Fostering local crop-livestock integration via legume exchanges using an innovative integrated assessment and modelling approach based on the MAELIA platform

Type de document
journalArticle
Langue source
Anglais
Titre français
Titre anglais
Fostering local crop-livestock integration via legume exchanges using an innovative integrated assessment and modelling approach based on the MAELIA platform
Auteur(s)
  • CATARINO Rui
  • THEROND Olivier
  • BERTHOMIER Jérémy
  • MIARA Maurice
  • MÉROT Emmanuel
  • MISSLIN Renaud
  • VANHOVE Paul
  • VILLERD Jean
  • ANGEVIN Frédérique
Editeur(s)
Autre(s)
Id
FVUXJ7CG
Version
3107
Date ajout
28 janvier 2021 16:53
Date modification
8 avril 2021 17:56
Résumé anglais
CONTEXT Crop diversification is now well-recognised as a strong lever to address the environmental challenges currently faced by agriculture. Connecting and fostering local exchanges between specialised arable crop and livestock farms can support the diversification of crops and relocate animal feeding with local protein (vs. soya supplements). However, the trade-offs and synergies between individual and collective objectives and performances generated by this system are still largely unknown. Innovative tools that consider the spatiotemporal heterogeneity underpinning the daily functioning of farms are needed to explore the implications of exchange scenarios. OBJECTIVES To assess self-sufficiency, sustainability and vulnerability at the farm, group (arable vs. livestock) and territorial levels considering the baseline situation and scenarios that increase synergy between arable and livestock farms. METHODS We demonstrated the utility of using MAELIA, a spatial agent-based integrated modelling framework, to support iterative design and assessment of self-sufficiency, sustainability and vulnerability of such scenarios. MAELIA was applied to model a collective of five arable and two livestock farmers in western France. In a participatory approach, scientists, agricultural advisers and the farmers co-designed three possible scenarios of legume exchanges. RESULTS AND CONCLUSIONS Only the most ambitious scenario based on strong collaboration allowed farmers to reach local protein self-sufficiency while reducing the variability in five of the seven indicators used to assess farm performances. Meeting livestock farms' demand for legumes had a positive influence on socio-economic performance at the territorial level, including an increase in the mean gross margin (of 71 €/ha; 4% higher), decrease in the use of nitrogen fertiliser (of ca. 21 kg N/ha; 11% lower) and decrease in labour time (of ca. 12 min/ha; 5% lower). No major trade-offs between self-sufficiency and vulnerability were observed. However, there were distinct individual performances related to the degree of changes imposed on each farm. SIGNIFICANCE We show that by reducing the dependence to external inputs, these systems are promising alternatives to an environmentally sustainable, resilient and economically viable agroecological transition. The development of dedicated institutional support for direct bilateral or multilateral agreements, and specific financial and technical support would encourage farmers to join such initiatives and redesign their farming systems.
Note
None
CRAW tags
  • AB - Utile à l'AB
  • CRA-W
  • FREDO aspect technico-économique
  • FREDO association
  • FREDO durabilité
  • FREDO environnement
  • FREDO technologie et innovation
  • GEO Belgique
  • GEO Europe
  • GEO France
  • agroécologie
  • exchange network
  • indicateurs
  • légumineuses
  • outil
  • participatory approach
  • protéine
  • élevage
WEB tags
  • agent-based modelling
  • agroecological transition
  • decision support system
  • multi-criteria analysis
  • participatory design
  • social-ecological system
Titre de la publication
Agricultural Systems
Volume
189
Pages
103066
Date caractères
April 1, 2021
Date publication
1 avril 2021
Doi
10.1016/j.agsy.2021.103066 Le DOI est une URL unique de référencement d'une publication. Il est donc plus fiable et permanent qu'une URL classique
Issn
0308-521X L’ISSN est un code de 8 chiffres servant à identifier les journaux, revues, magazines, périodiques de toute nature et sur tous supports, papier comme électronique.