Evaluation of pedotransfer functions for predicting water retention of soils in Lower Congo (D.R. Congo)

Botula, Yves-Dady; Cornelis, Wim; Baert, Geert; Ranst, Éric Van

doi:10.1016/j.agwat.2012.04.006

Cited by 92 publications

(78 citation statements)

References 40 publications

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“…The clay fraction favors the occurrence of micropores, which generate capillary forces. High clay content can also increase the specific surface area of the soil matrix, and enhance water adsorption (Botula et al, 2012). Haghverdi et al (2015) reported that a reduction in AW was consistent with an increase in sand content with increasing soil depth.…”

Section: Estimation Of Available Water Contentmentioning

confidence: 93%

“…The calculated AW values were compared with those derived from the experimental SWCCs. When no measurement has been done, the soil water contents at field capacity and wilting point can be conveniently derived from the van Genuchten equation of SWCC (van Genuchten, 1980) after having determined the parameters using the Rosetta program (Botula et al, 2012). To further validate the predictive accuracy of the three models, the predicted AW values were also compared with those from the Rosetta program using sand/silt/clay contents and bulk density as input variables.…”

Section: Evaluation Of Modelsmentioning

confidence: 99%

“…The utility of PTFs may be limited to the environmental conditions the original data were collected and can be compromised by the mismatch in measurement times . The application of regional PTFs has to be adapted to the particular situation under consideration (Wösten et al, 2001;Gijsman et al, 2003;Botula et al, 2012;Antinoro et al, 2014).…”

Section: à3mentioning

confidence: 99%

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Predicting available water of soil from particle-size distribution and bulk density in an oasis–desert transect in northwestern China

Gao

Shao

et al. 2016

Journal of Hydrology

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Keywords:Soil water characteristic curve Soil available water Pedotransfer functions Oasis-desert transect s u m m a r y A detailed understanding of soil hydraulic properties, particularly the available water content of soil, (AW, cm 3 cm À3), is required for optimal water management. Direct measurement of soil hydraulic properties is impractical for large scale application, but routinely available soil particle-size distribution (PSD) and bulk density can be used as proxies to develop various prediction functions. In this study, we compared the performance of the Arya and Paris (AP) model, Mohammadi and Vanclooster (MV) model, Arya and Heitman (AH) model, and Rosetta program in predicting the soil water characteristic curve (SWCC) at 34 points with experimental SWCC data in an oasis-desert transect (20 Â 5 km) in the middle reaches of the Heihe River basin, northwestern China. The idea of the three models emerges from the similarity of the shapes of the PSD and SWCC. The AP model, MV model, and Rosetta program performed better in predicting the SWCC than the AH model. The AW determined from the SWCCs predicted by the MV model agreed better with the experimental values than those derived from the AP model and Rosetta program. The fine-textured soils were characterized by higher AW values, while the sandy soils had lower AW values. The MV model has the advantages of having robust physical basis, being independent of databaserelated parameters, and involving subclasses of texture data. These features make it promising in predicting soil water retention at regional scales, serving for the application of hydrological models and the optimization of soil water management.

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Section: Estimation Of Available Water Contentmentioning

confidence: 93%

Section: Evaluation Of Modelsmentioning

confidence: 99%

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Predicting available water of soil from particle-size distribution and bulk density in an oasis–desert transect in northwestern China

Gao

Shao

et al. 2016

Journal of Hydrology

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“…Tomasella and Hodnett (2004), Botula et al (2012) and Nguyen et al (2015) indicate that direct application of the selected point PTFs' in UBS is less successful. Alternative approaches for predicting SWR in UBS should be used, such as direct application of continuous PTFs, developing new PTFs with different methods (Minasny and Hartemink, 2011) or recalibrating existing point PTFs.…”

Section: Point Ptfsmentioning

confidence: 99%

Application and recalibration of soil water retention pedotransfer functions in a tropical upstream catchment: case study in Bengawan Solo, Indonesia

Rustanto

Booij

Wösten

2017

Journal of Hydrology and Hydromechanics

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Hydrological models often require input data on soil-water retention (SWR), but obtaining such data is laborious and costly so that SWR in many places remains unknown. To fill the gap, a prediction of SWR using a pedotransfer function (PTF) is one of the alternatives. This study aims to select the most suitable existing PTFs in order to predict SWR for the case of the upper Bengawan Solo (UBS) catchment on Java, Indonesia. Ten point PTFs and two continuous PTFs, which were developed from tropical soils elsewhere, have been applied directly and recalibrated based on a small soil sample set in UBS. Scatter plots and statistical indices of mean error (ME), root mean square error (RMSE), model efficiency (EF) and Pearson's correlation (r) showed that recalibration using the Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm can help to improve the prediction of PTFs significantly compared to direct application of PTFs. This study is the first showing that improving SWR-PTFs by recalibration for a new catchment based on around 50 soil samples provides an effective parsimonious alternative to developing a SWR-PTF from specifically collected soil datasets, which typically needs around 100 soil samples or more.

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“…Long-term impacts on the crop are often related to disease infection and retarded root development that limits access to available subsoil moisture later in the season (Naeve, 2002, Boru et al, 2003. Researchers noted that flooding during critical reproductive stages affect yield components including pod number and seed size (Casinga et al, 2015a(Casinga et al, , 2016a (Baert, 1995;Beernaert, 1999;Botula et al, 2012) while its texture is clay-silty (Casinga et al, 2015a(Casinga et al, , 2016b(Casinga et al, , 2016c. Subsistence agriculture remains the main activity in our experimentation area in spite of land degradation correlated to the exponential population increase.…”

Section: Introductionmentioning

confidence: 99%

Effect of Soil Moisture Regimes on Seed Iron and Zinc Concentration of Biofortified Bean Genotypes against Malnutrition in Sud-Kivu Highlands

Clérisse¹,

Angélique²,

Marie-Angélique³

et al. 2017

JAS

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This study investigated the influence of three soil moisture irrigation regimes on concentration of seed iron and zinc content of four biofortified bean varieties promoted for eradication of malnutrition in Sud-Kivu highlands. A field experiment was conducted in the Hogola marsh highlands during two cultural seasons B2013 and B2014. The experiment design was a RCBD with a split plot arrangement where the main plots were 110 m 2 and split plots 20 m 2 . A strategic application of homogenisation of the experimental site's soil fertility by chemical fertilizers of the type: CaCO 3 , KCl and DAP was conducted out. Four biofortified varieties (CODMLB001, RWR2245, HM21-7 and RWK10) constituted main factor, while water regimes respectively [bottom of the slope: R1 = 48% soil moisture, at the middle of the slope R2 = 37% soil moisture and at the top of the slope: R3 = 29% soil moisture according to the gradient of humidity] represented secondary factor and seasonality, tertiary factor. The study showed that the concentrations of iron and zinc were highly correlated with soil moisture regimes. The variety HM21-7 demonstrated better adaptability because it showed a low rate of reduction of iron and zinc concentration under the three soil moisture regimes and was therefore best suited to fight malnutrition in the Sud-Kivu province.

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Evaluation of pedotransfer functions for predicting water retention of soils in Lower Congo (D.R. Congo)

Cited by 92 publications

References 40 publications

Predicting available water of soil from particle-size distribution and bulk density in an oasis–desert transect in northwestern China

Predicting available water of soil from particle-size distribution and bulk density in an oasis–desert transect in northwestern China

Application and recalibration of soil water retention pedotransfer functions in a tropical upstream catchment: case study in Bengawan Solo, Indonesia

Effect of Soil Moisture Regimes on Seed Iron and Zinc Concentration of Biofortified Bean Genotypes against Malnutrition in Sud-Kivu Highlands

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