Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/46310 |
Resumo: | The continuous decrease of forest cover in Brazil and the growing environmental pressure on forest-originate products increase the concern with the protection of the native forests remnants and endangered species such as the cedar (Cedrela fissilis Vell.), which has great economic prominence in the country due to the its excellent wood quality. Therefore, studying in detail its growth as a basis for its sustainable management in the forests is necessary. Based on the knowledge that nonlinear models are traditionally well fit for biological processes, this study aimed to compare the performance of the Brody, Gompertz, Logistic and von Bertalanffy models in reconstructing the cedar diametric growth. To that end, we used data from the mean diameter at breast height accumulated over time, obtained from non-destructive samples of 85 trees in an environmental preservation area. The models were fit using the R software considering the autoregressive error structure as of first order. All models demonstrated a good fit, although the Brody model was the best to describe the diametric growth of cedar over time in the studied region. |
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Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forestModelos não lineares no estudo do crescimento diamétrico de cedro em floresta tropical sazonalmente secaErros autocorrelacionadosCedrela fissilisCurva de crescimentoAnéis de crescimentoRegressão não linearAutocorrelated errorsGrowth curveGrowth ringsNonlinear regressionThe continuous decrease of forest cover in Brazil and the growing environmental pressure on forest-originate products increase the concern with the protection of the native forests remnants and endangered species such as the cedar (Cedrela fissilis Vell.), which has great economic prominence in the country due to the its excellent wood quality. Therefore, studying in detail its growth as a basis for its sustainable management in the forests is necessary. Based on the knowledge that nonlinear models are traditionally well fit for biological processes, this study aimed to compare the performance of the Brody, Gompertz, Logistic and von Bertalanffy models in reconstructing the cedar diametric growth. To that end, we used data from the mean diameter at breast height accumulated over time, obtained from non-destructive samples of 85 trees in an environmental preservation area. The models were fit using the R software considering the autoregressive error structure as of first order. All models demonstrated a good fit, although the Brody model was the best to describe the diametric growth of cedar over time in the studied region.A redução contínua da cobertura florestal no país e a crescente pressão ambiental sobre os produtos de origem florestal aumentam a preocupação com a proteção dos remanescentes de florestas nativas e das espécies ameaçadas de extinção como o cedro (Cedrela fissilis Vell.), o qual tem grande destaque econômico no Brasil devido a excelente qualidade da sua madeira. Sendo assim, faz-se necessário o estudo detalhado do seu crescimento como base para seu manejo sustentável nas florestas que o contém. Partindo do conhecimento de que os modelos não lineares são tradicionalmente bem ajustados para processos biológicos, o objetivo deste estudo foi comparar o desempenho dos modelos Brody, Gompertz, Logístico e von Bertalanffy para reconstruir o crescimento diamétrico do cedro. Para isso, foram utilizados os dados do diâmetro à altura do peito médio acumulado ao longo do tempo, obtidos de amostras não destrutivas de 85 árvores em área de preservação ambiental. O ajuste dos modelos foi feito através do software R considerando-se a estrutura de erros autorregressivos de primeira ordem. Todos os modelos apresentaram bons ajustes, porém o modelo Brody apresentou-se como o melhor para descrever o crescimento diamétrico de cedro ao longo do tempo na região de estudo.Universidade Federal Rural de Pernambuco (UFRPE)2021-05-18T18:43:32Z2021-05-18T18:43:32Z2021-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfFRÜHAUF, A. C. et al. Nonlinear models in the study of the cedar diametric growth in a seasonally dry tropical forest. Revista Brasileira de Ciências Agrárias, Recife, v. 15, n. 4, e8558, 2020. DOI: 10.5039/agraria.v15i4a8558.http://repositorio.ufla.br/jspui/handle/1/46310Revista Brasileira de Ciências Agráriasreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessFrühauf, Ariana CamposPereira, Gabriel de AssisBarbosa, Ana Carolina Maioli CamposFernandes, Tales JesusMuniz, Joel Augustoeng2021-05-18T18:44:06Zoai:localhost:1/46310Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-05-18T18:44:06Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest Modelos não lineares no estudo do crescimento diamétrico de cedro em floresta tropical sazonalmente seca |
title |
Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest |
spellingShingle |
Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest Frühauf, Ariana Campos Erros autocorrelacionados Cedrela fissilis Curva de crescimento Anéis de crescimento Regressão não linear Autocorrelated errors Growth curve Growth rings Nonlinear regression |
title_short |
Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest |
title_full |
Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest |
title_fullStr |
Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest |
title_full_unstemmed |
Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest |
title_sort |
Nonlinear models in the study of the cedar diametric growthin a seasonally dry tropical forest |
author |
Frühauf, Ariana Campos |
author_facet |
Frühauf, Ariana Campos Pereira, Gabriel de Assis Barbosa, Ana Carolina Maioli Campos Fernandes, Tales Jesus Muniz, Joel Augusto |
author_role |
author |
author2 |
Pereira, Gabriel de Assis Barbosa, Ana Carolina Maioli Campos Fernandes, Tales Jesus Muniz, Joel Augusto |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Frühauf, Ariana Campos Pereira, Gabriel de Assis Barbosa, Ana Carolina Maioli Campos Fernandes, Tales Jesus Muniz, Joel Augusto |
dc.subject.por.fl_str_mv |
Erros autocorrelacionados Cedrela fissilis Curva de crescimento Anéis de crescimento Regressão não linear Autocorrelated errors Growth curve Growth rings Nonlinear regression |
topic |
Erros autocorrelacionados Cedrela fissilis Curva de crescimento Anéis de crescimento Regressão não linear Autocorrelated errors Growth curve Growth rings Nonlinear regression |
description |
The continuous decrease of forest cover in Brazil and the growing environmental pressure on forest-originate products increase the concern with the protection of the native forests remnants and endangered species such as the cedar (Cedrela fissilis Vell.), which has great economic prominence in the country due to the its excellent wood quality. Therefore, studying in detail its growth as a basis for its sustainable management in the forests is necessary. Based on the knowledge that nonlinear models are traditionally well fit for biological processes, this study aimed to compare the performance of the Brody, Gompertz, Logistic and von Bertalanffy models in reconstructing the cedar diametric growth. To that end, we used data from the mean diameter at breast height accumulated over time, obtained from non-destructive samples of 85 trees in an environmental preservation area. The models were fit using the R software considering the autoregressive error structure as of first order. All models demonstrated a good fit, although the Brody model was the best to describe the diametric growth of cedar over time in the studied region. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-18T18:43:32Z 2021-05-18T18:43:32Z 2021-03 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
FRÜHAUF, A. C. et al. Nonlinear models in the study of the cedar diametric growth in a seasonally dry tropical forest. Revista Brasileira de Ciências Agrárias, Recife, v. 15, n. 4, e8558, 2020. DOI: 10.5039/agraria.v15i4a8558. http://repositorio.ufla.br/jspui/handle/1/46310 |
identifier_str_mv |
FRÜHAUF, A. C. et al. Nonlinear models in the study of the cedar diametric growth in a seasonally dry tropical forest. Revista Brasileira de Ciências Agrárias, Recife, v. 15, n. 4, e8558, 2020. DOI: 10.5039/agraria.v15i4a8558. |
url |
http://repositorio.ufla.br/jspui/handle/1/46310 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal Rural de Pernambuco (UFRPE) |
publisher.none.fl_str_mv |
Universidade Federal Rural de Pernambuco (UFRPE) |
dc.source.none.fl_str_mv |
Revista Brasileira de Ciências Agrárias reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1823242052857495552 |