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resumen

Resumen
Depending on its depth from the soil surface, shallow groundwater can represent a valuable water resource to alleviate droughts, or a stress agent that causes waterlogging and flooding in rainfed crops. Groundwater depth varies across space, following landscape topographic features; through time, accompanying climate fluctuations; and may also shift in both dimensions in response to crop choice. We evaluated the contribution of climate, topography and [ver mas...]
dc.contributor.authorMercau, Jorge Luis
dc.contributor.authorNosetto, Marcelo Daniel
dc.contributor.authorBert, Federico Esteban
dc.contributor.authorGiménez, Raúl
dc.contributor.authorJobbagy Gampel, Esteban Gabriel
dc.date.accessioned2018-07-31T13:15:18Z
dc.date.available2018-07-31T13:15:18Z
dc.date.issued2016-01-01
dc.identifier.issn0378-3774
dc.identifier.otherhttps://doi.org/10.1016/j.agwat.2015.09.013
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0378377415301050
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2928
dc.description.abstractDepending on its depth from the soil surface, shallow groundwater can represent a valuable water resource to alleviate droughts, or a stress agent that causes waterlogging and flooding in rainfed crops. Groundwater depth varies across space, following landscape topographic features; through time, accompanying climate fluctuations; and may also shift in both dimensions in response to crop choice. We evaluated the contribution of climate, topography and crop choice on the variability of groundwater depth in rainfed systems of western Pampas, throughout a five year period of extreme precipitation fluctuation (2008–2013). Sixteen permanent monitoring wells were installed in four different topographic settings along the smoothly rolling landscape, covering the three phases of a maize–soybean–wheat/soybean rotation, common in the region. Water table dynamics, measured at weekly to monthly intervals, was very similar across landscape positions, with a range of depth from the surface of −0.2 (flood) to 1.8 m and 1.8–4.4 m in the lowest and highest positions, respectively. At the inter-annual scale, water table fluctuations were predominantly dictated by climate variability with no effect due to the implanted crop. Only at the intra-annual scale, crop choice appeared as a relevant control, with wheat–soybean flattening the spring level rises and summer drops repeatedly found under maize and soybean single crops. Daily meteorological data and remote sensing estimates of live and dead crop cover were used to simulate transpiration demand and soil evaporation. As the balance between precipitation and crop evapotranspiration was positive/negative, watertables raised/dropped 0.21 cm mm−1 (n = 80, R2 0.32) and 0.22 cm mm−1 (n = 1092, R2 0.31) at inter and intra-annual scales, respectively. While crop choice may influence water table levels within a growing season, it has only a subtle effect on year to year fluctuation. With the explored annual crop options, farmers in the Pampas could reduce spring flooding risk when sowing double crops but cannot have a substantial effect on the longer term dynamics of the water table.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceAgricultural Water Management 163 : 159-168 (January 2016)es_AR
dc.subjectAguas Subterráneases_AR
dc.subjectGroundwatereng
dc.subjectClimaes_AR
dc.subjectClimateeng
dc.subjectPaisajees_AR
dc.subjectLandscapeeng
dc.subjectCultivoses_AR
dc.subjectCropseng
dc.subjectSistemas de Explotaciónes_AR
dc.subjectFarming Systemseng
dc.subjectUso del Aguaes_AR
dc.subjectWater Useeng
dc.subject.otherRegión Pampeanaes_AR
dc.titleShallow groundwater dynamics in the Pampas: Climate, landscape and crop choice effectses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA San Luises_AR
dc.description.filFil: Mercau, Jorge Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis; Argentinaes_AR
dc.description.filFil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentinaes_AR
dc.description.filFil: Bert, Federico Esteban. Universidad de Buenos Aires. Facultad de Agronomía; Argentinaes_AR
dc.description.filFil: Giménez, Raúl. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentinaes_AR
dc.description.filFil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentinaes_AR
dc.subtypecientifico


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