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Registro Completo |
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
08/02/2024 |
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Data da última atualização: |
08/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LACERDA, T. H. S.; FRANÇA, L. C. de J.; LOPES, I. L. e; LACERDA, S. L. S.; FIGUEIREDO, E. O.; BARBOSA, B. H. G.; SILVA, C. S. J. e; GOMIDE, L. R. |
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Afiliação: |
TALLES HUDSON SOUZA LACERDA; LUCIANO CAVALCANTE DE JESUS FRANÇA, UNIVERSIDADE FEDERAL DE UBERLÂNDIA; ISÁIRA LEITE E LOPES, UNIVERSIDADE FEDERAL DE LAVRAS; SÂMMILLY LORRAYNE SOUZA LACERDA, UNIVERSIDADE FEDERAL DE LAVRAS; EVANDRO ORFANO FIGUEIREDO, CPAF-AC; BRUNO HENRIQUE GROENNER BARBOSA, UNIVERSIDADE FEDERAL DE LAVRAS; CAROLINA SOUZA JAROCHINSKI E SILVA, UNIVERSIDADE FEDERAL DE LAVRAS; LUCAS REZENDE GOMIDE, UNIVERSIDADE FEDERAL DE LAVRAS. |
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Título: |
Multi‑objective forest harvesting under sustainable and economic principles. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Journal of Forestry Research, v. 34, p. 1379-1394, Oct. 2023. |
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ISSN: |
1007-662X |
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DOI: |
https://doi.org/10.1007/s11676-023-01614-5 |
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Idioma: |
Inglês |
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Conteúdo: |
Selective logging is well-recognized as an efective practice in sustainable forest management. However, the ecological efciency or resilience of the residual stand is often in doubt. Recovery time depends on operational variables, diversity, and forest structure. Selective logging is excellent but is open to changes. This may be resolved by mathematical programming and this study integrates the economic-ecological aspects in multi-objective function by applying two evolutionary algorithms. The function maximizes remaining stand diversity, merchantable logs, and the inverse of distance between trees for harvesting and log landings points. The Brazilian rainforest database (566 trees) was used to simulate our 216-ha model. The log landing design has a maximum volume limit of 500 m3 . The nondominated sorting genetic algorithm was applied to solve the main optimization problem. In parallel, a sub-problem (p-facility allocation) was solved for landing allocation by a genetic algorithm. Pareto frontier analysis was applied to distinguish the gradients α-economic, β-ecological, and γ-equilibrium. As expected, the solutions have high diameter changes in the residual stand (average removal of approximately 16 m3 ha−1). All solutions showed a grouping of trees selected for harvesting, although there was no formation of large clearings (percentage of canopy removal<7%, with an average of 2.5 ind ha−1). There were no diferences in foristic composition by preferentially selecting species with greater frequency in the initial stand for harvesting. This implies a lower impact on the demographic rates of the remaining stand. The methodology should support projects of reduced impact logging by using spatial-diversity information to guide better practices in tropical forests. MenosSelective logging is well-recognized as an efective practice in sustainable forest management. However, the ecological efciency or resilience of the residual stand is often in doubt. Recovery time depends on operational variables, diversity, and forest structure. Selective logging is excellent but is open to changes. This may be resolved by mathematical programming and this study integrates the economic-ecological aspects in multi-objective function by applying two evolutionary algorithms. The function maximizes remaining stand diversity, merchantable logs, and the inverse of distance between trees for harvesting and log landings points. The Brazilian rainforest database (566 trees) was used to simulate our 216-ha model. The log landing design has a maximum volume limit of 500 m3 . The nondominated sorting genetic algorithm was applied to solve the main optimization problem. In parallel, a sub-problem (p-facility allocation) was solved for landing allocation by a genetic algorithm. Pareto frontier analysis was applied to distinguish the gradients α-economic, β-ecological, and γ-equilibrium. As expected, the solutions have high diameter changes in the residual stand (average removal of approximately 16 m3 ha−1). All solutions showed a grouping of trees selected for harvesting, although there was no formation of large clearings (percentage of canopy removal<7%, with an average of 2.5 ind ha−1). There were no diferences in foristic composition by preferentially selecting specie... Mostrar Tudo |
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Palavras-Chave: |
Acre; Amazonia Occidental; Amazônia Ocidental; Análise de Fronteira de Pareto; Bosques primarios; Bujari (AC); Manejo florestal sustentável; Pareto frontier analysis; Regeneración forestal; Regeneración natural; Selective logging; Silvicultura sustentable; Western Amazon. |
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Thesagro: |
Exploração Florestal; Extração da Madeira; Floresta Nativa; Modelo Matemático; Regeneração Natural. |
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Thesaurus Nal: |
Forest regeneration; Mathematical models; Natural regeneration; Primary forests; Sustainable forestry. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161859/1/27675.pdf
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Marc: |
LEADER 03345naa a2200505 a 4500
001 2161859
005 2024-02-08
008 2023 bl uuuu u00u1 u #d
022 $a1007-662X
024 7 $ahttps://doi.org/10.1007/s11676-023-01614-5$2DOI
100 1 $aLACERDA, T. H. S.
245 $aMulti‑objective forest harvesting under sustainable and economic principles.$h[electronic resource]
260 $c2023
520 $aSelective logging is well-recognized as an efective practice in sustainable forest management. However, the ecological efciency or resilience of the residual stand is often in doubt. Recovery time depends on operational variables, diversity, and forest structure. Selective logging is excellent but is open to changes. This may be resolved by mathematical programming and this study integrates the economic-ecological aspects in multi-objective function by applying two evolutionary algorithms. The function maximizes remaining stand diversity, merchantable logs, and the inverse of distance between trees for harvesting and log landings points. The Brazilian rainforest database (566 trees) was used to simulate our 216-ha model. The log landing design has a maximum volume limit of 500 m3 . The nondominated sorting genetic algorithm was applied to solve the main optimization problem. In parallel, a sub-problem (p-facility allocation) was solved for landing allocation by a genetic algorithm. Pareto frontier analysis was applied to distinguish the gradients α-economic, β-ecological, and γ-equilibrium. As expected, the solutions have high diameter changes in the residual stand (average removal of approximately 16 m3 ha−1). All solutions showed a grouping of trees selected for harvesting, although there was no formation of large clearings (percentage of canopy removal<7%, with an average of 2.5 ind ha−1). There were no diferences in foristic composition by preferentially selecting species with greater frequency in the initial stand for harvesting. This implies a lower impact on the demographic rates of the remaining stand. The methodology should support projects of reduced impact logging by using spatial-diversity information to guide better practices in tropical forests.
650 $aForest regeneration
650 $aMathematical models
650 $aNatural regeneration
650 $aPrimary forests
650 $aSustainable forestry
650 $aExploração Florestal
650 $aExtração da Madeira
650 $aFloresta Nativa
650 $aModelo Matemático
650 $aRegeneração Natural
653 $aAcre
653 $aAmazonia Occidental
653 $aAmazônia Ocidental
653 $aAnálise de Fronteira de Pareto
653 $aBosques primarios
653 $aBujari (AC)
653 $aManejo florestal sustentável
653 $aPareto frontier analysis
653 $aRegeneración forestal
653 $aRegeneración natural
653 $aSelective logging
653 $aSilvicultura sustentable
653 $aWestern Amazon
700 1 $aFRANÇA, L. C. de J.
700 1 $aLOPES, I. L. e
700 1 $aLACERDA, S. L. S.
700 1 $aFIGUEIREDO, E. O.
700 1 $aBARBOSA, B. H. G.
700 1 $aSILVA, C. S. J. e
700 1 $aGOMIDE, L. R.
773 $tJournal of Forestry Research$gv. 34, p. 1379-1394, Oct. 2023.
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Registro original: |
Embrapa Acre (CPAF-AC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Corte. Para informações adicionais entre em contato com cnpgc.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
26/03/2009 |
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Data da última atualização: |
26/03/2009 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SILVA, L. O. C.; TSURUTA, S.; BERTRAND, J. K.; GONDO, A.; NOBRE, P. R. C.; TORRES JÚNIOR, R. A. A.; MACHADO, C. H. C. |
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Afiliação: |
Luiz Otavio Campos da Silva, CNPGC; S. Tsuruta, University of Georgia; J. K. Bertrand, University of Georgia; Andrea Gondo, CNPGC; Paulo Roberto Costa Nobre Foundation for Agric. and Environment Research Fundapam; Roberto Augusto de Almeida Torres Júnior, CNPGC; C. H. C. Machado, Brazilian Association of Zebu Breeders. |
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Título: |
An approach for considering genotype x environment interaction in the genetic evaluations of Zebu beef cattle in Brazil. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: ADSA-PSA-AMPA-ASAS JOINT ANNUAL MEETING, 2008, Indianapolis. Abstracts. Indianapolis: ADSA: ASAS, 2008. Disponível em:< http://adsa.asas.org/meetings/2008/abstracts/TOC.htm > Acesso em: 26 mar. 2009. Publicado em: Journal of Animal Science, Champaign, v. 86, E-Supplement 2; Journal of Dairy Science, Champaign, v. 91, E-Supplement 1. |
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Páginas: |
p. 207 |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Inglês |
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Notas: |
Breeding and Genetics II. O202. Trabalho W46. |
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Conteúdo: |
The objective of this study was to evaluate the importance of genetic × environment interaction when doing genetic evaluations of Zebu beef breeds in Brazil. |
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Palavras-Chave: |
Bovino de corte; Brasil; Interação genótipo ambiente; Tabapuã. |
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Thesagro: |
Crescimento; Meio Ambiente; Melhoramento Genético Animal; Parâmetro Genético; Peso. |
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Thesaurus NAL: |
zebu. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01446naa a2200337 a 4500
001 1326744
005 2009-03-26
008 2008 bl uuuu u00u1 u #d
100 1 $aSILVA, L. O. C.
245 $aAn approach for considering genotype x environment interaction in the genetic evaluations of Zebu beef cattle in Brazil.
260 $c2008
300 $ap. 207$c1 CD-ROM.
500 $aBreeding and Genetics II. O202. Trabalho W46.
520 $aThe objective of this study was to evaluate the importance of genetic × environment interaction when doing genetic evaluations of Zebu beef breeds in Brazil.
650 $azebu
650 $aCrescimento
650 $aMeio Ambiente
650 $aMelhoramento Genético Animal
650 $aParâmetro Genético
650 $aPeso
653 $aBovino de corte
653 $aBrasil
653 $aInteração genótipo ambiente
653 $aTabapuã
700 1 $aTSURUTA, S.
700 1 $aBERTRAND, J. K.
700 1 $aGONDO, A.
700 1 $aNOBRE, P. R. C.
700 1 $aTORRES JÚNIOR, R. A. A.
700 1 $aMACHADO, C. H. C.
773 $tIn: ADSA-PSA-AMPA-ASAS JOINT ANNUAL MEETING, 2008, Indianapolis. Abstracts. Indianapolis: ADSA: ASAS, 2008. Disponível em:< http://adsa.asas.org/meetings/2008/abstracts/TOC.htm > Acesso em: 26 mar. 2009. Publicado em: Journal of Animal Science, Champaign$gv. 86, E-Supplement 2; Journal of Dairy Science, Champaign, v. 91, E-Supplement 1.
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Embrapa Gado de Corte (CNPGC) |
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