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The increasing proportion of agricultural lands worldwide makes it necessary to intensify the research concerning the carbon exchange at agricultural sites. In order to determine the Net Ecosystem Exchange (NEE) in an agricultural landscape in the province of Buenos Aires, Argentina, we carried out eddy covariance measurements with a flux tower, which was placed between two agricultural fields. Therefore, the measured CO2 flux represents the accumulated [ver mas...]
dc.contributor.authorPosse Beaulieu, Gabriela
dc.contributor.authorRichter, Klaus
dc.contributor.authorLewczuk, Nuria Andrea
dc.contributor.authorCristiano, Piedad Maria
dc.contributor.authorGattinoni, Natalia Noemí
dc.contributor.authorRebella, Cesar Manuel
dc.contributor.authorAchkar, Antonio
dc.coverage.spatialArgentina (nation)
dc.date.accessioned2018-10-16T12:09:22Z
dc.date.available2018-10-16T12:09:22Z
dc.date.issued2014-10
dc.identifier.issn1420-2026
dc.identifier.issn1573-2967 (Online)
dc.identifier.otherhttps://doi.org/10.1007/s10666-013-9395-x
dc.identifier.urihttp://hdl.handle.net/20.500.12123/3595
dc.identifier.urihttps://rd.springer.com/article/10.1007%2Fs10666-013-9395-x
dc.description.abstractThe increasing proportion of agricultural lands worldwide makes it necessary to intensify the research concerning the carbon exchange at agricultural sites. In order to determine the Net Ecosystem Exchange (NEE) in an agricultural landscape in the province of Buenos Aires, Argentina, we carried out eddy covariance measurements with a flux tower, which was placed between two agricultural fields. Therefore, the measured CO2 flux represents the accumulated flux from both areas, i.e., from different crop types. We here present an analysis method which attributes the flux to the two crop types. For this analysis, we applied the Hsieh footprint model to identify the contributing source area to the flux measurement. We then applied a multiple regression analysis to calculate the NEE in the growing season 2011/2012 for each field separately. The pronounced differences in the time courses of the CO2 fluxes in the two fields can be explained by the different sowing times and different growth stages of both cultivations. The time courses furthermore show that the CO2 uptake of the plants was strongly affected by the drought which lasted from December 2011 to January 2012. For the growth cycle of maize (216 days), the NEE was −240 g C m−2 and for the growth cycle of soybean (154 days) −231 g C m−2. In order to obtain the NEE of a complete agricultural cycle (from harvest to harvest), we also considered the NEE of autumn and winter 2011. Uncertainties of the spatially partitioned NEE are quantified and discussed.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.publisherSpringereng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceEnvironmental modeling & assessment 19 (5) : 361–372. (October 2014)eng
dc.subjectDióxido de Carbonoes_AR
dc.subjectCarbon Dioxideeng
dc.subjectDroughteng
dc.subjectSequíaes_AR
dc.subjectMaízes_AR
dc.subjectZea Mayses_AR
dc.subjectMaizeeng
dc.subjectSojaes_AR
dc.subjectSoybeanseng
dc.subjectGlycine Maxes_AR
dc.subjectCobertura de Sueloses_AR
dc.subjectLand Covereng
dc.subject.otherArgentinaes_AR
dc.subject.otherEddy Covarianceeng
dc.subject.otherFootprint Modeleng
dc.subject.otherHeterogeneous Land Covereng
dc.titleAttribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenInstituto de Clima y Aguaes_AR
dc.description.filFil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Richter, Klaus. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Lewczuk, Nuria Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Cristiano, Maria Piedad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Gattinoni, Natalia Noemí. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Rebella, Cesar Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentinaes_AR
dc.description.filFil: Achkar, Antonio. Universidad Católica de Santa Fe. Área Informática; Argentinaes_AR
dc.subtypecientifico


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