Deriving World Reference Base Reference Soil Groups from the prospective Global Soil Map product - A case study on major soil types of Africa

Geoderma

Volumn 263, Issue , 2015, Pages 226-233

  Láng, Vince ^a   Fuchs, Márta ^a   Szegi, Tamás ^a   Csorba, Ádám ^a   Michéli, Erika ^a  

^a SZENT ISTVÁN UNIVERSITY   (Hungary)

Author keywords

Global Soil Map; Random Forest; Soil classification; Taxonomic distance; World Reference Base

Indexed keywords

CARBON; CLASSIFICATION (OF INFORMATION); DECISION TREES; LAND USE; NUMERICAL METHODS; ORGANIC CARBON; POPULATION STATISTICS; SOIL SURVEYS; SOILS;

RANDOM FORESTS; SOIL CLASSIFICATION; SOIL MAPS; TAXONOMIC DISTANCE; WORLD REFERENCE BASE;

SOIL TESTING;

ACCURACY ASSESSMENT; DIGITAL MAPPING; FUTURE PROSPECT; LAND USE; MODEL VALIDATION; ORGANIC CARBON; SOIL CLASSIFICATION; SOIL DEPTH; SOIL PROFILE; SOIL TYPE;

AFRICA;

EID: 84946478758     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2015.07.005     Document Type: Article

References (33)

1. GlobalSoilMap: Basis of the Global Spatial Soil Information System 2014, Taylor and Francis, (494pp.). D. Arrouays, N. McKenzie, J. Hempel, A.R. de Forges, A.B. McBratney (Eds.).
2. Batjes N.H. ISRIC-WISE Harmonized Global Soil Profile Dataset (Ver. 3.1). Report 2008/2, ISRIC - World Soil Information, Wageningen 2008.
3. Batjes N.H. Harmonized soil profile data for applications at global and continental scales: updates to the WISE database. Soil Use Manag. 2009, 25:124-127.
4. Berthold M.R., Cebron N., Dill F., Gabriel T.R., Kotter T., Meinl T., Ohl P., Sieb C., Thiel K., Wisvedel B. KNIME: the Konstanz information miner. GfKl, Studies in Classification, Data Analysis, and Knowledge Organization 2007, 319-326. Springer. C. Preisach (Ed.).
5. Bidwell O.W., Hole F.D. An experiment in the numerical classification of some Kansas soils. Soil Sci. Soc. Am. Proc. 1964, 26:263-268.
6. Bidwell O.W., Hole F.D. Numerical taxonomy and soil classification. Soil Sci. 1964, 97:58-62.
7. Breiman L. Random Forests. Mach. Learn. 2001, 45. (15-32pp.).
8. Brungard C.W., Boettinger J.L., Duniwa M.C., Wills S.A., Edwards T.C. Machine learning for predicting soil classes in three semi-arid landscapes. Geoderma 2015, 239-240. (68-83pp.).
9. Burt R. Soil survey laboratory methods manual. Soil Surv. Investigations Rep. 42, version 4.0 2004, U.S. Gov. Print. Office, Washington, DC.
10. Catmull E., Rom R. A class of local interpolating splines. Comput. Aided Geom. Des. 1974, 317-326.
11. Cutler A., Stevens J.R. Random Forests for microarrays. Methods Enzymol. 2006, 411. (422-432pp.).
12. FAO/IIASA/ISRIC/ISS-CAS/JRC Harmonized World Soil Database (version 1.1) 2009, FAO, Rome, Italy and IIASA, Laxenburg, Austria.
13. FAO-UNESCO, 1974. Soil Map of the World 1:5000000. Volume I. Legend. UNESCO, Paris.
14. FAO-UNESCO Soil map of the world. Revised legend. World Soil Resources Report 60 1988, FAO, Rome.
15. Fuchs M., Waltner I., Szegi T., Láng V., Michéli E. Taxonomic distances of soil types in Hungary based on soil-forming processes. Agrokém. Talajt. 2011, 60(1). (33-44pp. (in Hungarian)).
16. GlobalSoilMap.net Specifications Version 1 GlobalSoilMap.net products Release 2.1 (downloaded: 07. 01. 13). http://www.globalsoilmap.net/system/files/GlobalSoilMap_net_specifications_v2_0_edited_draft_Sept_2011_RAM_V12.pdf.
17. Hartemink A., Minasny B. Towards digital soil morphometrics. Geoderma 2014, 230(2014):305-317.
18. Hengl T., de Jesus J.M., MacMillan R.A., Batjes N.H., Heuvelink G.B.M., Ribeiro E., Samuel-Rosa A., Kempen B., Leenaars J.G.B., Walsh M.G., Gonzalez M.R. SoilGrids1km - global soil information based on automated mapping. PLoS ONE 2014, 9(8):e105992. 10.1371/journal.pone.0105992.
19. Heung B., Bulmer C.E., Schmidt M.G. Predictive soil parent material mapping at a regional-scale: a random forest approach. Geoderma 2014, 214-215:141-154.
20. Hole F.D., Hironaka M. An experiment in ordination of some soil profiles. Soil Sci. Soc. Am. Proc. 1960, 24:309-312.
21. IUSS Working Group WRB World reference base for soil resources. World Soil Resources Reports No. 103 2006, FAO, Rome.
22. IUSS WRB Working Group, 2010. WRB database, unpublished, provided by Otto Spaargaren, 11.26.12.
23. Soil atlas of Africa 2013, European Commission, Publications Office of the European Union, Luxembourg, (176pp.). A. Jones, H. Breuning-Madsen, M. Brossard, A. Dampha, J. Deckers, O. Dewitte, T. Gallali, S. Hallett, R. Jones, M. Kilasara, P. Le Roux, E. Micheli, L. Montanarella, O. Spaargaren, L. Thiombiano, E. Van Ranst, M. Yemefack, R. Zougmore (Eds.).
24. Láng V., Fuchs M., Watner I., Michéli E. Soil taxonomic distance, a tool for correlation: as exemplified by the Hungarian brown forest soils and related WRB reference soil groups. Geoderma 2013, 192:269-276.
25. Minasny B., McBratney A.B. Incorporating taxonomic distance into spatial prediction and digital mapping of soil classes. Geoderma 2007, 142:285-293.
26. Minasny B., McBratney A.B., Hartemink A.E. Global pedodiversity, taxonomic distance, and the world reference base. Geoderma 2009, 155:132-139.
27. Nauman T.W., Thompson J.A. Semi-automated disaggregation of conventional soil maps using knowledge driven data mining and classification trees. Geoderma 2014, 213:385-399. 10.1016/j.geoderma.2013.08.024.
28. Pahlavan Rad M.R., Toomanian N., Khormali F., Brungard C.W., Komaki C.B., Bogaert P. Updating soil survey maps using random forest and conditioned Latin hypercube sampling in the loess derived soils of northern Iran. Geoderma 2014, 232-234:97-106.
29. R Development Core Team R: a Language and Environment for Statistical Computing 2013, R Foundation for Statistical Computing, Vienna, Austria, (URL http://www.R-project.org).
30. Sanchez P.A., Ahamed S., Carre F., Hartemink A.E., Hempel J., Huising J., Lagacherie P., McBratney A.B., McKenzie N.J., de Mendonca-Santos M.L., Minasny B., Montanarella L., Okoth P., Palm C.A., Sachs J.D., Shepherd K.D., Vagen T.-G., Vanlauwe B., Walsh M.G., Winowiecki L.A., Zhang G.-L. Digital soil map of the world. Science 2009, 325(5941):680-681.
31. Sarkar P.K., Bidwell O.W., Marcus L.F. Selection of characteristics for numerical classification of soils. Soil Sci. Soc. Am. Proc. 1966, 30:269-272.
32. Soil Survey Division Staff Soil survey manual. Soil Conservation Service. U.S. Department of Agriculture Handbook 1993, 18.
33. van Huyssteen C.W., Michéli E., Fuchs M., Waltner I. Taxonomic distance between South African diagnostic horizons and the world reference base diagnostics. Catena 2014, 113:276-280.