REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT

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, Souza, Agostinho Lopes de, Ribeiro, Carlos Antonio Álvares Soares
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1022
Resumo: The objective of this study was to present the formulation of alternative models of regulation of the forest, with the inclusion of environmental and social characteristics for the management of the landscape. The models were constructed for a model farm, with an area of active planting of 3491 ha, divided into 135 management units. The regulation models were formulated as type I model, including integrity constraints for the management units. We use meta-heuristic genetic algorithm for solving the models. The alternative proposals were formulated: (i) the formulation of a classical model of regulation, (ii) application of adjacency constraints, and (iii) the restriction of age classes per compartment. The models were evaluated economically by the net present value (NPV) and environmentally by the Crop Area Index (CAI). The application of the technique of genetic algorithm is efficient for solving the constructed models with socio-economic and environmental constraints. The imposition of restrictions adjacency reduced overall NPV by about 8%, and the restriction of age classes per compartment was equal to 5% when this was required in seventh year. The imposition of adjacent and compartment restrictions showed an improvement in environmental quality of the regulatory model demonstrated by the CAI. 
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spelling REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENTAdjacency constraintsenvironmental influenceseven-aged forest.The objective of this study was to present the formulation of alternative models of regulation of the forest, with the inclusion of environmental and social characteristics for the management of the landscape. The models were constructed for a model farm, with an area of active planting of 3491 ha, divided into 135 management units. The regulation models were formulated as type I model, including integrity constraints for the management units. We use meta-heuristic genetic algorithm for solving the models. The alternative proposals were formulated: (i) the formulation of a classical model of regulation, (ii) application of adjacency constraints, and (iii) the restriction of age classes per compartment. The models were evaluated economically by the net present value (NPV) and environmentally by the Crop Area Index (CAI). The application of the technique of genetic algorithm is efficient for solving the constructed models with socio-economic and environmental constraints. The imposition of restrictions adjacency reduced overall NPV by about 8%, and the restriction of age classes per compartment was equal to 5% when this was required in seventh year. The imposition of adjacent and compartment restrictions showed an improvement in environmental quality of the regulatory model demonstrated by the CAI. CERNECERNE2016-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1022CERNE; Vol. 20 No. 4 (2014); 567-573CERNE; v. 20 n. 4 (2014); 567-5732317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1022/793Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessBinoti, Daniel Henrique BredaBinoti, Mayra Luiza Marques da SilvaLeite, Helio GarciaGleriani, José MarinaldoOliveira, Márcio Leles Romarco deSouza, Agostinho Lopes deRibeiro, Carlos Antonio Álvares Soares2016-04-20T10:16:00Zoai:cerne.ufla.br:article/1022Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:19.017764Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
title REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
spellingShingle REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
Binoti, Daniel Henrique Breda
Adjacency constraints
environmental influences
even-aged forest.
title_short REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
title_full REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
title_fullStr REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
title_full_unstemmed REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
title_sort REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
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
Souza, Agostinho Lopes de
Ribeiro, Carlos Antonio Álvares Soares
author_role author
author2 Binoti, Mayra Luiza Marques da Silva
Leite, Helio Garcia
Gleriani, José Marinaldo
Oliveira, Márcio Leles Romarco de
Souza, Agostinho Lopes de
Ribeiro, Carlos Antonio Álvares Soares
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
Souza, Agostinho Lopes de
Ribeiro, Carlos Antonio Álvares Soares
dc.subject.por.fl_str_mv Adjacency constraints
environmental influences
even-aged forest.
topic Adjacency constraints
environmental influences
even-aged forest.
description The objective of this study was to present the formulation of alternative models of regulation of the forest, with the inclusion of environmental and social characteristics for the management of the landscape. The models were constructed for a model farm, with an area of active planting of 3491 ha, divided into 135 management units. The regulation models were formulated as type I model, including integrity constraints for the management units. We use meta-heuristic genetic algorithm for solving the models. The alternative proposals were formulated: (i) the formulation of a classical model of regulation, (ii) application of adjacency constraints, and (iii) the restriction of age classes per compartment. The models were evaluated economically by the net present value (NPV) and environmentally by the Crop Area Index (CAI). The application of the technique of genetic algorithm is efficient for solving the constructed models with socio-economic and environmental constraints. The imposition of restrictions adjacency reduced overall NPV by about 8%, and the restriction of age classes per compartment was equal to 5% when this was required in seventh year. The imposition of adjacent and compartment restrictions showed an improvement in environmental quality of the regulatory model demonstrated by the CAI. 
publishDate 2016
dc.date.none.fl_str_mv 2016-04-07
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/1022
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1022
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/1022/793
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. 4 (2014); 567-573
CERNE; v. 20 n. 4 (2014); 567-573
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
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