Application of categorical information in the spatial prediction of soil organic carbon in the red soil area of China

References

• Bhupinderpal , S , Hedley , MJ , Saggar , S and Francis , GS . 2004 . Chemical fractionation to characterize changes in sulphur and carbon in soil caused by management . Eur. J. Soil Sci. , 55 : 79 – 90 .
   Google Scholar
• Chai , XR , Shen , CY , Yuan , XY and Huang , YF . 2008 . Spatial prediction of soil organic matter in the presence of different external trends with REML-EBLUP . Geoderma , 148 : 159 – 166 .
   Google Scholar
• Duffera , M , White , JG and Weisz , R . 2007 . Spatial variability of Southeastern US Coastal Plain soil physical properties: implications for site-specific management . Geoderma , 137 : 327 – 339 .
   Web of Science ®Google Scholar
• Huang , B , Sun , WX Zhao , YC . 2007 . Temporal and spatial variability of soil organic matter and total nitrogen in an agricultural ecosystem as affected by farming practices . Geoderma , 139 : 336 – 345 .
   Web of Science ®Google Scholar
• Jung , WK , Kitchen , NR , Sudduth , KA and Kremer , RJ . 2008 . Contrasting grain crop and grassland management effects on soil quality properties for a north-central Missouri claypan soil landscape . Soil Sci. Plant Nutr. , 54 : 960 – 971 .
   Web of Science ®Google Scholar
• Kadono , A , Funakawa , S and Kosaki , T . 2009 . Factors controlling potentially mineralizable and recalcitrant soil organic matter in humid Asia . Soil Sci. Plant Nutr. , 55 : 243 – 251 .
   Web of Science ®Google Scholar
• Kerry , R and Oliver , MA . 2007 . Comparing sampling needs for variograms of soil properties computed by the method of moments and residual maximum likelihood . Geoderma , 140 : 383 – 396 .
   Web of Science ®Google Scholar
• Kerry , R and Oliver , MA . 2008 . Determining nugget: sill ratios of standardized variograms from aerial photographs to krige sparse soil data . Precis. Agric. , 9 : 33 – 56 .
   Google Scholar
• Lal , R and Kimble , JM . 1997 . Conservation tillage for carbon sequestration . Nutr. Cycl. Agroecosys. , 49 : 243 – 253 .
   Web of Science ®Google Scholar
• Gamma Design Software . 1994 . “ GS1 for Windows v. 5.3.2 ” . Plainwell, MI : Gamma Design Software .
   Google Scholar
• Conant , RT and Paustian , K . 2002 . Spatial variability of soil organic carbon in grasslands: implications for detecting change at different scales . Environ. Pollut. , 116 : S127 – S135 .
   PubMed Web of Science ®Google Scholar
• Wang , YQ , Zhang , XC and Huang , CQ . 2009 . Spatial variability of soil total nitrogen and soil total phosphorus under different land uses in a small watershed on the Loess Plateau, China . Geoderma , 150 : 141 – 149 .
   Web of Science ®Google Scholar
• Shi , XZ , Xu , SX Yu , DS . 2009 . Cross-reference for relating Genetic Soil Classification of China with WRB at different scales . Geoderma , doi:10.1016/j.geoderma.2009.12.017
   Google Scholar
• Lark , RM and Webster , R . 2006 . Geostatistical mapping of geomorphic variables in the presence of trend . Earth Surf. Proc. Land. , 31 : 862 – 874 .
   Web of Science ®Google Scholar
• Li , ZP , Zhang , TL and Chen , BY . 2006 . Changes of organic carbon and nutrient contents in highly productive paddy soils in Yujiang County of Jiangxi province . Scientia Agricultura Sinica , 39 : 324 – 330 . (in Chinese)
   Google Scholar
• Liu , TL , Juang , KW and Lee , DY . 2006a . Interpolating soil properties using kriging combined with categorical information of soil maps . Soil Sci. Soc. Am. J. , 70 : 1200 – 1209 .
   Web of Science ®Google Scholar
• Liu , DW , Wang , ZM Zhang , B . 2006b . Spatial distribution of soil organic carbon and analysis of related factors in croplands of the black soil region, Northeast China . Agric. Ecosyst. Environ. , 113 : 73 – 81 .
   Web of Science ®Google Scholar
• Matsumoto , N , Paisancharoen , K and Hakamata , T . 2008 . Carbon balance in maize fields under cattle manure application and no-tillage cultivation in Northeast Thailand . Soil Sci. Plant Nutr. , 54 : 277 – 288 .
   Web of Science ®Google Scholar
• Meul , M and Van Meirvenne , M . 2003 . Kriging soil texture under different types of nonstationarity . Geoderma , 112 : 217 – 233 .
   Web of Science ®Google Scholar
• Minasny , B and McBratney , AB . 2007 . Spatial prediction of soil properties using EBLUP with the Matern covariance function . Geoderma , 140 : 324 – 336 .
   Web of Science ®Google Scholar
• Momtaz , HR , Jafarzadeh , AA Torabi , H . 2009 . An assessment of the variation in soil properties within and between landform in the Amol region, Iran . Geoderma , 149 : 10 – 18 .
   Web of Science ®Google Scholar
• Mueller , TG and Pierce , FJ . 2003 . Soil carbon maps: enhancing spatial estimates with simple terrain attributes at multiple scales . Soil Sci. Soc. Am. J. , 67 : 258 – 267 .
   Web of Science ®Google Scholar
• Navarrete , IA and Tsutsuki , K . 2008 . Land-use impact on soil carbon, nitrogen, neutral sugar composition and related chemical properties in a degraded Ultisol in Leyte, Philippines . Soil Sci. Plant Nutr. , 54 : 321 – 331 .
   Web of Science ®Google Scholar
• Nelson , DW and Sommers , LE . 1982 . “ Total carbon, organic carbon, and organic matter ” . In Methods of Soil Analysis, Part 2-Chemical and Microbiological Properties , Edited by: Page , AL , Miller , RH and Keeney , DR . 539 – 594 . Madison, WI : ASA-SSSA .
   Google Scholar
• Post , WM and Kwon , KC . 2000 . Soil carbon sequestration and land-use change: processes and potential . Glob Chang Biol. , 6 : 317 – 327 .
   Web of Science ®Google Scholar
• Ruth , B and Lennartz , B . 2008 . Spatial variability of soil properties and rice yield along two catenas in southeast China . Pedosphere , 18 : 409 – 420 .
   Web of Science ®Google Scholar
• Schulp , CJE and Veldkamp , A . 2008 . Long-term landscape - land use interactions as explaining factor for soil organic matter variability in Dutch agricultural landscapes . Geoderma , 146 : 457 – 465 .
   Google Scholar
• Soil Survey Office of Yujiang County . 1986 . Soil species of Yujiang County , 23 – 31 . China Agriculture Press . (in Chinese)
   Google Scholar
• Somaratne , S , Seneviratne , G and Coomaraswamy , U . 2005 . Prediction of soil organic carbon across different land-use patterns: a neural network approach . Soil Sci. Soc. Am. J. , 69 : 1580 – 1589 .
   Web of Science ®Google Scholar
• Sumfleth , K and Duttmann , R . 2008 . Prediction of soil property distribution in paddy soil landscapes using terrain data and satellite information as indicators . Ecol Indic , 8 : 485 – 501 .
   Web of Science ®Google Scholar
• Terra , JA , Shaw , JN , Reeves , DW , Raper , RL , van Santen , E and Mask , PL . 2004 . Soil carbon relationships with terrain attributes, electrical conductivity, and a soil survey in a coastal plain landscape . Soil Sci. , 169 : 819 – 831 .
   Web of Science ®Google Scholar
• Wei , JB , Xiao , DN , Zhang , XY and Li , XY . 2008 . Topography and land use effects on the spatial variation of soil organic carbon: a case study in a typical small watershed of the black soil region in northeast China . Eur. J. Soil Sci. , 41 : 39 – 47 .
   Google Scholar
• Zhang , HM , Wang , BR , Xu , MG and Fan , TL . 2009 . Crop yield and soil responses to long-term fertilization on a red soil in Southern China . Pedosphere , 19 : 199 – 207 .
   Web of Science ®Google Scholar
• Zhao , YC , Xu , XH Huang , B . 2007 . Using robust kriging and sequential Gaussian simulation to delineate the copper- and lead-contaminated areas of a rapidly industrialized city in Yangtze River Delta, China . Environ. Geol. , 52 : 1423 – 1433 .
   Google Scholar