Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina

Autores
Contreras, Sergio; Jobbagy Gampel, Esteban Gabriel; Villagra, Pablo Eugenio; Nosetto, Marcelo Daniel; Puigdefábregas, Juan
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Besides precipitation inputs, evapotranspiration of irrigated and natural oases, i.e. riparian and phreatophytic ecosystems, of rain-shadow deserts is strongly influenced by lateral water inputs supplied by mountain rivers and foothill-recharged aquifers. A better understanding of these supplies and their imprint on the water consumption of those inflow dependent ecosystems (IDEs) across arid regions is critical to manage agricultural outputs and ecosystem conservation, and the hydrological trade-offs that emerge among them. Actual operative satellite and physically-based algorithms able to map evapotranspiration (ET) rates at regional scales still fail when they are applied in ungauged regions because of their high parameterization and meteorological data requirements. We introduce an ecological and satellite-based approach to explore the impacts of external water supplies on arid ecosystems, focusing on the Central Monte desert and its water supplies from the Andean Cordillera, in Argentina. Mean annual precipitation (MAP) and the Enhanced Vegetation Index (EVI) from MODIS imagery, used as a surrogate of ET, were the input variables of our empirical model. Two related biophysical indexes were generated for the whole territory of interest based on a MAP–EVI regional function calibrated for the region: the EVI Anomaly (i.e. deviation from a reference with similar MAP) and the ET Anomaly (i.e. additional water consumption besides MAP). These indexes allowed us to identify IDEs and to quantify the impact of remote lateral inflows as well as local constrains on the water balance of rangelands, and irrigated and natural oases. The performance of this satellite-based approach was evaluated through comparisons with independent ET estimates based on plot (known crop coefficients) and basin (measured water budgets) scale approaches. Relative errors in the 2–18% range at plot and basin scale are in agreement with those uncertainties reported by other satellite and physically-based approaches. Our approach provides a simple yet robust diagnostic tool to characterize water balance in arid regions, aimed to improve the identification of inflow dependent ecosystems and their management under the demanding pressures of land use and climate change.
Fil: Contreras, Sergio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; Argentina. University of Texas at Austin; Estados Unidos
Fil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; Argentina
Fil: Villagra, Pablo Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; Argentina
Fil: Puigdefábregas, Juan. Consejo Superior de Investigaciones Cientificas. Estacion Experimental de Zonas Aridas; España
Materia
Evapotranspiration
Inflow Dependent Ecosystems
Remote Sensing
Modis
Enhanced Vegetation Index
Hydrological Equilibrium Hypothesis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/15393

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oai_identifier_str oai:ri.conicet.gov.ar:11336/15393
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Remote sensing estimates of supplementary water consumption by arid ecosystems of central ArgentinaContreras, SergioJobbagy Gampel, Esteban GabrielVillagra, Pablo EugenioNosetto, Marcelo DanielPuigdefábregas, JuanEvapotranspirationInflow Dependent EcosystemsRemote SensingModisEnhanced Vegetation IndexHydrological Equilibrium Hypothesishttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Besides precipitation inputs, evapotranspiration of irrigated and natural oases, i.e. riparian and phreatophytic ecosystems, of rain-shadow deserts is strongly influenced by lateral water inputs supplied by mountain rivers and foothill-recharged aquifers. A better understanding of these supplies and their imprint on the water consumption of those inflow dependent ecosystems (IDEs) across arid regions is critical to manage agricultural outputs and ecosystem conservation, and the hydrological trade-offs that emerge among them. Actual operative satellite and physically-based algorithms able to map evapotranspiration (ET) rates at regional scales still fail when they are applied in ungauged regions because of their high parameterization and meteorological data requirements. We introduce an ecological and satellite-based approach to explore the impacts of external water supplies on arid ecosystems, focusing on the Central Monte desert and its water supplies from the Andean Cordillera, in Argentina. Mean annual precipitation (MAP) and the Enhanced Vegetation Index (EVI) from MODIS imagery, used as a surrogate of ET, were the input variables of our empirical model. Two related biophysical indexes were generated for the whole territory of interest based on a MAP–EVI regional function calibrated for the region: the EVI Anomaly (i.e. deviation from a reference with similar MAP) and the ET Anomaly (i.e. additional water consumption besides MAP). These indexes allowed us to identify IDEs and to quantify the impact of remote lateral inflows as well as local constrains on the water balance of rangelands, and irrigated and natural oases. The performance of this satellite-based approach was evaluated through comparisons with independent ET estimates based on plot (known crop coefficients) and basin (measured water budgets) scale approaches. Relative errors in the 2–18% range at plot and basin scale are in agreement with those uncertainties reported by other satellite and physically-based approaches. Our approach provides a simple yet robust diagnostic tool to characterize water balance in arid regions, aimed to improve the identification of inflow dependent ecosystems and their management under the demanding pressures of land use and climate change.Fil: Contreras, Sergio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; Argentina. University of Texas at Austin; Estados UnidosFil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; ArgentinaFil: Villagra, Pablo Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; ArgentinaFil: Puigdefábregas, Juan. Consejo Superior de Investigaciones Cientificas. Estacion Experimental de Zonas Aridas; EspañaElsevier Science2011-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/15393Contreras, Sergio; Jobbagy Gampel, Esteban Gabriel; Villagra, Pablo Eugenio; Nosetto, Marcelo Daniel; Puigdefábregas, Juan; Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina; Elsevier Science; Journal Of Hydrology; 397; 1-2; 1-2011; 10-220022-1694enginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhydrol.2010.11.014info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0022169410007109info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:01:05Zoai:ri.conicet.gov.ar:11336/15393instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:01:06.253CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina
title Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina
spellingShingle Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina
Contreras, Sergio
Evapotranspiration
Inflow Dependent Ecosystems
Remote Sensing
Modis
Enhanced Vegetation Index
Hydrological Equilibrium Hypothesis
title_short Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina
title_full Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina
title_fullStr Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina
title_full_unstemmed Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina
title_sort Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina
dc.creator.none.fl_str_mv Contreras, Sergio
Jobbagy Gampel, Esteban Gabriel
Villagra, Pablo Eugenio
Nosetto, Marcelo Daniel
Puigdefábregas, Juan
author Contreras, Sergio
author_facet Contreras, Sergio
Jobbagy Gampel, Esteban Gabriel
Villagra, Pablo Eugenio
Nosetto, Marcelo Daniel
Puigdefábregas, Juan
author_role author
author2 Jobbagy Gampel, Esteban Gabriel
Villagra, Pablo Eugenio
Nosetto, Marcelo Daniel
Puigdefábregas, Juan
author2_role author
author
author
author
dc.subject.none.fl_str_mv Evapotranspiration
Inflow Dependent Ecosystems
Remote Sensing
Modis
Enhanced Vegetation Index
Hydrological Equilibrium Hypothesis
topic Evapotranspiration
Inflow Dependent Ecosystems
Remote Sensing
Modis
Enhanced Vegetation Index
Hydrological Equilibrium Hypothesis
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Besides precipitation inputs, evapotranspiration of irrigated and natural oases, i.e. riparian and phreatophytic ecosystems, of rain-shadow deserts is strongly influenced by lateral water inputs supplied by mountain rivers and foothill-recharged aquifers. A better understanding of these supplies and their imprint on the water consumption of those inflow dependent ecosystems (IDEs) across arid regions is critical to manage agricultural outputs and ecosystem conservation, and the hydrological trade-offs that emerge among them. Actual operative satellite and physically-based algorithms able to map evapotranspiration (ET) rates at regional scales still fail when they are applied in ungauged regions because of their high parameterization and meteorological data requirements. We introduce an ecological and satellite-based approach to explore the impacts of external water supplies on arid ecosystems, focusing on the Central Monte desert and its water supplies from the Andean Cordillera, in Argentina. Mean annual precipitation (MAP) and the Enhanced Vegetation Index (EVI) from MODIS imagery, used as a surrogate of ET, were the input variables of our empirical model. Two related biophysical indexes were generated for the whole territory of interest based on a MAP–EVI regional function calibrated for the region: the EVI Anomaly (i.e. deviation from a reference with similar MAP) and the ET Anomaly (i.e. additional water consumption besides MAP). These indexes allowed us to identify IDEs and to quantify the impact of remote lateral inflows as well as local constrains on the water balance of rangelands, and irrigated and natural oases. The performance of this satellite-based approach was evaluated through comparisons with independent ET estimates based on plot (known crop coefficients) and basin (measured water budgets) scale approaches. Relative errors in the 2–18% range at plot and basin scale are in agreement with those uncertainties reported by other satellite and physically-based approaches. Our approach provides a simple yet robust diagnostic tool to characterize water balance in arid regions, aimed to improve the identification of inflow dependent ecosystems and their management under the demanding pressures of land use and climate change.
Fil: Contreras, Sergio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; Argentina. University of Texas at Austin; Estados Unidos
Fil: Jobbagy Gampel, Esteban Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; Argentina
Fil: Villagra, Pablo Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Nosetto, Marcelo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Universidad Nacional de San Luis; Argentina
Fil: Puigdefábregas, Juan. Consejo Superior de Investigaciones Cientificas. Estacion Experimental de Zonas Aridas; España
description Besides precipitation inputs, evapotranspiration of irrigated and natural oases, i.e. riparian and phreatophytic ecosystems, of rain-shadow deserts is strongly influenced by lateral water inputs supplied by mountain rivers and foothill-recharged aquifers. A better understanding of these supplies and their imprint on the water consumption of those inflow dependent ecosystems (IDEs) across arid regions is critical to manage agricultural outputs and ecosystem conservation, and the hydrological trade-offs that emerge among them. Actual operative satellite and physically-based algorithms able to map evapotranspiration (ET) rates at regional scales still fail when they are applied in ungauged regions because of their high parameterization and meteorological data requirements. We introduce an ecological and satellite-based approach to explore the impacts of external water supplies on arid ecosystems, focusing on the Central Monte desert and its water supplies from the Andean Cordillera, in Argentina. Mean annual precipitation (MAP) and the Enhanced Vegetation Index (EVI) from MODIS imagery, used as a surrogate of ET, were the input variables of our empirical model. Two related biophysical indexes were generated for the whole territory of interest based on a MAP–EVI regional function calibrated for the region: the EVI Anomaly (i.e. deviation from a reference with similar MAP) and the ET Anomaly (i.e. additional water consumption besides MAP). These indexes allowed us to identify IDEs and to quantify the impact of remote lateral inflows as well as local constrains on the water balance of rangelands, and irrigated and natural oases. The performance of this satellite-based approach was evaluated through comparisons with independent ET estimates based on plot (known crop coefficients) and basin (measured water budgets) scale approaches. Relative errors in the 2–18% range at plot and basin scale are in agreement with those uncertainties reported by other satellite and physically-based approaches. Our approach provides a simple yet robust diagnostic tool to characterize water balance in arid regions, aimed to improve the identification of inflow dependent ecosystems and their management under the demanding pressures of land use and climate change.
publishDate 2011
dc.date.none.fl_str_mv 2011-01
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/11336/15393
Contreras, Sergio; Jobbagy Gampel, Esteban Gabriel; Villagra, Pablo Eugenio; Nosetto, Marcelo Daniel; Puigdefábregas, Juan; Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina; Elsevier Science; Journal Of Hydrology; 397; 1-2; 1-2011; 10-22
0022-1694
url http://hdl.handle.net/11336/15393
identifier_str_mv Contreras, Sergio; Jobbagy Gampel, Esteban Gabriel; Villagra, Pablo Eugenio; Nosetto, Marcelo Daniel; Puigdefábregas, Juan; Remote sensing estimates of supplementary water consumption by arid ecosystems of central Argentina; Elsevier Science; Journal Of Hydrology; 397; 1-2; 1-2011; 10-22
0022-1694
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jhydrol.2010.11.014
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0022169410007109
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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