An agent based model to simulate structural and land use changes in agricultural systems of the argentine pampas

Federico E. Bert, Guillermo P. Podestá, Santiago L. Rovere, Ángel N. Menéndez, Michael North, Eric Tatara, Carlos E. Laciana, Elke Weber and Fernando Ruiz Toranzo

Ecological Modelling, 2011, vol. 222, issue 19, 3486-3499

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.

Keywords: Agent-based; Agricultural production; Land rental; Land allocation; Aspiration level (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (27)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:222:y:2011:i:19:p:3486-3499

DOI: 10.1016/j.ecolmodel.2011.08.007

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