Agent-based modeling of the spatio-temporal distribution of Sahelian transhumant herds

Traore Cheick Amed Diloma Gabriel, Delay Etienne, Bah Alassane, Diop Djibril. 2023. Agent-based modeling of the spatio-temporal distribution of Sahelian transhumant herds. In : Intelligent systems and applications: Proceedings of the 2022 Intelligent Systems Conference (IntelliSys) Volume 2. Arai Kohei (ed.). Cham : Springer, 630-645. (Lecture Notes in Networks and Systems, 543) ISBN 978-3-031-16077-6 Intelligent Systems Conference 2022 (IntelliSys 2022), Amsterdam, Pays-Bas, 1 Septembre 2022/2 Septembre 2022.

Résumé : Sahelian transhumance is a seasonal pastoral mobility between the transhumant's terroir of origin and one or more host terroirs. Sahelian transhumance can last several months and extend over hundreds of kilometers. Its purpose is to ensure efficient and inexpensive feeding of the herd's ruminants. This paper describes an agent-based model to determine the spatio-temporal distribution of Sahelian transhumant herds and their impact on vegetation. Three scenarios based on different values of rainfall and the proportion of vegetation that can be grazed by transhumant herds are simulated. The results of the simulations show that the impact of Sahelian transhumant herds on vegetation is not significant and that rainfall does not impact the alley phase of transhumance. The beginning of the rainy season has a strong temporal impact on the spatial distribution of transhumant herds during the return phase of transhumance.

Mots-clés libres : Extensive livestock farming, Agro-pastoral ecosystem, Sub-Saharan Africa, Agent-Based Model, Distributed artificial intelligence

Auteurs et affiliations

• Traore Cheick Amed Diloma Gabriel, University Cheikh Anta Diop of Dakar (SEN)
• Delay Etienne, CIRAD-ES-UMR SENS (SEN) ORCID: 0000-0001-6633-6269
• Bah Alassane, UCAD (SEN)
• Diop Djibril, ISRA (SEN)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608311/)

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