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A linked modelling framework to explore interactions among climate, soil water, and land use decisions in the Argentine Pampas

Colaborador(es): García, Guillermo A. Universidad Nacional de San Luis. Instituto de Matemática Aplicada. Grupo de Estudios Ambientales. San Luis, Argentina. CONICET - Universidad Nacional de San Luis, San Luis, Argentina. CREA Argentina, Argentina | García, Pablo E. Instituto Nacional Del Agua. Laboratorio de Hidráulica. Ezeiza, Buenos Aires, Argentina | Rovere, Santiago L. Independent Scholar, Argentina | Bert, Federico E. CREA Argentina, Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura. Buenos Aires, Argentina | Schmidt, Federico. Independent Scholar, Argentina | Menéndez, Angel N. Instituto Nacional Del Agua. Laboratorio de Hidráulica. Ezeiza, Buenos Aires, Argentina | Nosetto, Marcelo Daniel. Universidad Nacional de San Luis. Instituto de Matemática Aplicada. Grupo de Estudios Ambientales. San Luis, Argentina. CONICET - Universidad Nacional de San Luis, San Luis, Argentina. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias. Cátedra de Climatología Agrícola.Oro Verde, Entre Ríos, Argentina | Verdin, Andrew. University of Colorado. Department of Civil, Environmental, and Architectural Engineering. Boulder, CO, USA | Rajagopalan, Balaji. University of Colorado. Department of Civil, Environmental, and Architectural Engineering. Boulder, CO, USA | Arora, Poonam. Manhattan College. Department of Management, School of Business. Riverdale, NY, USA | Podestá, Guillermo P. University of Miami. Rosentiel School of Marine and Atmospheric Science, Miami, FL, USA.
ISSN: 1364-8152.Tipo de material: Artículos y capítulos. Recurso electrónico.Tema(s): NATURAL - HUMAN SYSTEMS | MIKE SHE | AGENT - BASED MODEL | AGRICULTURE | WATER TABLE | RISK MANAGEMENT | Recursos en línea: Haga clic para acceso en línea | LINK AL EDITOR En: Environmental Modelling and Software vol.111 (2019), p.459-471, grafs.Resumen: In flat environments, groundwater is relatively shallow, tightly associated with surface water and climate, and can have either positive and negative impacts on natural and human systems depending on its depth. A linked modelling and analysis framework that seeks to capture linkages across multiple scales at the climate/water/crop nexus in the Argentine Pampas is presented. This region shows a strong coupling between climate, soil water, and land use due to its extremely flat topography and poorly developed drainage networks. The work describes the components of the framework and, subsequently, presents results from simulations performed with the twin goals of (i) validating the framework as a whole and (ii) demonstrating its usefulness to explore interesting contexts such as unexperienced climate scenarios (wet/dry periods), hypothetical policies (e.g., differential grains export taxes), and adoption of non-structural technologies (e.g., cover crops) to manage water table depth.
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In flat environments, groundwater is relatively shallow, tightly associated with surface water and climate, and can have either positive and negative impacts on natural and human systems depending on its depth. A linked modelling and analysis framework that seeks to capture linkages across multiple scales at the climate/water/crop nexus in the Argentine Pampas is presented. This region shows a strong coupling between climate, soil water, and land use due to its extremely flat topography and poorly developed drainage networks. The work describes the components of the framework and, subsequently, presents results from simulations performed with the twin goals of (i) validating the framework as a whole and (ii) demonstrating its usefulness to explore interesting contexts such as unexperienced climate scenarios (wet/dry periods), hypothetical policies (e.g., differential grains export taxes), and adoption of non-structural technologies (e.g., cover crops) to manage water table depth.

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