Growth and yield models for eucalyptus stands obtained by differential equations

Detalhes bibliográficos
Autor(a) principal: Mendonça, Adriano Ribeiro de
Data de Publicação: 2017
Outros Autores: Calegario, Natalino, Silva, Gilson Fernandes da, Chaves e Carvalho, Samuel de Pádua
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/134517
Resumo: The main purpose of this study was to assess nonlinear models generated by integrating the basal area growth rate to estimate the growth and yield of forest stands. The database was collected from permanent sample units, in Paraopeba county, in the state of Minas Gerais, Brazil. The stands were represented by Eucalyptus camaldulensis × Eucalyptus urophylla hybrid trees, with 3 × 3 meters of spacing. The data were divided into two groups: fitting and validating databases. Two nonlinear models (Strategy A and Strategy B) were developed using differential equations to estimate the basal area growth and yield of the sample units. The logistic model was fitted to estimate the volumetric yield as a function of age, site index and basal area. The efficiency of the systems generated by logistic model and models obtained by differential equations (Strategy A and Strategy B) was also compared to the efficiency of the system estimated by the Clutter model (Strategy C). The projection models used to estimate basal area obtained by differential equations were compatible with forest growth and yield, and the logistic model with covariates was compatible with volumetric growth and yield. Strategy A and Strategy B generated different thinning and harvesting options for different site indices, which is biologically consistent.
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spelling Growth and yield models for eucalyptus stands obtained by differential equationsnonlinear modelscompatible modelsbiological consistencyThe main purpose of this study was to assess nonlinear models generated by integrating the basal area growth rate to estimate the growth and yield of forest stands. The database was collected from permanent sample units, in Paraopeba county, in the state of Minas Gerais, Brazil. The stands were represented by Eucalyptus camaldulensis × Eucalyptus urophylla hybrid trees, with 3 × 3 meters of spacing. The data were divided into two groups: fitting and validating databases. Two nonlinear models (Strategy A and Strategy B) were developed using differential equations to estimate the basal area growth and yield of the sample units. The logistic model was fitted to estimate the volumetric yield as a function of age, site index and basal area. The efficiency of the systems generated by logistic model and models obtained by differential equations (Strategy A and Strategy B) was also compared to the efficiency of the system estimated by the Clutter model (Strategy C). The projection models used to estimate basal area obtained by differential equations were compatible with forest growth and yield, and the logistic model with covariates was compatible with volumetric growth and yield. Strategy A and Strategy B generated different thinning and harvesting options for different site indices, which is biologically consistent.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2017-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/13451710.1590/1678-992x-2016-0035Scientia Agricola; v. 74 n. 5 (2017); 364-370Scientia Agricola; Vol. 74 Núm. 5 (2017); 364-370Scientia Agricola; Vol. 74 No. 5 (2017); 364-3701678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/134517/130333Copyright (c) 2017 Scientia Agricolainfo:eu-repo/semantics/openAccessMendonça, Adriano Ribeiro deCalegario, NatalinoSilva, Gilson Fernandes daChaves e Carvalho, Samuel de Pádua2017-07-17T18:29:47Zoai:revistas.usp.br:article/134517Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2017-07-17T18:29:47Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Growth and yield models for eucalyptus stands obtained by differential equations
title Growth and yield models for eucalyptus stands obtained by differential equations
spellingShingle Growth and yield models for eucalyptus stands obtained by differential equations
Mendonça, Adriano Ribeiro de
nonlinear models
compatible models
biological consistency
title_short Growth and yield models for eucalyptus stands obtained by differential equations
title_full Growth and yield models for eucalyptus stands obtained by differential equations
title_fullStr Growth and yield models for eucalyptus stands obtained by differential equations
title_full_unstemmed Growth and yield models for eucalyptus stands obtained by differential equations
title_sort Growth and yield models for eucalyptus stands obtained by differential equations
author Mendonça, Adriano Ribeiro de
author_facet Mendonça, Adriano Ribeiro de
Calegario, Natalino
Silva, Gilson Fernandes da
Chaves e Carvalho, Samuel de Pádua
author_role author
author2 Calegario, Natalino
Silva, Gilson Fernandes da
Chaves e Carvalho, Samuel de Pádua
author2_role author
author
author
dc.contributor.author.fl_str_mv Mendonça, Adriano Ribeiro de
Calegario, Natalino
Silva, Gilson Fernandes da
Chaves e Carvalho, Samuel de Pádua
dc.subject.por.fl_str_mv nonlinear models
compatible models
biological consistency
topic nonlinear models
compatible models
biological consistency
description The main purpose of this study was to assess nonlinear models generated by integrating the basal area growth rate to estimate the growth and yield of forest stands. The database was collected from permanent sample units, in Paraopeba county, in the state of Minas Gerais, Brazil. The stands were represented by Eucalyptus camaldulensis × Eucalyptus urophylla hybrid trees, with 3 × 3 meters of spacing. The data were divided into two groups: fitting and validating databases. Two nonlinear models (Strategy A and Strategy B) were developed using differential equations to estimate the basal area growth and yield of the sample units. The logistic model was fitted to estimate the volumetric yield as a function of age, site index and basal area. The efficiency of the systems generated by logistic model and models obtained by differential equations (Strategy A and Strategy B) was also compared to the efficiency of the system estimated by the Clutter model (Strategy C). The projection models used to estimate basal area obtained by differential equations were compatible with forest growth and yield, and the logistic model with covariates was compatible with volumetric growth and yield. Strategy A and Strategy B generated different thinning and harvesting options for different site indices, which is biologically consistent.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
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://www.revistas.usp.br/sa/article/view/134517
10.1590/1678-992x-2016-0035
url https://www.revistas.usp.br/sa/article/view/134517
identifier_str_mv 10.1590/1678-992x-2016-0035
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/134517/130333
dc.rights.driver.fl_str_mv Copyright (c) 2017 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 74 n. 5 (2017); 364-370
Scientia Agricola; Vol. 74 Núm. 5 (2017); 364-370
Scientia Agricola; Vol. 74 No. 5 (2017); 364-370
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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