Can topographical and yield data substantially improve total soil carbon mapping by regression kriging?

Agronomy Journal

Volumn 99, Issue 1, 2007, Pages 12-17

  Kravchenko, A N ^a   Robertson, G P ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON; DATA REDUCTION; INFORMATION RETRIEVAL; MAPPING; REGRESSION ANALYSIS;

SOIL CARBON MAPPING; YIELD DATA;

SOILS;

EID: 33846229686     PISSN: 00021962     EISSN: None     Source Type: Journal    
DOI: 10.2134/agronj2005.0251     Document Type: Article

References (32)

1. Baxter, S.J., and M.A. Oliver. 2005. The spatial prediction of soil mineral N and potentially available N using elevation. Geoderma 128:325-339.
2. Bishop, T.F.A., and A.B. McBratney. 2001. A comparison of prediction methods for the creation of field-extent soil property maps. Geoderma 103:149-160.
3. Blackmore, S. 2000. The interpretation of trends from multiple yield maps. Comput. Electron. Agric. 26:37-51.
4. Cox, M.S., P.D. Gerard, M.C. Wardlaw, and M.J. Abshire. 2003. Variability of selected soil properties and their relationships with soybean yield. Soil Sci. Soc. Am. J. 67:1296-1302.
5. Cressie, N. 1985. Fitting variogram models by weighted least squares. Math. Geol. 17:563-586.
6. Deutsch, C.V., and A.G. Journel. 1998. Geostatistical software library and user's guide. Oxford Univ. Press, New York.
7. Drummond, S., and K. Sudduth. 2003. From sensors to information: Cleaning yield monitor data. In Proc. InfoAg 2003 Conf., Indianapolis, IN. 29 July-1 Aug. Potash and Phosphate Inst., Norcross, GA.
8. Economic Research Service. 2006. Agricultural resources and environmental indicators. Ch. 4.7: Information technology management. Available at www.ers.usda.gov/publications/arei/eib16/Chapter4/4.7/ (verified 28 Sept. 2006). USDA-ERS, Washington, DC.
9. Environmental Systems Research Institute. 2004. ArcGIS Spatial Analyst. ESRI, Redlands, CA.
10. Flowers, M., R. Weisz. and J.G. White. 2005. Yield-based management zones and grid sampling strategies: Describing soil test and nutrient variability. Agron. J. 97:968-982.
11. Gessler, P.E., O.A. Chadwick, F. Chamran, L. Althouse, and K. Holmes. 2000. Modeling soil-landscape and ecosystem properties using terrain attributes. Soil Sci. Soc. Am. J. 64:2046-2056.
12. Goovaerts, P. 1997. Geostatistics for natural resources evaluation. Oxford Univ. Press, New York.
13. Hengl, T., G.B.M. Heuvelink, and A. Stein. 2004. A generic framework for spatial prediction of soil variables based on regression kriging. Geoderma 120:75-93.
14. Isaaks, E.H., and R.M. Srivastava. 1989. Applied geostatistics. Oxford Univ. Press, New York.
15. Jiang, P., and K.D. Thelen. 2004. Effect of soil and topographic properties on crop yield in a north-central corn-soybean cropping system. Agron. J. 96:252-258.
16. Kaspar, T.C., D.J. Pulido, T.E. Fenton, T.S. Colvin, D.L. Karlen, D.B. Jaynes, and D.W. Meek. 2004. Relationship of corn and soybean yield to soil and terrain properties. Agron. J. 96:700-709.
17. Kravchenko, A.N., and D.G. Bullock. 2000. Correlation of corn and soybean grain yield with topography and soil properties. Agron. J. 92:75-83.
18. Kravchenko, A.N., G.P. Robertson, X. Hao, and D.G. Bullock. 2006. Management practice effects on surface total carbon: Differences in spatial variability patterns. Agron. J. 98:1559-1568.
19. Kravchenko, A.N., G.P. Robertson, K.D. Thelen, and R.R. Harwood. 2005. Management, topographical, and weather effects on spatial variability of crop grain yields. Agron. J. 97:514-523.
20. Lark, R.M., and J.V. Stafford. 1997. Classification as a first step in the interpretation of temporal and spatial variation of crop yield. Ann. Appl. Biol. 130:111-121.
21. Lark, R.M., and J.V. Stafford. 1998. Information on within-field variability from sequences of yield maps: Multivariate classification as a first step of interpretation. Nutr. Cycling Agroecosyst. 50:277-281.
22. McBratney, A.B., M.L. Mendonca Santos, and B. Minasny. 2003. On digital soil mapping. Geoderma 117:3-52.
23. Mokma, D.L., and J.A. Doolittle. 1993. Mapping some loamy Alfisols in southwestern Michigan using ground-penetrating radar. Soil Surv. Horiz. 34:71-77.
24. Moore, I.D., P.E. Gessler, G.A. Nielsen, and G.A. Peterson. 1993. Soil attribute prediction using terrain analysis. Soil Sci. Soc. Am. J. 57:443-452.
25. Mueller, T.G., and F.J. Pierce. 2003. Enhancing spatial estimates of soil carbon with terrain attributes. Soil Sci. Soc. Am. J. 67:258-267.
26. Odeh, I.O.A., A.B. McBratney, and D.J. Chittleborough. 1995. Further results on prediction of soil properties from terrain attributes: Heterotropic cokriging and regression kriging. Geoderma 67:215-226.
27. Robertson, G.P., K.M. Klingensmith, M.J. Klug, E.A. Paul, J.C. Crum, and B.G. Ellis. 1997. Soil resources, microbial activity, and primary production across an agricultural ecosystem. Ecol. Appl. 7:158-170.
28. SAS Institute. 2001. SAS user's guide. Version 8.2. SAS Inst., Cary, NC.
29. Simbahan, G.C., A. Dobermann, P. Goovaerts, J. Ping, and M.L. Haddix. 2006. Fine-resolution mapping of soil organic carbon based on multivariate secondary data. Geoderma 132:417-489.
30. Terra, J.A., J.N. Shaw, D.W. Reeves, R.L. Raper, E. van Santen, and P.L. Mask. 2004. Soil carbon relationships with terrain attributes, electrical conductivity, and a soil survey in a Coastal Plain landscape. Soil Sci. 169:819-831.
31. Walter, C., R.A. Viscarra Rossel, and A.B. McBratney. 2003. Spatiotemporal simulation of the field-scale evolution of organic carbon over the landscape. Soil Sci. Soc. Am. J. 67:1477-1486.
32. Webster, R., and M.A. Oliver. 2001. Geostatistics for environmental scientists. John Wiley & Sons, Chichester, UK.