Abstract
Many catchment basins have insufficient data to make conservation planning for sustainable natural resources use. In addition, intensive soil sampling is neither feasible nor economical in a large studied area. Therefore, interpolation models and pedotransfer functions (PTFs) have important roles in data mining. Main objectives of this study were to estimate and evaluate the estimates of basic soil hydraulic properties in Büyükçay Watershed (Turkey) using different interpolation geostatistic models and PTFs. Three interpolation models (inverse distance weighting IDW, ordinary kriging and cokriging) and pedotransfer functions (continuous and class) were applied and compared in this study. In 84 soil samples, soil depth, texture, organic matter, pH, electric conductivity, saturation degree, field capacity and permanent wilting point were determined. According to the results, among geostatistical algorithms, ordinary cokriging yields better results for all soil hydraulic properties with lower MAE and MSE values than ordinary kriging and IDW. Within PTFs, soil hydraulic properties were estimated with high reliability using continuous approach; however, class PTFs showed less sensitivity to space variability than geostatistical methods.
Similar content being viewed by others
References
Anonymous (1996) Ankara Orman Bölge Müdürlüğü, Çankırı Orman İşletme Müdürlüğü, Yapraklı Orman İsletme Şefliği Amenajman Planı
Baker L (2008) Development of class pedotransfer functions of soil water retention—a refinement. Geoderma 144:225–230
Başkan O, Erpul G, Dengiz O (2009) Comparing the efficiency of ordinary kriging and cokriging for spatial estimation of the Atterberg limits using selected soil physical properties. Clay Miner 44:181–193
Blake GR, Hartge KH (1986) Bulk density and particle denstity. In: Methods of soil analysis, Part I, Physical and mineralogical Methods, 2nd edn. ASA and SSSA Agronomy Monograph no 9, Madison, pp 363–381
Bouma J (1989) Using soil survey data for quantitative land evaluation. Adv Soil Sci 9:177–213
Bouyoucos GJ (1951) A recalibration of the hydrometer method for making mechanical analysis of soils. Agron J 43:435–438
Çalapkulu F (1967) Çankırı jeolojisi. MTA, Ankara
Dengiz O, Göl C, Karaca S, Yüksel M (2006) Effects of different landscape position and parent material on soil variability and land use in both sides of Acicay River-Çankırı. In: International Soil Meeting on Soil Sustaining Life on Earth, Managing Soil and Technology Proceeding vol II. Şanlıurfa-Turkey, pp 745–751
Dengiz O, Göl C, Başkan O (2007) Büyükçay Havzası (Çankırı) Toprak Özellikleri ve Haritalanması. Artvin Coruh Univ J For Fac 8(1):46–58
Franzen DW, Peck TR (1995) Field soil sampling density for variable rate fertilization. J Prod Agric 8:568–574
Franzmeier DP (1991) Estimation of hydraulic conductivity from effective porosity data for some Indiana soils. Soil Sci Soc Am J 55(6):1801–1803
Göl C, Çakır M (2006) The relationships between land use types and some soil properties In: The Çankırı-Yukarıöz Region, International Soil Meeting on Soil Sustaining Life on Earth, Managing Soil and Technology Proceeding, vol II. Şanlıurfa-Turkey, pp 644–652
Goovaerts P (1997) Geostatistics in soil science: state of- the-art and perspectives. Geoderma 89:1–45
Goovaerts P (1999) Using elevation to aid the geostatistical mapping of rainfall erosivity. Catena 34:227–242
Guber AK, YaA Pachepsky, van Genuchten MTh, Simunek J, Jacques D, Nemes A, Nicholson TJ, Cady RE (2009) Multimodel simulation of water flow in a field soil using pedotransfer functions. Vadose Zone J 8:1–10
Isaaks HE, Srivastava RM (1989) An Introduction to Applied Geostatistics. Oxford University Press, New York
Kantarcı M (2000) Toprak Ilmi. I. Ü. Orman Fak. Yayınları, İ. Ü. Y. N: 4261, O. F. Y. N: 462, Istanbul
Klute A (1986) Water retention: Laboratory methods. In: Klute A (ed) Methods of soil analysis. Part 1. Physical and mineralogical methods. 2nd edn. American Society of Agronomy—Soil Science Society of America, Madison, Wisconsin, pp 635–662
Kravchenko A, Bullock DG (1999) A comparative study of interpolation methods for mapping soil properties. Agron J 91:393–400
Miháliková M, Matula S, Doležal F (2014) Application of k-Nearest code to the improvement of class pedotransfer functions and countrywide Field Capacity and Wilting Point maps. Soil Water Res 9:1–8
Minasny B, McBratney AB (2002) Uncertainty analysis for pedotransfer functions. Eur J Soil Sci 53:417–429
Nelson DW, Sommers LE (1982) Total carbon, organic carbon, and organic matter. In: Page AL (ed) Methods of soil analysis, Part 2, 2nd edn. ASA and SSSA, Madison, Agronomy Monograph 9, pp 539–579
Nemes A, Rawls WJ, Ya Pachepsky (2006) Use of the nonparametric nearest neighbour approach to estimate soil hydraulic properties. Soil Sci Soc Am J 70:327–336
Nemes A, Roberts RT, Rawls WJ, Pachepsky Ya, van Genuchten MT (2008) Software to estimate −33 and −1500 kPa soil water retention using the non-parametric k-Nearest Neighbor technique. Version 1.00.02. Environ Modell Softw 23(2):254–255
Özyuvacı N (1999) Meteoroloji ve Klimatoloji. Rektörlük No: 4196, Faküte No: 460, ISBN: 975-404-544-5, İstanbul
Pachepsky Ya, Rawls WJ (2004) Development of pedotransfer functions in soil hydrology. Developments in Soil Science, 30. Elsevier
Soil Survey Laboratory Methods Manual (2004) United States Department of Agriculture Natural Resources Conservation Service, Soil Survey Investigations. Report No. 42
Soil Survey Staff (1999) Soil taxonomy, a basic system of soil classification for making and interpreting soil surveys. In: Agriculture Handbook vol 436, US Department of Agriculture, Washington
Teegavarapu R, Chandramouli V (2005) Improved weighting methods, deterministic and stochastic data-driven models for estimation of missing precipitation records. J Hydrol 312:191–206
Wahren FT, Tarasiuk M, Mykhnovych A, Kit M, Feger KH, Schwärzel K (2012) Estimation of spatially distributed soil information: dealing with data shortages in the Western Bug Basin, Ukraine. Environ Earth Sci 65:1501–1510
Weisz R, Fleischer S, Smlilowitz Z (1995) Map generation in high-value horticultural integrated pest management: Appropriate interpolation methods for site-specific pest management of Colorado potato beetle (Coleoptera: Chrysomelidae). J Econ Entomol 88:1650–1657
Wösten JHM, Schuren CHJE, Bouma J, Stein A (1990) functional sensitivity analysis of four methods to generate soil hydraulic functions. Soil Sci Soc Am J 54(3):832–836
Wösten JHM, Lilly A, Nemes A, Le Bas C (1999) Development and use of a database of hydraulic properties of European soils. Geoderma 90(3–4):169–185
Wösten JHM, Ya Pachepsky, Rawls WJ (2001) Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics. J Hydrol 251(3–4):123–150
Wösten JHM, Verzandvoort SJE, Leenaars JGB, Hoogland T, Wesseling JG (2013) Soil hydraulic information for river basin studies in semi-arid regions. Geoderma 195–196:79–86
Wu TN, Wu G-L, Wang D, Shi ZH (2014) Soil-hydrological properties response to grazing exclusion in a steppe grassland of the Loess Plateau. Environ Earth Sci 71:745–752
Yates SR, Warrick AW (1987) Estimating soil water content using cokriging. Soil Sci Soc Am J 51:23–30
Zhang R, Myers DE, Warrick AW (1992) Estimation of the spatial distribution of the soil chemicals using pseudo cross-variograms. Soil Sci Soc Am J 56:1444–1452
Acknowledgments
The authors gratefully acknowledge the scientific research Grant (TUBITAK- 104O146) from the Scientific and Technological Research Council of Turkey. In addition, the authors thank the three anonymous reviewers for their constructive comments which contributed to improve this publication.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Miháliková, M., Başkan, O. & Dengiz, O. Capability of different interpolation models and pedotransfer functions to estimate soil hydraulic properties in Büyükçay Watershed. Environ Earth Sci 74, 2425–2437 (2015). https://doi.org/10.1007/s12665-015-4246-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12665-015-4246-5