A linked modelling framework to explore interactions among climate, soil water, and land use decisions in the Argentine Pampas. (January 2019)
- Record Type:
- Journal Article
- Title:
- A linked modelling framework to explore interactions among climate, soil water, and land use decisions in the Argentine Pampas. (January 2019)
- Main Title:
- A linked modelling framework to explore interactions among climate, soil water, and land use decisions in the Argentine Pampas
- Authors:
- García, Guillermo A.
García, Pablo E.
Rovere, Santiago L.
Bert, Federico E.
Schmidt, Federico
Menéndez, Ángel N.
Nosetto, Marcelo D.
Verdin, Andrew
Rajagopalan, Balaji
Arora, Poonam
Podestá, Guillermo P. - Abstract:
- 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. Highlights: We explored climate, soil water, and land use interactions in the Argentine Pampas. A linked modelling framework was implemented to explore the climate/water/crop nexus. The modelling framework was conceptually validated as a whole. Simulation of interesting and complex scenarios proved the framework usefulness. Adoption of cover crops can reduce the risk of waterlogging and flooding.
- Is Part Of:
- Environmental modelling & software. Volume 111(2019)
- Journal:
- Environmental modelling & software
- Issue:
- Volume 111(2019)
- Issue Display:
- Volume 111, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 111
- Issue:
- 2019
- Issue Sort Value:
- 2019-0111-2019-0000
- Page Start:
- 459
- Page End:
- 471
- Publication Date:
- 2019-01
- Subjects:
- Natural-human systems -- MIKE SHE -- Agent-based model -- Agriculture -- Water table -- Risk management
SAB Salado A Basin -- WTD water table depth -- PM Pampas Model -- PI productivity index -- DSSAT Decision Support System for Agrotechnology Transfer -- LAI leaf area index -- RD root depth -- SRTM Shuttle Radar Topographic Mission -- INTA National Agricultural Technology Institute (Argentina) -- SMN National Meteorological Service (Argentina)
Environmental monitoring -- Computer programs -- Periodicals
Ecology -- Computer simulation -- Periodicals
Digital computer simulation -- Periodicals
Computer software -- Periodicals
Environmental Monitoring -- Periodicals
Computer Simulation -- Periodicals
Environnement -- Surveillance -- Logiciels -- Périodiques
Écologie -- Simulation, Méthodes de -- Périodiques
Simulation par ordinateur -- Périodiques
Logiciels -- Périodiques
Computer software
Digital computer simulation
Ecology -- Computer simulation
Environmental monitoring -- Computer programs
Periodicals
Electronic journals
363.70015118 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13648152 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envsoft.2018.10.013 ↗
- Languages:
- English
- ISSNs:
- 1364-8152
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.522800
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- 21602.xml