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Agent-Based Modeling of the Spatio-temporal Distribution of Sahelian Transhumant Herds

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Intelligent Systems and Applications (IntelliSys 2022)

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Abstract

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.

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Correspondence to Cheick Amed Diloma Gabriel Traore .

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This paper has been produced with the assistance of the European Union. Its content is the sole responsibility of (name of the beneficiary or beneficiaries) and can in no way be taken to reflect the position of the European Union.

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Traore, C.A.D.G., Delay, E., Bah, A., Diop, D. (2023). Agent-Based Modeling of the Spatio-temporal Distribution of Sahelian Transhumant Herds. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 543. Springer, Cham. https://doi.org/10.1007/978-3-031-16078-3_43

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