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

doi:10.1016/j.envsoft.2018.10.013

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

Institute for Social Research & Data Innovation

Research output: Contribution to journal › Article › peer-review

20 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 language	English (US)
Pages (from-to)	459-471
Number of pages	13
Journal	Environmental Modelling and Software
Volume	111
DOIs	https://doi.org/10.1016/j.envsoft.2018.10.013
State	Published - 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

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.envsoft.2018.10.013

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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., & Podestá, 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, 111, 459-471. https://doi.org/10.1016/j.envsoft.2018.10.013

García, GA, García, PE, Rovere, SL, Bert, FE, Schmidt, F, Menéndez, ÁN, Nosetto, MD, Verdin, A, Rajagopalan, B, Arora, P & Podestá, GP 2019, 'A linked modelling framework to explore interactions among climate, soil water, and land use decisions in the Argentine Pampas', Environmental Modelling and Software, vol. 111, pp. 459-471. https://doi.org/10.1016/j.envsoft.2018.10.013

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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.",

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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: {\textcopyright} 2018 Elsevier Ltd",

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AU - García, Guillermo A.

AU - García, Pablo E.

AU - Rovere, Santiago L.

AU - Bert, Federico E.

AU - Schmidt, Federico

AU - Menéndez, Ángel N.

AU - Nosetto, Marcelo D.

AU - Verdin, Andrew

AU - Rajagopalan, Balaji

AU - Arora, Poonam

AU - Podestá, Guillermo P.

N1 - 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

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N2 - 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.

AB - 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.

KW - Agent-based model

KW - Agriculture

KW - MIKE SHE

KW - Natural-human systems

KW - Risk management

KW - Water table

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SN - 1364-8152

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JO - Environmental Modelling and Software

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ER -

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

Abstract

Bibliographical note

Keywords

UN SDGs

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