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

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.

[1]  W. Pengue,et al.  Transgenic Crops in Argentina: The Ecological and Social Debt , 2005 .

[2]  J. Paruelo,et al.  Research, part of a Special Feature on The influence of human demography and agriculture on natural systems in the Neotropics Land-Use and Land Cover Dynamics in South American Temperate Grasslands , 2008 .

[3]  K. Happe,et al.  Conceptual Framework For Analysing Structural Change In Agriculture And Rural Livelihoods , 2007 .

[4]  Daniel A. Levinthal,et al.  A model of adaptive organizational search , 1981 .

[5]  Sarah Davis,et al.  Complexity, land-use modeling, and the human dimension: Fundamental challenges for mapping unknown outcome spaces , 2008 .

[6]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[7]  M. Gallacher,et al.  The Changing Structure of Production: Argentine Agriculture 1988-2002 , 2009 .

[8]  Debraj Ray,et al.  Evolving Aspirations and Cooperation , 1998 .

[9]  Greg Traxler,et al.  Roundup Ready soybeans in Argentina: farm level and aggregate welfare effects , 2004 .

[10]  Andrew Reeson,et al.  Agent‐based modeling in ecological economics , 2010, Annals of the New York Academy of Sciences.

[11]  Johannes Lenhard,et al.  Validation of Simulation: Patterns in the Social and Natural Sciences , 2005, J. Artif. Soc. Soc. Simul..

[12]  Sirkku Juhola,et al.  Challenges of adaptation to climate change across multiple scales: A case study of network governance in two European countries , 2011 .

[13]  K. Beratan A Cognition-based View of Decision Processes in Complex Social–Ecological Systems , 2007 .

[14]  Gregory R. Madey,et al.  Tools of the Trade: A Survey of Various Agent Based Modeling Platforms , 2009, J. Artif. Soc. Soc. Simul..

[15]  James W. Jones,et al.  The DSSAT cropping system model , 2003 .

[16]  Nicholas Mark Gotts,et al.  Using Qualitative Evidence to Enhance an Agent-Based Modelling System for Studying Land Use Change , 2010, J. Artif. Soc. Soc. Simul..

[17]  Eduardo Trigo,et al.  The impact of the introduction of transgenic crops in Argentinean agriculture , 2003 .

[18]  Scott Moss,et al.  Alternative Approaches to the Empirical Validation of Agent-Based Models , 2007, J. Artif. Soc. Soc. Simul..

[19]  Arne Hallam,et al.  Economies of Size and Scale in Agriculture: An Interpretive Review of Empirical Measurement , 1991 .

[20]  I. Monterroso,et al.  ''Transgenic treadmill": Responses to the emergence and spread of glyphosate-resistant johnsongrass in Argentina , 2009 .

[21]  Paul Windrum,et al.  Empirical Validation in Agent-based Models: Introduction to the Special Issue , 2007 .

[22]  Spiro E. Stefanou,et al.  ECONOMIES OF SIZE REVISITED , 1988 .

[23]  Ya-Ru Chen,et al.  Aspiration-Level Adaptation in an American Financial Services Organization: A Field Study , 2002, Manag. Sci..

[24]  Theresa K. Lant,et al.  Aspiration Level Adaptation: An Empirical Exploration , 1992 .

[25]  Michael Batty,et al.  SERIES Key Challenges in Agent-Based Modelling for GeoSpatial Simulation , 2007 .

[26]  François Bousquet,et al.  Modelling with stakeholders , 2010, Environ. Model. Softw..

[27]  Jeroen van de Ven,et al.  Aspiration Level, Probability of Success and Failure, and Expected Utility , 2008 .

[28]  Kathrin Happe,et al.  Agent-Based Modelling and Sensitivity Analysis by Experimental Design and Metamodelling: An Application to Modelling Regional Structural Change , 2005 .

[29]  James Nolan,et al.  An Agent‐Based Simulation Model of Structural Change in Canadian Prairie Agriculture, 1960–2000 , 2009 .

[30]  Hallie Eakin,et al.  Linking local vulnerability to system sustainability in a resilience framework: two cases from Latin America , 2009 .

[31]  M. Janssen,et al.  Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review , 2003 .

[32]  Daniel A. Levinthal,et al.  Learning from Experience in Organizations , 1985 .

[33]  Pierre Bommel,et al.  Modéliser le changement dans la gestion des terres de parcours en Uruguay , 2010 .

[34]  M. Piñeiro,et al.  Modernización agrícola y nuevos actores sociales , 2005 .

[35]  Kes McCormick,et al.  The emerging liquid biofuel market in Argentina: Implications for domestic demand and international trade , 2008 .

[36]  Micheline Manseau,et al.  Research, part of a Special Feature on Crossing Scales and Disciplines to Achieve Forest Sustainability Indigenous Knowledge and Values in Planning for Sustainable Forestry: Pikangikum First Nation and the Whitefeather Forest Initiative , 2008 .

[37]  Alfons Balmann,et al.  THE AGRICULTURAL POLICY SIMULATOR (AGRIPOLIS) AN AGENT-BASED MODEL TO STUDY STRUCTURAL CHANGE IN AGRICULTURE (VERSION 1.0) , 2004 .

[38]  Alfons Balmann,et al.  Does structure matter? The impact of switching the agricultural policy regime on farm structures , 2008 .

[39]  D. Parker,et al.  An Overview of Computational Modeling in Agricultural and Resource Economics , 2009 .

[40]  Johannes Lenhard,et al.  Validation of Simulation: Patterns in the Natural and Social Sciences , 2005 .

[41]  W. Vargas,et al.  Non-linear trends and low frequency oscillations in annual precipitation over Argentina and Chile, 1931-1999 , 2003 .

[42]  Daniel Deybe,et al.  A regional agricultural model using a plant growth simulation program as activities generator— an application to a region in Argentina , 1991 .

[43]  T. Rood,et al.  Biodiversity and Socioeconomic Impacts of Selected Agro-Commodity Production Systems , 2007 .

[44]  P. Calviño,et al.  Farming Systems of Argentina: Yield Constraints and Risk Management , 2009 .

[45]  Steven L. Lytinen,et al.  Agent-based Simulation Platforms: Review and Development Recommendations , 2006, Simul..

[46]  Zur Shapira,et al.  Managerial reasoning about aspirations and expectations , 2008 .

[47]  Thomas Berger,et al.  Agent-based spatial models applied to agriculture: A simulation tool , 2001 .

[48]  David Manuel-Navarrete,et al.  Multi-causal and integrated assessment of sustainability: the case of agriculturization in the Argentine Pampas , 2009 .

[49]  M. Carolan Barriers to the Adoption of Sustainable Agriculture on Rented Land: An Examination of Contesting Social Fields* , 2005 .

[50]  D. Sumner,et al.  Are Farm Size Distributions Bimodal? Evidence from Kernel Density Estimates of Dairy Farm Size Distributions , 2001 .

[51]  Nicholas Mark Gotts,et al.  ASPIRATION LEVELS IN A LAND USE SIMULATION , 2003, Cybern. Syst..

[52]  Thomas Berger,et al.  Multi-agent simulation for the targeting of development policies in less-favored areas , 2006 .

[53]  Thomas Berger,et al.  An agent-based simulation model of human-environment interactions in agricultural systems , 2011, Environ. Model. Softw..

[54]  M. Travasso,et al.  Changes in Climate and Crop Production During the 20th Century in Argentina , 2005 .

[55]  Esteban G. Jobbágy,et al.  Ecological and environmental footprint of 50 years of agricultural expansion in Argentina , 2011 .

[56]  J. Dardanelli,et al.  Predicting on-farm soybean yields in the pampas using CROPGRO-soybean , 2007 .

[57]  Raymond R. Hill,et al.  A Survey of Agent-Based Modeling Practices (January 1998 to July 2008) , 2009, J. Artif. Soc. Soc. Simul..

[58]  D. Miljković Measuring and causes of inequality in farm sizes in the United States , 2005 .

[59]  Birgit Müller,et al.  A standard protocol for describing individual-based and agent-based models , 2006 .

[60]  E. Viglizzo,et al.  Climate and land-use change in field-crop ecosystems of Argentina , 1997 .

[61]  Carlos E. Reborati Efectos sociales de los cambios en la agricultura. , 2005 .

[62]  Jin Wu,et al.  Ontology-based simulation in agricultural systems modeling , 2010 .

[63]  Kathrin Happe,et al.  Will they stay or will they go? Simulating the dynamics of single-holder farms in a dualistic farm structure in Slovakia. , 2009 .

[64]  Itzhak Gilboa,et al.  Reaction to price changes and aspiration level adjustments , 2001 .

[65]  K. Wiebe,et al.  Land Tenure and the Adoption of Conservation Practices , 2000 .

[66]  J. Gareth Polhill,et al.  The ODD protocol: A review and first update , 2010, Ecological Modelling.

[67]  Sander Janssen,et al.  Defining assessment projects and scenarios for policy support: Use of ontology in Integrated Assessment and Modelling , 2009, Environ. Model. Softw..

[68]  Adrie J. M. Beulens,et al.  Validation of an agent-based model for spatial planning: A role-playing approach , 2010, Comput. Environ. Urban Syst..

[69]  J. Gareth Polhill,et al.  Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change , 2008, J. Artif. Soc. Soc. Simul..

[70]  G. Nigel Gilbert,et al.  Caffè Nero: the Evaluation of Social Simulation , 2005, J. Artif. Soc. Soc. Simul..

[71]  J. Gareth Polhill,et al.  Agent-based land-use models: a review of applications , 2007, Landscape Ecology.

[72]  Michael J. North,et al.  Experiences creating three implementations of the repast agent modeling toolkit , 2006, TOMC.