An in-silico analysis of information sharing systems for adaptable resources management: A case study of oyster farmers

Paget Nicolas, Bonte Bruno, Barreteau Olivier, Pigozzi Gabriella, Maurel Pierre. 2019. An in-silico analysis of information sharing systems for adaptable resources management: A case study of oyster farmers. Socio-Environmental Systems Modelling, 1 (1), 21 p.

Url - jeu de données - Entrepôt autre : https://doi.org/10.5281/zenodo.2546505

Résumé : Information sharing systems are often viewed as a potential way of increasing scrutiny by actors of their interactions with natural resources. Scrutiny is then seen as encouraging sustainable and adaptable management of the resource. We tackle this claim by using an agent-based model to focus on the specific issue of oyster farmers dealing with the deadly OsHV-1 virus by sharing information about their own experience (practices and outcomes) via their social network and/or an information sharing system. We followed closely what access to such information sharing means for the environment (production), agents (beliefs) and interactions between the environment and agents (practices). In the model, introducing information sharing leads to a decrease in mortality rates and a convergence in agents' beliefs. Agents stop changing their practices earlier when they share information, but heterogeneity in agent decision-making models leads to wider exploration of possible strategies and increased production. Agent-based modelling proved a suitable method for studying the impacts of information sharing.

Mots-clés Agrovoc : ostréiculture, diffusion de l'information, gestion des ressources naturelles

Mots-clés géographiques Agrovoc : France, Australie

Mots-clés libres : Information sharing, Oyster farming, Agent-Based Model, CORMAS

Classification Agris : M12 - Production de l'aquaculture
C30 - Documentation et information
M40 - Écologie aquatique
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 5 (2019-) - Territoires

Auteurs et affiliations

• Paget Nicolas, CIRAD-ES-UMR INNOVATION (FRA) ORCID: 0000-0002-8474-4642 - auteur correspondant
• Bonte Bruno, IRSTEA (FRA)
• Barreteau Olivier, IRSTEA (FRA)
• Pigozzi Gabriella, Université Paris-Dauphine-PSL (FRA)
• Maurel Pierre, IRSTEA (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/592474/)

Métriques

[ Page générée et mise en cache le 2024-11-06 ]