EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTES
The height-diameter relationship is influenced by many variables, making difficult its modeling. The inclusion of covariates by the decomposition of model parameters can improve the model precision and help develop generic height-diameter models. This study aimed...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | Portuguese |
| Published: |
Universidade Federal de Santa Maria
2017-01-01
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| Series: | Ciência Florestal |
| Online Access: | http://www.redalyc.org/articulo.oa?id=53451635017 |
| _version_ | 1818212500610482176 |
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| author | Joyce de Almeida Alves Natalino Calegario Sebastião Carlos da Silva Rosado Geisi Azevedo Silva Ernani Lopes Possato Elliezer de Almeida Melo |
| author_facet | Joyce de Almeida Alves Natalino Calegario Sebastião Carlos da Silva Rosado Geisi Azevedo Silva Ernani Lopes Possato Elliezer de Almeida Melo |
| author_sort | Joyce de Almeida Alves |
| collection | DOAJ |
| description | The height-diameter relationship is influenced by many variables, making difficult its modeling. The inclusion of covariates by the decomposition of model parameters can improve the model precision and help develop generic height-diameter models. This study aimed to evaluate hypsometric equations and examine the inclusion of covariates for Toona ciliata , species still poorly studied. Four nonlinear equations were evaluated to represent the height as a function of age. The effect of the progeny was included in one of the equations, decomposing the parameters. Five equations, which four are nonlinear ones, were tested to represent the variation of height as a function of the diameter. The parameters of the logistic equation were decomposed and associated to the variable progenies, age, dominant and codominant height. The Asymptotic equation was the most precise to represent the height growth. The inclusion of the variable progeny in the Logistic equation improved its precision. From the set of equations tested for the height-diameter relationship, the Exponential equation was the least precise. The inclusion of covariates in the logistic equation improved its precision and among all tested covariates, the dominant and codominant height variable presented the highest gain in precision (23%). |
| first_indexed | 2024-12-12T05:49:23Z |
| format | Article |
| id | doaj.art-45a811d9fdd9462ebc37d26bb540d11b |
| institution | Directory Open Access Journal |
| issn | 0103-9954 1980-5098 |
| language | Portuguese |
| last_indexed | 2024-12-12T05:49:23Z |
| publishDate | 2017-01-01 |
| publisher | Universidade Federal de Santa Maria |
| record_format | Article |
| series | Ciência Florestal |
| spelling | doaj.art-45a811d9fdd9462ebc37d26bb540d11b2022-12-22T00:35:42ZporUniversidade Federal de Santa MariaCiência Florestal0103-99541980-50982017-01-01272581595EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTESJoyce de Almeida AlvesNatalino CalegarioSebastião Carlos da Silva RosadoGeisi Azevedo SilvaErnani Lopes PossatoElliezer de Almeida MeloThe height-diameter relationship is influenced by many variables, making difficult its modeling. The inclusion of covariates by the decomposition of model parameters can improve the model precision and help develop generic height-diameter models. This study aimed to evaluate hypsometric equations and examine the inclusion of covariates for Toona ciliata , species still poorly studied. Four nonlinear equations were evaluated to represent the height as a function of age. The effect of the progeny was included in one of the equations, decomposing the parameters. Five equations, which four are nonlinear ones, were tested to represent the variation of height as a function of the diameter. The parameters of the logistic equation were decomposed and associated to the variable progenies, age, dominant and codominant height. The Asymptotic equation was the most precise to represent the height growth. The inclusion of the variable progeny in the Logistic equation improved its precision. From the set of equations tested for the height-diameter relationship, the Exponential equation was the least precise. The inclusion of covariates in the logistic equation improved its precision and among all tested covariates, the dominant and codominant height variable presented the highest gain in precision (23%).http://www.redalyc.org/articulo.oa?id=53451635017 |
| spellingShingle | Joyce de Almeida Alves Natalino Calegario Sebastião Carlos da Silva Rosado Geisi Azevedo Silva Ernani Lopes Possato Elliezer de Almeida Melo EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTES Ciência Florestal |
| title | EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTES |
| title_full | EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTES |
| title_fullStr | EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTES |
| title_full_unstemmed | EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTES |
| title_short | EQUAÇÕES HIPSOMÉTRICAS PARA Toona ciliata COM INCLUSÃO DE COVARIANTES |
| title_sort | equacoes hipsometricas para toona ciliata com inclusao de covariantes |
| url | http://www.redalyc.org/articulo.oa?id=53451635017 |
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