Scriban Arthur, Nabeneza Serge, Cornelis Daniel, Delay Etienne, Vayssières Jonathan, Cesaro Jean-Daniel, Salgado Paulo. 2024. GPS-based hidden Markov models to document pastoral mobility in the Sahel. Sensors, 24 (21):6964, 21 p.
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Url - autres données associées : https://gitlab.cirad.fr/selmet/hamac / Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/GHJKQO
Résumé : In agrarian systems where animal mobility is crucial for feed management, nutrient cycles and household economy, there is a notable lack of precise data on livestock mobility and herding practices. We introduce a methodology leveraging GPS-based behavioural models to analyse and document pastoral mobility in the Sahel. Over 2.5 years, we conducted a continuous collection of GPS data from transhumant and resident cattle herds in the Senegalese agropastoral semiarid rangelands. We developed a Hidden Markov Model robustly fitted to these data to classify recordings into three states of activity: resting (47% overall), foraging (37%) and travelling (16%). We detail our process for selecting the states and testing data subsets to guide future similar endeavours. The model describes state changes and how temperature affects them. By combining the resulting dataset with satellite-based land-use data, we show the distribution of activities across landscapes and seasons and within a day. We accurately reproduced key aspects of cattle mobility and characterised rarely documented features of Sahel agropastoral practices, such as transhumance phases, nocturnal grazing and in-field rainy season paddocking. These results suggest that our methodology, which we make available, could be valuable in addressing issues related to the future of Sahelian pastoralism.
Mots-clés Agrovoc : pastoralisme, transhumance, système agropastoral, transmission des maladies, structure agraire, système de positionnement global, modèle de simulation
Mots-clés géographiques Agrovoc : Sahel, Sénégal
Mots-clés libres : Herding practices, Agropastoral systems, Transhumance, Cattle behaviour model, GPS collar, Semi-arid rangeland, West Africa
Classification Agris : L01 - Élevage - Considérations générales
U30 - Méthodes de recherche
Champ stratégique Cirad : CTS 5 (2019-) - Territoires
Agences de financement hors UE : Agropolis Fondation, Agence Nationale de la Recherche, Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Projets sur financement : (FRA) Dynamics of Soil Carbon Sequestration in Agricultural Systems, (FRA) Labex Agro
Auteurs et affiliations
- Scriban Arthur, CIRAD-ES-UMR SELMET (FRA) ORCID: 0000-0002-4557-3457 - auteur correspondant
- Nabeneza Serge, CIRAD-ES-UMR SELMET (FRA)
- Cornelis Daniel, CIRAD-ES-UPR Forêts et sociétés (FRA)
- Delay Etienne, CIRAD-ES-UMR SENS (SEN) ORCID: 0000-0001-6633-6269
- Vayssières Jonathan, CIRAD-ES-UMR SELMET (REU) ORCID: 0000-0003-3127-7208
- Cesaro Jean-Daniel, CIRAD-ES-UMR SELMET (FRA) ORCID: 0000-0001-7019-5657
- Salgado Paulo, CIRAD-ES-UMR SELMET (SEN)
Source : Cirad-Agritrop (https://agritrop.cirad.fr/610970/)
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