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[1]ZHANG Huan,GAO Xiaohong.Analysis of Spatial Variability and Mapping of Soil Organic Matter Contents in Complex Terrain Areas[J].Research of Soil and Water Conservation,2020,27(05):93-100.

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Analysis of Spatial Variability and Mapping of Soil Organic Matter Contents in Complex Terrain Areas

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 27 Number of periods: 2020 05 Page number: 93-100 Column: 目次 Public date: 2020-08-20

Title:: Analysis of Spatial Variability and Mapping of Soil Organic Matter Contents in Complex Terrain Areas

Author(s):: ZHANG Huan¹, GAO Xiaohong^1,2,3,4; (1.College of Geographical Sciences, Qinghai Normal University, Xining 810000, China; 2.Key Laboratory of Physical Geography and Environmental Process in Qinghai Province, Xining 810008, China; 3.Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, ministry of Education, Xining 810008, China; 4.Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing Normal University, Xining 810008, China)

Keywords:: soil organic matter; Cokriging; geographic weighted regression Kriging; residual; land use type; complex terrain region; Huangshui River Basin

CLC:: S159

DOI:: -

Abstract:: Digital soil mapping is a new and effective method to express the spatial distribution of soil, which has become a research hotspot in soil science. To explore the spatial variability characteristics of soil organic matter(SOM)and mapping it in complex topographic areas can provide valuable data for land use planning, and precision agriculture and ecological environment simulation. In complex terrain area, the large terrain relief, the variety of landform types and the difficulty in obtaining soil sampling points bring some difficulties to the mapping of soil properties, and makes it difficult to use the obtained spatial distribution maps for practical use. In this paper, soil samples of 253 at the depth of 0～20 m from the Huangshui River Basin in 2016 were obtained, four kind interpolation methods including the COK, mean and median modified COK and GWRK were studied and compared for SOM contents combining GIS with Geostatistics, and the accuracies of the four methods were evaluated respectively. The results showed that:(1)the four interpolation methods had better explanatory ability for SOM, and could be used for mapping SOM in complex topographic areas;(2)the accuracies of the mean and median modified COK method and the GWRK model were 0.905, 0.923 and 0.909, respectively, in which the median modified COK method had the highest accuracy, while the COK interpolation method without considering land use types had the lowest accuracy of 0.883;(3)the variability coefficient of SOM was 90.90% with moderate spatial variability, which was mainly affected by soil parent materials, soil type, management activities and fertilization;(4)the prediction maps of four methods indicated that the high SOM contents of the study area mainly distributed in the northwest of Datong County and the south of Haiyan County, while the low SOM mainly distributed in the southeast of minhe County. On the whole, the SOM content distribution of the study area was at a medium level, which was conducive to agricultural development.

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Last Update: 2020-08-25