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. Podestá

Research output: Contribution to journalArticlepeer-review

6 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
Volume111
DOIs
StatePublished - Jan 2019

Bibliographical note

Funding Information:
This research was supported by the National Science Foundation (NSF, USA) grant 1211613 (Dynamics of Coupled Natural and Human Systems), by the Inter-American Institute for Global Change Research (IAI) grant CRN-3035 (The IAI is supported by the NSF grant GEO-1128040), by the National Agency for Science and Technology Promotion (ANPCyT, Argentina) grant PICT 2790/14, and by the National Scientific and Technical Research Council (CONICET, Argentina) grant PIP 112-201501-00609. GAG held a postdoctoral fellowship from CONICET. Climate data were kindly provided by the Regional Climate Centre for Southern South America.

Funding Information:
This research was supported by the National Science Foundation (NSF, USA) grant 1211613 (Dynamics of Coupled Natural and Human Systems), by the Inter-American Institute for Global Change Research (IAI) grant CRN-3035 (The IAI is supported by the NSF grant GEO-1128040 ), by the National Agency for Science and Technology Promotion (ANPCyT, Argentina) grant PICT 2790/14 , and by the National Scientific and Technical Research Council (CONICET, Argentina) grant PIP 112-201501-00609 . GAG held a postdoctoral fellowship from CONICET. Climate data were kindly provided by the Regional Climate Centre for Southern South America.

Publisher Copyright:
© 2018 Elsevier Ltd

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

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

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