Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils

ABSTRACT 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...

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Main Authors: Aline Mari Huf dos Reis, Wenceslau Geraldes Teixeira, Ademir Fontana, Alexandre Hugo Cezar Barros, Daniel de Castro Victoria, Gustavo Mattos Vasques, Alessandro Samuel-Rosa, Marta Vasconcelos Ottoni, José Eduardo Boffino de Almeida Monteiro
Format: Article
Language:English
Published: Universidade de São Paulo 2023-12-01
Series:Scientia Agricola
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162024000101402&lng=en&tlng=en
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author Aline Mari Huf dos Reis
Wenceslau Geraldes Teixeira
Ademir Fontana
Alexandre Hugo Cezar Barros
Daniel de Castro Victoria
Gustavo Mattos Vasques
Alessandro Samuel-Rosa
Marta Vasconcelos Ottoni
José Eduardo Boffino de Almeida Monteiro
author_facet Aline Mari Huf dos Reis
Wenceslau Geraldes Teixeira
Ademir Fontana
Alexandre Hugo Cezar Barros
Daniel de Castro Victoria
Gustavo Mattos Vasques
Alessandro Samuel-Rosa
Marta Vasconcelos Ottoni
José Eduardo Boffino de Almeida Monteiro
author_sort Aline Mari Huf dos Reis
collection DOAJ
description ABSTRACT 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 doaj.art-ab1bf62d859b44a99e2d90ab20d314b12023-12-12T07:54:09ZengUniversidade de São PauloScientia Agricola1678-992X2023-12-018110.1590/1678-992x-2022-0255Hierarchical pedotransfer functions for predicting bulk density in Brazilian soilsAline Mari Huf dos Reishttps://orcid.org/0000-0003-0193-2638Wenceslau Geraldes Teixeirahttps://orcid.org/0000-0002-2010-6078Ademir Fontanahttps://orcid.org/0000-0001-7624-8676Alexandre Hugo Cezar Barroshttps://orcid.org/0000-0002-7974-4402Daniel de Castro Victoriahttps://orcid.org/0000-0002-2281-5644Gustavo Mattos Vasqueshttps://orcid.org/0000-0001-9463-1898Alessandro Samuel-Rosahttps://orcid.org/0000-0003-0877-1320Marta Vasconcelos Ottonihttps://orcid.org/0000-0002-2259-5848José Eduardo Boffino de Almeida Monteirohttps://orcid.org/0000-0002-1290-6729ABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162024000101402&lng=en&tlng=entransfer functionsdata compilationtextural fractionsorganic carbon content
spellingShingle Aline Mari Huf dos Reis
Wenceslau Geraldes Teixeira
Ademir Fontana
Alexandre Hugo Cezar Barros
Daniel de Castro Victoria
Gustavo Mattos Vasques
Alessandro Samuel-Rosa
Marta Vasconcelos Ottoni
José Eduardo Boffino de Almeida Monteiro
Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils
Scientia Agricola
transfer functions
data compilation
textural fractions
organic carbon content
title 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_short Hierarchical pedotransfer functions for predicting bulk density in Brazilian soils
title_sort hierarchical pedotransfer functions for predicting bulk density in brazilian soils
topic transfer functions
data compilation
textural fractions
organic carbon content
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162024000101402&lng=en&tlng=en
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