Pedotransfer functions for predicting the hydraulic properties of Indian soils

Adhikary, Partha Pratim; Chakraborty, Debashis; Kalra, Naveen; Sachdev, C. B.; Patra, A. K.; Kumar, Sanjeev; Tomar, R.K.; Chandna, Parvesh; Raghav, Dhwani; Agrawal, Khushboo; Sehgal, Mukesh

doi:10.1071/sr07042

Cited by 44 publications

(32 citation statements)

References 35 publications

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“…At −33 kPa, the PTF described in Botula et al (), using sand content, was the most accurate equation to predict volumetric water content; it overestimated the water content by less than 1%. The PTFs described in Adhikary et al (), using sand and silt contents, and Martínez‐Zavala and Jordán‐López (), using sand and clay contents, underestimated the water content by about 1.5%. At −1500 kPa, the PTF described in Aina and Periaswamy () with clay content only, overestimated the water content by less than 1%.…”

Section: Discussionmentioning

confidence: 89%

Effects of carbon on moisture storage in soils of the Wisconsin Central Sands, USA

Yost

Hartemink

2019

European J Soil Science

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Quantifying soil water storage is important for plant growth and agricultural production. This is particularly important in sandy soils because they are widely cultivated and prone to drought. We investigated the effect of soil organic carbon (SOC), soil texture and gravel content on soil moisture characteristics in sandy soils. Soil moisture characteristics were analysed using standard soil physical characterization as well as visible–near infrared (vis–NIR) spectroscopy and pedotransfer functions (PTFs). Volumetric water content (−10, −33, −1500 kPa) and available water capacity (AWC) increased by 0.01 to 0.02 m3m−3 with a 2% increase in silt plus clay content. Available water capacity increased by about 0.05 m3m−3 with a 1% increase in SOC. A 5% increase in gravel in the subsoil decreased the volumetric water content of the soil by 0.01 m3m−3. Predictions of volumetric water contents and AWC by vis–NIR were the best when using a random forest model. Pedotransfer functions for AWC predictions performed best when sand, silt, clay, bulk density and SOC were included. Soil moisture storage ranged from 44 to 65 mm in the top 50 cm. At mean evapotranspiration (4.2 mm day−1), irrigation requirements were reduced by 6 days in the sandy soils that have larger SOC and silt contents in the topsoil. These soils are sandy throughout but have subtle differences in particle‐size distribution, SOC concentrations and gravel content. These differences affect soil moisture storage considerably. Soil management practices that increase the SOC contents in these sandy soils favour moisture storage and tend to reduce irrigation requirements. Highlights SOC, soil texture and gravel affect soil moisture characteristics in sandy soils. With vis–NIR and PTFs, soil water storage, water characteristics and AWC in soils with >80% sand can be quantified and predicted. Available water capacity increased by about 0.05 m3m−3 with a 1% increase in SOC. Subtle differences in particle‐size distribution affect soil moisture storage and reduce irrigation requirements.

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Section: Discussionmentioning

confidence: 89%

Effects of carbon on moisture storage in soils of the Wisconsin Central Sands, USA

Yost

Hartemink

2019

European J Soil Science

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“…In general, scatterplots in Figure 3 show large biases in all directions for SWR at -10 kPa predicted by selected PTFs of Pidgeon (1972), Lal (1979) and Adhikary et al (2008) as the first group, and of van den Berg et al (1997) and Minasny and Hartemink (2011) as the second group. However, the second group has better prediction results compared to the first group, in particular the prediction result of the PTF of Minasny and Hartemink (2011), which is confirmed by the statistical indices in Table 7.…”

Section: Point Ptfsmentioning

confidence: 99%

“…al. (1987) in Tomasella and Hodnett (2004)); Dij: (Dijkerman, 1988);vdB: (van den Berg et al, 1997);Oli: (Oliveira et al (2002) in Tomasella and Hodnett (2004)); Ad: (Adhikary et al, 2008); MH: (Minasny and Hartemink, 2011); Bot: (Botula, 2013). …”

Section: Continuous 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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“…The pedotransfer function for predicting the hydraulic properties of soils in India was determined by Adhikary et al (2008), who reported a decrease in infiltration rate with an increase in clay content. Mamedov et al (2001) also recorded the relationship between soil salinity, texture, infiltration, and runoff for soils in Israel.…”

Section: Soil Propertiesmentioning

confidence: 99%

Assessing Soil Quality in a Semiarid Tropical Watershed Using a Geographic Information System

Mandal

Ramachandran

Sharma

et al. 2011

Soil Science Society of America Journal

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Subsistence agriculture under rainfed conditions and declining or stagnant yields on irrigated farmland has raised concerns about resource management and long-term sustainability in the subtropical, semiarid region of India. Soil quality assessment has been recognized as an important step toward understanding the effects of land management practices within an agricultural watershed. This study addressed the spatial variability ofsoil properties and their quality at the watershed level using geostatistical methods. Soil samples from the 0-to 20-cm depth were collected from i 18 locations on a 100-by 100-m grid across an 88-ha watershed at Sakaliseripalli village in the Nalgonda District in Andhra Pradesh State, India. Geostatistical analysis showed that most ofthe soil parameters were moderately spatially dependent. An assessment framework, including a minimum data set, linear scoring technique, and additive indices, was used to evaluate the soil quality index (SQI). Principal component analysis identified cation exchange capacity, exchangeable Na percentage, DTPA-extractable Zn, available P, available water, and dehydrogenase activity as the most important indicators for evaluating soil quality. A kriged map of SQI was prepared for the watershed. The SQI was higher in irrigated systems (3.01) than under rainfed conditions (2.53), and it was 2.61 and 2.53 in fallow and permanent fallow fields, respectively. In this study, potential soil loss calculated using the Universal Soil Loss Equation and crop yield were identified as the quantifiable management goals; the results indicated that good soils having higher soil quality indices were also productive and less erosion prone.

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Pedotransfer functions for predicting the hydraulic properties of Indian soils

Cited by 44 publications

References 35 publications

Effects of carbon on moisture storage in soils of the Wisconsin Central Sands, USA

Effects of carbon on moisture storage in soils of the Wisconsin Central Sands, USA

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

Assessing Soil Quality in a Semiarid Tropical Watershed Using a Geographic Information System

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