Growth and yield models for eucalyptus stands obtained by differential equations
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
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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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 |
_version_ |
1800222793269248000 |