Optimizing pedotransfer functions for estimating soil bulk density using boosted regression trees

Soil Science Society of America Journal

Volumn 73, Issue 2, 2009, Pages 485-493

  Martin, M P ^a   Lo Seen, D ^b   Boulonne, L ^a   Jolivet, C ^a   Nair, K M ^c   Bourgeon, G ^b   Arrouays, D ^a  

^a Centre de recherche d'Orléans   (France)

^b CIRAD   (France)

^c ICAR NATIONAL BUREAU OF SOIL SURVEY AND LAND USE PLANNING   (India)

Author keywords

[No Author keywords available]

Indexed keywords

HYDRAULIC CONDUCTIVITY; LAND USE; SOIL SURVEYS; SOILS; TREES (MATHEMATICS);

ADDITIVE REGRESSIONS; BOOSTED REGRESSION TREES; BULK DENSITIES; CLIMATIC CONDITIONS; COMPLEX ANALYSIS; CROSS VALIDATIONS; DATA SETS; GEOGRAPHIC AREAS; PEDOTRANSFER FUNCTIONS; ROOT-MEAN-SQUARE PREDICTIONS; SOIL BULK DENSITIES; SOIL DATABASE; SOIL PROPERTIES; SOIL TYPES;

GEOLOGIC MODELS;

BULK DENSITY; DATA SET; DATABASE; LAND USE; OPTIMIZATION; PEDOTRANSFER FUNCTION; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; SOIL PROPERTY;

EURASIA; EUROPE; FRANCE; WESTERN EUROPE;

EID: 62549098181     PISSN: 03615995     EISSN: None     Source Type: Journal    
DOI: 10.2136/sssaj2007.0241     Document Type: Article

References (45)

1. Abu-Hamdeh, N.H. 2003. Compaction and subsoiling effects on corn growth and soil bulk density. Soil Sci. Soc. Am. J. 67:1213-1219.
2. Adams, W.A. 1973. The effect of organic matter on the bulk and true densities of some uncultivated podzolic soils. J. Soil Sci. 24:10-17.
3. AFNOR. 1999. Qualité des sols. Vol. 2. AFNOR, Paris.
4. Alexander, E.B. 1980. Bulk densities of California soils in relation to other soil properties. Soil Sci. Soc. Am. J. 44:689-692.
5. Arrouays, D., and P. Pélissier. 1994. Modeling carbon storage profiles in temperate forest humic loamy soils of France. Soil Sci. 157:185-192.
6. Benites, V.M., P. Machado, E.C.C. Fidalgo, M.R. Coelho, and B.E. Madari. 2007. Pedotransfer functions for estimating soil bulk density from existing soil survey reports in Brazil. Geoderma 139:90-97.
7. Bernoux, M., D. Arrouays, C.C. Cerri, B. Volkoff, and C. Jolivet. 1998. Bulk densities of Brazilian Amazon soils related to other soil properties. Soil Sci. Soc. Am. J. 62:743-749.
8. Breiman, L., J.H. Friedman, R.A. Olshen, and C.J. Stone. 1984. Classification and regression trees. Chapman and Hall, Boca Raton, FL.
9. Bruand, A., P.N. Fernandez, and O. Duval. 2003. Use of class pedotransfer functions based on texture and bulk density of clods to generate water retention curves. Soil Use Manage. 19:232-242.
10. Carpenter, J., and J. Bithell. 2000. Bootstrap confidence intervals: When, which, what? A practical guide for medical statisticians. Stat. Med. 19:1141-1164.
11. De Vos, B., M. Van Meirvenne, P. Quataert, J. Deckers, and B. Muys. 2005. Predictive quality of pedotransfer functions for estimating bulk density of forest soils. Soil Sci. Soc. Am. J. 69:500-510.
12. Dupouey, J.L., A. Thimonier, and P. Behr. 1997. Variations de la densité des sols des hêtraies du nord-est de la France en relation avec leurs caractéristiques physico-chimiques. Etud. Gestion Sols 4:43-52.
13. Elith, J., J.R. Leathwick, and T. Hastie. 2008. A working guide to boosted regression trees. J. Anim. Ecol. 77:802-813.
14. FAO. 2006. World reference base for soil resources. World Soil Resour. Rep. 84. 2nd ed. FAO, Rome.
15. Freund, Y., and R.E. Schapire. 1996. Experiments with a new boosting algorithm. p. 148-156. In L. Saitta (ed.) Proc Int. Conf. Machine Learning, 13th, Bari, Italy. 3-6 July 1996. Morgan Kaufmann, San Francisco.
16. Friedman, J.H. 2001. Greedy function approximation: A gradient boosting machine. Ann. Stat. 29:1189-1232.
17. Friedman, J.H. 2002. Stochastic gradient boosting. Comput. Stat. Data Anal. 38:367-378.
18. Friedman, J.H., and J.J. Meulman. 2003. Multiple additive regression trees with application in epidemiology. Stat. Med. 22:1365-1381.
19. Grigal, D.F., S.L. Brovold, W.S. Nord, and L.F. Ohmann. 1989. Bulk density of surface soils and peat in the north central United States. Can. J. Soil Sci. 69:895-900.
20. Hammer, R.D. 1998. Space and time in the soil landscape: The ill-defined ecological universe. p. 105-140. In D.L. Peterson and V.T. Parker (ed.) Ecological scale: Theory and application. Complexity in Ecol. Syst. Ser. Columbia Univ. Press, New York.
21. Hancock, T., R. Put, D. Coomans, Y. Vander Heyden, and Y. Everingham. 2005. A performance comparison of modem statistical techniques for molecular descriptor selection and retention prediction in chromatographic QSRR studies. Chemom. Intell. Lab. Syst. 76:185-196.
22. Heuscher, S.A., C.C. Brandt, and P.M. Jardine. 2005. Using soil physical and chemical properties to estimate bulk density. Soil Sci. Soc. Am. J. 69:51-56.
23. Hillel, D. 1998. Environmental soil physics. Academic Press, San Diego.
24. Honeysett, J.L., and D.A. Ratkowsky. 1989. The use of ignition loss to estimate bulk density of forest soils. J. Soil Sci. 40:299-308.
25. Howard, P.J.A. 1995. The carbon content of soil and its geographical distribution in Great Britain. Soil Use Manage. 11:9-15.
26. Huntington, T.G. 1989. Carbon, organic matter, and bulk density relationships in a forested Spodosol. Soil Sci. 148:380-386.
27. Jolivet, C., D. Arrouays, L. Boulonne, C. Ratié, and N. Saby. 2006. Le Réseau de Mesures de la Qualité des Sols de France (RMQS). Etat d'avancement et premiers résultats. Etud. Gestion Sols 13:149-164.
28. Krishnan, P., G. Bourgeon, D. Lo Seen, K.M. Nair, R. Prasanna, S. Srinivas, G. Muthusankar, L. Dufy, and B.R. Ramesh. 2007. Organic carbon stock map for soils of southern India: A multifactorial approach. Curr. Sci. 93:706-710.
29. Lawrence, R., A. Bunn, S. Powell, and M. Zambon. 2004. Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis. Remote Sens. Environ. 90:331-336.
30. Leathwick, J.R., J. Elith, M.P. Francis, T. Hastie, and P. Taylor. 2006. Variation in demersal fish species richness in the oceans surrounding New Zealand: An analysis using boosted regression trees. Mar. Ecol. Prog. Ser. 321:267-281.
31. Liebens, J., and M. VanMolle. 2003. Influence of estimation procedure on soil organic carbon stock assessment in Flanders, Belgium. Soil Use Manage. 19:364-371.
32. Lilly, A., A. Nemes, W.J. Rawls, and Y.A. Pachepsky. 2008. Probabilistic approach to the identification of input variables to estimate hydraulic conductivity. Soil Sci. Soc. Am. J. 72:16-24.
33. Manrique, L.A., and C.A. Jones. 1991. Bulk density of soils in relation to physical and chemical properties. Soil Sci. Soc. Am. J. 55:476-481.
34. McBratney, A.B., B. Minasny, S.R. Cattle, and R.W. Vervoort. 2002. From pedotransfer functions to soil inference systems. Geoderma 109:41-73.
35. Neumann, A., J. Holstein, J.R. Le Gall, and E. Lepage. 2004. Measuring performance in health care: Case-mix adjustment by boosted decision trees. Artif. Intell. Med. 32:97-113.
36. Rawls, W.J. 1983. Estimating soil bulk density from particle size analysis and organic matter content. Soil Sci. 135:123-126.
37. Rawls, W.J., and D.L. Brakensiek. 1985. Prediction of soil water properties for hydrologic modeling. p. 293-299. In E. Jones and T.J. Ward (ed.) Watershed Management in the Eighties, Proc. Symp. ASCE, Denver, CO. 30 Apr.-2 May 1985. Am. Soc. Civ. Eng., New York.
38. Rawls, W.J., Y.A. Pachepsky, J.C. Ritchie, T.M. Sobecki, and H. Bloodworth. 2003. Effect of soil organic carbon on soil water retention. Geoderma 116:61-76.
39. Ridgeway, G. 2006. gbm: Generalized boosted regression models. R package version 1.5-7. Available at CRAN.R-project.org/package=gbm. Dep. of Stat. and Math., Wirtschaftsuniversität, Wien, Germany.
40. Saby, N., D. Arrouays, L. Boulonne, C. Jolivet, and A. Pochot. 2006. Geostatistical assessment of Pb in soil around Paris, France. Sci. Total Environ. 367:212-221.
41. Schnebelen, N., B. Nicoullaud, H. Bourennane, A. Couturier, B. Verbeque, C. Revalier, A. Bruand, and E. Ledoux. 2004. The STICS model to predict nitrate leaching following agricultural practices. Agronomie 24:423-435.
42. Stewart, V.I., W.A. Adams, and H.H. Abdulla. 1970. Quantitative pedological studies on soils derived from Silurian mudstones: II. The relationship between stone content and the apparent density of the fine earth. J. Soil Sci. 21:248-255.
43. Tranter, G., B. Minasny, A.B. McBratney, B. Murphy, N.J. McKenzie, M. Grundy, and D. Brough. 2007. Building and testing conceptual and empirical models for predicting soil bulk density. Soil Use Manage. 23:437-443.
44. Vincent, K.R., and O.A. Chadwick. 1994. Synthesizing bulk density for soils with abundant rock fragments. Soil Sci. Soc. Am. J. 58:455-464.
45. Wösten, J.H.M., Y.A. Pachepsky, and W.J. Rawls. 2001. Pedotransfer functions: Bridging the gap between available basic soil data and missing soil hydraulic characteristics. J. Hydrol. 251:123-150.