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

Guillermo A. García, Pablo E. García, Santiago L. Rovere, Federico E. Bert, Federico Schmidt, Ángel N. Menéndez, Marcelo D. Nosetto, Andrew Verdin, Balaji Rajagopalan, Poonam Arora, Guillermo P Podesta

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)459-471
Number of pages13
JournalEnvironmental Modelling and Software
DOIs
StatePublished - Jan 1 2019

Keywords

  • Agent-based model
  • Agriculture
  • MIKE SHE
  • Natural-human systems
  • Risk management
  • Water table

ASJC Scopus subject areas

  • Software
  • Environmental Engineering
  • Ecological Modeling

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    García, G. A., García, P. E., Rovere, S. L., Bert, F. E., Schmidt, F., Menéndez, Á. N., Nosetto, M. D., Verdin, A., Rajagopalan, B., Arora, P., & Podesta, G. P. (2019). A linked modelling framework to explore interactions among climate, soil water, and land use decisions in the Argentine Pampas. Environmental Modelling and Software, 459-471. https://doi.org/10.1016/j.envsoft.2018.10.013