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Sustainable Farming Behaviours: An Agent Based Modelling and LCA Perspective

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Agent-Based Modeling of Sustainable Behaviors

Abstract

The paper is focused on the application of ABM (Agent Based Models) to simulate the evolution of the agricultural system of the Grand Duchy of Luxembourg, which aims at the evaluation of the potential environmental impacts arising from policy implementation, following the methodology known as Consequential Life Cycle Assessment (CLCA). The novelty of our approach is on the multi-modeling consideration of the problem of how to evaluate potential environmental impact of farmer’s behaviours. We consider the coupling of a computational model (ABM) and a matrix-based LCA model. The paper only presents preliminary results, exploring the influence of farmers’ environmental awareness on the environmental impacts linked to farming activities. This is possible thanks to the attribution to the agents’ profiles of one specific feature which simulates their “green consciousness level”.

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Notes

  1. 1.

    Now known as Luxembourg Institute of Socio-economic research http://www.liser.lu.

  2. 2.

    The details of the data are available in [19].

  3. 3.

    A flik is the smallest geo-referenced land element registered at the cadaster in Luxembourg.

  4. 4.

    This specific OTE is defined as 2∕3 of activity is field crops.

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Acknowledgements

Luxembourg’s National Research Fund (FNR) is acknowledged for the financial support of project MUSA with id: C12/SR/4011535.

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Correspondence to Tomás Navarrete Gutiérrez .

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Navarrete Gutiérrez, T., Rege, S., Marvuglia, A., Benetto, E. (2017). Sustainable Farming Behaviours: An Agent Based Modelling and LCA Perspective. In: Alonso-Betanzos, A., et al. Agent-Based Modeling of Sustainable Behaviors. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-46331-5_9

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