Ensemble pedotransfer functions to derive hydraulic properties for New Zealand soils
Rogerio Cichota A D , Iris Vogeler A , Val O. Snow B and Trevor H. Webb C
+ Author Affiliations
- Author Affiliations
A AgResearch – Grasslands Research Centre, Private Bag 11008, Palmerston North 4442, New Zealand.
B AgResearch – Lincoln Research Centre, Private Bag 4749, Christchurch 8140, New Zealand.
C Landcare Research, PO Box 40, Lincoln 7640, New Zealand.
D Corresponding author. Email: rogerio.cichota@agresearch.co.nz
Soil Research 51(2) 94-111 https://doi.org/10.1071/SR12338
Submitted: 19 November 2012 Accepted: 5 April 2013 Published: 15 May 2013
Abstract
Modelling water and solute transport through soil requires the characterisation of the soil hydraulic functions; however, determining these functions based on measurements is time-consuming and costly. Pedotransfer functions (PTFs), which make use of easily measurable soil properties to predict the hydraulic functions, have been proposed as an alternative to measurements. The better known and more widely used PTFs were developed in the USA or Europe, where large datasets exist. No specific PTFs have been published for New Zealand soils. To address this gap, we evaluated a range of published PTFs against an available dataset comprising a range of different soils from New Zealand and selected the best PTFs to construct an ensemble PTF (ePTF). Assessment (and adjustment when required) of published PTFs was done by comparing measurements and estimates of soil water content and the hydraulic conductivity at selected matric suction values. For each point, the best two or three PTFs were chosen to compose the ePTF, with correcting constants if needed. The outputs of the ePTF are the hydraulic properties at selected matric suctions, akin to obtaining measurements, thus allowing the fit of different equations as well as combining any available measurements.
Testing of the ePTF showed promising performance, with reasonably accurate estimates of the water retention of an independent dataset. Root mean square error values averaged 0.06 m3 m–3 for various New Zealand soils, which is within the accuracy level of published PTF studies. The largest errors were found for soils with high clay content, for which the ePTF should be used with care. The performance of the ePTF for estimating soil hydraulic conductivity was not as reliable as for water content, exhibiting large scatter. Predictions of saturated hydraulic conductivity were of the same magnitude as the measurements, whereas the unsaturated values were generally under-predicted. The conductivity data available for this study were limited and highly variable. The estimates for hydraulic conductivity should therefore be used with much care, and future research should address measurements and analysis to improve the predictions. The ePTF was also used to parameterise the SWIM soil module for use in Agricultural Production Systems Simulator (APSIM) simulations. Comparisons of drainage predicted by APSIM against results from lysimeter experiments suggest that the use of the derived ePTF is suited for the estimation of soil parameters for use in modelling. The ePTF is not envisaged as a substitute for measurements but is a useful tool to complement datasets with limited amounts of measured data.
Additional keywords: APSIM, drainage, hydraulic conductivity, simulation modelling, soil water content, volcanic soils.
References
Børgesen CD, Schaap MG (2005) Point and parameter pedotransfer functions for water retention predictions for Danish soils. Geoderma 127, 154–167.| Point and parameter pedotransfer functions for water retention predictions for Danish soils.Crossref | GoogleScholarGoogle Scholar |
Børgesen CD, Iversen BV, Jacobsen OH, Schaap MG (2008) Pedotransfer functions estimating soil hydraulic properties using different soil parameters. Hydrological Processes 22, 1630–1639.
| Pedotransfer functions estimating soil hydraulic properties using different soil parameters.Crossref | GoogleScholarGoogle Scholar |
Brakensiek DL, Rawls WJ, Stephenson GR (1984) ‘Modifying SCS hydrologic soil groups and curve numbers for rangeland soils.’ ASAE Paper No. PNR-84-203. (American Society of Agricultural Engineers: St. Joseph, MI)
Brooks RH, Corey AT (1964) ‘Hydraulic properties of porous media.’ (Colorado State University: Fort Collins, CO)
Campbell GS (1974) A simple method for determining unsaturated conductivity from moisture retention data. Soil Science 117, 311–314.
| A simple method for determining unsaturated conductivity from moisture retention data.Crossref | GoogleScholarGoogle Scholar |
Cichota R, Vogeler I, Snow VO (2010) Describing the fate of high dose nitrogen in pastoral soils – Modelling N leaching under high N loads (urine patches). In ‘19th World Congress of Soil Science’. 1–6 August 2010, Brisbane, Australia. pp. 34–37. (IUSS: Brisbane)
Cichota R, Snow VO, Vogeler I (2013) Modelling nitrogen leaching from overlapping urine patches. Environmental Modelling and Software 41, 15–26.
Close ME, Pang L, Magesan GN, Lee R, Green SR (2003) Field study of pesticide leaching in an allophanic soil in New Zealand. 2: Comparison of simulations from four leaching models. Australian Journal of Soil Research 41, 825–846.
| Field study of pesticide leaching in an allophanic soil in New Zealand. 2: Comparison of simulations from four leaching models.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXnt1Crt70%3D&md5=a93c17ae565cc0c71302ca1078ca012cCAS |
Clothier BE, Smettem KRJ (1990) Combining laboratory and field measurements to define the hydraulic properties of soil. Soil Science Society of America Journal 54, 299–304.
| Combining laboratory and field measurements to define the hydraulic properties of soil.Crossref | GoogleScholarGoogle Scholar |
Cornelis WM, Ronsyn J, van Meirvenne M, Hartmann R (2001) Evaluation of pedotransfer functions for predicting the soil moisture retention curve. Soil Science Society of America Journal 65, 638–648.
| Evaluation of pedotransfer functions for predicting the soil moisture retention curve.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXntFWkt70%3D&md5=08496384f7d621d91a299963a67921c1CAS |
Cosby BJ, Hornberger GM, Glapp RB, Ginn TR (1984) A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resources Research 20, 682–690.
| A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils.Crossref | GoogleScholarGoogle Scholar |
Dann RL, Close ME, Lee R, Pang L (2006) Impact of data quality and model complexity on prediction of pesticide leaching. Journal of Environmental Quality 35, 628–640.
| Impact of data quality and model complexity on prediction of pesticide leaching.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XisFKru78%3D&md5=c044aca07c2a6c8e51fa49befcae6fdfCAS | 16510708PubMed |
Di HJ, Cameron KC, Shen JP, He JZ, Winefield CS (2009) A lysimeter study of nitrate leaching from grazed grassland as affected by a nitrification inhibitor, dicyandiamide, and relationships with ammonia oxidizing bacteria and archaea. Soil Use and Management 25, 454–461.
| A lysimeter study of nitrate leaching from grazed grassland as affected by a nitrification inhibitor, dicyandiamide, and relationships with ammonia oxidizing bacteria and archaea.Crossref | GoogleScholarGoogle Scholar |
Gardner WR (1958) Some steady-state solutions of the unsaturated moisture flow equation with application to evaporation from a water table. Soil Science 85, 228–232.
| Some steady-state solutions of the unsaturated moisture flow equation with application to evaporation from a water table.Crossref | GoogleScholarGoogle Scholar |
Givi J, Prasher SO, Patel RM (2004) Evaluation of pedotransfer functions in predicting the soil water contents at field capacity and wilting point. Agricultural Water Management 70, 83–96.
| Evaluation of pedotransfer functions in predicting the soil water contents at field capacity and wilting point.Crossref | GoogleScholarGoogle Scholar |
Gray JM, Humphreys GS, Deckers JA (2009) Relationships in soil distribution as revealed by a global soil database. Geoderma 150, 309–323.
| Relationships in soil distribution as revealed by a global soil database.Crossref | GoogleScholarGoogle Scholar |
Huth NI, Keating BA, Bristow KL, Verburg K, Ross PJ (1996) SWIMV2 in APSIM: An integrated plant, soil water, and solute modelling framework. In ‘8th Australian Agronomy Conference’. Toowoomba, Australia. (Ed. M Asghar) p. 667. (Australian Society of Agronomy/The Regional Institute Ltd: Gosford, NSW)
Huth NI, Bristow KL, Verburg K (2012) SWIM3: Model use, calibration, and validation. Transactions of the American Society of Agricultural Engineers 55, in press.
Hutson JL, Cass A (1987) A retentivity function for use in soil-water simulation models. Journal of Soil Science 38, 105–113.
| A retentivity function for use in soil-water simulation models.Crossref | GoogleScholarGoogle Scholar |
Jones JW, Hoogenboom G, Porter CH, Boote KJ, Batchelor WD, Hunt LA, Wilkens PW, Singh U, Gijsman AJ, Ritchie JT (2003) The DSSAT cropping system model. European Journal of Agronomy 18, 235–265.
| The DSSAT cropping system model.Crossref | GoogleScholarGoogle Scholar |
Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18, 267–288.
| An overview of APSIM, a model designed for farming systems simulation.Crossref | GoogleScholarGoogle Scholar |
Li FY, Snow VO, Holzworth D, Johnson IR (2010) Integration of a pasture model into APSIM. In ‘15th Australian Agronomy Conference’. Lincoln, New Zealand. (Eds H Dove, RA Culvenor) p. 6. (Australian Society of Agronomy/The Regional Institute Ltd: Gosford, NSW)
McBratney AB, Minasny B, Cattle SR, Vervoort RW (2002) From pedotransfer functions to soil inference systems. Geoderma 109, 41–73.
| From pedotransfer functions to soil inference systems.Crossref | GoogleScholarGoogle Scholar |
Minasny B, McBratney AB, Bristow KL (1999) Comparison of different approaches to the development of pedotransfer functions for water-retention curves. Geoderma 93, 225–253.
| Comparison of different approaches to the development of pedotransfer functions for water-retention curves.Crossref | GoogleScholarGoogle Scholar |
Nemes A, Schaap MG, Wösten JHM (2003) Functional evaluation of pedotransfer functions derived from different scales of data collection. Soil Science Society of America Journal 67, 1093–1102.
| Functional evaluation of pedotransfer functions derived from different scales of data collection.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXlslCqtLo%3D&md5=e4e5899b8e5258d04c53c8da6de37051CAS |
Paydar Z, Ringrose-Voase AJ (2003) Prediction of hydraulic conductivity for some Australian soils. Australian Journal of Soil Research 41, 1077–1088.
| Prediction of hydraulic conductivity for some Australian soils.Crossref | GoogleScholarGoogle Scholar |
Poulsen TG, Moldrup P, Iversen BV, Jacobsen OH (2002) Three-region Campbell model for unsaturated hydraulic conductivity in undisturbed soils. Soil Science Society of America Journal 66, 744–752.
| Three-region Campbell model for unsaturated hydraulic conductivity in undisturbed soils.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD38XlslOrtb0%3D&md5=2386e61f60ea58fe2e06e392e71bd00fCAS |
Probert ME, Dimes JP, Keating BA, Dalal RC, Strong WM (1998) APSIM’s water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. Agricultural Systems 56, 1–28.
| APSIM’s water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems.Crossref | GoogleScholarGoogle Scholar |
Rawls WJ (2004) Pedotransfer functions for the United States. In ‘Developments in soil science’. Vol. 30. (Eds Y Pachepsky, WJ Rawls) pp. 437–447. (Elsevier: Amsterdam)
Rawls WJ, Brakensiek DL (1989) Estimation of soil water retention and hydraulic properties. In ‘Unsaturated flow in hydrologic modeling: theory and practice’. (Ed. HJ Morel-Seytoux) pp. 275–300. (Kluwer Academic Publishing: Dordrecht)
Rawls WJ, Pachepsky YA, Ritchie JC, Sobecki TM, Bloodworth H (2003) Effect of soil organic carbon on soil water retention. Geoderma 116, 61–76.
| Effect of soil organic carbon on soil water retention.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3sXltF2isLc%3D&md5=be7e9c862ca80f8364be27142e23aab2CAS |
Ross PJ, Smettem KRJ (1993) Describing soil hydraulic properties with sums of simple functions. Soil Science Society of America Journal 57, 26–29.
| Describing soil hydraulic properties with sums of simple functions.Crossref | GoogleScholarGoogle Scholar |
Saxton KE, Rawls WJ (2006) Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Science Society of America Journal 70, 1569–1578.
| Soil water characteristic estimates by texture and organic matter for hydrologic solutions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xpsl2lsL4%3D&md5=441cb22bac938f9cca1dc3194bf2d15bCAS |
Shepherd M, Welten B, Ledgard S (2009) Effectiveness of dicyandiamide in reducing nitrogen leaching losses from two contrasting soil types under two rainfall regimes—a lysimeter study. In ‘Nutrient management in a rapidly changing world’. Occasional Report No. 22. (Eds LD Currie, CL Lindsay) pp. 177–184. (Fertilizer and Lime Research Centre, Massey University: Palmerston North, NZ)
Smettem KRJ, Ross PJ (1992) Measurement and prediction of water movement in a field soil: the matrix-macropore dichotomy. Hydrological Processes 6, 1–10.
| Measurement and prediction of water movement in a field soil: the matrix-macropore dichotomy.Crossref | GoogleScholarGoogle Scholar |
Smettem KRJ, Oliver YM, Heng LK, Bristow KL, Ford EJ (1999) Obtaining soil hydraulic properties for water balance and leaching models from survey data. 1. Water retention. Australian Journal of Agricultural Research 50, 283–289.
| Obtaining soil hydraulic properties for water balance and leaching models from survey data. 1. Water retention.Crossref | GoogleScholarGoogle Scholar |
Snow VO, Huth N (2004) The APSIM-Micromet module. HortResearch Internal Report No. 2004/12848, HortResearch, Palmerston North, New Zealand.
Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Philosophical Transaction of the Royal Society London Series A 365, 2053–2075.
| The use of the multi-model ensemble in probabilistic climate projections.Crossref | GoogleScholarGoogle Scholar |
Tietje O, Tapkenhinrichs M (1993) Evaluation of pedo-transfer functions. Soil Science Society of America Journal 57, 1088–1095.
| Evaluation of pedo-transfer functions.Crossref | GoogleScholarGoogle Scholar |
Vachaud G, Chen T (2002) Sensitivity of computed values of water balance and nitrate leaching to within soil class variability of transport parameters. Journal of Hydrology 264, 87–100.
| Sensitivity of computed values of water balance and nitrate leaching to within soil class variability of transport parameters.Crossref | GoogleScholarGoogle Scholar |
van Genuchten MT (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal 44, 892–898.
| A closed-form equation for predicting the hydraulic conductivity of unsaturated soils.Crossref | GoogleScholarGoogle Scholar |
Verburg K (1995) Methodology in soil water and solute balance modelling: an evaluation of APSIM-SoilWat and SWIMv2 models. Report of APSRU/CSIRO Division of Soils Workshop, Brisbane, Qld, 16–18 May 1995. CSIRO Division of Soils, Divisional Report No. 131.
Verburg K, Ross PJ, Bristow KL (1996) SWIMv2.1 user manual. CSIRO Division of Soils, Divisional Report No. 130.
Vereecken H, Maes J, Feyen J, Darius P (1989) Estimating the soil moisture retention characteristic from texture, bulk density, and carbon content. Soil Science 148, 389–403.
| Estimating the soil moisture retention characteristic from texture, bulk density, and carbon content.Crossref | GoogleScholarGoogle Scholar |
Vereecken H, Maes J, Feyen J (1990) Estimating unsaturated hydraulic conductivity from easily measured soil properties. Soil Science 149, 1–12.
| Estimating unsaturated hydraulic conductivity from easily measured soil properties.Crossref | GoogleScholarGoogle Scholar |
Vereecken H, Javaux M, Weynants M, Pachepsky Y, Schaap MG, Genuchten V (2010) Using pedotransfer functions to estimate the van Genuchten-Mualem soil hydraulic properties: a review. Vadose Zone Journal 9, 795–820.
| Using pedotransfer functions to estimate the van Genuchten-Mualem soil hydraulic properties: a review.Crossref | GoogleScholarGoogle Scholar |
Vogeler I (2007) Hydraulic conductivity measurements in the Taupo land disposal test pits 1 and 2 (View Road). HortResearch Client Report No. 21332. HortResearch, Palmerston North, New Zealand.
Wagner B, Tarnawski VR, Hennings V, Müller U, Wessolek G, Plagge R (2001) Evaluation of pedo-transfer functions for unsaturated soil hydraulic conductivity using an independent data set. Geoderma 102, 275–297.
| Evaluation of pedo-transfer functions for unsaturated soil hydraulic conductivity using an independent data set.Crossref | GoogleScholarGoogle Scholar |
Webb TH (2003) Identification of functional horizons to predict physical properties for soils from alluvium in Canterbury, New Zealand. Australian Journal of Soil Research 41, 1005–1019.
| Identification of functional horizons to predict physical properties for soils from alluvium in Canterbury, New Zealand.Crossref | GoogleScholarGoogle Scholar |
Webb TH, Lilburne LR (2005) Consequences of soil map unit uncertainty on environmental risk assessment. Australian Journal of Soil Research 43, 119–126.
| Consequences of soil map unit uncertainty on environmental risk assessment.Crossref | GoogleScholarGoogle Scholar |
Webb TH, Claydon JJ, Harris SR (2000) Quantifying variability of soil physical properties within soil series to address modern land-use issues on the Canterbury Plains, New Zealand. Australian Journal of Soil Research 38, 1115–1129.
| Quantifying variability of soil physical properties within soil series to address modern land-use issues on the Canterbury Plains, New Zealand.Crossref | GoogleScholarGoogle Scholar |
Weynants M, Vereecken H, Javaux M (2009) Revisiting Vereecken pedotransfer functions: introducing a closed-form hydraulic model. Vadose Zone Journal 8, 86–95.
| Revisiting Vereecken pedotransfer functions: introducing a closed-form hydraulic model.Crossref | GoogleScholarGoogle Scholar |
Wilde RH (Ed.) (2003) ‘Manual for National Soils Database.’ (Landcare Research: Palmerston North, New Zealand)
Wösten JHM (1997) Pedotransfer functions to evaluate soil quality. In ‘Soil quality for crop production and ecosystem health. Vol. 25’. (Eds EG Gregorich, MR Carter) pp. 221–245. (Elsevier: Amsterdam)
Wösten JHM, Lilly A, Nemes A, Le Bas C (1999) Development and use of a database of hydraulic properties of European soils. Geoderma 90, 169–185.
| Development and use of a database of hydraulic properties of European soils.Crossref | GoogleScholarGoogle Scholar |
Wösten JHM, Pachepsky YA, Rawls WJ (2001) Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics. Journal of Hydrology 251, 123–150.
| Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics.Crossref | GoogleScholarGoogle Scholar |
