Ferraz-Filho, Antônio Carlos
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Silva, Paulo Henrique da
Gomide, Lucas Rezende
Figueiredo, Evandro Orfanó
Carvalho, Luis Marcelo Tavares de
Ferraz-Filho, Antônio Carlos
dc.subject.por.fl_str_mv Forest planning
Reduced-impact logging
Integer linear programming
Sustainable forest management
Liocourt quocient
Planejamento florestal
Registro de impacto reduzido
Programação linear inteira
Manejo florestal sustentável
Quociente de Lioncourt
topic Forest planning
Reduced-impact logging
Integer linear programming
Sustainable forest management
Liocourt quocient
Planejamento florestal
Registro de impacto reduzido
Programação linear inteira
Manejo florestal sustentável
Quociente de Lioncourt
description Reduced-impact logging is a well known practice applied in most sustainable forest management plans in the Amazon. Nevertheless, there are still ways to improve the operational planning process. Therefore, the aim of this study was to create an integer linear programming (ILP) to fill in the knowledge gaps in the decision support system of reduced impact logging explorations. The minimization of harvest tree distance to wood log landing was assessed. Forest structure aspects, income and wood production were set in the model, as well as the adjacency constraints. Data are from a dense ombrophylous forest in the western Brazilian Amazon. We applied the phytosociological analysis and BDq method to define the selective logging criteria. Then, ILP models were formulated to allow the application of the constraints. Finally, 32 scenarios (unbalanced forest, UF, and balanced forest, BF) were generated and compared with real executed plans (RE). Robust results were achieved and the expected finding of each scenario was met. The feasibility to integrate ILP models in uneven-aged forest management projects was endorsed. Consequently, the UF and BF scenarios tested were efficient and concise, introducing new advances for forest management plans in the Amazon. The proposed models have a high potential to improve the selective logging activities in the Amazon forest.
publishDate 2018
dc.date.none.fl_str_mv 2018-01
2019-06-03T12:25:53Z
2019-06-03T12:25:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv SILVA, P. H. da et al. Optimal selective logging regime and log landing location models: a case study in the Amazon Forest. Acta Amazonica, Manaus, v. 48, n. 1, p. 18-27, jan./mar. 2018.
http://repositorio.ufla.br/jspui/handle/1/34514
identifier_str_mv SILVA, P. H. da et al. Optimal selective logging regime and log landing location models: a case study in the Amazon Forest. Acta Amazonica, Manaus, v. 48, n. 1, p. 18-27, jan./mar. 2018.
url http://repositorio.ufla.br/jspui/handle/1/34514
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Nacional de Pesquisas da Amazônia
publisher.none.fl_str_mv Instituto Nacional de Pesquisas da Amazônia
dc.source.none.fl_str_mv Acta Amazonica
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1807835080262942720

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