Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina

Autores
Posse Beaulieu, Gabriela; Richter, Klaus; Lewczuk, Nuria Andrea; Cristiano, Piedad Maria; Gattinoni, Natalia Noemí; Rebella, Cesar Manuel; Achkar, Antonio
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 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.
Instituto de Clima y Agua
Fil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Richter, Klaus. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Lewczuk, Nuria Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cristiano, Maria Piedad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gattinoni, Natalia Noemí. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Rebella, Cesar Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Achkar, Antonio. Universidad Católica de Santa Fe. Área Informática; Argentina
Fuente
Environmental modeling & assessment 19 (5) : 361–372. (October 2014)
Materia
Dióxido de Carbono
Sequía
Maíz
Zea Mays
Soja
Glycine Max
Cobertura de Suelos
Carbon Dioxide
Drought
Maize
Soybeans
Land Cover
Argentina
Eddy Covariance
Footprint Model
Heterogeneous Land Cover
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/3595
Acceder
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oai_identifier_str oai:localhost:20.500.12123/3595
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of ArgentinaPosse Beaulieu, GabrielaRichter, KlausLewczuk, Nuria AndreaCristiano, Piedad MariaGattinoni, Natalia NoemíRebella, Cesar ManuelAchkar, AntonioDióxido de CarbonoSequíaMaízZea MaysSojaGlycine MaxCobertura de SuelosCarbon DioxideDroughtMaizeSoybeansLand CoverArgentinaEddy CovarianceFootprint ModelHeterogeneous Land CoverThe 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.Instituto de Clima y AguaFil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Richter, Klaus. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Lewczuk, Nuria Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cristiano, Maria Piedad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gattinoni, Natalia Noemí. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Rebella, Cesar Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Achkar, Antonio. Universidad Católica de Santa Fe. Área Informática; ArgentinaSpringer2018-10-16T12:09:22Z2018-10-16T12:09:22Z2014-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/3595https://rd.springer.com/article/10.1007%2Fs10666-013-9395-x1420-20261573-2967 (Online)https://doi.org/10.1007/s10666-013-9395-xEnvironmental modeling & assessment 19 (5) : 361–372. (October 2014)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología AgropecuariaengArgentina (nation)info:eu-repo/semantics/restrictedAccess2025-10-16T09:29:20Zoai:localhost:20.500.12123/3595instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:29:20.624INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina
title Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina
spellingShingle Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina
Posse Beaulieu, Gabriela
Dióxido de Carbono
Sequía
Maíz
Zea Mays
Soja
Glycine Max
Cobertura de Suelos
Carbon Dioxide
Drought
Maize
Soybeans
Land Cover
Argentina
Eddy Covariance
Footprint Model
Heterogeneous Land Cover
title_short Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina
title_full Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina
title_fullStr Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina
title_full_unstemmed Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina
title_sort Attribution of carbon dioxide fluxes to crop types in a heterogeneous agricultural landscape of Argentina
dc.creator.none.fl_str_mv Posse Beaulieu, Gabriela
Richter, Klaus
Lewczuk, Nuria Andrea
Cristiano, Piedad Maria
Gattinoni, Natalia Noemí
Rebella, Cesar Manuel
Achkar, Antonio
author Posse Beaulieu, Gabriela
author_facet Posse Beaulieu, Gabriela
Richter, Klaus
Lewczuk, Nuria Andrea
Cristiano, Piedad Maria
Gattinoni, Natalia Noemí
Rebella, Cesar Manuel
Achkar, Antonio
author_role author
author2 Richter, Klaus
Lewczuk, Nuria Andrea
Cristiano, Piedad Maria
Gattinoni, Natalia Noemí
Rebella, Cesar Manuel
Achkar, Antonio
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Dióxido de Carbono
Sequía
Maíz
Zea Mays
Soja
Glycine Max
Cobertura de Suelos
Carbon Dioxide
Drought
Maize
Soybeans
Land Cover
Argentina
Eddy Covariance
Footprint Model
Heterogeneous Land Cover
topic Dióxido de Carbono
Sequía
Maíz
Zea Mays
Soja
Glycine Max
Cobertura de Suelos
Carbon Dioxide
Drought
Maize
Soybeans
Land Cover
Argentina
Eddy Covariance
Footprint Model
Heterogeneous Land Cover
dc.description.none.fl_txt_mv 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 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.
Instituto de Clima y Agua
Fil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Richter, Klaus. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Lewczuk, Nuria Andrea. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cristiano, Maria Piedad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Gattinoni, Natalia Noemí. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Rebella, Cesar Manuel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Achkar, Antonio. Universidad Católica de Santa Fe. Área Informática; Argentina
description 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 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.
publishDate 2014
dc.date.none.fl_str_mv 2014-10
2018-10-16T12:09:22Z
2018-10-16T12:09:22Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/3595
https://rd.springer.com/article/10.1007%2Fs10666-013-9395-x
1420-2026
1573-2967 (Online)
https://doi.org/10.1007/s10666-013-9395-x
url http://hdl.handle.net/20.500.12123/3595
https://rd.springer.com/article/10.1007%2Fs10666-013-9395-x
https://doi.org/10.1007/s10666-013-9395-x
identifier_str_mv 1420-2026
1573-2967 (Online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Argentina (nation)
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Environmental modeling & assessment 19 (5) : 361–372. (October 2014)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1846143506164219904
score 12.712165

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