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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
26/05/2000 |
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Data da última atualização: |
20/04/2017 |
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Autoria: |
JAGERS, P. |
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Título: |
Post-stratification against bias in sampling. |
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Ano de publicação: |
1986 |
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Fonte/Imprenta: |
International Statistical Review, v.54, n.2, p.159-167, 1986. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Amostra; Estratificacao de posto; Linha; Nonresponse; Post-stratificacao; Undercoverage. |
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Thesaurus Nal: |
bias; sampling. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00535naa a2200205 a 4500
001 1800835
005 2017-04-20
008 1986 bl --- 0-- u #d
100 1 $aJAGERS, P.
245 $aPost-stratification against bias in sampling.
260 $c1986
650 $abias
650 $asampling
653 $aAmostra
653 $aEstratificacao de posto
653 $aLinha
653 $aNonresponse
653 $aPost-stratificacao
653 $aUndercoverage
773 $tInternational Statistical Review$gv.54, n.2, p.159-167, 1986.
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Embrapa Pantanal (CPAP) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Acre. Para informações adicionais entre em contato com cpafac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
10/08/2021 |
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Data da última atualização: |
19/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
PIRES, S. A. de O.; MENDONÇA, A. R. de; SILVA, G. F. da; OLIVEIRA, M. V. N. d'; OLIVEIRA, L. C. de; SILVA, J. P. M.; SILVA, E. F. da. |
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Afiliação: |
SANDRA AGUIAR DE OLIVEIRA PIRES, Universidade Federal do Espírito Santo (UFES); ADRIANO RIBEIRO DE MENDONÇA, Universidade Federal do Espírito Santo (UFES); GILSON FERNANDES DA SILVA, Universidade Federal do Espírito Santo (UFES); MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; JEFERSON PEREIRA MARTINS SILVA, Universidade Federal do Espírito Santo (UFES); EVANDRO FERREIRA DA SILVA, Universidade Federal do Pará (UFPA). |
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Título: |
Growth modeling of Carapa guianensis and Tetragastris altissima for improved management in native forests in the Amazon. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Ecological Modelling, v. 456, 109683, Sept. 2021. |
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ISSN: |
0304-3800 |
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DOI: |
https://doi.org/10.1016/j.ecolmodel.2021.109683 |
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Idioma: |
Inglês |
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Conteúdo: |
In forests of the Amazon biome, Sustainable Forest Management Plans are based on technical guidelines. Such legislation provides for a cutting cycle that can vary from 25 to 35 years and a minimum cutting diameter of 50 cm. In view of the above, the present research aimed to evaluate the accuracy of regression models for the projection of growth in diameter and to calculate the t by diametric class for trees of the species C. guianensis and T. altíssima. Four models with fixed effects were tested and best model was selected as the base model for the incorporation of random effects. The best fixed-effect model was Pienaar and Schiver. Thus, structures of variance and autocorrelation were added to this model to correct heteroscedasticity and autocorrelation. Finally, the time of passage for each species studied was calculated. The average annual increment in diameter estimated with the Pienaar and Schiver model with fixed effect was 0.38 cm.year-1 for C. guianensis and 0.46 cm.year-1 for T. altissima. Using the Pienaar and Schiver model with a random effect, the average annual diameter increase varied from 0.31 to 0.58 cm.year-1 for C. guianensis and from 0.37 to 0.65 mm.year-1 for T. altissima. Results showed that the estimated cutting cycle varied from 24 to 45 years for the species C. guianensis and from 21 to 38 years for the species T. altissima. Thus, using the cutting time of 25 to 35 years and a minimum cutting diameter of 50 cm for these species, can lead to incorrect decisions about the intensity of logging or the appropriate length of the cutting cycle. The growth and production models depict a synthesis of the growth dynamics of the forest, allowing to providing fundamental information for the definition of planning strategies, such as the establishment of a cutting cycle and an exploration intensity more compatible with the growth rate of the forest and for each species. MenosIn forests of the Amazon biome, Sustainable Forest Management Plans are based on technical guidelines. Such legislation provides for a cutting cycle that can vary from 25 to 35 years and a minimum cutting diameter of 50 cm. In view of the above, the present research aimed to evaluate the accuracy of regression models for the projection of growth in diameter and to calculate the t by diametric class for trees of the species C. guianensis and T. altíssima. Four models with fixed effects were tested and best model was selected as the base model for the incorporation of random effects. The best fixed-effect model was Pienaar and Schiver. Thus, structures of variance and autocorrelation were added to this model to correct heteroscedasticity and autocorrelation. Finally, the time of passage for each species studied was calculated. The average annual increment in diameter estimated with the Pienaar and Schiver model with fixed effect was 0.38 cm.year-1 for C. guianensis and 0.46 cm.year-1 for T. altissima. Using the Pienaar and Schiver model with a random effect, the average annual diameter increase varied from 0.31 to 0.58 cm.year-1 for C. guianensis and from 0.37 to 0.65 mm.year-1 for T. altissima. Results showed that the estimated cutting cycle varied from 24 to 45 years for the species C. guianensis and from 21 to 38 years for the species T. altissima. Thus, using the cutting time of 25 to 35 years and a minimum cutting diameter of 50 cm for these species, can lead to incorrect... Mostrar Tudo |
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Palavras-Chave: |
Amazônia Ocidental; Análisis de regresión; Bosques primarios; Bosques tropicales; Breu; Crecimiento de planta; Embrapa Acre; Granjas de demostración; Manejo florestal; Modelos matemáticos; Rio Branco (AC); Tetragastris altissima; Western Amazon. |
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Thesagro: |
Andiroba; Campo Experimental; Carapa Guianensis; Crescimento; Essência Florestal; Floresta Nativa; Regressão Linear. |
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Thesaurus NAL: |
Demonstration farms; Forest management; Mathematical models; Plant growth; Primary forests; Regression analysis; Tropical forests. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03542naa a2200541 a 4500
001 2133427
005 2021-11-19
008 2021 bl uuuu u00u1 u #d
022 $a0304-3800
024 7 $ahttps://doi.org/10.1016/j.ecolmodel.2021.109683$2DOI
100 1 $aPIRES, S. A. de O.
245 $aGrowth modeling of Carapa guianensis and Tetragastris altissima for improved management in native forests in the Amazon.$h[electronic resource]
260 $c2021
520 $aIn forests of the Amazon biome, Sustainable Forest Management Plans are based on technical guidelines. Such legislation provides for a cutting cycle that can vary from 25 to 35 years and a minimum cutting diameter of 50 cm. In view of the above, the present research aimed to evaluate the accuracy of regression models for the projection of growth in diameter and to calculate the t by diametric class for trees of the species C. guianensis and T. altíssima. Four models with fixed effects were tested and best model was selected as the base model for the incorporation of random effects. The best fixed-effect model was Pienaar and Schiver. Thus, structures of variance and autocorrelation were added to this model to correct heteroscedasticity and autocorrelation. Finally, the time of passage for each species studied was calculated. The average annual increment in diameter estimated with the Pienaar and Schiver model with fixed effect was 0.38 cm.year-1 for C. guianensis and 0.46 cm.year-1 for T. altissima. Using the Pienaar and Schiver model with a random effect, the average annual diameter increase varied from 0.31 to 0.58 cm.year-1 for C. guianensis and from 0.37 to 0.65 mm.year-1 for T. altissima. Results showed that the estimated cutting cycle varied from 24 to 45 years for the species C. guianensis and from 21 to 38 years for the species T. altissima. Thus, using the cutting time of 25 to 35 years and a minimum cutting diameter of 50 cm for these species, can lead to incorrect decisions about the intensity of logging or the appropriate length of the cutting cycle. The growth and production models depict a synthesis of the growth dynamics of the forest, allowing to providing fundamental information for the definition of planning strategies, such as the establishment of a cutting cycle and an exploration intensity more compatible with the growth rate of the forest and for each species.
650 $aDemonstration farms
650 $aForest management
650 $aMathematical models
650 $aPlant growth
650 $aPrimary forests
650 $aRegression analysis
650 $aTropical forests
650 $aAndiroba
650 $aCampo Experimental
650 $aCarapa Guianensis
650 $aCrescimento
650 $aEssência Florestal
650 $aFloresta Nativa
650 $aRegressão Linear
653 $aAmazônia Ocidental
653 $aAnálisis de regresión
653 $aBosques primarios
653 $aBosques tropicales
653 $aBreu
653 $aCrecimiento de planta
653 $aEmbrapa Acre
653 $aGranjas de demostración
653 $aManejo florestal
653 $aModelos matemáticos
653 $aRio Branco (AC)
653 $aTetragastris altissima
653 $aWestern Amazon
700 1 $aMENDONÇA, A. R. de
700 1 $aSILVA, G. F. da
700 1 $aOLIVEIRA, M. V. N. d'
700 1 $aOLIVEIRA, L. C. de
700 1 $aSILVA, J. P. M.
700 1 $aSILVA, E. F. da
773 $tEcological Modelling$gv. 456, 109683, Sept. 2021.
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