Abstract
Spatial assessment of soil erosion is essential for the adaptation of agricultural practices and monitoring of soil losses. In this sense, this study aims to assess the efficiency of magnetic susceptibility (MS) as a predictor of soil erodibility factors (K for USLE model; Ki and Kr for WEPP model) fora detailed mapping of Oxisols with different iron contents in northeastern São Paulo State, Brazil. This study was carried out in an area of 380 hectares under sugarcane cultivation in São Paulo State. Soil samples were collected in a sampling grid (150) and in a transect (86) and physical and chemical analyses and calculations of the erodibility factors/parameters K, Ki, and Kr were performed. Pedotransfer functions (PTFs) were calibrated using simple linear regression analysis to predict the factors/parameters K and Ki using MS as a predictor variable. The observed values of MS and the predicted values of the factors/parameters K, Ki, and Kr were submitted to geostatistical analysis for constructing maps. Magnetic susceptibility can be used as a predictor of erodibility factors (K for USLE model; Ki and Kr for WEPP model) for Oxisols with total iron content ranging from 1 to 20% Fe2O3, with a precision of up to 60% and an accuracy of up to 85%. The results can guide future studies on water erosion in a tropical environment using magnetic soil data as an environmental covariate in the modeling process for large areas.
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References
Abu-Hamdeh NH, Ismail SM, Al-Solaimani SG, Hatamleh RI (2018) Runoff and erosion as affected by tillage system and polyacrylamide in two sandy loam soils differing in silt and clay contents in semi-arid regions. Soil Environ 37:11–20. https://doi.org/10.25252/SE/18/51390
Alekseeva TV, Sokolowska Z, Hajnos M, Alekseev AO, Kalinin PI (2009) Water stability of aggregates in subtropical and tropical soils (Georgia and China) and its relationships with the mineralogy and chemical properties. Eurasian Soil Sci 42:415–425. https://doi.org/10.1134/S1064229309040085
Alleoni LRF, Camargo AO (1995) Óxidos de ferro e de alumínio e a mineralogia da fração argila deferrificada de Latossolos Ácricos. Sci Agric 52:416–421. https://doi.org/10.1590/S0103-90161995000300002
Aragão R, Santana GR, da Costa CEFF, Cruz MAS, Figueiredo EE, Srinivasan VS (2013) Chuvas intensas para o estado de Sergipe com base em dados desagregados de chuva diária. Rev Bras Eng Agríc Ambient 17:243–252. https://doi.org/10.1590/S1415-43662013000300001
Barrios MR, Marques JRJ, Panosso AR, Siqueira DS, Scala JRNL (2012) Magnetic susceptibility to identify land scape segments on a detailed scale in the region of Jaboticabal, São Paulo, Brazil. R Bras Ci Solo 36:1073–1082. https://doi.org/10.1590/S0100-06832012000400002
Bartington. Operation manual for MS2 magnetic susceptibility system. http://www.bartington.com/Literaturepdf/Operation%20Manuals/om0408%20MS2.pdf. Accessed 24 Jan 2013
Bastos RS, Sá Mendonça E, Alvarez V, Corrêa VH (2005) M.M. Formação e estabilização de agregados do solo decorrentes da adição de compostos orgânicos com diferentes características hidrofóbicas. R Bras Ci Solo 29:11–20
Bellezoni RA, Iwai CK, Elis VR, Paganini WS, Hamada J (2014) Small-scale landfills: impacts on groundwater and soil. Environ Earth Sci 71:2429–2439. https://doi.org/10.1007/s12665-013-2643-1
Bezerra AS, Cantalice JRB (2006) Erosão entre sulcos em diferentes condições de cobertura do solo sob cultivo de cana-de-açúcar. R Bras Ci Solo 30:565–573. https://doi.org/10.1590/S0100-06832006000300016
Boschi RS, Bocca FF, Lopes-Assad MLRC, Assad ED (2018) How accurate are pedotransfer functions for bulk density for Brazilian soils? Sci Agr 75:70–78. https://doi.org/10.1590/1678-992X-2016-0357
Budiman M, McBratney AB, Mendonça-Santos ML, Santos HG (2003) Revisão sobre funções de pedotransferência (PTFs) e novos métodos de predição de classes e atributos do Solo. Embrapa Solos, Rio de Janeiro
Camargo OA, Moniz AC, Jorge JA, Valadares JMAS (1986) Métodos de análise química, mineralógica e física de solos do IAC. InstitutoAgronomico de Campinas, Campinas
Camargo LA, Marques J, Pereira GT, Alleoni LRF, Bahia ASRS, Teixeira DDB (2016) Pedotransfer functions to assess adsorbed phosphate using iron oxide content and magnetic susceptibility in an Oxisol. Soil Use Manag 32(2):172–182. https://doi.org/10.1111/sum.12255
Cambardella CA, Moorman TB, Novak JM, Parkin TB, Karlen DL, Turco RF, Konopka AE (1994) Field-scale variability of soil properties in Central Iowa Soils. Soil Sci Soc Am J 58:1501–1511. https://doi.org/10.2136/sssaj1994.03615995005800050033x
Cerquetani GE, Martins Filho MV (2006) Rotina computacional e equação simplificada para modelar transporte de sedimentos num Latossolo Vermelho Distrófico. Eng Agríc 26:617–626. https://doi.org/10.1590/S0100-69162006000200032
Correa MM, Ker JC, Barrón V, Fontes MPF, Torret J, Curi N (2008) Caracterização de óxidos de ferro de solos do ambiente tabuleiros costeiro. R Bras Ci Solo 32:1017–1031. https://doi.org/10.1590/S0100-06832008000300011
Corrêa JC, Bull LT, Crusciol CAC, Moraes MH (2009) Alteração de atributos físicos em latossolo com aplicação superficial de escória de aciaria, lama cal, lodos de esgoto e calcário. R Bras Ci Solo 33:263–272. https://doi.org/10.1590/S0100-06832009000200004
Cortez LA, Marques J Jr, Peluco RG, Teixeira DB, Siqueira DS (2011) Suscetibilidade magnética para identificação de áreas de manejo específico em citricultura. Energ Agric 26:60–79
Costa ACS, Bigham JM, Rhoton FE, Traina SJ (1999) Quantification and characterization of maghemite in soils derived from volcanic rocks in southern Brazil. Clays Clay Miner 4:466–473. https://doi.org/10.1346/CCMN.1999.0470408
Cprm-Companhia de Pesquisa de Recursos Minerais (2012) Serviço Geológico do Brasil. Geobank: mapa geológico do Estado de São Paulo—escala 1:750.000. http://geobank.sa.cprm.gov.br/pls/publico/Projetos.Projeto.Cadastro?p_cod_. Accessed 1 Oct 2012
Dearing JA (1994) Environmental magnetic susceptibility. Using the Bartington MS2 system. British Library, England
Denardin JE (1990) Erodibilidade do solo estimado por meio de parâmetros físicos e químicos. Thesis. Escola Superior de Agricultura Luis de Queiroz, Universidade de São Paulo
Donagema GK, Campos DVB de, Calderano SB, Teixeira WG, Viana JHM (2011a) Manual de métodos de análise de solos. Embrapa Solos, Rio de Janeiro
Donagema GK, Campos DVB, Calderano SB, Teixeira WG, Viana JHM (2011b) Manual de métodos de análise de solo. Embrapa Solos, Rio de Janeiro
Ferreira MM, Fernandes B, Curi N (1999) Mineralogia da fração argila e estrutura de Latossolos da região sudeste do Brasil. R Bras Ci Solo 23:507–514. https://doi.org/10.1590/S0100-06831999000300003
Ferreira PF, Azevedo AC, Dalmolim RSD, Girelli D (2007) Carbono orgânico, óxidos de ferro e distribuição de agregados em dois solos derivados de basalto no Rio Grande do Sul—Brasil. Ci Rural 37:381–388. https://doi.org/10.1590/S0103-84782007000200013
Flanagan DC, Livingston SJ (1995) Water erosion prediction project: WEEP user summary. National Soil Research Laboratory & USDA, Washington, D.C, West Lafayette
Franco-Otero VG, Soler-Rovira P, Hernandez D, Lopez-de-Sa EG, Plaza C (2012) Short-term effects of organic municipal wastes on wheat yield, microbial biomass, microbial activity, and chemical properties of soil. Biol Fertil Soils 48:205–216. https://doi.org/10.1007/s00374-011-0620-y
Górka-Kostrubiec B, Teisseyre-Jeleńska M, Dytłow SK (2016) Magnetic properties as indicators of Chernozem soil development. Catena 138:91–102. https://doi.org/10.1016/j.catena.2015.11.014
Jaksik O, Kodesova R, Kapicka A, Klement A, Fer M, Nikodem A (2016) Using magnetic susceptibility mapping for assessing soil degradation due to water erosion. Soil Water Res 11:105–113. https://doi.org/10.17221/233/2015-SWR
Jordanova D, Jordanova N, Atanasova A, Tsacheva T, Petrov P (2011) Soil tillage erosion estimated by using magnetism of soils—a case study from Bulgaria. Environ Monit Assess 183:381–394. https://doi.org/10.1007/s10661-011-1927-8
Jordanova D, Jordanova N, Petrov P (2014) Pattern of cumulative soil erosion and redistribution pinpointed through magnetic signature of Chernozem soils. Catena 120:46–56. https://doi.org/10.1016/j.catena.2014.03.020
Kämpf N, Curi N (2000) Óxidos de ferro: Indicadores de ambientes pedogênicos. In: Novais RF, Alvarez VVH, Schaefer CEGR (eds) Tópicos em ciência do solo, v.1. Sociedade Brasileira de Ciência do Solo, Viçosa-MG, pp 107–138
Kanu MO, Meludu OC, Oniku SA (2014) Comparative study of top soil magnetic susceptibility variation based on some human activities. Geofísica Int 53:411–423. https://doi.org/10.1016/S0016-7169(14)70075-3
Lal R (1988) Erodibility and erosivity. In: Lal R (ed) Soil erosion research methods. Soil and Water Conservation Society, Washington, pp 141–160
Lal R, Stewart BA (1992) Need for land restoration. In: Lal R, Stewart BA (eds) Soil restoration. Springer, New York, pp 1–11
Lane LJ, Nearing MA (1989) Water erosion prediction project: hillslope profile model documentation. National Soil Research Laboratory & USDA, Washington, D.C, West Lafayette
Lima PMP, Andrade H (2001) Erodibilidade entressulcos e atributos de solos com B textural e B latossólico do sul de Minas Gerais. R Bras Ci Solo 25:463–474. https://doi.org/10.1590/S0100-06832001000200022
Lima JM, Curi N, Resende M, Santana DP (1990) Dispersão do material de solo em água para avaliação indireta da erodibilidade em latossolos. R Bras Ci Solo 14:85–90
Marques Júnior J, Siqueira DS, Camargo LA, Teixeira DDB, Barrón V, Torrent J (2014) Magnetic susceptibility and diffuse reflectance spectroscopy to characterize the spatial variability of soil properties in a Brazilian Haplustalf. Geoderma 219–220:63–71. https://doi.org/10.1016/j.geoderma.2013.12.007
Martins Filho MV (1999) Modelagem do processo de erosão entressulcos em latossolos de Jaboticabal-SP. Thesis, Universidade Federal de Lavaras, Lavras
Martins Filho MV, Engler MPC, Izidorio R, Contrin FB, Serra EA, Amaral NS, Souza ZM (2004) Modelos para estimativa do subfator cobertura-manejo (CiII) relativo à erosão entressulcos. Eng Agríc 24:603–611. https://doi.org/10.1590/S0100-69162004000300012
Martins Filho MV, Liccioti TT, Pereira GT, Marques Júnior J, Sanchez RB (2009) Soil and nutrients losses of an alfisol with sugarcane crop residue. Eng Agríc 29:8–18. https://doi.org/10.1590/S0100-69162009000100002
Mehra OP, Jackson ML (1960) Iron oxide removal from soils and clay by a dithionite-citrate system buffered with sodium bicarbonate. Clays Clay Miner 7:317–327. https://doi.org/10.1016/B978-0-08-009235-5.50026-7
Mohamed KJ, Andrade A, Rey D, Rubio B, Bernabeu AM (2017) A kinetic model to explain the grain size and organic matter content dependence of magnetic susceptibility in transitional marine environments: a case study in Ria de Muros (NW Iberia). Geochem Geophys 18:2200–2215. https://doi.org/10.1002/2017GC006823
Montanari R, Marques Júnior J, Campos MCC, Souza ZM, Camargo LA (2010) Caracterização mineralógica de Latossolos em diferentes feições do relevo na região de Jaboticabal, SP. Rev Cienc Agron 41:191–199. https://doi.org/10.1590/S1806-66902010000200004
Montanari R, Zambianco EC, Corrêa AR, Pellin DMP, Carvalho MP, Dalchiavon FC (2012) Atributos físicos de um Latossolo Vermelho correlacionados linear e espacialmente com a consorciação de guandu com milheto. R Ceres 59:125–135. https://doi.org/10.1590/S0034-737X2012000100018
Norrish K, Taylor RM (1961) The isomorphous replacement of iron by aluminium in soil goethites. J Soil Sci 12:294–306. https://doi.org/10.1111/j.1365-2389.1961.tb00919.x
Nunes MCM, Cassol EA (2008) Estimativa da erodibilidade em entressulcos de Latossolos do Rio Grande do Sul. R Bras Ci Solo 32:2839–2845. https://doi.org/10.1590/S0100-06832008000700030
Nyawade S, Karanja N, Gachene C, Parker M, Schulte-Geldermann E (2018) Susceptibility of soil organic matter fractions to soil erosion under potato-legume intercropping systems in central Kenya. J Soil Water Conserv 73:567–576. https://doi.org/10.2489/jswc.73.5.567
Olson KR, Gennadiyev AN, Zhidkin AP, Markelov M, Golosov VN, Lang JM (2013) Use of magnetic tracer and radio-cesium methods to determine past cropland soil erosion amounts and rates. Catena 104:103–110. https://doi.org/10.1016/j.catena.2012.10.015
Peluco RG, Marques Júnior J, Siqueira DS, Pereira GT, Barbosa RS, Teixiera DB, Adame CR, Cortez LA (2013) Suscetibilidade magnética do solo e estimação da capacidade de suporte à aplicação de vinhaça. Pesq Agropec Bras 48:661–672. https://doi.org/10.1590/S0100-204X2013000600012
Raij B van, Quaggio JA, Cantarella H (1987) Análise química do solo para fins de fertilidade. Fundação Cargill, São Paulo
Robertson GP (2004) GS+: Geostatistics for the environmental sciences—GS + User’s Guide. Gamma Desing Software, Plainwell, 152 p
Römkens MJM, Roth CB, Nelson DW (1977) Erodibility of selected clay subsoils in relation to physical and chemical properties. Soil Sci Soc Am J 41:954–960. https://doi.org/10.2136/sssaj1977.03615995004100050030x
Salvati L, Bajocoo S, Ceccarelli T, Perini L (2013) Amplifying (or reversing) the territorial disparities in land vulnerability to soil degradation: The Case of Italy. Prof Geogr 65:647–663. https://doi.org/10.1080/00330124.2012.724351
Santos HL, Marques J Jr, Matias SSR, Siqueira DS, Martins Filho MV (2013) Erosion factors and magnetic susceptibility in different compartments of a slope in Gilbués-PI, Brazil. Eng Agríc 33:64–74. https://doi.org/10.1590/S0100-69162013000100008
Santos TEM, Montenegro AAA, Silva Junior VP (2008) Erosão hídrica e perda de carbono orgânico em diferentes tipos de cobertura do solo no semiárido, em condições de chuva simulada. Rev Bras Recur Hidr 13:113–125. https://doi.org/10.21168/rbrh.v13n2.p113-125
Santos AC, Pereira MG, Anjos LHC, Bernini TA, Cooper M, Nummer AR, Francelino MR (2010) Gênese e classificação de solos numa topossequência no ambiente de mar de morros do médio Vale do Paraíba do Sul, RJ. R Bras Ci Solo 34:1297–1314. https://doi.org/10.1590/S0100-06832010000400027
Schwertmann U (1973) Use of oxalate for Fe extraction from soils. Can J Soil Sci 53:244–246. https://doi.org/10.4141/cjss73-037
Schwertmann U, Kämpf N (1985) Properties of goethite and hematite in kaolinitic soils of Southern and Central Brazil. Soil Sci 139:344–350. https://doi.org/10.1097/00010694-198504000-00008
Silva GRV, Souza ZM, Martins Filho MV, Barbosa RS, Sousa GS (2012) Soil, water and nutrient losses by interrill erosion from green cane cultivation. R Bras Ci Solo 36:963–970. https://doi.org/10.1590/S0100-06832012000300026
Siqueira DS, Marques J Jr, Matias SSR, Barrón V, Torrent J, Baffa O, Oliveira LC (2010) Correlation of properties of Brazilian Haplustalfs from magnetic susceptibility measurements. Soil Use Manage 26:425–431. https://doi.org/10.1111/j.1475-2743.2010.00294.x
Siqueira DS, Marques Júnior J, Pereira GT, Barbosa RS, Teixeira DB, Peluco RG (2014) Sampling density and proportion for the characterization of the variability of Oxisol attributes on different materials. Geoderma 232:172–182. https://doi.org/10.1016/j.geoderma.2014.04.037
Siqueira DS, Marques Júnior J, Teixeira DDB, Matias SSR, Camargo LA, Pereira GT (2016) Magnetic susceptibility for characterizing areas with different potentials for sugarcane production. Pesquisa Agropecuária Brasileira 51(9):1349–1358. https://doi.org/10.1590/s0100-204x2016000900034
Soil Survey Staff (2014) Keys to soil taxonomy. USDA-Natural Resources Conservation Service, Washington DC
Souza CK, Marques Júnior J, Martins Filho MV, Pereira GT (2003) Influência do relevo e erosão na variabilidade espacial de um Latossolo em Jaboticabal (SP). R Bras Ci Solo 27:1067–1074. https://doi.org/10.1590/S0100-06832003000600011
Souza ZM, Barbieri DM, Marques J Jr, Pereira GT, Campos MCC (2007) Influência da variabilidade espacial de atributos químicos de um Latossolo na aplicação de insumos para cultura de cana-de-açúcar. Ciênc Agrotec 31:371–377
Thornthwaite CW (1948) An approach towards a rational classification of climate. Geogr Rev 38:55–94
Tomazoni JC, Guimarães E (2005) A sistematização dos fatores da EUPS em SIG para quantificação da erosão laminar na bacia do Rio Jirau. Rev Bras Cartogr 57:235–244
Torrent J, Barrón V, Liu QS (2006) Magnetic enhancement is linked to and precedes hematite formation in aerobicsoil. Geophys Res Letters 33:1–4. https://doi.org/10.1029/2005GL024818
Torrent J, Liu QS, Bloemendal J, Barrón V (2007) Magnetic enhancement and iron oxides in the upper luochuan Loess-paleosol sequence, Chinese Loess plateau. Soil Sci Soc Am J 71:1570–1578. https://doi.org/10.2136/sssaj2006.0328
Torrent J, Liu QS, Barrón V (2010) Magnetic minerals in Calcic Luvisols (Chromic) developed in a warm Mediterranean region of Spain: Origin and paleoenvironmental significance. Geoderma 154:465–472. https://doi.org/10.1016/j.geoderma.2008.06.020
Uehara G (1988) Acric properties and their significance to soil classification. In: International Soil Classification Workshop, Embrapa/Snlcs, Rio de Janeiro pp 19–22
Veiga M, Cabeda MSV, Reichert JM (1993) Erodibilidade em entressulcos de solos do Rio Grande do Sul. R Bras Ci Solo 17:121–128
Vieira SR (2000) Geoestatística em estudos de variabilidade espacial do solo. In: Novais RF, Alvarez VVH, Schaefer GR (eds) Tópicos em ciência do solo. Sociedade Brasileira de Ciência do Solo, Viçosa-MG, pp 1–54
Vieira SR, Millete J, Topp GC, Reynolds WD (2002) Handbook for geostatistical analysis of variability in soil and climate data. In: Alvarez V, Schaefer VH, Barros CEGR, Mello NF, Costa JWV LM, (eds) Tópicos em ciência do solo. Sociedade Brasileira de Ciência do Solo, Viçosa-MG, pp 1–45
Wagg C, Bender SF, Widmer F, van der Heijden MGA (2014) Soil biodiversity and soil community composition determine ecosystem multifunctionality. Proc Natl Acad Sci USA 111:5266–5270. https://doi.org/10.1073/pnas.1320054111
Wang H, Huo Y, Zeng L, Wu X, Cai Y (2008) A 42-yr soil erosion record inferred from mineral magnetism of reservoir sediments in a small carbonate-rock catchment, Guizhou Plateau, southwest China. J Paleolimnol 40:897–921. https://doi.org/10.1007/s10933-008-9206-6
Wang B, Xia DS, Yu Y, Jia J, Xu SJ (2013) Magnetic properties of river sediments and their relationship with heavy metals and organic matter in the urban area in Lanzhou, China. Environ Earth Sci 70:605–614. https://doi.org/10.1007/s12665-012-2144-7
Wang YX, Ran LS, Fang NF, Shi ZH (2018) Aggregate stability and associated organic carbon and nitrogen as affected by soil erosion and vegetation rehabilitation on the Loess Plateau. Catena 167:257–265. https://doi.org/10.1016/j.catena.2018.05.005
Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses; a guide to conservation planning. USDA-Science and Education Administration, Hyattsville, Maryland
Wischmeier WH, Johnson CB, Cross BV (1971) Soil erodibility nomograph for farmland and construction sites. J Soil Water Conserv 26:189–193
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To the Coordination for the Improvement of Higher Education Personnel (Capes) for granting the doctoral scholarship with a collaborative period abroad (Process No. 18732-12-7). To the São Paulo Research Foundation (FAPESP) for the financial support by means of the BIOEN program (Process No. 13/25118-4).
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Barbosa, R.S., Marques Júnior, J., Barrón, V. et al. Prediction and mapping of erodibility factors (USLE and WEPP) by magnetic susceptibility in basalt-derived soils in northeastern São Paulo state, Brazil. Environ Earth Sci 78, 12 (2019). https://doi.org/10.1007/s12665-018-8015-0
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DOI: https://doi.org/10.1007/s12665-018-8015-0