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Modelling Indigenous small-scale agriculture and food systems in Guatemala - Hybrid Bayesian inference for data-poor regions

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  • Malard-Adam, Julien
  • Adamowski, Jan
  • Tuy, Héctor
  • Melgar-Quiñonez, Hugo

Abstract

Participatory system dynamics modelling is a useful method for characterising agricultural systems and the complex dynamics linking their human and agronomic counterparts that determine their long-term behaviour and sustainability. One challenge facing this use of system dynamics methods, nonetheless, is the scarcity of time-series data for many key variables, which hinders the calibration and validation of these models.

Suggested Citation

  • Malard-Adam, Julien & Adamowski, Jan & Tuy, Héctor & Melgar-Quiñonez, Hugo, 2024. "Modelling Indigenous small-scale agriculture and food systems in Guatemala - Hybrid Bayesian inference for data-poor regions," Agricultural Systems, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:agisys:v:221:y:2024:i:c:s0308521x2400252x
    DOI: 10.1016/j.agsy.2024.104102
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    References listed on IDEAS

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