Abstract
In this study, two types of pedotransfer functions (PTFs) were evaluated for their accuracy and applicability to a broad range of Alpine soils in the Halbammer area in southern Bavaria (Germany). The first model is ROSETTA, which is based on neural network analyses. It implements five hierarchical PTFs using limited to more extend input data. The second model is SOILPROP that is based on physical methods and predicts the soil hydraulic properties from particle size distribution and bulk density. The PTF were evaluated by comparing predicted with measured water retention values. The accuracy was quantified by direct statistical evaluation with the correlation coefficient (R), the mean error (ME) and the root mean square difference (RMSD). Additionally, a process based functional validation was performed by simulating the water flow using the measured and predicted soil hydraulic data. The RMSD values from ROSETTA models ranged from 0.068 to 0.202 cm3/cm3 for the water retention and from 0.450 to 0.579 log Ks (cm/day) concerning the hydraulic conductivity (K s). The ME indicated underestimated water contents at high suctions and for soils with high organic content. The functional evaluation was the better as the more input data were used in the hierarchical PTFs. The RMSD of SOILPROP was 0.073 cm3/cm3 for water contents and 0.718 log Ks (cm/day) for the hydraulic conductivity. The water contents in the middle suction range were underestimated in sandy soils and overestimated in soils with low bulk density. The functional evaluation showed improved model accuracy when the predicted saturated conductivity was adjusted to more realistic values from literature showing its sensitiveness towards water flow modelling.
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References
Arbeitsgemeinschaft Bodenkunde (1994) Bodenkundliche Kartieranleitung, Schweizerbart′sche Verlagsbuchhandlung, Stuttgart
Arya LM, Paris JF (1981) A physicoempirical model to predict the soil moisture characteristics from particle-size distribution and bulk density data. Soil Sci Soc Am J 45:1023–1030
Bouma J, van Lanen JAJ (1987) Transfer functions and threshold values: from soil characteristics to land qualities. In: Beck KJ (ed) Quantified land evaluation. International Institute of Aerospace Survey Earth Science ITC publication 6, pp 106–110
Cornelis WM, Ronsyn J, van Meirvenne M, Hartmann R (2001) Evaluation of pedotransfer functions for predicting the soil moisture retention curve. Soil Sci Soc Am J 65:638–648
Dullien FAL (1979) Porous media fluid transport and pore structure. Academic Press, New York
Durner W (1995). SHYPFIT 0.24 user’s manual. Research report 95.1. Department of Hydrology, University of Bayreuth, Germany
Gupta SC, Larson WE (1979) Estimating soil water characteristics from particle size distribution, organic matter percent and bulk density. Water Resour Res 15:1633–1635
Hartge K-H, Horn R (1971) Die physikalische Untersuchung von Böden. Ferdinand-Enke-Verlag, Stuttgart
Haverkamp R, Parlange J-Y (1986) Predicting the water-retention curve drom particle-size distribution: 1. Sandy soils without organic matter. Soil Sci 142:325–339
Haykin S (1994) Neural networks, a comprehensive foundation. Macmillan, New York
Hofmann M, Engelhardt S, Huwe B, Stumpp C (2009) Regionalizing soil properties in a catchment of the Bavarian Alps. Eur J For Res. doi:10.1007/s10342-008-0242-6
Husz G (1967) Ermittlung der pF-Kurve aus der Textur mit Hilfe multipler Regression. Zeitschr Pflanzenern Düng Bodenk 116:115–125
IUSS Working Group WRB (2006) World reference base for soil resources 2006. A framework for international classification, correlation and communication. Food and Agriculture Organization of the United States (FAO), Rome
Leij FJ, Alves WJ, van Genuchten MT, Williams JR (1996) Unsaturated soil hydraulic database, UNSODA 1.0 user's manual. Report EPA/600/R-96/095, US-Environmental Protection Agency, Ada, Oklahoma, 103 pp
Matyssek R, Wieser G, Patzner K, Blaschke H, Haeberle KH (2009) Transpiration of forest trees and stands at different altitude: consistencies rather than contrasts? Eur J For Res. doi:10.1007/s10342-008-0243-5
McBratney AB, Minasny B, Cattle SR, Vervoort RW (2002) From pedotransfer functions to soil inference systems. Geoderma 109:41–73
Mishra S and Parker JC (1989) A user's guide to SOILPROP. Report 8801. Environmental systems and technology. Blacksburg, Virginia
Mishra S, Parker JC, Snighal N (1989) Estimation of soil hydraulic properties and their uncertainty from particle size distribution data. J Hydrol 108:1–18
Mualem Y (1979) A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resour Res 12:513–522
Nemes A, Schaap MG, Leij FJ, Wösten JHM (2001) Description of the unstaturated soil hydraulic database UNSODA Version 2.0. J Hydrol 251:151–162
Nicolaeva SA, Pachepsky YA, Shcherbakov RA, Shcheglov AI (1986) Modelling of moisture regime for ordinary Chernozems. Pochvovedenie 6:52–59
Pachepsky YA, Rawls WJ, Lin HS (2006) Hydropedology and pedotransfer functions. Geoderma 131:308–316
Puckett WE, Dane JH, Hajek BF (1985) Physical and mineralogical data to determine soil hydraulic properties. Soil Sci Soc Am J 49:831–836
Rawls WJ, Brakensiek DL (1985) Prediction of soil water properties for hydrologic modelling. In: Jones E, Ward TJ (eds) Watershed management in the eighties. Proceedings of the symposium ASCE, Denver, CO. 30 April–2 May 1985. ASCE, New York
Rawls WJ, Brakensiek DL, Saxton KE (1982) Estimation of soil water properties. Trans. ASAE 108:1316–1320
Renger M (1971) Die Ermittlung der Porengrößenverteilung aus der Körnung, dem Gehalt an organischer Substanz und der Lagerungsdichte. Zeitschr Pflanzenern Düng Bodenk 130:53–67
Richards LA (1931) Capillary conduction of liquids through porous media. Physics 1:318–333
Saxton KE, Rawls WJ, Romberger JS, Papendick RI (1986) Estimating generalized soil–water characteristics from texture. Soil Sci Soc Am J 50:1031–1036
Schaap MG, Leij FJ (1998) Database-related accuracy and uncertainty of pedotransfer functions. Soil Sci 163:765–779
Schaap MG, Leij FJ (2000) Improved Prediction of unsaturated hydraulic conductivity with the Mualem-van Genuchten model. Soil Sci Soc Am J 64:843–851
Schaap MG, Leij FJ, van Genuchten MT (1998) Neural network analysis for hierarchical prediction of soil water retention and saturated hydraulic conductivity. Soil Sci Soc Am J 62:847–851
Schaap MG, Leij FJ, van Genuchten MT (2001) Rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. J Hydrol 251:163–176
Schäfer D (1999) Bodenhydraulische Eigenschaften eines Kleineinzuggebietes- Vergleich und Bewertung unterschiedlicher Verfahren, Institut für Hydromechanik, Fakultät für Bauingenieur- und Vermessungswesen, Universität Karlsruhe
Simunek J, Sejna M, van Genuchten MT (1998) Code for simulating the one-dimensional movement of water, heat and multiple solutes in variably saturated media, version 2.01. US Salinity Laboratory, US Department of Agriculture, Riverside, California
Tietje O, Tapkenhinrichs M (1993) Evaluation of pedotransfer functions. Soil Sci Soc Am J 57:1088–1095
Tyler SW, Wheatcraft SW (1989) Application of fractal mathematics to soil water retention estimation. Soil Sci Soc Am J 53:987–996
van Genuchten MT (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44:892–898
Vereecken H, Maes J, Feyen J, Darius P (1989) Estimating the soil moisture retention characteristics from texture, bulk density and carbon content. Soil Sci 148:389–403
Vereecken H, Diels J, van Orshoven J, Feyen J, Bouma J (1992) Functional evaluation of pedotransfer functions for the estimation of soil hydraulic properties. Soil Sci Soc Am J 56:1371–1378
Wösten JHM, Bannink MH, de Gruijter JJ, Bouma J (1986) A procedure to identify different groups of hydraulic-conductivity and moisture–retention curves for soil horizons. J Hydrol 86:133–145
Wösten JHM, Pachepsky YA, Rawls WJ (2001) Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics. J Hydrol 251:123–150
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Communicated by R. Matyssek.
The research reported in this article was conducted in the context of the DFG-funded umbrella project ‘Methodologies in Linking Hydrological and Biological Processes at the Landscape Level—a Contribution to IGBP/BAHC Research in Germany’ (DFG: Deutsche Forschungsgemeinschaft, German Research Foundation).
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Stumpp, C., Engelhardt, S., Hofmann, M. et al. Evaluation of pedotransfer functions for estimating soil hydraulic properties of prevalent soils in a catchment of the Bavarian Alps. Eur J Forest Res 128, 609–620 (2009). https://doi.org/10.1007/s10342-008-0241-7
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DOI: https://doi.org/10.1007/s10342-008-0241-7