Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region

Knowledge of the soil water retention curve (SWRC) is essential for understanding and modeling hydraulic processes in the soil. However, direct determination of the SWRC is time consuming and costly. In addition, it requires a large number of samples, due to the high spatial and temporal variability...

Full description

Bibliographic Details
Main Authors: João Carlos Medeiros, Miguel Cooper, Jaqueline Dalla Rosa, Michel Grimaldi, Yves Coquet
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência do Solo 2014-06-01
Series:Revista Brasileira de Ciência do Solo
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000300005&tlng=en
_version_ 1818749734320340992
author João Carlos Medeiros
Miguel Cooper
Jaqueline Dalla Rosa
Michel Grimaldi
Yves Coquet
author_facet João Carlos Medeiros
Miguel Cooper
Jaqueline Dalla Rosa
Michel Grimaldi
Yves Coquet
author_sort João Carlos Medeiros
collection DOAJ
description Knowledge of the soil water retention curve (SWRC) is essential for understanding and modeling hydraulic processes in the soil. However, direct determination of the SWRC is time consuming and costly. In addition, it requires a large number of samples, due to the high spatial and temporal variability of soil hydraulic properties. An alternative is the use of models, called pedotransfer functions (PTFs), which estimate the SWRC from easy-to-measure properties. The aim of this paper was to test the accuracy of 16 point or parametric PTFs reported in the literature on different soils from the south and southeast of the State of Pará, Brazil. The PTFs tested were proposed by Pidgeon (1972), Lal (1979), Aina & Periaswamy (1985), Arruda et al. (1987), Dijkerman (1988), Vereecken et al. (1989), Batjes (1996), van den Berg et al. (1997), Tomasella et al. (2000), Hodnett & Tomasella (2002), Oliveira et al. (2002), and Barros (2010). We used a database that includes soil texture (sand, silt, and clay), bulk density, soil organic carbon, soil pH, cation exchange capacity, and the SWRC. Most of the PTFs tested did not show good performance in estimating the SWRC. The parametric PTFs, however, performed better than the point PTFs in assessing the SWRC in the tested region. Among the parametric PTFs, those proposed by Tomasella et al. (2000) achieved the best accuracy in estimating the empirical parameters of the van Genuchten (1980) model, especially when tested in the top soil layer.
first_indexed 2024-12-18T04:08:29Z
format Article
id doaj.art-74ebf8a1f20f48dca9ccc2a8ef72b036
institution Directory Open Access Journal
issn 1806-9657
language English
last_indexed 2024-12-18T04:08:29Z
publishDate 2014-06-01
publisher Sociedade Brasileira de Ciência do Solo
record_format Article
series Revista Brasileira de Ciência do Solo
spelling doaj.art-74ebf8a1f20f48dca9ccc2a8ef72b0362022-12-21T21:21:31ZengSociedade Brasileira de Ciência do SoloRevista Brasileira de Ciência do Solo1806-96572014-06-01383730743Assessment of pedotransfer functions for estimating soil water retention curves for the amazon regionJoão Carlos Medeiros0Miguel Cooper1Jaqueline Dalla Rosa2Michel Grimaldi3Yves Coquet4Federal University of PiauíUniversity of São PauloFederal University of PiauíInstitut de Recherche pour le DéveloppementINRA/AgroParisTech EGCKnowledge of the soil water retention curve (SWRC) is essential for understanding and modeling hydraulic processes in the soil. However, direct determination of the SWRC is time consuming and costly. In addition, it requires a large number of samples, due to the high spatial and temporal variability of soil hydraulic properties. An alternative is the use of models, called pedotransfer functions (PTFs), which estimate the SWRC from easy-to-measure properties. The aim of this paper was to test the accuracy of 16 point or parametric PTFs reported in the literature on different soils from the south and southeast of the State of Pará, Brazil. The PTFs tested were proposed by Pidgeon (1972), Lal (1979), Aina & Periaswamy (1985), Arruda et al. (1987), Dijkerman (1988), Vereecken et al. (1989), Batjes (1996), van den Berg et al. (1997), Tomasella et al. (2000), Hodnett & Tomasella (2002), Oliveira et al. (2002), and Barros (2010). We used a database that includes soil texture (sand, silt, and clay), bulk density, soil organic carbon, soil pH, cation exchange capacity, and the SWRC. Most of the PTFs tested did not show good performance in estimating the SWRC. The parametric PTFs, however, performed better than the point PTFs in assessing the SWRC in the tested region. Among the parametric PTFs, those proposed by Tomasella et al. (2000) achieved the best accuracy in estimating the empirical parameters of the van Genuchten (1980) model, especially when tested in the top soil layer.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000300005&tlng=enparametric PTFspoint PTFssoil physicssoil water
spellingShingle João Carlos Medeiros
Miguel Cooper
Jaqueline Dalla Rosa
Michel Grimaldi
Yves Coquet
Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region
Revista Brasileira de Ciência do Solo
parametric PTFs
point PTFs
soil physics
soil water
title Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region
title_full Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region
title_fullStr Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region
title_full_unstemmed Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region
title_short Assessment of pedotransfer functions for estimating soil water retention curves for the amazon region
title_sort assessment of pedotransfer functions for estimating soil water retention curves for the amazon region
topic parametric PTFs
point PTFs
soil physics
soil water
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000300005&tlng=en
work_keys_str_mv AT joaocarlosmedeiros assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion
AT miguelcooper assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion
AT jaquelinedallarosa assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion
AT michelgrimaldi assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion
AT yvescoquet assessmentofpedotransferfunctionsforestimatingsoilwaterretentioncurvesfortheamazonregion