REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS

Detalhes bibliográficos
Autor(a) principal: Binoti, Daniel Henrique Breda
Data de Publicação: 2016
Outros Autores: Binoti, Mayra Luiza Marques da Silva, Leite, Helio Garcia, Gleriani, José Marinaldo, Oliveira, Márcio Leles Romarco de, Campos, João Carlos Chagas, Monte, Marco Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/956
Resumo: This study aimed to propose alternative methods of inclusion of environmental constraints in forest regulation models. Models were constructed for an experimental rural estate with a total planted area of 3.491 ha which was divided into 135 management units. The formulation of the regulation models included integer constraints for all management units. Genetic algorithm metaheuristic was used for solving the models. For comparison purposes, the classical model of forest regulation (model I) was used, and the model with adjacency constraints. The proposed formulations proved to be environmentally more effective than the imposition of adjacency constraints. 
id UFLA-3_faf501000f957df5d064168c5159b289
oai_identifier_str oai:cerne.ufla.br:article/956
network_acronym_str UFLA-3
network_name_str Cerne (Online)
repository_id_str
spelling REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTSGenetic algorithmsadjacency constraintseucalypt.This study aimed to propose alternative methods of inclusion of environmental constraints in forest regulation models. Models were constructed for an experimental rural estate with a total planted area of 3.491 ha which was divided into 135 management units. The formulation of the regulation models included integer constraints for all management units. Genetic algorithm metaheuristic was used for solving the models. For comparison purposes, the classical model of forest regulation (model I) was used, and the model with adjacency constraints. The proposed formulations proved to be environmentally more effective than the imposition of adjacency constraints. CERNECERNE2016-04-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/956CERNE; Vol. 20 No. 1 (2014); 29-36CERNE; v. 20 n. 1 (2014); 29-362317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/956/730Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessBinoti, Daniel Henrique BredaBinoti, Mayra Luiza Marques da SilvaLeite, Helio GarciaGleriani, José MarinaldoOliveira, Márcio Leles Romarco deCampos, João Carlos ChagasMonte, Marco Antonio2016-04-06T14:57:40Zoai:cerne.ufla.br:article/956Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:14.355468Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS
title REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS
spellingShingle REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS
Binoti, Daniel Henrique Breda
Genetic algorithms
adjacency constraints
eucalypt.
title_short REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS
title_full REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS
title_fullStr REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS
title_full_unstemmed REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS
title_sort REGULATION OF EVEN-AGED FORESTS WITH INCLUSION OF ENVIRONMENTAL CONSTRAINTS
author Binoti, Daniel Henrique Breda
author_facet Binoti, Daniel Henrique Breda
Binoti, Mayra Luiza Marques da Silva
Leite, Helio Garcia
Gleriani, José Marinaldo
Oliveira, Márcio Leles Romarco de
Campos, João Carlos Chagas
Monte, Marco Antonio
author_role author
author2 Binoti, Mayra Luiza Marques da Silva
Leite, Helio Garcia
Gleriani, José Marinaldo
Oliveira, Márcio Leles Romarco de
Campos, João Carlos Chagas
Monte, Marco Antonio
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Binoti, Daniel Henrique Breda
Binoti, Mayra Luiza Marques da Silva
Leite, Helio Garcia
Gleriani, José Marinaldo
Oliveira, Márcio Leles Romarco de
Campos, João Carlos Chagas
Monte, Marco Antonio
dc.subject.por.fl_str_mv Genetic algorithms
adjacency constraints
eucalypt.
topic Genetic algorithms
adjacency constraints
eucalypt.
description This study aimed to propose alternative methods of inclusion of environmental constraints in forest regulation models. Models were constructed for an experimental rural estate with a total planted area of 3.491 ha which was divided into 135 management units. The formulation of the regulation models included integer constraints for all management units. Genetic algorithm metaheuristic was used for solving the models. For comparison purposes, the classical model of forest regulation (model I) was used, and the model with adjacency constraints. The proposed formulations proved to be environmentally more effective than the imposition of adjacency constraints. 
publishDate 2016
dc.date.none.fl_str_mv 2016-04-06
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/956
url https://cerne.ufla.br/site/index.php/CERNE/article/view/956
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/956/730
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. 20 No. 1 (2014); 29-36
CERNE; v. 20 n. 1 (2014); 29-36
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_ 1799874942330732544