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대한지리학회지 = Journal of the Korean Geographical Society v.45 no.1=no.136, 2010년, pp.95 - 118   피인용횟수: 1
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한국 주요 토양유형의 공간적 분포와 토양형성요인을 이용한 예측가능성 평가
Spatial Distribution of Major Soil Types in Korea and an Assessment of Soil Predictability Using Soil Forming Factors

박수진    (서울대학교 지리학과   ); 손연규    (농촌진흥청 국립농업과학원   ); 홍석영    (농촌진흥청 국립농업과학원   ); 박찬원    (농촌진흥청 국립농업과학원   ); 장용선    (농촌진흥청 국립농업과학원  );
  • 초록

    이 연구에서는 현재 한국에서 사용되고 있는 구분류법에 근거한 대토양군과 신분류법에 근거한 대군의 공간적 분포를 살펴보고, 토양형성과 관련된 각종 환경요인들과의 상관관계를 분석하였다. 그 결과를 토대로 의사결정나무기법을 이용하여 토양분포의 예측가능성을 평가하였다. 대토양군의 경우에는 분포를 보다 직관적으로 이해할 수 있는 장점이 있지만, 환경요인을 이용한 예측가능성면에서는 대군에 뒤지는 결과를 보여주었다. 토양분포를 결정하는 요인들로는 산지와 평탄지가 뚜렷하게 구분되는 한국의 지형특성이 가장 중요한 요인으로 나타났으며 부차적으로 기후특성, 그리고 사변을 따라 나타나는 토양연속성이 제시되었다. 의사결정나무기법을 이용한 토양의 예측가능성 평가에서는 예측변수의 수와 종류에 따라 35%에서 75%의 분류정확도를 보여주었다. 신분류법의 경우에는 지형요인이 가장 중요한 예측변수로 평가된 반면, 구분류법의 경우에는 기후변수가 중요한 예측변수로 평가되어 대조를 보였다.


    This study aims to investigate the spatial distribution of major soil types in Korea, and to assess the ability to predict soil distribution using environmental variables. A classification tree method was used to assess soil predictability. While the great soil groups can give more intuitive understandings on their spatial distributions, its predictability using environmental factors is much lower than that of the great groups. The most important factor to determine the spatial distribution of major soil types is the geomorphological characteristic of Korea that shows distinctive morphological difference between mountains and plains. Spatial distribution of climatic variables and catenary soil sequence along slopes play additional roles in determining the distribution of soil types. The classification tree models resulted in 35-75% of prediction accuracy, depends on the combination of different environmental variables brought in the models. While geomorphological variables are the best predictors for the great groups, climatic variables perform better for the great soil groups.


  • 주제어

    토양도 .   토양분류 .   대토양군 .   대군 .   토양예측 .   토양-경관분석법.  

  • 참고문헌 (49)

    1. ASI(Agricultural Sciences Institute), 1985, Soils of Korea - with Generalized Soil Map of Pattern of Soil Orders and Suborders of Korea 1:1,000,000, Agricultural Sciences Institute, RDA, Suwon, Korea. 
    2. ASI(Agricultural Sciences Institute), 1992. Korean Soil Survey and Classification, Agricultural Sciences Institute, RDA, Suwon, Korea. 
    3. Breiman, L., Friedman, J., Olshen, R. A., and Stone, C. J., 1984, Classification and Regression Trees, Wadsworth. 
    4. Buol, S. W., Southard, R. J., Graham, R. C., and McDaniel, P. A., 2003, Soil Genesis and Classification, 5th edition, Iowa State Press- Blackwell. 
    5. Burrough, P. A., 1993, Soil variability: A late 20th century view, Soils and Fertilizers, 56, 529-562. 
    6. Conrad, O., 1998, DiGem-Software for Digital Elevation Model, Unpublished Ph.D. Thesis, University of Gottingen, Germany. 
    7. Duchaufour, Ph., 1982, Pedology: Pedogenesis and Classification, Translated by Paton, T. R. London, George Allen and Unwin. 
    8. FAO/ISRIC/ISSS, 1998, World Reference Base for Soil Resources, World Soil Resources Reports, FAO, Rome. 
    9. Gallant, J. C. and Wilson, J. P., 2000, Primary topographic attributes, in Wilson, J. P. and Gallant, J. C.(eds.), Terrain Analysis: Principles and Application, John Wiley and Sons, 51-86. 
    10. Gerrard, J., 1992, Soil Geomorphology, Chapman & Hall, London. 
    11. Gessler, P. E., Moore, I. D., McKenzie, N. J., and Ryan, P. J., 1995, Soil-landscape modelling and spatial prediction of soil attributes, International Journal of Geographical Information Systems, 9, 421-432. 
    12. Grunwald, S., 2006. Environmental Soil-Landscape Modeling-Geographic Information Technologies and Pedometrics, CRC Press. 
    13. Hewitt, A. E., 1993, Predictive modelling in soil survey, Soils and Fertilizers, 56, 305-314. 
    14. Hong, S. Y., Im, S. K., Lee, S. H., Lee, J. C., and Kim, L. H., 2008, Spatial analysis of agro-environment of North Korea using remote sensing I. Landcover classification from Landsat TM imagery and topography analysis in North Korea, Korean Journal of Environmental Agriculture, 27(2), 120-132.     
    15. Jenny, H., 1941, Factors of Soil Formation, McGraw-Hill, New York. 
    16. Kang, Y. P., 1978, The characteristics of weathering processes of red soils in South Korea, Journal of the Korean Geographical Society, 18, 1-12. 
    17. Kang, Y. P., 1987, Pedological and geomorphological characteristics of paleo-red soils, Journal of Geographical Education, 18, 38-54. 
    18. KIGMM(Korea Institute of Geology, Mining and Materials), 1995, Geological Map of Korea 1:1,000,000, Korea Institute of Geology, Mining and Materials, Daejeon (한국자원연구소, 1995, 한국지질도 1:1,000,000, 한국자원연구소, 대전). 
    19. Kim, W. J., 2004, A Classification of Ecological Regions of Korea, Using Natural Environmental Related Parameters, Unpublished Ph.D Thesis, Seoul National University, Korea. 
    20. Koreand Geological Society, 1999, The Geology of Korea, Sigma Press, Seoul (대한지질학회, 1999, 한국의 지질, 시그마프레스, 서울). 
    21. Kwon, H. J., 2003, Physical Geography of Korea, Bakyoungsa, Seoul. 
    22. Lagacherie, P., Robbez-Masson, J. M., Nguyen-The, N., and Barthes, J. P., 2001, Mapping of reference area representativity using a mathematical soilscape distance, Geoderma, 101, 105-118. 
    23. Lee, S. H., 2007, Climatology, Purungil, Seoul (이승호, 2007, 기후학, 푸른길, 서울). 
    24. Leech, N. L., Barrett, K. C., and Morgan, G. A., 2005, SPSS for Intermediate Statistics: Use and Interpretation(3rd edition), Lawrence Earlbaum Associates. 
    25. McBratney, A. B., Mendonca Santos, M. L., and Minasny, B., 2003, On digital soil mapping, Geoderma, 117, 3-52. 
    26. McSweeney, K., Gessler, P. E., Slater, B., Hammer, R. D., and Bell, J., 1994. Towards a new framework for modeling the soil-landscape continuum, in Amundson, R. G. and Harden, J. W.(eds.)., Factors of Soil Formation: A Fiftieth Anniversary Retrospective, Soil Science Society of America, Madison, WI, 1-13. 
    27. MOE(Ministry of Environment), 2009, The White Paper on Environment 2009, Ministry of Environment, Korea, Kwachon. 
    28. Moore, I. D., Turner, A. K., Wilson, J. P., Jenson, S. K., and Band, L. E., 1993, GIS and land surfacesubsurface modeling. in Goodchild, M. F., Parks, B. O., and Steyaert, L. T.(eds.), Environmental Modeling with GIS, Oxford University Press, New York, 196-230. 
    29. Moran, C. J. and Bui, E., 2002, Spatial data mining for enhanced soil map modelling, International Journal of Geographical Information Science, 16, 533-549. 
    30. NAAS(National Academy of Agricultural Science), 2010, Korean Soil Information System(http://asis.rda. go.kr), National Academy of Agricultural Science, RDA, Suwon. 
    31. MOE(Ministry of Environment), 2009, The White Pater in Environment 2009, Ministry of Environment, Kwachon (환경부, 2009, 환경백서 2009, 환경부, 과천). 
    32. NGII(National Geographic Information Institute), 2007, National Atlas of Korea, National Geographic Information Institute, Suwon, 298 (국토지리정보원, 2007, 대한민국 국가지도집, 국토지리정보원, 수원). 
    33. NHAES(National Honam Agricultural Experimental Station), 2003, Theory and Practice of Soil Survey, National Honam Agricultural Experimental Station, RDA, Suwon (농촌진흥청 호남농업시험장, 2003, 토양조사 이론과 실무기술, 농촌진흥청 호남농업시험장, 수원). 
    34. NIAST(National Institute of Agricultural Science and Technology), 2005, Achievements and Progress of the Korean Soil Survey, National Institute of Agricultural Science and Technology, RDA, Suwon. 
    35. NIAST(National Institute of Agricultural Science and Technology), 2000, Taxonomical Classification of Korean Soils, National Institute of Agricultural Science and Technology, RDA, Suwon. 
    36. Park, S. J., 2004, A geomorphological classification system to characterize ecological processes over the landscape, Journal of the Korean Geographical Society, 39(4), 495-513.     
    37. Park, S. J., 2007, Tectonic movement in the Korean Peninsula (I): The spatial distribution of tectonic movement identified by terrain analyses, Journal of the Korean Geographical Society, 42(3), 368-387.     
    38. Park, S. J., 2009, Classification and forming processes of low relief landforms in the Korean Peninsula, Journal of the Korean Geographical Society, 44(1), 31-55.     
    39. Park, S. J. and Son, I., 2008, Discussions on the distribution and genesis of mountain ranges in the Korean Peninsular (III): Proposing a new mountain ranges map, Journal of the Korean Geographical Society, 43(3), 276-295.     
    40. Park, S. J. and Vlek., P. L. G., 2002a, Soil-landscape analysis as a tool for sustainable land resource management in developing countries, The Geographical Journal of Korea, 36, 31-49. 
    41. Park, S. J. and Vlek., P. L. G., 2002b, Environmental correlation of three-dimensional spatial soil variability: A comparison of three adaptive techniques, Geoderma, 109, 117-140. 
    42. Park, S. J., Hwang, C. S., and Vlek, P. L. G., 2005, Comparison of adaptive techniques to predict crop yield response under varying soil and land management conditions, Agricultural Systems, 85, 59-81. 
    43. Scull, P., Franklin, J., Chadwick, O. A., and McArthur, D., 2003, Predictive soil mapping-a review, Progress in Physical Geography, 27, 171-197. 
    44. Scull, P., Franklin, J., and Chadwick, O. A., 2005, The application of classification tree analysis to soil type prediction in a desert landscape, Ecological Modelling, 181, 1-15. 
    45. Soil Survey Staff, 1993, Soil Taxonomy, USDA, Washington, DC. 
    46. Sonn, Y. K., 2007, The classification of standard catchments according to soil catenary soil sequences, NIAST Symposium Handouts available from http://asis.rda.go.kr/. 
    47. Webster, R., 1968, Fundamental objections to the 7th approximation, Journal of Soil Science, 19, 354-366. 
    48. Zevenbergen, L. W. and Thorne, C. R., 1987, Quantitative analysis of land surface topography, Earth Surface Processes and Landforms, 12, 47-56. 
    49. http://asis.rda.go.kr 
  • 이 논문을 인용한 문헌 (1)

    1. Yoo, Su-Hong ; Heo, Joon ; Jung, Jae-Hoon ; Han, Su-Hee 2010. "Building a Model for Estimate the Soil Organic Carbon Using Decision Tree Algorithm" 한국지형공간정보학회지 = Journal of the korean society for geospatial information science, 18(3): 29~35     

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