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Conference Papers Year : 2020

MAELIA - An innovative integrated modelling tool to assess and design territorial crop-livestock systems

Abstract

Fostering local exchanges between specialized arable and livestock farms can simultaneously help to develop crop diversification and re-localization of livestock feed production, two major sustainability challenges of industrial agriculture. However, the aggregated benefits and drawbacks of developing a “Territorial Crop-Livestock System” (TCLS) based on exchanges are yet to be established. A major lock-in is the lack of decision support systems to analyse the underpinning dynamics and associated uncertainties of necessary socio-technical changes and to design necessary organizational aspects within and among farms. This paper presents an innovative high-resolution multi-agent and dynamic spatial modelling framework of the agricultural landscape, MAELIA, developed to overcome these issues. MAELIA supports interactive integrated assessment and design of TCLS scenarios to analyse the trade-offs and synergies between the individual and collective objectives and performances. We applied MAELIA to support a group of five arable and two livestock farmers in West France in the design and assessment of credible, salient and legitimate exchanges. With MAELIA, we explore three selected scenarios, co-designed with farmers, advisors and scientists that converges the production capacities from arable farmers to the needs of livestock farmers. With a set of 13 sustainability and resilience indicators, we identify sources of variabilities of exchange flows (uncertainties) and possible solutions to manage them. Simulations outcomes provide further evidence that local self-sufficiency in animal-feed and resilience against economic and climate shocks can be achieved. Both our results and methodology can be used to support policymakers, as future policies and strategies need to be defined at the relevant levels at which impacts (e.g. biodiversity and economic return) and decisions occur, i.e. at the local level.
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Dates and versions

hal-02942379 , version 1 (17-09-2020)

Identifiers

  • HAL Id : hal-02942379 , version 1

Cite

Rui Catarino, Frédérique Angevin, Jérémy Berthomier, Christian C. Bockstaller, Emmanuel Mérot, et al.. MAELIA - An innovative integrated modelling tool to assess and design territorial crop-livestock systems. 10th International Congress on Environmental Modelling and Software, Sep 2020, Brussels, Belgium. ⟨hal-02942379⟩

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