Quantitative pedology to evaluate a soil profile collection from the Brazilian semi-arid regionFootnote^§

^§This article is based on a paper presented at the 5th International Soil Classification Congress, 5–7 December 2016, Bloemfontein, South Africa

References

• Arrouays D, McKenzie N, Hempel J, de Forges AR, McBratney AB (eds). 2014. GlobalSoilMap: basis of the global spatial soil information system. Boca Raton: CRC Press.
   Google Scholar
• Beaudette DE, Roudier P, O’Geen AT. 2013. Algorithms for quanti- tative pedology: a toolkit for soil scientists. Computers and Geosciences 52: 258–268. doi: 10.1016/j.cageo.2012.10.020
   Web of Science ®Google Scholar
• Beaudette DE, Roudier P, Skovlin J. 2016. Probabilistic representa- tion of genetic soil horizons. In: Hartemink AE, Minasny B (eds), Digital soil morphometrics. Cham: Springer. pp 281–293.
   Google Scholar
• Bishop TFA, McBratney AB, Laslett GM. 1999. Modelling soil attribute depth functions with equal-area quadratic smoothing splines. Geoderma 91: 27–45. doi: 10.1016/S0016-7061(99)00003-8
   Web of Science ®Google Scholar
• Hartemink AE, Hempel J, Lagacherie P, McBratney A, McKenzie N, Macmillan RA, Zhang GL. 2010. GlobalSoilMap.net – a new digital soil map of the world. In: Hartemink AE, McBratney AB, Mendonça-Santos ML (eds), Digital soil mapping. Dordrecht: Springer. pp 423–428.
   Google Scholar
• IUSS Working Group WRB. 2014. World reference base for soil resources 2014. World Soil Resources Reports 106. Rome: Food and Agriculture Organization of the United Nations.
   Google Scholar
• Lacoste M, Minasny B, McBratney AB, Micho D, Viaud V, Walter C. 2014. High-resolution 3D mapping of soil organic carbon in a heterogeneous agricultural landscape. Geoderma 213: 296–311. doi: 10.1016/j.geoderma.2013.07.002
   Web of Science ®Google Scholar
• Liu F, Rossiter DG, Song XD, Zhang GL, Yang RM, Zhao YG, Li DC, Ju B. 2016. A similarity-based method for three-dimensional prediction of soil organic matter concentration. Geoderma 263: 254–263. doi: 10.1016/j.geoderma.2015.05.013
   Web of Science ®Google Scholar
• Malone BP, McBratney AB, Minasny B. 2011. Empirical estimates of uncertainty for mapping continuous depth functions of soil attributes. Geoderma 160: 614–626. doi: 10.1016/j.geoderma.2010.11.013
   Web of Science ®Google Scholar
• Malone BP, Minasny B, McBratney AB. 2009. Mapping continuous soil depth functions in the Edgeroi District, NSW, Australia, using terrain attributes and other environmental factors. In: Purves R, Gruber S, Hengl T, Straumann R (eds), Proceedings of Geomorphometry 2009, 31 August–2 September 2009, Zürich, Switzerland. Zürich: University of Zürich. pp 90–97.
   Google Scholar
• Mishra U, Lal R, Slater B, Calhoun F, Liu D, Meirvenne MV. 2007. Predicting soil organic carbon stock using profile depth distribution functions and ordinary kriging. Soil Science Society of America Journal 73: 614–621. doi: 10.2136/sssaj2007.0410
   Web of Science ®Google Scholar
• Pinheiro HSK, Carvalho Junior W, Chagas CS, Anjos LHC, Owens PR. 2016a. Using soil depth functions to help separate Dystric from Xanthic Ferralsols in the landscape. In: Hartemink AE, Minasny B (eds), Digital soil morphometrics. Cham: Springer. pp 295–313.
   Google Scholar
• Pinheiro HSK, Chagas CS, Carvalho Junior W, Anjos LHC. 2016b. Ferramentas de pedometria para caracterização da composição granulométrica de perfis de solos hidromórficos. Pesquisa Agropecuária Brasileira 51: 1326–1338. doi: 10.1590/s0100-204x2016000900032
   Web of Science ®Google Scholar
• Ponce-Hernandez R, Marriott FHC, Beckett PHT. 1986. An improved method for reconstructing a soil-profile from analysis of a small number of samples. Journal of Soil Science 37: 455–467. doi: 10.1111/j.1365-2389.1986.tb00377.x
   Google Scholar
• PROTECS. 1988. Levantamento detalhado de solos e classes de terras para irrigação. Relatório técnico, 15 vols. Recife: PROTECS.
   Google Scholar
• R Development Core Team. 2013. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
   Google Scholar
• Roudier P, Beaudette D. 2011. Visualisation and modelling of soil data using the aqp package. In: The R User Conference, useR! 2011, August 16–18 2011, University of Warwick, Coventry, UK. Book of contributed abstracts. Coventry: University of Warwick. p 92.
   Google Scholar
• Santos HG, Jacomine PKT, Anjos LHC, Oliveira VA, Lumbreras JF, Coelho MR, Almeida JA, Cunha TJF, Oliveira JB. 2013. Sistema Brasileiro de Classificação de Solos -SiBCS (Brazilian System of Soil Classification) (3rd edn). Rio de Janeiro: Embrapa Solos.
   Google Scholar
• Souza DJ, Kosin M, Melo RC, Santos RA, Teixeira LR, Sampaio AR, Guimarães JT, Bento RV, Borges VP, Martins AAM, Arcanjo JB, Loureiro HSC, Angelim LAA. 2003. Mapa geológico do Estado da Bahia - escala 1:1.000.000. Salvador: CPRM. Versão 1.1. Programas Carta Geológica do Brasil a milionésimo e Levantamentos geológicos básicos do Brasil [in Portuguese].
   Google Scholar
• Thompson JA, Roecker S, Grunwald S, Owens PR. 2012. Digital soil mapping: interactions with and applications for hydropedology. In: Lin HS (ed.), Hydropedology: synergistic integration of pedology and hydrology. Amsterdam: Elsevier. pp 665–709.
   Google Scholar
• Veloso HP, Filho ALRR, Lima JCA. 1991. Classificação da vegetação brasileira, adaptada a um sistema universal. Rio de Janeiro: IBGE.
   Google Scholar
• Vieira RMSP, Cunha APMA, Alvalá RCS, Carvalho VC, Ferraz Neto S, Sestini MF. 2013. Land use and land cover map of a semiarid region of Brazil for meteorological and climatic models. Revista Brasileira de Meteorologia 28: 129–138. doi: 10.1590/S0102-77862013000200002
   Google Scholar
• Webster R, Oliver MA. 1990. Geostatistics for environmental scientists. Chichester: John Wiley and Sons.
   Google Scholar
• Xue Y, Sellers PJ, Kinter JL, Shukla J. 1991. A simplified biosphere model for global climate studies. Journal of Climate 4: 345–364. doi: 10.1175/1520-0442(1991)004<0345:ASBMFG>2.0.CO;2
   Web of Science ®Google Scholar
• Wiese L, Ros I, Rozanov A, Boshoff A, de Clercq W, Seifert T. 2015. An approach to soil carbon accounting and mapping using vertical distribution functions for known soil types. Geoderma 263: 264–273. doi: 10.1016/j.geoderma.2015.07.012
   Web of Science ®Google Scholar