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dc.contributor.author
Bert, Federico Esteban  
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Podesta, Guillermo P.  
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Rovere, Santiago L.  
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Menendez, Angel N.  
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North, Michael  
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Tatara, Eric  
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Laciana, Carlos E.  
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Weber, Elke  
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Ruiz Toranzo, Fernando  
dc.date.available
2017-04-25T15:25:56Z  
dc.date.issued
2011-09  
dc.identifier.citation
Bert, Federico Esteban; Podesta, Guillermo P.; Rovere, Santiago L.; Menendez, Angel N.; North, Michael; et al.; An agent based model to simulate structural and land use changes in agricultural systems of the argentine pampas; Elsevier; Ecological Modelling; 222; 19; 9-2011; 3486-3499  
dc.identifier.issn
0304-3800  
dc.identifier.uri
http://hdl.handle.net/11336/15701  
dc.description.abstract
The Argentine Pampas, one of the main agricultural areas in the world, recently has undergone significant changes in land use and structural characteristics of agricultural production systems. Concerns about the environmental and societal impacts of the changes motivated development of an agent-based model (ABM) to gain insight on processes underlying recent observed patterns. The model is described following a standard protocol (ODD). Results are discussed for an initial set of simplified simulations performed to understand the processes that generated and magnified the changes in the Pampas. Changes in the structure of agricultural production and land tenure seem to be driven by differences among farmers’ ability to generate sufficient agricultural income to remain in business. In turn, as no off-farm or credit is modeled, economic sustainability is tied to initial resource endowment (area cropped). Farmers operating small areas are economically unviable and must lease out their farms to farmers operating larger areas. This leads to two patterns: (a) a concentration of production (fewer farmers operating larger areas) and, (b) an increase in the area operated by tenants. The simulations showed an increase of soybean area, linked to the higher profitability of this crop. Despite the stylized nature of initial simulations, all emerging patterns are highly consistent with changes observed in the Pampas.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/  
dc.subject
Agent-Based  
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Agricultural Production  
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Land Rental  
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Land Allocation  
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Aspiration Level  
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Agricultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
An agent based model to simulate structural and land use changes in agricultural systems of the argentine pampas  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
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info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-04-24T20:42:03Z  
dc.journal.volume
222  
dc.journal.number
19  
dc.journal.pagination
3486-3499  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Bert, Federico Esteban. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Cátedra de Cerealicultura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario; Argentina  
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Fil: Podesta, Guillermo P.. University Of Miami. Rosenstiel School Of Marine Atmospheric Science. Meteorology And Physical Oceanography; Estados Unidos  
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Fil: Rovere, Santiago L.. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina  
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Fil: Menendez, Angel N.. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina  
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Fil: North, Michael. Argonne National Laboratory; Estados Unidos  
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Fil: Tatara, Eric. Argonne National Laboratory; Estados Unidos  
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Fil: Laciana, Carlos E.. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina  
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Fil: Weber, Elke. Columbia University; Estados Unidos  
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Fil: Ruiz Toranzo, Fernando. Asociación Argentina de Consorcios Regionales de Experimentación Agrícola ; Argentina  
dc.journal.title
Ecological Modelling  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0304380011004248  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ecolmodel.2011.08.007