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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Universidade de São Paulo
2023-12-01
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Series: | Scientia Agricola |
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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. |
first_indexed | 2024-03-09T00:16:25Z |
format | Article |
id | doaj.art-ab1bf62d859b44a99e2d90ab20d314b1 |
institution | Directory Open Access Journal |
issn | 1678-992X |
language | English |
last_indexed | 2024-03-09T00:16:25Z |
publishDate | 2023-12-01 |
publisher | Universidade de São Paulo |
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series | Scientia Agricola |
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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