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Journal of Mountain Science

, Volume 11, Issue 1, pp 98–109 | Cite as

Temporal stability of apparent soil electrical conductivity measured by electromagnetic induction techniques

Article

Abstract

Assessing and managing the spatial variability of hydropedological properties are important in environmental, agricultural, and geological sciences. The spatial variability of soil apparent electrical conductivity (ECa) measured by electromagnetic induction (EMI) techniques has been widely used to infer the spatial variability of hydrological and pedological properties. In this study, temporal stability analysis was conducted for measuring repeatedly soil ECa in an agricultural landscape in 2008. Such temporal stability was statistically compared with the soil moisture, terrain indices (slope, topographic wetness index (TWI), and profile curvature), and soil properties (particle size distribution, depth to bedrock, Mn mottle content, and soil type). Locations with great and temporally unstable soil ECa were also associated with great and unstable soil moisture, respectively. Soil ECa were greater and more unstable in the areas with great TWI (TWI > 8), gentle and concave slope (slope < 3%; profile curvature > 0.2). Soil ECa exponentially increased with depth to bedrock, and soil profile silt and Mn mottle contents (R2 = 0.57), quadratically (R2 = 0.47), and linearly (R2 = 0.47), respectively. Soil ECa was greater and more unstable in Gleysol and Nitosol soils, which were distributed in areas with low elevation (< 380 m), thick soil solum (> 3 m), and fluctuated water table (shallow in winter and spring but deep in summer and fall). In contrast, Acrisol, Luvisol, and Cambisol soils, which are distributed in the upper slope areas, had lower and more stable soil ECa. Through these observations, we concluded that the temporal stability of soil ECa can be used to interpret the spatial and temporal variability of these hydropedological properties.

Keywords

Geophysics Pedology Soil hydrology Soil water content 

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References

  1. Anderson-Cook CM, Alley MM, Roygard JKF, et al. (2002) Differentiating soil types using electromagnetic conductivity and crop yield maps. Soil Science Society of America Journal 66: 1562–1570. DOI: 10.2136/sssaj2002.1562.CrossRefGoogle Scholar
  2. Avila LF, Mello CR, Mello JM, Silva AM (2011) Spatial and temporal patterns of soil moisture in a watershed with predominance of oxisols. Revista Brasileira de Ciência do Solo 35: 1801–1810. DOI: 10.1590/S0100-06832011000500033. (In Portuguese)CrossRefGoogle Scholar
  3. Auerswald K, Simon S, Stanjek H (2001) Influence of soil properties on electrical conductivity under humid water regimes. Soil Science 166: 382–390. DOI: 10.1097/00010694-200106000-00003.CrossRefGoogle Scholar
  4. Bork EW, West NE, Doolittle JA, Boettinger JL (1998) Soil depth assessment of sagebrush grazing treatments using electromagnetic induction. Journal of Range Management 51: 469–474. DOI: 10.2307/4003336.CrossRefGoogle Scholar
  5. Brevik EC, Fenton TE, Lazari A (2006) Soil electrical conductivity as a function of soil water content and implications for soil mapping. Precision Agriculture 7: 393–404. DOI: 10.1007/s11119-006-9021-x.CrossRefGoogle Scholar
  6. Cassel DK, Afyuni MM, Robarge WP (2002) Managanese distribution and patterns of soil wetting and depletion in a piedmont hillslope. Soil Science Society of America Journal 66: 939–947. DOI: 10.2136/sssaj2002.9390.CrossRefGoogle Scholar
  7. Corwin DL, Lesch SM (2005) Apparent soil electrical conductivity measurements in agriculture. Computers and Electronics in Agriculture 46: 11–43. DOI: 10.1016/j.compag.2004.10.005.CrossRefGoogle Scholar
  8. Cosenza Ph, Tabbagh A (2004) Electromagnetic determination of clay water content: role of the microporosity. Applied Clay Science 26: 21–36. DOI: 10.1016/j.clay.2003.09.011.CrossRefGoogle Scholar
  9. Food and Agriculture Organization of the United Nations (1998) World Reference Base for Soil Resources, World Soil Resources Reports, FAO, Rome.Google Scholar
  10. Farahani HJ, Buchleiter GW (2004) Temporal stability of soil electrical conductivity in irrigated sandy fields in Colorado. Transactions of the ASABE 47: 79–90. DOI: 10.13031/2013.15873.CrossRefGoogle Scholar
  11. Ferreyra RA, Apeztegua HP, Sereno R, Jones JW (2002) Reduction of soil water spatial sampling density using scaled semivariograms and simulated annealing. Geoderma 110: 265–289. DOI: 10.1016/S0016-7061(02)00234-3.CrossRefGoogle Scholar
  12. Franz MM, Stefan P, Gerhard W (2008) Spatial heterogeneity of soil properties and its mapping with apparent electrical conductivity. Journal of Plant Nutrition and Soil Science 171: 146–154. DOI: 10.1002/jpln.200625130.CrossRefGoogle Scholar
  13. Grant L, Seyfried M, McNamara J (2004) Spatial variation and temporal stability of soil water in a snow-dominated, mountain catchment. Hydrological Processes 18: 3493–3511. DOI: 10.1002/hyp.5798.CrossRefGoogle Scholar
  14. Greve MH, Greve MB (2004) Determining and representing width of soil boundaries using electrical conductivity and MultiGrid. Computers & Geosciences 30: 569–578. DOI: 10.1016/j.cageo.2004.01.005.CrossRefGoogle Scholar
  15. Hanson BR, Kaita K (1997) Response of electromagnetic conductivity meter to soil salinity and soil-water content. Journal of Irrigation and Drainage Engineering 123: 141–143. DOI: 10.1061/(ASCE)0733-9437(1997)123:2(141).CrossRefGoogle Scholar
  16. James IT, Waine TW, Bradley RI, et al. (2003) Determination of soil type boundaries using electromagnetic induction scanning techniques. Biosystems Engineering 86: 421–430. DOI: 10.1016/j.biosystemseng.2003.09.001.CrossRefGoogle Scholar
  17. Johnson CK, Doran JW, Duke HR, et al. (2001) Field-scale electrical conductivity mapping for delineating soil condition. Soil Science Society of America Journal 65: 1829–1837. DOI: 10.2136/sssaj2001.1829.CrossRefGoogle Scholar
  18. Kachanoski RG, De Jong E, Van Wesenbeeck IJ (1990) Field scale patterns of soil water storage from non-contacting measurements of bulk electrical conductivity. Canadian Journal of Soil Science 70: 537–541. DOI: 10.4141/cjss90-056.CrossRefGoogle Scholar
  19. Kettler TA, Doran JW (2001) Simplified method for soil particle-size determination to accompany soil-quality analyses. Soil Science Society of America Journal 65: 849–852. DOI: 10.2136/sssaj2001.653849x.CrossRefGoogle Scholar
  20. Kim S, Kim H (2007) Stochastic analysis of soil moisture to understand spatial and temporal variations of soil wetness at a steep hillside. Journal of Hydrology 341: 1–11. DOI: 10.1016/j.jhydrol.2007.04.012.CrossRefGoogle Scholar
  21. Kachanoski RG, de Jong E (1988) Scale dependence and the temporal persistence of spatial patterns of soil water storage. Water Resources Research 24: 85–91. DOI: 10.1029/WR024i001p00085.CrossRefGoogle Scholar
  22. Kravchenko AN (2003) Influence of spatial structure on accuracy of interpolation methods. Soil Science Society of America Journal 67: 1564–1571. DOI: 10.2136/sssaj2003.1564.CrossRefGoogle Scholar
  23. Lin HS, Bouma J, Wilding L, et al. (2005) Advances in hydropedology. Advances in Agronomy 85: 1–89. DOI: 10.1016/S0065-2113(04)85001-6.CrossRefGoogle Scholar
  24. Lin HS, Kogelmann W, Walker C, Bruns MA (2006a) Soil moisture patterns in a forested catchment: A hydropedological perspective. Geoderma 131: 345–368. DOI: 10.1016/j.geoderma.2005.03.013.CrossRefGoogle Scholar
  25. Lin HS (2006b) Temporal stability of soil moisture spatial pattern and subsurface preferential flow pathways in the Shale Hills Catchment. Vadose Zone Journal 5: 317–340. DOI: 10.2136/vzj2005.0058.CrossRefGoogle Scholar
  26. McCutcheon MC, Farahani HJ, Stednick JD, et al. (2006) Effect of soil water on apparent soil electrical conductivity and texture relationships in a dryland field. Biosystems Engineering 94: 19–32. DOI: 10.1016/j.biosystemseng.2006. 01.002.CrossRefGoogle Scholar
  27. McDaniel PA, Buol SW (1991) Manganese distributions in acid soils of the North Carolina Piedmont. Soil Science Society of America Journal 55: 152–158. DOI: 10.1029/2004gb002219.CrossRefGoogle Scholar
  28. Mohanty BP, Skaggs TH (2001) Spatio-temporal evolution and time-stable characteristics of soil moisture within remote sensing footprints with varying soil, slope, and vegetation. Advances in Water Resources 24: 1051–1067. DOI: 10.1016/S0309-1708(01)00034-3.CrossRefGoogle Scholar
  29. Molin JP, Faulin GDC (2013) Spatial and temporal variability of soil electrical conductivity related to soil moisture. Scientia Agricola 70: 1–5. DOI: 10.1590/S0103-90162013000100001.Google Scholar
  30. Mueller TG, Hartsock NJ, Stombaugh TS, et al. (2003) Soil electrical conductivity map variability in limestone soils overlain by loess. Agronomy Journal 95: 496–507. DOI: 10.2134/agronj2003.4960.CrossRefGoogle Scholar
  31. Pachepsky YA, Guber AK, Jacques D (2005) Temporal persistence in vertical distribution of soil moisture contents. Soil Science Society of America Journal 69: 347–352. DOI: 10.2136/sssaj2005.0347.CrossRefGoogle Scholar
  32. Reedy RC, Scanlon BR (2003) Soil water content monitoring using electromagnetic induction. Journal of Geotechnical and Geoenvironmental Engineering 129: 1028–1039. DOI: ASCE1090-02412003129.CrossRefGoogle Scholar
  33. Rhoades JD, Raats PAC, Prather RS (1976) Effects of liquidphase electrical conductivity water content and surface conductivity on bulk soil electrical conductivity. Soil Science Society of America Journal 40: 651–665. DOI: 10.2136/sssaj1976.03615995004000050017x.CrossRefGoogle Scholar
  34. Rossel RAV, McBratney AB (1998) Soil chemical analytical accuracy and costs: implications from precision agriculture. Australian Journal of Experimental Agriculture 38: 765–775. DOI: 10.1071/EA97158.CrossRefGoogle Scholar
  35. Sawyer JE (1994) Concepts of variable rate technology with considerations for fertilizer application. Journal of Production Agriculture 7: 195–201. DOI: 10.2134/jpa1994.0195.CrossRefGoogle Scholar
  36. Sheets KP, Hendrickx JMH (1995) Noninvasive soil water content measurement using electromagnetic induction. Water Resources Research 31: 2401–2409. DOI: 10.1029/95WR01949.CrossRefGoogle Scholar
  37. Sherlock MD, McDonnell JJ (2003) A new tool for hillslope hydrologists: spatially distributed groundwater level and soil water content measured using electromagnetic induction. Hydrological Processes 17: 1965–1977. DOI: 10.1002/hyp.1221.CrossRefGoogle Scholar
  38. Soil Survey Division Staff (1993) Soil Survey Manual, U.S. Dept. Agri. Handbook No. 18, U.S. Gov. Printing Office, Washington, DC.Google Scholar
  39. Sudduth KA, Drummond ST, Kitchen NR (2001) Accuracy issues in electromagnetic induction sensing of soil electrical conductivity for precision agriculture. Computers and Electronics in Agriculture 31: 239–264. DOI: 10.1016/S0168-1699(00)00185-X.CrossRefGoogle Scholar
  40. Sudduth KA, Kitchen NR, Bollero GA, et al. (2003) Comparison of electromagnetic induction and direct sensing of soil electrical conductivity. Agronomy Journal 95: 472–482. DOI: 10.2134/agronj2003.4720.CrossRefGoogle Scholar
  41. Tarboton DG (1997) A new method for the determination of flow directions and contributing areas in grid digital elevation models. Water Resources Research 33: 309–319. DOI: 10.1029/96WR03137.CrossRefGoogle Scholar
  42. Vachaud G, De Silans Passerat A, Balabanis P, Vauclin M (1985) Temporal stability of spatial measured soil water probability density function. Soil Science Society of America Journal 49: 822–827. DOI: 10.2136/sssaj1985.03615995004900040006x.CrossRefGoogle Scholar
  43. Weller U, Zipprich M, Sommer M, et al. (2007) Mapping clay content across boundaries at the landscape scale with electromagnetic induction. Soil Science Society of America Journal 71: 1740–1747. DOI: 10.2136/sssaj2006.0177.CrossRefGoogle Scholar
  44. Yaalon DH, Jungreis C, Koyumjisky H (1972) Distribution and reorganization of manganese in three catenas of Mediterranean soils. Geoderma 7: 71–78. DOI: 10.1016/0016-7061(72)90053-5.CrossRefGoogle Scholar
  45. Zhang T, Berndtsson R (1991) Analysis of soil water dynamics in time and space by use of pattern recognition. Water Resources Research 27: 1623–1636. DOI: 10.1029/91WR00 436.CrossRefGoogle Scholar
  46. Zhu Q, Lin HS (2009) Simulation and validation of concentrated subsurface lateral flow paths in an agricultural landscape. Hydrology and Earth System Sciences 13: 1503–1518. DOI: 10.5194/hess-13-1503-2009.CrossRefGoogle Scholar
  47. Zhu Q, Lin HS (2010) Comparing ordinary kriging and regression kriging for soil properties in contrasting landscapes. Pedosphere 20: 594–606. DOI: 10.1016/S1002-0160(10)60049-5.CrossRefGoogle Scholar
  48. Zhu Q, Lin HS, Doolittle J (2010) Repeated electromagnetic induction surveys for improved soil mapping in an agricultural landscape. Soil Science Society of America Journal 74: 1763–1774. DOI: 10.2136/sssaj2010.0056.CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjingChina
  2. 2.USDA-NRCSNational Soil Survey CenterNewtown SquareUSA

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