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: Acta Amazonica
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672018000100018
Resumo: ABSTRACT 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.
id INPA-3_9ebd25293e36793bdfbe390288c2e7da
oai_identifier_str oai:scielo:S0044-59672018000100018
network_acronym_str INPA-3
network_name_str Acta Amazonica
repository_id_str
spelling Optimal selective logging regime and log landing location models: a case study in the Amazon forestforest planningreduced-impact logginginteger linear programmingsustainable forest managementLiocourt quocientABSTRACT 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.Instituto Nacional de Pesquisas da Amazônia2018-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672018000100018Acta Amazonica v.48 n.1 2018reponame:Acta Amazonicainstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPA10.1590/1809-4392201603113info:eu-repo/semantics/openAccessSILVA,Paulo Henrique daGOMIDE,Lucas RezendeFIGUEIREDO,Evandro OrfanóCARVALHO,Luis Marcelo Tavares deFERRAZ-FILHO,Antônio Carloseng2018-03-06T00:00:00Zoai:scielo:S0044-59672018000100018Revistahttps://acta.inpa.gov.br/PUBhttps://old.scielo.br/oai/scielo-oai.phpacta@inpa.gov.br||acta@inpa.gov.br1809-43920044-5967opendoar:2018-03-06T00:00Acta Amazonica - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.none.fl_str_mv Optimal selective logging regime and log landing location models: a case study in the Amazon forest
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
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
topic forest planning
reduced-impact logging
integer linear programming
sustainable forest management
Liocourt quocient
description ABSTRACT 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 2018-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672018000100018
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672018000100018
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4392201603113
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
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 v.48 n.1 2018
reponame:Acta Amazonica
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Acta Amazonica
collection Acta Amazonica
repository.name.fl_str_mv Acta Amazonica - Instituto Nacional de Pesquisas da Amazônia (INPA)
repository.mail.fl_str_mv acta@inpa.gov.br||acta@inpa.gov.br
_version_ 1752129840760225792