Projection model by diameter class for native forests: focus on the Weibull probability function

Detalhes bibliográficos
Autor(a) principal: Mendes Nascimento, Rodrigo Geroni
Data de Publicação: 2012
Outros Autores: Machado, Sebastião do Amaral, Figueiredo Filho, Afonso, Higuchi, Niro
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/362
Resumo: In 1979 the technique of modeling diameter distributions by probabilistic functions was first applied for Hyink & Moser in forecasting growth and production of uneven aged and heterogeneous forests. However, today few studies use this method for planning the production in these forests for not knowing the operational feasibility of the technique. Therefore this paper presents a review of the characteristics that allow the modeling of growth and yield by diameter class, highlighting the importance of the dynamics of recruitment, mortality, survival, and population of attributes related to the modeling of Weibull distribution, with the specific statistics used in the modeling of yield by this method.doi: 10.4336/2012.pfb.32.70.93
id EMBRAPA-5_f4f49d61123b25171de5bac1e3a1d069
oai_identifier_str oai:pfb.cnpf.embrapa.br/pfb:article/362
network_acronym_str EMBRAPA-5
network_name_str Pesquisa Florestal Brasileira (Online)
repository_id_str
spelling Projection model by diameter class for native forests: focus on the Weibull probability functionModelo de projeção por classe diamétrica para florestas nativas: enfoque na função probabilística de WeibullImplicit model of projectionProbability density functionsMixed and uneven aged forestsModelo implícito de projeçãoFunções densidade de probabilidadeFlorestas multiâneas e heterogêneasIn 1979 the technique of modeling diameter distributions by probabilistic functions was first applied for Hyink & Moser in forecasting growth and production of uneven aged and heterogeneous forests. However, today few studies use this method for planning the production in these forests for not knowing the operational feasibility of the technique. Therefore this paper presents a review of the characteristics that allow the modeling of growth and yield by diameter class, highlighting the importance of the dynamics of recruitment, mortality, survival, and population of attributes related to the modeling of Weibull distribution, with the specific statistics used in the modeling of yield by this method.doi: 10.4336/2012.pfb.32.70.93Em 1979 a técnica de modelagem de distribuições diamétricas por funções probabilísticas foi aplicada pela primeira vez por Hyink & Moser na prognose do crescimento e da produção de florestas multiâneas e heterogêneas. Entretanto, atualmente, poucos trabalhos a utilizam no planejamento da produção dessas florestas por desconhecerem a viabilidade operacional da técnica. Sendo assim, esse trabalho visa apresentar uma revisão das características que propiciam a modelagem do crescimento e da produção por classe diamétrica, destacando a importância da dinâmica do recrutamento, mortalidade, sobrevivência, bem como dos atributos populacionais correlacionados à modelagem da distribuição de Weibull, apresentando as particularidades estatísticas utilizadas na modelagem da produção por esse método.doi: 10.4336/2012.pfb.32.70.93Embrapa Florestas2012-06-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/362Pesquisa Florestal Brasileira; v. 32 n. 70 (2012): abr./jun.; 209Pesquisa Florestal Brasileira; Vol. 32 No. 70 (2012): abr./jun.; 2091983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/362/266Mendes Nascimento, Rodrigo GeroniMachado, Sebastião do AmaralFigueiredo Filho, AfonsoHiguchi, Niroinfo:eu-repo/semantics/openAccess2017-04-28T12:56:44Zoai:pfb.cnpf.embrapa.br/pfb:article/362Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2017-04-28T12:56:44Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Projection model by diameter class for native forests: focus on the Weibull probability function
Modelo de projeção por classe diamétrica para florestas nativas: enfoque na função probabilística de Weibull
title Projection model by diameter class for native forests: focus on the Weibull probability function
spellingShingle Projection model by diameter class for native forests: focus on the Weibull probability function
Mendes Nascimento, Rodrigo Geroni
Implicit model of projection
Probability density functions
Mixed and uneven aged forests
Modelo implícito de projeção
Funções densidade de probabilidade
Florestas multiâneas e heterogêneas
title_short Projection model by diameter class for native forests: focus on the Weibull probability function
title_full Projection model by diameter class for native forests: focus on the Weibull probability function
title_fullStr Projection model by diameter class for native forests: focus on the Weibull probability function
title_full_unstemmed Projection model by diameter class for native forests: focus on the Weibull probability function
title_sort Projection model by diameter class for native forests: focus on the Weibull probability function
author Mendes Nascimento, Rodrigo Geroni
author_facet Mendes Nascimento, Rodrigo Geroni
Machado, Sebastião do Amaral
Figueiredo Filho, Afonso
Higuchi, Niro
author_role author
author2 Machado, Sebastião do Amaral
Figueiredo Filho, Afonso
Higuchi, Niro
author2_role author
author
author
dc.contributor.author.fl_str_mv Mendes Nascimento, Rodrigo Geroni
Machado, Sebastião do Amaral
Figueiredo Filho, Afonso
Higuchi, Niro
dc.subject.por.fl_str_mv Implicit model of projection
Probability density functions
Mixed and uneven aged forests
Modelo implícito de projeção
Funções densidade de probabilidade
Florestas multiâneas e heterogêneas
topic Implicit model of projection
Probability density functions
Mixed and uneven aged forests
Modelo implícito de projeção
Funções densidade de probabilidade
Florestas multiâneas e heterogêneas
description In 1979 the technique of modeling diameter distributions by probabilistic functions was first applied for Hyink & Moser in forecasting growth and production of uneven aged and heterogeneous forests. However, today few studies use this method for planning the production in these forests for not knowing the operational feasibility of the technique. Therefore this paper presents a review of the characteristics that allow the modeling of growth and yield by diameter class, highlighting the importance of the dynamics of recruitment, mortality, survival, and population of attributes related to the modeling of Weibull distribution, with the specific statistics used in the modeling of yield by this method.doi: 10.4336/2012.pfb.32.70.93
publishDate 2012
dc.date.none.fl_str_mv 2012-06-13
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://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/362
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/362
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/362/266
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 32 n. 70 (2012): abr./jun.; 209
Pesquisa Florestal Brasileira; Vol. 32 No. 70 (2012): abr./jun.; 209
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
_version_ 1783370933572993024