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Understanding regional impacts of recent climate trends can help anticipate how further climate change will affect agricultural productivity. We here used panel models to estimate the contribution of growing season precipitation (P), average temperature (T) and diurnal temperature range (DTR) on wheat, maize and soy yield and yield trends between 1971 and 2012 from 33 counties of the Argentine Pampas. A parallel analysis was conducted on a per county [ver mas...]
dc.contributor.authorVeron, Santiago Ramón
dc.contributor.authorDe Abelleyra, Diego
dc.contributor.authorLobell, David B.
dc.coverage.spatialPampa (general region)
dc.date.accessioned2017-10-02T17:51:19Z
dc.date.available2017-10-02T17:51:19Z
dc.date.issued2015-05
dc.identifier.issn0165-0009
dc.identifier.issn1573-1480 (Online version)
dc.identifier.otherhttps://doi.org/10.1007/s10584-015-1350-1
dc.identifier.urihttp://hdl.handle.net/20.500.12123/1380
dc.identifier.urihttps://link.springer.com/content/pdf/10.1007%2Fs10584-015-1350-1.pdf
dc.description.abstractUnderstanding regional impacts of recent climate trends can help anticipate how further climate change will affect agricultural productivity. We here used panel models to estimate the contribution of growing season precipitation (P), average temperature (T) and diurnal temperature range (DTR) on wheat, maize and soy yield and yield trends between 1971 and 2012 from 33 counties of the Argentine Pampas. A parallel analysis was conducted on a per county basis by adjusting a linear model to the first difference (i.e., subtracting from each value the previous year value) in yield and first difference in weather variables to estimate crop sensitivity to interannual changes in P, T, and DTR. Our results show a relatively small but significant negative impact of climate trends on yield which is consistent with the estimated crop and county specific sensitivity of yield to interannual changes in P, T and DTR and their temporal trends. Median yield loss from climate trends for the 1971−2012 period amounted to 5.4 % of average yields for maize, 5.1 % for wheat, and 2.6 % for soy. Crop yield gains for this time period could have been 15–20 % higher if climate remained without directional changes in the Pampas. On average, crop yield responded more to trends in T and DTR than in P. Translated into economic terms the observed reductions in maize, wheat, and soy yields due to climate trends in the Pampas would equal $1.1 B using 2013 producer prices. These results add to the increasing evidence that climate trends are slowing yield increase.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/openAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceClimate change 130 (2) : 235-245. (february 21, 2015)
dc.subjectFactores Climáticoses_AR
dc.subjectClimatic Factorseng
dc.subjectPrecipitación Atmosférica
dc.subjectPrecipitationeng
dc.subjectTemperatura
dc.subjectTemperatureeng
dc.subjectRendimiento
dc.subjectYieldseng
dc.subjectCultivos
dc.subjectCropseng
dc.subject.otherRegión Pampeana
dc.titleImpacts of precipitation and temperature on crop yields in the Pampaseng
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.filFil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
dc.description.filFil: De Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
dc.description.filFil: Lobell, David B. Stanford University. Department of Environmental Earth System Science and Program on Food Security and Environment; Estados Unidos
dc.subtypecientifico


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