Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Ceres |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100092 |
Resumo: | ABSTRACT Dynamics studies associated with prognosis can support planning actions for the conservation and sustainable use of forest resources. Therefore, the objective of this study was to evaluate the dynamics and predict the diameter structure using the Markov chain model for an area of caatinga forest submitted to different management practices. The study was carried out in the Contendas do Sincorá National Forest in the state of Bahia. Four treatments were installed, corresponding to three management systems and one control. Data was obtained measuring all individuals with a diameter greater than or equal to 5 cm. The measurements were performed at two moments in 2015 and 2018. The results indicated that the selective cut-by-diameter treatment had the lowest mortality rate and the highest recruitment rate. Predictions of the diameter structure using the Markov chain do not generally present statistical differences (α0.01) between the observed and expected frequencies for the year 2018. It was concluded that the basal area showed a tendency for recovery and growth in the treatments which involved suppression compared to the control, with no statistically significant differences among treatments until the moment after intervention. |
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Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, BrazilMarkov chainforest dynamicsContendas do Sincorá National ForestprognosisABSTRACT Dynamics studies associated with prognosis can support planning actions for the conservation and sustainable use of forest resources. Therefore, the objective of this study was to evaluate the dynamics and predict the diameter structure using the Markov chain model for an area of caatinga forest submitted to different management practices. The study was carried out in the Contendas do Sincorá National Forest in the state of Bahia. Four treatments were installed, corresponding to three management systems and one control. Data was obtained measuring all individuals with a diameter greater than or equal to 5 cm. The measurements were performed at two moments in 2015 and 2018. The results indicated that the selective cut-by-diameter treatment had the lowest mortality rate and the highest recruitment rate. Predictions of the diameter structure using the Markov chain do not generally present statistical differences (α0.01) between the observed and expected frequencies for the year 2018. It was concluded that the basal area showed a tendency for recovery and growth in the treatments which involved suppression compared to the control, with no statistically significant differences among treatments until the moment after intervention.Universidade Federal de Viçosa2022-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100092Revista Ceres v.69 n.1 2022reponame:Revista Ceresinstname:Universidade Federal de Viçosa (UFV)instacron:UFV10.1590/0034-737x202269010012info:eu-repo/semantics/openAccessBrito,Adriano Castro dePaula,Alessandro deBarreto-Garcia,Patrícia Anjos BittencourtSouza,Deoclides RicardoLima,Robson Borges deeng2022-01-11T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil |
title |
Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil |
spellingShingle |
Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil Brito,Adriano Castro de Markov chain forest dynamics Contendas do Sincorá National Forest prognosis |
title_short |
Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil |
title_full |
Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil |
title_fullStr |
Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil |
title_full_unstemmed |
Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil |
title_sort |
Prediction of diametric and dynamic structures in a semiarid forest (Caatinga) area submitted to Forest Management, Brazil |
author |
Brito,Adriano Castro de |
author_facet |
Brito,Adriano Castro de Paula,Alessandro de Barreto-Garcia,Patrícia Anjos Bittencourt Souza,Deoclides Ricardo Lima,Robson Borges de |
author_role |
author |
author2 |
Paula,Alessandro de Barreto-Garcia,Patrícia Anjos Bittencourt Souza,Deoclides Ricardo Lima,Robson Borges de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Brito,Adriano Castro de Paula,Alessandro de Barreto-Garcia,Patrícia Anjos Bittencourt Souza,Deoclides Ricardo Lima,Robson Borges de |
dc.subject.por.fl_str_mv |
Markov chain forest dynamics Contendas do Sincorá National Forest prognosis |
topic |
Markov chain forest dynamics Contendas do Sincorá National Forest prognosis |
dc.description.none.fl_txt_mv |
ABSTRACT Dynamics studies associated with prognosis can support planning actions for the conservation and sustainable use of forest resources. Therefore, the objective of this study was to evaluate the dynamics and predict the diameter structure using the Markov chain model for an area of caatinga forest submitted to different management practices. The study was carried out in the Contendas do Sincorá National Forest in the state of Bahia. Four treatments were installed, corresponding to three management systems and one control. Data was obtained measuring all individuals with a diameter greater than or equal to 5 cm. The measurements were performed at two moments in 2015 and 2018. The results indicated that the selective cut-by-diameter treatment had the lowest mortality rate and the highest recruitment rate. Predictions of the diameter structure using the Markov chain do not generally present statistical differences (α0.01) between the observed and expected frequencies for the year 2018. It was concluded that the basal area showed a tendency for recovery and growth in the treatments which involved suppression compared to the control, with no statistically significant differences among treatments until the moment after intervention. |
description |
ABSTRACT Dynamics studies associated with prognosis can support planning actions for the conservation and sustainable use of forest resources. Therefore, the objective of this study was to evaluate the dynamics and predict the diameter structure using the Markov chain model for an area of caatinga forest submitted to different management practices. The study was carried out in the Contendas do Sincorá National Forest in the state of Bahia. Four treatments were installed, corresponding to three management systems and one control. Data was obtained measuring all individuals with a diameter greater than or equal to 5 cm. The measurements were performed at two moments in 2015 and 2018. The results indicated that the selective cut-by-diameter treatment had the lowest mortality rate and the highest recruitment rate. Predictions of the diameter structure using the Markov chain do not generally present statistical differences (α0.01) between the observed and expected frequencies for the year 2018. It was concluded that the basal area showed a tendency for recovery and growth in the treatments which involved suppression compared to the control, with no statistically significant differences among treatments until the moment after intervention. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-01 |
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=S0034-737X2022000100092 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000100092 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-737x202269010012 |
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 |
Universidade Federal de Viçosa |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa |
dc.source.none.fl_str_mv |
Revista Ceres v.69 n.1 2022 reponame:Revista Ceres instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Revista Ceres |
collection |
Revista Ceres |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1728006784247922688 |