Korean Journal of Soil Science and Fertilizer (한국토양비료학회지)

Korean Society of Soil Science and Fertilizer (한국토양비료학회)
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Spatial Analyses of Soil Chemical Properties from a Remodeled Paddy Field as Affected by Wet Land Leveling

  • Jung, Ki-Yuol (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Choi, Young-Dae (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Lee, Sanghun (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Chun, Hyen Chung (Crop Production Technology Research Division, National Institute of Crop Science, RDA) ;
  • Kang, Hang-Won (Crop Production Technology Research Division, National Institute of Crop Science, RDA)
  • Received : 2016.09.21
  • Accepted : 2016.10.28
  • Published : 2016.10.31
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Abstract

Uniformity and leveled distributions of soil chemicals across paddy fields are critical to manage optimal crop yields, reduce environmental risks and efficiently use water in rice cultivation. In this study, an investigation of spatial distributions on soil chemical properties was conducted to evaluate the effect of land leveling on mitigation of soil chemical property heterogeneity from a remodeled paddy field. The spatial variabilities of chemical properties were analyzed by geostatistical analyses; semivariograms and kriged simulations. The soil samples were taken from a 1 ha paddy field before and after land leveling with sufficient water. The study site was located at Bon-ri site of Dalseong and river sediments were dredged from Nakdong river basins. The sediments were buried into the paddy field after 50 cm of top soils at the paddy field were removed. The top soils were recovered after the sediments were piled up. In order to obtain the most accurate spatial field information, the soil samples were taken at every 5 m by 5 m grid point and total number of samples was 100 before and after land leveling with sufficient water. Soil pH increased from 6.59 to 6.85. Geostatistical analyses showed that chemical distributions had a high spatial dependence within a paddy field. The parameters of semivariogram analysis showed similar trends across the properties except pH comparing results from before and after land leveling. These properties had smaller "sill" values and greater "range" values after land leveling than ones from before land leveling. These results can be interpreted as land leveling induced more homogeneous distributions of soil chemical properties. The homogeneous distributions were confirmed by kriged simulations and distribution maps. As a conclusion, land leveling with sufficient water may induce better managements of fertilizer and water use in rice cultivation at disturbed paddy fields.

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References

  1. Brocca, L., F. Melone, and T. Moramarco. 2007. Soil moisture spatial variability in experimental areas of central Italy. J. Hydrol. 333:356-373. https://doi.org/10.1016/j.jhydrol.2006.09.004
  2. Brooker, P.I. 1986. A parametric study of robustness of kriging variance as a function of range and relative nugget effect for a spherical semivariogram. Math. Geol. 18(5):477-488. https://doi.org/10.1007/BF00897500
  3. Brye, K.R., N.A. Slaton, M. Mozaffari, M.C. Savin, R.J. Norman, and D.M. Miller. 2004. Short-term effects of land leveling on soil chemical properties and their relationships with microbial biomass. Soil Sci. Soc. Am. J. 68:924-934. https://doi.org/10.2136/sssaj2004.9240
  4. Cabangon, R. and T.P. Tuong. 2000. Management of cracked soils for water saving during land preparation for rice cultivation. Soil Tillage Res. 56(1-2):105-116. https://doi.org/10.1016/S0167-1987(00)00125-2
  5. Chun, H.C., K.Y. Jung, Y.D. Choi, S.M. Jo, S.H. Lee, B.K. Hyun, K.S. Shin, Y.K. Sonn, and H.W. Kang. 2015. Comparison of soil properties between anthropogenic and natural paddy field soils from computed tomographic images. Korean J. Soil Sci. Fert. 48(5):351-360. https://doi.org/10.7745/KJSSF.2015.48.5.351
  6. Cislerova, M. and J. Votrabova. 2002. CT derived porosity distribution and flow domains. J. Hydrol. 267(3-4):186-200. https://doi.org/10.1016/S0022-1694(02)00149-X
  7. Dexter, A.R. 2002. Soil structure: the key to soil function. Adv. GeoEcology. 35:57-69.
  8. Goovaerts, P. 1998. Geostatistical tools for characterizing the spatial variability of microbiological and physico-chemical soil properties. Biol. Fertil. Soils. 27(4):315-334. https://doi.org/10.1007/s003740050439
  9. Green, T. and R.H. Erskine. 2004. Measurement, scaling, and topographic analyses of spatial crop yield and soil water content. Hydrol. Processes. 18(8):1147-1465.
  10. Isaaks, E.H. and R.M. Srivastava, Applied Geostatistics, Oxford University Press, Oxford, UK, 1989.
  11. Jackson, R.B. and M.M. Caldwell. 1993. Geostatistical patterns of soil heterogeneity around individual perennial plants. J. Ecol. 81:683-692. https://doi.org/10.2307/2261666
  12. Kerry, R. and M.A., Oliver, 2004. Average variograms to guide soil sampling. Int. J. Applied Earth Observation Geoinform, 5:307-325. https://doi.org/10.1016/j.jag.2004.07.005
  13. Li, C.J., Y. Li, J. Ma, L.L. Fan, and Q.X. Wang. 2010. Spatial heterogeneity of soil chemical properties between Haloxylon persicum and Haloxylon ammodendron populations. J. Arid Land. 2(4):257-265.
  14. Markus, J. and A.B. McBratney. 2001. A review of the contamination of soil with lead: II. Spatial distribution and risk assessment of soil lead. Environ. Int. 27(5):399-411. https://doi.org/10.1016/S0160-4120(01)00049-6
  15. Matumbu, R., N. Mujere, and X.H. Yang. 2014. Evaluating the physical-chemical and microbiological quality of potable water in Harare. Nonlinear Sci. Lett. C. 4(1):1-14.
  16. Mihara, M. 1996. Effects of agricultural land consolidation on erosion processes in semi-mountainous paddy fields of Japan. J. Agric. Eng. Res. 64(3):237-247. https://doi.org/10.1006/jaer.1996.0064
  17. Miller, M.P., M.J. Singer, and D.R. Nielsen. 1987. Spatial variability of wheat yield and soil properties on complex hills. Soil Sci. Soc. Am. J. 52(4):1133-1141. https://doi.org/10.2136/sssaj1988.03615995005200040045x
  18. Osari, H. 2003. A new method for assessing land leveling to produce high quality consolidated paddy fields. Paddy Water Environ. 1(1): 35-41. https://doi.org/10.1007/s10333-002-0005-9
  19. Oztekin, T. 2013. Short-term effects of land leveling on irrigation-related some soil properties in clay loam soil. Sci. World J. Article ID 187490.
  20. Posadas, A.N.D., D. Gimenez, M. Bittelli, C.M.P. Vaz, and M. Flury. 2003. Multifractal characterization of soil particle-size distributions. Soil Sci. Soc. Am. J. 65(5):1361-1367. https://doi.org/10.2136/sssaj2001.6551361x
  21. Redulla, C.A., J.L. Havlin, G.J. Kluitenberg, N. Zhang, and M.D. Schrock, 1996. Variable nitrogen management for improving groundwater quality. Proceedings of the 3rd International Conference on Precision Agriculture, June 23-26, 1996, Minneapolis, MN., USA., pp. 1101-1110.
  22. Sonn, Y.K., Y.S. Zhang, C.W. Park, Y.H. Moon, B.K. Hyun, K.C. Song, and H.C. Chun. 2012. A comparison of spatial variation on anthropogenic soils. Korean J. Soil Sci. Fert. 45(6):897-899. https://doi.org/10.7745/KJSSF.2012.45.6.897
  23. Walker, T.W., W.L. Kingery, J.E. Street, and M. S. Cox. 2003. Rice yield and soil chemical properties as affected by precision land leveling in Alluvial soils. Agron. J. 95:1483-1488. https://doi.org/10.2134/agronj2003.1483
  24. Western, A.W., G. Bloschl, and R.B. Grayson. 1998. Geostatistical characterization of soil moisture patterns in the Tarrawarra catchment. J. Hydrol. 205:20-37. https://doi.org/10.1016/S0022-1694(97)00142-X
  25. Western, A.W., S.L. Zhou, R.B. Grayson, T.A. McMahon, G.Bloschl, and D.J. Wilson. 2004. Spatial correlation of soil moisture in small catchments and its relationship to dominant spatial hydrological processes. J. Hydrol. 286:113-134. https://doi.org/10.1016/j.jhydrol.2003.09.014
  26. Yasrebi, J., M. Saffari, H. Fathi, N. Karimian, M. Moazallahi, and R. Ganzi. 2009. Evaluation and comparison of ordinary kriging and inverse distance weighting methods for prediction of spatial variability of some soil chemical parameters. Res. J. Biol. Sci. 4(1):93-102.