A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas

Autores
Videla Mensegue, Horacio Rogelio; Magra, Maria Sofia; Macchiavello, Alejandra; Alvarez, Cristian; Noellemeyer, Elke; Caviglia, Octavio
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The shallow and fluctuating water table present significant challenges and opportunities for agricultural regions worldwide. This study explores the intricate interplay between water table fluctuations, soil type, potential evapotranspiration and rainfall in order to develop a user-friendly model for predicting water table dynamics. Our aim was to calibrate and validate the Water Table Fluctuation (WTF) model and the application of the WTF model assessing various agronomic scenarios across diverse soil types and climate conditions within the Argentinean Pampas. The methodological approach involved compiling an extensive database from 67 sites across the study area. Simulations were conducted for three representative sites under varying climatic conditions, soil types, and initial water table depths. The calibration and evaluation results showed an RMSE of 34.6 and 36.4 cm and an average RRMSE of 19 and 21.3 %, respectively; indicating very good performance. Wet climate scenarios with shallow initial water table depths indicated a high risk of waterlogging, whereas deeper initial depths showed reduced risk and increased usability of water for crops. The Argiudoll soil showed greater sensitivity to changes in the climate conditions, while Haplustoll and Hapludoll soils were less responsive. Overall, the WTF model provides a valuable tool for farmers, enabling them to make informed decisions about water management and crop planning. By simplifying the complex dynamics of water table fluctuations into an accessible format, the model enhances the capacity of farmers to adapt to changing environmental conditions, thereby supporting sustainable agricultural practices in the Argentinean Pampas.
EEA Marcos Juárez
Fil: Videla Mensegue, Horacio Rogelio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye, Argentina
Fil: Magra, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye, Argentina.
Fil: Macchiavello, Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria General Villegas; Argentina
Fil: Alvarez, Cristian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Noellemeyer, Elke. Universidad Nacional de La Pampa. Facultad de Agronomía; Argentina
Fil: Caviglia, Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Caviglia, Octavio. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
Fuente
Geoderma Regional 41 : e00956. (June 2025)
Materia
Capa Freática
Profundidad del agua
Modelos
Toma de Decisiones
Groundwater Table
Water Depth
Models
Decision Making
Napa Freática
Región Pampeana
Nivel de accesibilidad
acceso restringido
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/22023
Acceder
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oai_identifier_str oai:localhost:20.500.12123/22023
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling A simple model for water table fluctuations for agronomic decision making in the Argentinian PampasVidela Mensegue, Horacio RogelioMagra, Maria SofiaMacchiavello, AlejandraAlvarez, CristianNoellemeyer, ElkeCaviglia, OctavioCapa FreáticaProfundidad del aguaModelosToma de DecisionesGroundwater TableWater DepthModelsDecision MakingNapa FreáticaRegión PampeanaThe shallow and fluctuating water table present significant challenges and opportunities for agricultural regions worldwide. This study explores the intricate interplay between water table fluctuations, soil type, potential evapotranspiration and rainfall in order to develop a user-friendly model for predicting water table dynamics. Our aim was to calibrate and validate the Water Table Fluctuation (WTF) model and the application of the WTF model assessing various agronomic scenarios across diverse soil types and climate conditions within the Argentinean Pampas. The methodological approach involved compiling an extensive database from 67 sites across the study area. Simulations were conducted for three representative sites under varying climatic conditions, soil types, and initial water table depths. The calibration and evaluation results showed an RMSE of 34.6 and 36.4 cm and an average RRMSE of 19 and 21.3 %, respectively; indicating very good performance. Wet climate scenarios with shallow initial water table depths indicated a high risk of waterlogging, whereas deeper initial depths showed reduced risk and increased usability of water for crops. The Argiudoll soil showed greater sensitivity to changes in the climate conditions, while Haplustoll and Hapludoll soils were less responsive. Overall, the WTF model provides a valuable tool for farmers, enabling them to make informed decisions about water management and crop planning. By simplifying the complex dynamics of water table fluctuations into an accessible format, the model enhances the capacity of farmers to adapt to changing environmental conditions, thereby supporting sustainable agricultural practices in the Argentinean Pampas.EEA Marcos JuárezFil: Videla Mensegue, Horacio Rogelio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye, ArgentinaFil: Magra, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye, Argentina.Fil: Macchiavello, Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria General Villegas; ArgentinaFil: Alvarez, Cristian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; ArgentinaFil: Noellemeyer, Elke. Universidad Nacional de La Pampa. Facultad de Agronomía; ArgentinaFil: Caviglia, Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Caviglia, Octavio. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; ArgentinaElsevier2025-04-23T14:38:31Z2025-04-23T14:38:31Z2025-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/22023https://www.sciencedirect.com/science/article/abs/pii/S23520094250004102352-0094https://doi.org/10.1016/j.geodrs.2025.e00956Geoderma Regional 41 : e00956. (June 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2023-PE-L03-I024, Innovaciones tecnológicas y organizacionales para la gestión integrada de los recursos naturalesinfo:eu-repograntAgreement/INTA/2023-PE-L01-I012, Intensificación Sostenible de la Agricultura Extensiva en la Región Pampeanainfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:51:01Zoai:localhost:20.500.12123/22023instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:51:01.65INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
title A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
spellingShingle A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
Videla Mensegue, Horacio Rogelio
Capa Freática
Profundidad del agua
Modelos
Toma de Decisiones
Groundwater Table
Water Depth
Models
Decision Making
Napa Freática
Región Pampeana
title_short A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
title_full A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
title_fullStr A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
title_full_unstemmed A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
title_sort A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
dc.creator.none.fl_str_mv Videla Mensegue, Horacio Rogelio
Magra, Maria Sofia
Macchiavello, Alejandra
Alvarez, Cristian
Noellemeyer, Elke
Caviglia, Octavio
author Videla Mensegue, Horacio Rogelio
author_facet Videla Mensegue, Horacio Rogelio
Magra, Maria Sofia
Macchiavello, Alejandra
Alvarez, Cristian
Noellemeyer, Elke
Caviglia, Octavio
author_role author
author2 Magra, Maria Sofia
Macchiavello, Alejandra
Alvarez, Cristian
Noellemeyer, Elke
Caviglia, Octavio
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Capa Freática
Profundidad del agua
Modelos
Toma de Decisiones
Groundwater Table
Water Depth
Models
Decision Making
Napa Freática
Región Pampeana
topic Capa Freática
Profundidad del agua
Modelos
Toma de Decisiones
Groundwater Table
Water Depth
Models
Decision Making
Napa Freática
Región Pampeana
dc.description.none.fl_txt_mv The shallow and fluctuating water table present significant challenges and opportunities for agricultural regions worldwide. This study explores the intricate interplay between water table fluctuations, soil type, potential evapotranspiration and rainfall in order to develop a user-friendly model for predicting water table dynamics. Our aim was to calibrate and validate the Water Table Fluctuation (WTF) model and the application of the WTF model assessing various agronomic scenarios across diverse soil types and climate conditions within the Argentinean Pampas. The methodological approach involved compiling an extensive database from 67 sites across the study area. Simulations were conducted for three representative sites under varying climatic conditions, soil types, and initial water table depths. The calibration and evaluation results showed an RMSE of 34.6 and 36.4 cm and an average RRMSE of 19 and 21.3 %, respectively; indicating very good performance. Wet climate scenarios with shallow initial water table depths indicated a high risk of waterlogging, whereas deeper initial depths showed reduced risk and increased usability of water for crops. The Argiudoll soil showed greater sensitivity to changes in the climate conditions, while Haplustoll and Hapludoll soils were less responsive. Overall, the WTF model provides a valuable tool for farmers, enabling them to make informed decisions about water management and crop planning. By simplifying the complex dynamics of water table fluctuations into an accessible format, the model enhances the capacity of farmers to adapt to changing environmental conditions, thereby supporting sustainable agricultural practices in the Argentinean Pampas.
EEA Marcos Juárez
Fil: Videla Mensegue, Horacio Rogelio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye, Argentina
Fil: Magra, Sofía. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Marcos Juárez. Agencia de Extensión Rural Laboulaye, Argentina.
Fil: Macchiavello, Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria General Villegas; Argentina
Fil: Alvarez, Cristian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentina
Fil: Noellemeyer, Elke. Universidad Nacional de La Pampa. Facultad de Agronomía; Argentina
Fil: Caviglia, Octavio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Caviglia, Octavio. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina
description The shallow and fluctuating water table present significant challenges and opportunities for agricultural regions worldwide. This study explores the intricate interplay between water table fluctuations, soil type, potential evapotranspiration and rainfall in order to develop a user-friendly model for predicting water table dynamics. Our aim was to calibrate and validate the Water Table Fluctuation (WTF) model and the application of the WTF model assessing various agronomic scenarios across diverse soil types and climate conditions within the Argentinean Pampas. The methodological approach involved compiling an extensive database from 67 sites across the study area. Simulations were conducted for three representative sites under varying climatic conditions, soil types, and initial water table depths. The calibration and evaluation results showed an RMSE of 34.6 and 36.4 cm and an average RRMSE of 19 and 21.3 %, respectively; indicating very good performance. Wet climate scenarios with shallow initial water table depths indicated a high risk of waterlogging, whereas deeper initial depths showed reduced risk and increased usability of water for crops. The Argiudoll soil showed greater sensitivity to changes in the climate conditions, while Haplustoll and Hapludoll soils were less responsive. Overall, the WTF model provides a valuable tool for farmers, enabling them to make informed decisions about water management and crop planning. By simplifying the complex dynamics of water table fluctuations into an accessible format, the model enhances the capacity of farmers to adapt to changing environmental conditions, thereby supporting sustainable agricultural practices in the Argentinean Pampas.
publishDate 2025
dc.date.none.fl_str_mv 2025-04-23T14:38:31Z
2025-04-23T14:38:31Z
2025-06
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/20.500.12123/22023
https://www.sciencedirect.com/science/article/abs/pii/S2352009425000410
2352-0094
https://doi.org/10.1016/j.geodrs.2025.e00956
url http://hdl.handle.net/20.500.12123/22023
https://www.sciencedirect.com/science/article/abs/pii/S2352009425000410
https://doi.org/10.1016/j.geodrs.2025.e00956
identifier_str_mv 2352-0094
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2023-PE-L03-I024, Innovaciones tecnológicas y organizacionales para la gestión integrada de los recursos naturales
info:eu-repograntAgreement/INTA/2023-PE-L01-I012, Intensificación Sostenible de la Agricultura Extensiva en la Región Pampeana
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Geoderma Regional 41 : e00956. (June 2025)
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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