Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils.

Detalhes bibliográficos
Autor(a) principal: REIS, A. M. H. dos
Data de Publicação: 2023
Outros Autores: 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.
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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spelling 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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