title: Three-Dimensional Mapping of Soil Organic Carbon by Combining Kriging Method with Profile Depth Function.
abstract: Understanding spatial variation of soil organic carbon (SOC) in three-dimensional direction is helpful for land use management. Due to the effect of profile depths and soil texture on vertical distribution of SOC, the stationary assumption for SOC cannot be met in the vertical direction. Therefore the three-dimensional (3D) ordinary kriging technique cannot be directly used to map the distribution of SOC at a regional scale. The objectives of this study were to map the 3D distribution of SOC at a regional scale by combining kriging method with the profile depth function of SOC (KPDF), and to explore the effects of soil texture and land use type on vertical distribution of SOC in a fluvial plain. A total of 605 samples were collected from 121 soil profiles (0.0 to 1.0 m, 0.20 m increment) in Quzhou County, China and SOC contents were determined for each soil sample. The KPDF method was used to obtain the 3D map of SOC at the county scale. The results showed that the exponential equation well described the vertical distribution of mean values of the SOC contents. The coefficients of determination, root mean squared error and mean prediction error between the measured and the predicted SOC contents were 0.52, 1.82 and -0.24 g kg(-1) respectively, suggesting that the KPDF method could be used to produce a 3D map of SOC content. The surface SOC contents were high in the mid-west and south regions, and low values lay in the southeast corner. The SOC contents showed significant positive correlations between the five different depths and the correlations of SOC contents were larger in adjacent layers than in non-adjacent layers. Soil texture and land use type had significant effects on the spatial distribution of SOC. The influence of land use type was more important than that of soil texture in the surface soil, and soil texture played a more important role in influencing the SOC levels for 0.2-0.4 m layer.
authors.affiliation: Department of Soil and Water Sciences, China Agricultural University, No 2, Yuan Ming Yuan Xi Lu, Beijing 100193, China.
authors.forename: Chong
authors.initials: C
authors.lastname: Chen
authors.affiliation: Department of Soil and Water Sciences, China Agricultural University, No 2, Yuan Ming Yuan Xi Lu, Beijing 100193, China.
authors.forename: Kelin
authors.initials: K
authors.lastname: Hu
authors.affiliation: Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Science, Haikou 571101, China; Department of Plant and Animal Sciences, Nova Scotia Agricultural College, Truro, Nova Scotia, B2N 5E3 Canada.
authors.forename: Hong
authors.initials: H
authors.lastname: Li
authors.affiliation: Department of Soil and Water Sciences, China Agricultural University, No 2, Yuan Ming Yuan Xi Lu, Beijing 100193, China.
authors.forename: Anping
authors.initials: A
authors.lastname: Yun
authors.affiliation: Department of Soil and Water Sciences, China Agricultural University, No 2, Yuan Ming Yuan Xi Lu, Beijing 100193, China.
authors.forename: Baoguo
authors.initials: B
authors.lastname: Li
mesh_terms: D000465:Algorithms; D002244:Carbon / Q000032:analysis*; D062305:Geographic Mapping; D009930:Organic Chemicals / Q000032:analysis*; D012987:Soil / Q000737:chemistry*; D062206:Spatial Analysis
chemical_list: D009930:Organic Chemicals; D012987:Soil; D002244:Carbon