REGULATION OF EVEN-AGED FOREST WITH CONSTRAINT OF AGE CLASSES PER COMPARTMENT
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/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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Cerne (Online) |
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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:2024-05-23T16:28:49.943896Cerne (Online) - Universidade Federal de Lavras (UFLA)false |
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 |
_version_ |
1825939736349376512 |