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dc.contributor.authorLópez-Vicente, Manuel-
dc.contributor.authorNavas Izquierdo, Ana-
dc.contributor.authorGaspar Ferrer, Leticia-
dc.contributor.authorMachín Gayarre, Javier-
dc.date.accessioned2013-05-07T13:38:28Z-
dc.date.available2013-05-07T13:38:28Z-
dc.date.issued2013-07-
dc.identifier.citationLópez-Vicente M, Navas A, Gaspar L, Machín J. Advanced modelling of runoff and soil redistribution for agricultural systems: the SERT model. Agricultural Water Management 125: 1-12 (2013)es_ES
dc.identifier.issn0378-3774-
dc.identifier.urihttp://hdl.handle.net/10261/75609-
dc.description29 Pags., 3 Tabls., 6 Figs. The definitive version is available at: http://www.sciencedirect.com/science/journal/03783774es_ES
dc.description.abstractHydrological and soil erosion models allow mapping and quantifying rates of runoff depths and soil redistribution for different land uses and climatic scenarios. Mediterranean soils are threatened by marked seasonal changes in the climatic, thus soil and vegetation parameters and modelling predictions at monthly scale are required. The semi-physically-based Soil Erosion and Redistribution Tool (SERT) model is presented together with the results of its application in a Mediterranean agro-ecosystem (NE Spain) with a detailed database. The hydrological module is based on the recently published DR2 (Distributed Rainfall-Runoff) water balance model and the effects of man-made infrastructures on the natural dynamics of runoff connectivity are added. The erosion module is built using, as the basis, the Revised Morgan, Morgan and Finney model, and the new Remaining runoff Transport Capacity (TCr) factor used to estimate the rates of soil loss and deposition. Predicted runoff depth varied in time and space, presenting areas without runoff production mainly in Rendzic Leptosols and Haplic Calcisols between November and April. Average soil erosion was high in cultivated and bare soils, ca. 20 and 10 Mg ha–1 yr–1, whereas rangeland soils were affected by moderate and, in some areas, by limited erosion processes. Soil erosion was minimal in February (0.08 Mg ha–1 month–1 on average) and 23 times higher in October. The SERT model allowed mapping the significant changes in the monthly values of soil redistribution quantifying the variability in the magnitude of the processes involved. Predicted values of average soil loss and deposition were validated against quantified values with 137Cs obtaining an average Nash–Sutcliffe efficiency of 0.48 (Pearson’s r = 0.709) and a sediment balance of -1.15 Mg yr–1 for the whole catchment that is consistent with the karst processes of the study area. The new model is an easy-to-run, reliable, low-input-demanding management tool with valuable outputs for hydrological and soil erosion studies in small agricultural catchments.es_ES
dc.description.sponsorshipThis research was funded by the Projects “Erosion and redistribution of soils and nutrients in Mediterranean agroecosystems: radioisotopic tracers of sources and sinks and modelling of scenarios (EROMED) (CGL2011-25486/BTE)” of the Spanish Ministry of Economy and Competitiveness (former Ministry of Science and Innovation) and “Mitigation of siltation of the Estaña Lakes Wetlands (Huesca, Spain) under different scenarios of climate change: soil and water trapping effectiveness of the “green areas” of the new CAP (Expedient number 2012 GA LC 034)” of the Regional Government of Aragón (Spain) and Obra Social “la Caixa”.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsopenAccesses_ES
dc.subjectDR2 modeles_ES
dc.subjectCumulative runoffes_ES
dc.subjectSERT modeles_ES
dc.subjectSoil redistributiones_ES
dc.subjectAgricultural systemes_ES
dc.subject137Cses_ES
dc.titleAdvanced modelling of runoff and soil redistribution for agricultural systems: the SERT modeles_ES
dc.typeArtículoes_ES
dc.identifier.doi10.1016/j.agwat.2013.04.002-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.agwat.2013.04.002es_ES
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