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

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 fo...

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Main Authors: Videla Mensegue, Horacio Rogelio, Magra, Maria Sofia, Macchiavello, Alejandra, Alvarez, Cristian, Noellemeyer, Elke, Caviglia, Octavio
Format: info:ar-repo/semantics/artículo
Language:Inglés
Published: Elsevier 2025
Subjects:
Online Access: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
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author Videla Mensegue, Horacio Rogelio
Magra, Maria Sofia
Macchiavello, Alejandra
Alvarez, Cristian
Noellemeyer, Elke
Caviglia, Octavio
author_browse Alvarez, Cristian
Caviglia, Octavio
Macchiavello, Alejandra
Magra, Maria Sofia
Noellemeyer, Elke
Videla Mensegue, Horacio Rogelio
author_facet Videla Mensegue, Horacio Rogelio
Magra, Maria Sofia
Macchiavello, Alejandra
Alvarez, Cristian
Noellemeyer, Elke
Caviglia, Octavio
author_sort Videla Mensegue, Horacio Rogelio
collection INTA Digital
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.
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
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spelling INTA220232025-04-23T14:41:44Z A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas Videla Mensegue, Horacio Rogelio Magra, Maria Sofia Macchiavello, Alejandra Alvarez, Cristian Noellemeyer, Elke Caviglia, Octavio Capa Freática Profundidad del agua Modelos Toma de Decisiones Groundwater Table Water Depth Models Decision Making Napa Freática Región Pampeana 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 2025-04-23T14:38:31Z 2025-04-23T14:38:31Z 2025-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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 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) application/pdf Elsevier Geoderma Regional 41 : e00956. (June 2025)
spellingShingle Capa Freática
Profundidad del agua
Modelos
Toma de Decisiones
Groundwater Table
Water Depth
Models
Decision Making
Napa Freática
Región Pampeana
Videla Mensegue, Horacio Rogelio
Magra, Maria Sofia
Macchiavello, Alejandra
Alvarez, Cristian
Noellemeyer, Elke
Caviglia, Octavio
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
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_short A simple model for water table fluctuations for agronomic decision making in the Argentinian Pampas
title_sort simple model for water table fluctuations for agronomic decision making in the argentinian pampas
topic Capa Freática
Profundidad del agua
Modelos
Toma de Decisiones
Groundwater Table
Water Depth
Models
Decision Making
Napa Freática
Región Pampeana
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
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