Optimal selective logging regime and log landing location models: a case study in the Amazon forest
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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. |
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Acta Amazonica |
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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 |