Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000301189 |
Resumo: | ABSTRACT Currently, there is a lack of studies on the correct utilization of continuous distributions for dry tropical forests. Therefore, this work aims to investigate the diameter structure of a brazilian tropical dry forest and to select suitable continuous distributions by means of statistic tools for the stand and the main species. Two subsets were randomly selected from 40 plots. Diameter at base height was obtained. The following functions were tested: log-normal; gamma; Weibull 2P and Burr. The best fits were selected by Akaike's information validation criterion. Overall, the diameter distribution of the dry tropical forest was better described by negative exponential curves and positive skewness. The forest studied showed diameter distributions with decreasing probability for larger trees. This behavior was observed for both the main species and the stand. The generalization of the function fitted for the main species show that the development of individual models is needed. The Burr function showed good flexibility to describe the diameter structure of the stand and the behavior of Mimosa ophthalmocentra and Bauhinia cheilantha species. For Poincianella bracteosa, Aspidosperma pyrifolium and Myracrodum urundeuva better fitting was obtained with the log-normal function. |
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Anais da Academia Brasileira de Ciências (Online) |
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Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and speciesCaatinga domaincontinuous distributiondiameter structureforest managementmaximum likelihoodABSTRACT Currently, there is a lack of studies on the correct utilization of continuous distributions for dry tropical forests. Therefore, this work aims to investigate the diameter structure of a brazilian tropical dry forest and to select suitable continuous distributions by means of statistic tools for the stand and the main species. Two subsets were randomly selected from 40 plots. Diameter at base height was obtained. The following functions were tested: log-normal; gamma; Weibull 2P and Burr. The best fits were selected by Akaike's information validation criterion. Overall, the diameter distribution of the dry tropical forest was better described by negative exponential curves and positive skewness. The forest studied showed diameter distributions with decreasing probability for larger trees. This behavior was observed for both the main species and the stand. The generalization of the function fitted for the main species show that the development of individual models is needed. The Burr function showed good flexibility to describe the diameter structure of the stand and the behavior of Mimosa ophthalmocentra and Bauhinia cheilantha species. For Poincianella bracteosa, Aspidosperma pyrifolium and Myracrodum urundeuva better fitting was obtained with the log-normal function.Academia Brasileira de Ciências2017-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000301189Anais da Academia Brasileira de Ciências v.89 n.2 2017reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201720160331info:eu-repo/semantics/openAccessLIMA,ROBSON B. DEBUFALINO,LINAALVES JUNIOR,FRANCISCO T.SILVA,JOSÉ A.A. DAFERREIRA,RINALDO L.C.eng2017-06-07T00:00:00Zoai:scielo:S0001-37652017000301189Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2017-06-07T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species |
title |
Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species |
spellingShingle |
Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species LIMA,ROBSON B. DE Caatinga domain continuous distribution diameter structure forest management maximum likelihood |
title_short |
Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species |
title_full |
Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species |
title_fullStr |
Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species |
title_full_unstemmed |
Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species |
title_sort |
Diameter distribution in a Brazilian tropical dry forest domain: predictions for the stand and species |
author |
LIMA,ROBSON B. DE |
author_facet |
LIMA,ROBSON B. DE BUFALINO,LINA ALVES JUNIOR,FRANCISCO T. SILVA,JOSÉ A.A. DA FERREIRA,RINALDO L.C. |
author_role |
author |
author2 |
BUFALINO,LINA ALVES JUNIOR,FRANCISCO T. SILVA,JOSÉ A.A. DA FERREIRA,RINALDO L.C. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
LIMA,ROBSON B. DE BUFALINO,LINA ALVES JUNIOR,FRANCISCO T. SILVA,JOSÉ A.A. DA FERREIRA,RINALDO L.C. |
dc.subject.por.fl_str_mv |
Caatinga domain continuous distribution diameter structure forest management maximum likelihood |
topic |
Caatinga domain continuous distribution diameter structure forest management maximum likelihood |
description |
ABSTRACT Currently, there is a lack of studies on the correct utilization of continuous distributions for dry tropical forests. Therefore, this work aims to investigate the diameter structure of a brazilian tropical dry forest and to select suitable continuous distributions by means of statistic tools for the stand and the main species. Two subsets were randomly selected from 40 plots. Diameter at base height was obtained. The following functions were tested: log-normal; gamma; Weibull 2P and Burr. The best fits were selected by Akaike's information validation criterion. Overall, the diameter distribution of the dry tropical forest was better described by negative exponential curves and positive skewness. The forest studied showed diameter distributions with decreasing probability for larger trees. This behavior was observed for both the main species and the stand. The generalization of the function fitted for the main species show that the development of individual models is needed. The Burr function showed good flexibility to describe the diameter structure of the stand and the behavior of Mimosa ophthalmocentra and Bauhinia cheilantha species. For Poincianella bracteosa, Aspidosperma pyrifolium and Myracrodum urundeuva better fitting was obtained with the log-normal function. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000301189 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000301189 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765201720160331 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.89 n.2 2017 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
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1754302863586099200 |