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

被引:2
|
作者
Traore, Cheick Amed Diloma Gabriel [1 ,4 ]
Delay, Etienne [2 ]
Bah, Alassane [3 ]
Diop, Djibril [1 ,4 ]
机构
[1] Univ Cheikh Anta Diop, Dept Math, Fac Sci & Tech, Dakar, Senegal
[2] CIRAD UMR SENS, Montpellier, France
[3] Univ Cheikh Anta Diop, Natl Adv Sch Engn, Dept Comp Engn, Dakar, Senegal
[4] Inst Senegalais Rech Agricoles ISRA, Bur Anal Macroeconom BAME, Dakar, Senegal
关键词
Extensive livestock farming; Agro-pastoral ecosystem; Sub-Saharan Africa; Agent-based system; Distributed artificial intelligence;
D O I
10.1007/978-3-031-16078-3_43
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:630 / 645
页数:16
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