Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1159704 https://doi.org/10.1590/1678-992X-2022-0255 |
Resumo: | Bulk density (BD) is a soil physical property used as a soil quality indicator and variations in this measurement influence soil water content and carbon stock estimates. This study aims to compile a database of samples of bulk density, textural fractions, and organic carbon values, as well as evaluate the accuracy of published pedotransfer functions (PTF) that predict bulk density, and propose a hierarchical PTF to predict the bulk density of Brazilian Soils. The performance of eleven PTFs and the newly proposed PTFs were evaluated and compared using the root mean square error (RMSE) and coefficient of determination (R2) based on a testing soil database collected from the literature. We noticed a slight improvement in accuracy when organic carbon and coarse and fine sand fractions were included as predictors alongside silt and clay. The best results with existing PTFs were obtained by PTF-A in Tomasella and Hodnett (1998) (RMSE = 0.20 g cm–3) and PTF-F in Benites et al. (2007) (RMSE = 0.17 g cm–3). Our proposed PTFs use textural fractions and organic carbon as predictors in a hierarchical form. The proposed PTF-4, which uses fine sand, coarse sand, clay, and organic carbon, presented the lowest value for RMSE (0.14 g cm–3) for BD prediction. |
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Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils.Transfer functionsData compilationTextural fractionsOrganic carbon contentFunções de pedotransferênciaDensidade aparenteCarbono orgânicoBanco de dadosFísica do SoloBulk density (BD) is a soil physical property used as a soil quality indicator and variations in this measurement influence soil water content and carbon stock estimates. This study aims to compile a database of samples of bulk density, textural fractions, and organic carbon values, as well as evaluate the accuracy of published pedotransfer functions (PTF) that predict bulk density, and propose a hierarchical PTF to predict the bulk density of Brazilian Soils. The performance of eleven PTFs and the newly proposed PTFs were evaluated and compared using the root mean square error (RMSE) and coefficient of determination (R2) based on a testing soil database collected from the literature. We noticed a slight improvement in accuracy when organic carbon and coarse and fine sand fractions were included as predictors alongside silt and clay. The best results with existing PTFs were obtained by PTF-A in Tomasella and Hodnett (1998) (RMSE = 0.20 g cm–3) and PTF-F in Benites et al. (2007) (RMSE = 0.17 g cm–3). Our proposed PTFs use textural fractions and organic carbon as predictors in a hierarchical form. The proposed PTF-4, which uses fine sand, coarse sand, clay, and organic carbon, presented the lowest value for RMSE (0.14 g cm–3) for BD prediction.ALINE MARI HUF DOS REIS, UNIVERSIDADE FEDERAL DE GOIÁS; WENCESLAU GERALDES TEIXEIRA, CNPS; ADEMIR FONTANA, CNPS; ALEXANDRE HUGO CEZAR BARROS, CNPS; DANIEL DE CASTRO VICTORIA, CNPTIA; GUSTAVO DE MATTOS VASQUES, CNPS; ALESSANDRO SAMUEL-ROSA, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; MARTA VASCONCELOS OTTONI, SERVIÇO GEOLÓGICO DO BRASIL; JOSE EDUARDO B DE ALMEIDA MONTEIRO, CNPTIA.REIS, A. M. H. dosTEIXEIRA, W. G.FONTANA, A.BARROS, A. H. C.VICTORIA, D. de C.VASQUES, G. M.SAMUEL-ROSA, A.OTTONI, M. V.MONTEIRO, J. E. B. de A.2023-12-14T13:32:48Z2023-12-14T13:32:48Z2023-12-142024info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleScientia Agricola, v. 81, e20220255, 2024.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1159704https://doi.org/10.1590/1678-992X-2022-0255enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-12-14T13:32:48Zoai:www.alice.cnptia.embrapa.br:doc/1159704Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-12-14T13:32:48falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-12-14T13:32:48Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils. |
title |
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils. |
spellingShingle |
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils. REIS, A. M. H. dos Transfer functions Data compilation Textural fractions Organic carbon content Funções de pedotransferência Densidade aparente Carbono orgânico Banco de dados Física do Solo |
title_short |
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils. |
title_full |
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils. |
title_fullStr |
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils. |
title_full_unstemmed |
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils. |
title_sort |
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils. |
author |
REIS, A. M. H. dos |
author_facet |
REIS, A. M. H. dos TEIXEIRA, W. G. FONTANA, A. BARROS, A. H. C. VICTORIA, D. de C. VASQUES, G. M. SAMUEL-ROSA, A. OTTONI, M. V. MONTEIRO, J. E. B. de A. |
author_role |
author |
author2 |
TEIXEIRA, W. G. FONTANA, A. BARROS, A. H. C. VICTORIA, D. de C. VASQUES, G. M. SAMUEL-ROSA, A. OTTONI, M. V. MONTEIRO, J. E. B. de A. |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
ALINE MARI HUF DOS REIS, UNIVERSIDADE FEDERAL DE GOIÁS; WENCESLAU GERALDES TEIXEIRA, CNPS; ADEMIR FONTANA, CNPS; ALEXANDRE HUGO CEZAR BARROS, CNPS; DANIEL DE CASTRO VICTORIA, CNPTIA; GUSTAVO DE MATTOS VASQUES, CNPS; ALESSANDRO SAMUEL-ROSA, UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ; MARTA VASCONCELOS OTTONI, SERVIÇO GEOLÓGICO DO BRASIL; JOSE EDUARDO B DE ALMEIDA MONTEIRO, CNPTIA. |
dc.contributor.author.fl_str_mv |
REIS, A. M. H. dos TEIXEIRA, W. G. FONTANA, A. BARROS, A. H. C. VICTORIA, D. de C. VASQUES, G. M. SAMUEL-ROSA, A. OTTONI, M. V. MONTEIRO, J. E. B. de A. |
dc.subject.por.fl_str_mv |
Transfer functions Data compilation Textural fractions Organic carbon content Funções de pedotransferência Densidade aparente Carbono orgânico Banco de dados Física do Solo |
topic |
Transfer functions Data compilation Textural fractions Organic carbon content Funções de pedotransferência Densidade aparente Carbono orgânico Banco de dados Física do Solo |
description |
Bulk density (BD) is a soil physical property used as a soil quality indicator and variations in this measurement influence soil water content and carbon stock estimates. This study aims to compile a database of samples of bulk density, textural fractions, and organic carbon values, as well as evaluate the accuracy of published pedotransfer functions (PTF) that predict bulk density, and propose a hierarchical PTF to predict the bulk density of Brazilian Soils. The performance of eleven PTFs and the newly proposed PTFs were evaluated and compared using the root mean square error (RMSE) and coefficient of determination (R2) based on a testing soil database collected from the literature. We noticed a slight improvement in accuracy when organic carbon and coarse and fine sand fractions were included as predictors alongside silt and clay. The best results with existing PTFs were obtained by PTF-A in Tomasella and Hodnett (1998) (RMSE = 0.20 g cm–3) and PTF-F in Benites et al. (2007) (RMSE = 0.17 g cm–3). Our proposed PTFs use textural fractions and organic carbon as predictors in a hierarchical form. The proposed PTF-4, which uses fine sand, coarse sand, clay, and organic carbon, presented the lowest value for RMSE (0.14 g cm–3) for BD prediction. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-14T13:32:48Z 2023-12-14T13:32:48Z 2023-12-14 2024 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Scientia Agricola, v. 81, e20220255, 2024. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1159704 https://doi.org/10.1590/1678-992X-2022-0255 |
identifier_str_mv |
Scientia Agricola, v. 81, e20220255, 2024. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1159704 https://doi.org/10.1590/1678-992X-2022-0255 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503553372389376 |