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
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/3595
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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/restrictedAccess2025-09-29T13:44:28Zoai: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:l2025-09-29 13:44:28.316INTA 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 |
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1844619126850453504 |
score |
12.559606 |