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| Registros recuperados : 216 | |
| 144. |  | FONTANA, A.; PEREIRA, M. G.; BALIEIRO, F. de C.; CHAGAS, C. da S.; DONAGEMMA, G. K.; OLIVEIRA, L. S de. Resistance of soil organic matter in "humic A horizons" of the mountainous region in the state of Rio de Janeiro. Floresta e Ambiente, v. 27, n. 1, e20190091, 2020.| Biblioteca(s): Embrapa Solos. |
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| 145. | | GURGEL, G. C. de S.; FERRARI, A. C.; FONTANA, A.; POLIDORO, J. C.; COELHO, L. de A. M; ZONTA, E. Volatilização de amônia proveniente de fertilizantes minerais mistos contendo ureia. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 51, n. 9, p. 1686-1694, set. 2016.| Biblioteca(s): Embrapa Solos; Embrapa Unidades Centrais. |
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| 150. | | SANTOS, M. L.; MAIA, S.; RODRIGUES, R. de A. R.; FONTANA, A.; DONAGEMMA, G. K.; BALIEIRO, F. de C.; VALLE, T. de S. Carbono do solo sob diferentes usos no Semiárido Nordestino. In: WORKSHOP DE ENGENHARIA DE BIOSSISTEMAS, 3., 2017, Niterói. Anais... Niterói: Agrah Consultoria, 2017. p. 115-119.| Biblioteca(s): Embrapa Solos. |
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| 151. | | SANTAREN, K. C. F.; ARMACOLO, N. M.; BALIEIRO, F. de C.; RODRIGUES, R. de A. R.; ALVES, B. J. R.; FONTANA, A.; RACHID, C. T. C. C. Compositional and functional response of bacterial communities and soil greenhouse gas fluxes in pastures after a strong precipitation-induced event. Applied Soil Ecology, v. 196, 105288, Apr. 2024.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Solos. |
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| 152. | | FONTANA, A.; SCHAEFER, C. E. G. R.; ANJOS, L. H. C. dos; KER, J. C.; PEREIRA, M. G.; SENRA, E. O.; COELHO, R. M. Soils from the atlantic forest. In: SCHAEFER, C. E. G. R. (ed.). The soils of Brazil. Cham: Springer, 2023. cap. 7, p. 195-220. (World soils book series).| Biblioteca(s): Embrapa Solos. |
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| 154. | | HORÁK-TERRA, I.; TERRA, F. da S.; LOPES, A. K. A.; DOBBSS, L. B.; FONTANA, A.; SILVA, A. C.; VIDAL-TORRADO, P. Soil characterization and drainage effects in a savanna palm swamp (vereda) of an agricultural area from Central Brazil. Revista Brasileira de Ciência do Solo, v. 46, e0210065, 2022.| Biblioteca(s): Embrapa Solos. |
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| 155. | | MIRANDA, C. S. S.; ANJOS, L. H. C. dos; PEREIRA, M. G.; SILVA, M. B. e; FONTANA, A.; DANTAS, J. S.; JESUS, A. S. de. Síntese das recomendações da XIII RCC para o aprimoramento do Sistema Brasileiro de Classificação de Solos (SiBCS). In: SILVA, M. B. e; LUMBRERAS, J. F.; COELHO, M. R.; OLIVEIRA, V. A. de (ed.). Guia de campo da XIII Reunião Brasileira de Classificação e Correlação de Solos: RCC do Maranhão. Brasília, DF: Embrapa, 2020. E-book. cap. 23.| Biblioteca(s): Embrapa Solos. |
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| 156. | | BORTOLON, E. S. O.; BORTOLON, L.; SOUZA, J. P. de; CONCEIÇÃO, W. S. S.; LIMA, A. de O.; CAMARGO, F. P.; FONTANA, A.; DONAGEMMA, G. K. Impacto da intensificação agrícola sobre os estoques de carbono orgânico em solo arenoso do Tocantins. In: ENCONTRO NACIONAL DE PLANTIO DIRETO NA PALHA, 15., 2016, Goiânia. Palha, ambiente e renda: resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2016. p. 21. (Embrapa Arroz e Feijão. Documentos, 313).| Biblioteca(s): Embrapa Pesca e Aquicultura. |
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| 157. | | SANTAREN, K. C. F.; ARMACOLO, N. M.; BALIEIRO, F. de C.; ALVES, B. J. R.; FONTANA, A.; RACHID, C. T. C. C. Greenhouse gases fluxes associated with the compositional and functional dynamics of bacterial communities in response to rain on pasture soils. In: ISME LATIN AMERICAN REGIONAL CONFERENCE, 13; PAN AMERICAN REGIONAL CONFERENCE, 5. ISME-LAT 2021, Bogotá, 2021. Abstracts. Bogotá, Universidad de los Andes, 2021. p. 256| Biblioteca(s): Embrapa Agrobiologia. |
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| 158. | | DONAGEMMA, G. K.; MACEDO, J. R. de; PRADO, R. B.; SCHULER, A. E.; RANGEL, L. de A.; BALIEIRO, F. de C.; FONTANA, A.; CESÁRIO, F. V. Índices de agregação e carbono nos agregados em um Latossolo vermelho-amarelo sob diferentes usos de Trajano de Moraes - RJ. Rio de Janeiro: Embrapa Solos, 2011. 18 p. (Embrapa Solos. Boletim de pesquisa e desenvolvimento, 198).| Biblioteca(s): Embrapa Solos. |
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| 159. | | SILVA NETO, E. C. da; PEREIRA, M. G.; SCHIAVO, J. A.; FONTANA, A.; FERNANDES, J. C. F.; ANJOS, L. H. C. dos. Atributos edáficos de Latossolos com horizontes A húmico como ferramentas para reconstrução paleoambiental. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo, 2015.| Biblioteca(s): Embrapa Solos / UEP-Recife. |
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| 160. | | SILVA NETO, E. C. da; PEREIRA, M. G.; SCHIAVO, J. A.; FONTANA, A.; FERNANDES, J. C. F.; ANJOS, L. H. C. dos. Atributos edáficos de Latossolos com horizontes A húmico como ferramentas para reconstrução paleoambiental. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo, 2015.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 216 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
26/06/2020 |
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Data da última atualização: |
26/06/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
CORDEIRO, F. R.; CESÁRIO, F. V.; FONTANA, A.; ANJOS, L. H. C. dos; CANTO, A. C. B. do; TEIXEIRA, W. G. |
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Afiliação: |
FERNANDA REIS CORDEIRO, UFRRJ; FERNANDO VIEIRA CESÁRIO, UFF; ADEMIR FONTANA, CNPS; LÚCIA HELENA CUNHA DOS ANJOS, UFRRJ; ANA CAROLINA BARBOSA DO CANTO, UFF; WENCESLAU GERALDES TEIXEIRA, CNPS. |
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Título: |
Pedotransfer functions: the role of soil chemical properties units coversion for soil classification. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, v. 44, e0190086, 2020. |
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DOI: |
https://doi.org/10.36783/18069657rbcs20190 |
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Idioma: |
Inglês |
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Conteúdo: |
Chemical soil analysis data can be expressed by weight (i.e., gravimetric basis) or volume (i.e., volumetric basis) of the fine earth (sieved >=2 mm), resulting in different units, cmolc kg-1 and cmolc dm-3, respectively. The research problem is that the difference between methods to express the same soil properties hinders the comparison of results and database or dataset standardization. This paper aims to develop pedotransfer functions (PTF) to obtain the density of fine earth, which will then be used for conversion data expressed in volumetric to gravimetric basis, or vice versa, that will be applied to compare results and to standardize databases with different units. Soils samples, including profiles of the main soil orders in Brazil such as Latossolos (Ferralsols or Oxisols)and Argissolos (Acrisols or Ultisols), from the states of Rondônia, Roraima, and Mato Grosso do Sul (132 horizons) were selected and weighed (in triplicate) to obtain the fine earth mass contained in a volume of 10 cm3. The mass values were used to calculate the fine earth density. Spearman's correlation analysis was used between the density and nine soil properties (coarse sand, fine sand, total sand, silt, clay, clay dispersed in water, clay dispersion, particle density, and organic carbon). The total sand, clay, and organic carbon showed the best correlations, therefore they were selected to construct the pedotransfer functions. Nonlinear regression techniques were used to obtain the models (PTFs) to predict density, which was used for unit conversion. As a result, the residual standard error (RSE) statistics of the models were: 0.0920, 0.1231, and 0.1633 g cm-3, respectively for PTF1 (using total sand as a predictor), PTF2 (using clay), and PTF3 (using organic carbon). Independent data was used to evaluate the accuracy of the models by residue analysis and the RSE. For the validation, the lowest RSE obtained was from the PTF1, so the best performance. Thus, to convert values of the chemical properties from a volumetric to gravimetric basis, the value must be divided by the predicted density. While, the conversion from gravimetric to volumetric basis requires that the value be multiplied by the predicted density. The PTFs using the properties total sand, clay, and organic carbon as predictor variables, allowed conversion of analytical data of soil samples expressed in the volumetric basis to gravimetric and vice versa, which can be used for dataset or database standardization. MenosChemical soil analysis data can be expressed by weight (i.e., gravimetric basis) or volume (i.e., volumetric basis) of the fine earth (sieved >=2 mm), resulting in different units, cmolc kg-1 and cmolc dm-3, respectively. The research problem is that the difference between methods to express the same soil properties hinders the comparison of results and database or dataset standardization. This paper aims to develop pedotransfer functions (PTF) to obtain the density of fine earth, which will then be used for conversion data expressed in volumetric to gravimetric basis, or vice versa, that will be applied to compare results and to standardize databases with different units. Soils samples, including profiles of the main soil orders in Brazil such as Latossolos (Ferralsols or Oxisols)and Argissolos (Acrisols or Ultisols), from the states of Rondônia, Roraima, and Mato Grosso do Sul (132 horizons) were selected and weighed (in triplicate) to obtain the fine earth mass contained in a volume of 10 cm3. The mass values were used to calculate the fine earth density. Spearman's correlation analysis was used between the density and nine soil properties (coarse sand, fine sand, total sand, silt, clay, clay dispersed in water, clay dispersion, particle density, and organic carbon). The total sand, clay, and organic carbon showed the best correlations, therefore they were selected to construct the pedotransfer functions. Nonlinear regression techniques were used to obtain the models (PTF... Mostrar Tudo |
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Palavras-Chave: |
Data standardization; Nonlinear regression; Padronização de dados; Regressão não linear. |
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Thesagro: |
Análise do Solo. |
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Thesaurus NAL: |
Soil analysis. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214225/1/Pedotransfer-functions-the-role-of-soil-chemical-properties-units-coversion-for-soil-classification-2020.pdf
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Marc: |
LEADER 03358naa a2200265 a 4500
001 2123471
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008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.36783/18069657rbcs20190$2DOI
100 1 $aCORDEIRO, F. R.
245 $aPedotransfer functions$bthe role of soil chemical properties units coversion for soil classification.$h[electronic resource]
260 $c2020
520 $aChemical soil analysis data can be expressed by weight (i.e., gravimetric basis) or volume (i.e., volumetric basis) of the fine earth (sieved >=2 mm), resulting in different units, cmolc kg-1 and cmolc dm-3, respectively. The research problem is that the difference between methods to express the same soil properties hinders the comparison of results and database or dataset standardization. This paper aims to develop pedotransfer functions (PTF) to obtain the density of fine earth, which will then be used for conversion data expressed in volumetric to gravimetric basis, or vice versa, that will be applied to compare results and to standardize databases with different units. Soils samples, including profiles of the main soil orders in Brazil such as Latossolos (Ferralsols or Oxisols)and Argissolos (Acrisols or Ultisols), from the states of Rondônia, Roraima, and Mato Grosso do Sul (132 horizons) were selected and weighed (in triplicate) to obtain the fine earth mass contained in a volume of 10 cm3. The mass values were used to calculate the fine earth density. Spearman's correlation analysis was used between the density and nine soil properties (coarse sand, fine sand, total sand, silt, clay, clay dispersed in water, clay dispersion, particle density, and organic carbon). The total sand, clay, and organic carbon showed the best correlations, therefore they were selected to construct the pedotransfer functions. Nonlinear regression techniques were used to obtain the models (PTFs) to predict density, which was used for unit conversion. As a result, the residual standard error (RSE) statistics of the models were: 0.0920, 0.1231, and 0.1633 g cm-3, respectively for PTF1 (using total sand as a predictor), PTF2 (using clay), and PTF3 (using organic carbon). Independent data was used to evaluate the accuracy of the models by residue analysis and the RSE. For the validation, the lowest RSE obtained was from the PTF1, so the best performance. Thus, to convert values of the chemical properties from a volumetric to gravimetric basis, the value must be divided by the predicted density. While, the conversion from gravimetric to volumetric basis requires that the value be multiplied by the predicted density. The PTFs using the properties total sand, clay, and organic carbon as predictor variables, allowed conversion of analytical data of soil samples expressed in the volumetric basis to gravimetric and vice versa, which can be used for dataset or database standardization.
650 $aSoil analysis
650 $aAnálise do Solo
653 $aData standardization
653 $aNonlinear regression
653 $aPadronização de dados
653 $aRegressão não linear
700 1 $aCESÁRIO, F. V.
700 1 $aFONTANA, A.
700 1 $aANJOS, L. H. C. dos
700 1 $aCANTO, A. C. B. do
700 1 $aTEIXEIRA, W. G.
773 $tRevista Brasileira de Ciência do Solo$gv. 44, e0190086, 2020.
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