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HYPRESCZ - database of soil hydrophysical properties in the Czech Republic

Author

Listed:
  • Markéta MIHÁLIKOVÁ

    (Department of Water Resources, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences in Prague, Prague, Czech Republic)

  • Svatopluk MATULA

    (Department of Water Resources, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences in Prague, Prague, Czech Republic)

  • František DOLEŽAL

    (Department of Water Resources, Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences in Prague, Prague, Czech Republic)

Abstract

The database of soil hydrophysical properties in the Czech Republic called HYPRESCZ was created. It is based on the European database HYPRES, HYdraulic PRoperties of European Soils, and follows its structure with few modifications. It collects the available data from the Czech Republic from which pedotransfer functions (PTFs) for the estimation of soil hydrophysical properties from easily available soil properties can be derived and 2101 database entries were collected. The entries have different quality of data, out of the total number of entries 707 entries were applicable to PTFs derivation for the estimation of soil water retention curves (SWRCs). After elimination of replicates, finally 159 unique soil horizons (arable land only) were used for PTFs derivation. The parametric continuous pedotransfer functions for estimation of SWRCs in the Czech Republic were derived within this study and are based on Wösten's model. The retention curves were estimated using both these newly derived PTFs and Wösten's original model, which was derived for European soils in general. The uncertainty of estimation was evaluated, employing the root mean squared error (RMSE) and the coefficient of determination (R2) comparing the PTF-estimated and the directly fitted retention curves. The reliability of the newly derived PTFs for Czech soils was higher (RMSE = 0.059 cm3/cm3 and R2 = 71%) compared to Wösten's general PTFs (RMSE = 0.11 cm3/cm3 and R2 = 36%).

Suggested Citation

  • Markéta MIHÁLIKOVÁ & Svatopluk MATULA & František DOLEŽAL, 2013. "HYPRESCZ - database of soil hydrophysical properties in the Czech Republic," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 8(1), pages 34-41.
    • Handle: RePEc:caa:jnlswr:v:8:y:2013:i:1:id:58-2012-swr
    DOI: 10.17221/58/2012-SWR
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    Citations

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    Cited by:

    1. Kamila Báťková & Svatopluk Matula & Eva Hrúzová & Markéta Miháliková & Recep Serdar Kara & Cansu Almaz, 2022. "A comparison of measured and estimated saturated hydraulic conductivity of various soils in the Czech Republic," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 68(7), pages 338-346.
    2. Kamila Báťková & Svatopluk Matula & Markéta Miháliková & Eva Hrúzová & David Kwesi Abebrese & Recep Serdar Kara & Cansu Almaz, 2023. "Prediction of saturated hydraulic conductivity Ks of agricultural soil using pedotransfer functions," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 18(1), pages 25-32.
    3. Markéta MIHÁLIKOVÁ & Svatopluk MATULA & František DOLEŽAL, 2014. "Application of k-Nearest code to the improvement of class pedotransfer functions and countrywide Field Capacity and Wilting Point maps," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 9(1), pages 1-8.
    4. Radka KODEŠOVÁ & Miroslava VLASÁKOVÁ & Miroslav FÉR & Daniela TEPLÁ & Ondřej JAKŠÍK & Pavel NEUBERGER & Radomír ADAMOVSKÝ, 2013. "Thermal properties of representative soils of the Czech Republic," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 8(4), pages 141-150.

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