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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
08/09/2015 |
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Data da última atualização: |
25/05/2017 |
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Autoria: |
FERRAZ FILHO, A. C.; SCOLFORO, J. R. S.; OLIVEIRA, A. D. de; MELLO, J. M. de. |
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Afiliação: |
ANTONIO CARLOS FERRAZ FILHO, UFLA; JOSÉ ROBERTO SOARES SCOLFORO, UFLA; ANTONIO DONIZETTE DE OLIVEIRA, UFLA; JOSÉ MÁRCIO DE MELLO, UFLA. |
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Título: |
Modeling growth and yield of loblolly pine stands under intensive management. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 50, n. 8, p. 707-717, ago. 2015. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Modelagem do crescimento e da produção de povoamento de Pinus taeda sob manejo intensivo. |
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Conteúdo: |
The objective of this work was to develop and validate a prognosis system for volume yield and basal area of intensively managed loblolly pine (Pinus taeda) stands, using stand and diameter class models compatible in basal area estimates. The data used in the study were obtained from plantations located in northern Uruguay. For model validation without data loss, a three?phase validation scheme was applied: first, the equations were fitted without the validation database; then, model validation was carried out; and, finally, the database was regrouped to recalibrate the parameter values. After the validation and final parameterization of the models, a simulation of the first commercial thinning was carried out. The developed prognosis system was precise and accurate in estimating basal area production per hectare or per diameter classes. There was compatibility in basal area estimates between diameter class and whole stand models, with a mean difference of ?0.01m2 ha?1. The validation scheme applied is logic and consistent, since information on the accuracy and precision of the models is obtained without the loss of any information in the estimation of the models? parameters |
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Palavras-Chave: |
Debaste; Sistema de prognose; Validação de modelo. |
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Thesagro: |
Pinus Taeda; Poda. |
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Thesaurus NAL: |
Model validation; Pruning. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/129167/1/Modeling-growth-and-yield.pdf
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Marc: |
LEADER 02022naa a2200253 a 4500
001 2023451
005 2017-05-25
008 2015 bl uuuu u00u1 u #d
100 1 $aFERRAZ FILHO, A. C.
245 $aModeling growth and yield of loblolly pine stands under intensive management.
260 $c2015
500 $aTítulo em português: Modelagem do crescimento e da produção de povoamento de Pinus taeda sob manejo intensivo.
520 $aThe objective of this work was to develop and validate a prognosis system for volume yield and basal area of intensively managed loblolly pine (Pinus taeda) stands, using stand and diameter class models compatible in basal area estimates. The data used in the study were obtained from plantations located in northern Uruguay. For model validation without data loss, a three?phase validation scheme was applied: first, the equations were fitted without the validation database; then, model validation was carried out; and, finally, the database was regrouped to recalibrate the parameter values. After the validation and final parameterization of the models, a simulation of the first commercial thinning was carried out. The developed prognosis system was precise and accurate in estimating basal area production per hectare or per diameter classes. There was compatibility in basal area estimates between diameter class and whole stand models, with a mean difference of ?0.01m2 ha?1. The validation scheme applied is logic and consistent, since information on the accuracy and precision of the models is obtained without the loss of any information in the estimation of the models? parameters
650 $aModel validation
650 $aPruning
650 $aPinus Taeda
650 $aPoda
653 $aDebaste
653 $aSistema de prognose
653 $aValidação de modelo
700 1 $aSCOLFORO, J. R. S.
700 1 $aOLIVEIRA, A. D. de
700 1 $aMELLO, J. M. de
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 50, n. 8, p. 707-717, ago. 2015.
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Embrapa Unidades Centrais (AI-SEDE) |
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