SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/1115 |
Resumo: | One of the biggest challenges that forest managers face in forest planning is related to logistic issues of forest harvesting. The operational planning of forest harvesting must consider simultaneously the economic and environmental concerns, searching for increasing the efficiency and mitigating environmental damage related to the opening of forest cover. The inclusion of spatial aspects in forest harvesting is usually done through adjacency constraints. The main approaches to solve this sort of problem are ARM (Area restriction Model) and URM (Unit Restriction Model) models. In this context, the objective of this study was to perform the optimized forest planning of 236 stands of a Pinus taeda and Eucalyptus sp. forest, incorporating classical constraints like available area, timber flow, among others, and ARM and URM constraints, evaluating their effects on the optimization results. With the optimization outcomes, it is possible to conclude that ARM and URM model approaches are viable alternatives for solving forest harvest scheduling problems, being the ARM approach most suited for our case study, due to the possibility of higher profitability, while respecting maximum harvesting areas. |
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SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREASForest harvestingmaximum area constraintsforest planning.One of the biggest challenges that forest managers face in forest planning is related to logistic issues of forest harvesting. The operational planning of forest harvesting must consider simultaneously the economic and environmental concerns, searching for increasing the efficiency and mitigating environmental damage related to the opening of forest cover. The inclusion of spatial aspects in forest harvesting is usually done through adjacency constraints. The main approaches to solve this sort of problem are ARM (Area restriction Model) and URM (Unit Restriction Model) models. In this context, the objective of this study was to perform the optimized forest planning of 236 stands of a Pinus taeda and Eucalyptus sp. forest, incorporating classical constraints like available area, timber flow, among others, and ARM and URM constraints, evaluating their effects on the optimization results. With the optimization outcomes, it is possible to conclude that ARM and URM model approaches are viable alternatives for solving forest harvest scheduling problems, being the ARM approach most suited for our case study, due to the possibility of higher profitability, while respecting maximum harvesting areas.CERNECERNE2016-04-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1115CERNE; Vol. 21 No. 4 (2015); 649-656CERNE; v. 21 n. 4 (2015); 649-6562317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1115/876Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessAugustynczik, Andrey Lessa DerciArce, Julio EduardoSilva, Arinei Carlos Lindbeck da2016-04-19T15:00:16Zoai:cerne.ufla.br:article/1115Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:25.372522Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS |
title |
SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS |
spellingShingle |
SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS Augustynczik, Andrey Lessa Derci Forest harvesting maximum area constraints forest planning. |
title_short |
SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS |
title_full |
SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS |
title_fullStr |
SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS |
title_full_unstemmed |
SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS |
title_sort |
SPATIAL FOREST HARVEST PLANNING CONSIDERING MAXIMUM OPERATIONAL AREAS |
author |
Augustynczik, Andrey Lessa Derci |
author_facet |
Augustynczik, Andrey Lessa Derci Arce, Julio Eduardo Silva, Arinei Carlos Lindbeck da |
author_role |
author |
author2 |
Arce, Julio Eduardo Silva, Arinei Carlos Lindbeck da |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Augustynczik, Andrey Lessa Derci Arce, Julio Eduardo Silva, Arinei Carlos Lindbeck da |
dc.subject.por.fl_str_mv |
Forest harvesting maximum area constraints forest planning. |
topic |
Forest harvesting maximum area constraints forest planning. |
description |
One of the biggest challenges that forest managers face in forest planning is related to logistic issues of forest harvesting. The operational planning of forest harvesting must consider simultaneously the economic and environmental concerns, searching for increasing the efficiency and mitigating environmental damage related to the opening of forest cover. The inclusion of spatial aspects in forest harvesting is usually done through adjacency constraints. The main approaches to solve this sort of problem are ARM (Area restriction Model) and URM (Unit Restriction Model) models. In this context, the objective of this study was to perform the optimized forest planning of 236 stands of a Pinus taeda and Eucalyptus sp. forest, incorporating classical constraints like available area, timber flow, among others, and ARM and URM constraints, evaluating their effects on the optimization results. With the optimization outcomes, it is possible to conclude that ARM and URM model approaches are viable alternatives for solving forest harvest scheduling problems, being the ARM approach most suited for our case study, due to the possibility of higher profitability, while respecting maximum harvesting areas. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-19 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/1115 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/1115 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/1115/876 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 CERNE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 21 No. 4 (2015); 649-656 CERNE; v. 21 n. 4 (2015); 649-656 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874942859214848 |