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Resumen
The replacement of natural vegetation by pastures and extensive crops is generally driven by economic incentives and supported by technology improvements and multiple subsidies. However, towards areas of increasing aridity the productive performance of these replacements may decline from all perspectives – ecological to agronomic to economic – due to intrinsic differences in the structural and physiological adjustment of natural and cultivated vegetation [ver mas...]
dc.contributor.authorMurray, Francisco
dc.contributor.authorBaldi, Germán
dc.contributor.authorBernard, Tamara von
dc.contributor.authorViglizzo, Ernesto Francisco
dc.contributor.authorJobbagy Gampel, Esteban Gabriel
dc.date.accessioned2018-04-04T15:31:56Z
dc.date.available2018-04-04T15:31:56Z
dc.date.issued2016-11
dc.identifier.issn0308-521X
dc.identifier.otherhttps://doi.org/10.1016/j.agsy.2016.08.004
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0308521X16303833#!
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2165
dc.description.abstractThe replacement of natural vegetation by pastures and extensive crops is generally driven by economic incentives and supported by technology improvements and multiple subsidies. However, towards areas of increasing aridity the productive performance of these replacements may decline from all perspectives – ecological to agronomic to economic – due to intrinsic differences in the structural and physiological adjustment of natural and cultivated vegetation to reduced and fluctuating water availability. We compare natural woody vegetation, perennial C4 pastures and annual crops (maize, soybean and wheat) along a gradient of decreasing precipitation (900–400 mm of annual mean) encompassing the current agricultural frontier of the Dry Chaco and Western Espinal ecoregions of South America. We assess (i) aboveground net primary productivity (ANPP) (ii) yields of product dry mass, edible energy and protein outputs and, (iii) economic gross profits and return of investment. We linked climatic with yield data from national statistics, field trials and empiric models, together with productive parameters and market prices obtained from local consultants and economic bulletins. Maize achieved the highest ANPP of all vegetation covers (+ 42% in average compared to the rest) along the entire precipitation gradient, while the rest of the crops were very similar to natural vegetation. Pastures approached the ANPP of natural vegetation in the humid range, but had the lowest performance below 700 mm (− 15%). Along the entire precipitation gradient, maize was outstanding in mass and edible energy yield while soybean was so in protein production. Soybean had the highest gross profit per hectare (+ 50%) and total capital return of investment (+ 70%). Pastures offered the highest functional capital return of investment (+ 98%; without fixed capital, infrastructure and land value costs), explaining their relevance at the onset of the deforestation process and the gradual prevalence of crops afterwards. While agronomic and economic incentives for natural vegetation replacement remain strong along the whole aridity gradient, crop choice rather than land use system seem to shape the key ecological process of net primary productivity.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceAgricultural systems 149 : 20-29. (November 2016)eng
dc.subjectPastizaleses_AR
dc.subjectPastureseng
dc.subjectCobertura de Sueloses_AR
dc.subjectLand Covereng
dc.subjectZona Aridaes_AR
dc.subjectArid Zoneseng
dc.subjectFactores Ecológicoses_AR
dc.subjectEcological Factorseng
dc.subjectCostoses_AR
dc.subjectCostseng
dc.subject.otherVegetación Naturales_AR
dc.titleProductive performance of alternative land covers along aridity gradients: ecological, agronomic and economic perspectiveseng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEEA San Luises_AR
dc.description.filFil: Murray, Francisco. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria San Luis. Agencia de Extensión Rural San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentinaes_AR
dc.description.filFil: Baldi, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentinaes_AR
dc.description.filFil: Bernard, Tamara von. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentinaes_AR
dc.description.filFil: Viglizzo, Ernesto Francisco. Instituto Nacional de Tecnología Agropecuaria (INTA). Centro Regional La Pampa-San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentinaes_AR
dc.subtypecientifico


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