Zengeya Fadzai, Murwira Amon, De Garine-Wichatitsky Michel. 2015. Inference of herder presence from GPS collar data of semi-free range cattle. Geocarto International, 30 (8) : 905-918.
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Quartile : Q2, Sujet : IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY / Quartile : Q3, Sujet : REMOTE SENSING / Quartile : Q3, Sujet : GEOSCIENCES, MULTIDISCIPLINARY / Quartile : Q3, Sujet : ENVIRONMENTAL SCIENCES
Résumé : Although global positioning system (GPS) location data have been used to derive animal movement parameters including step length, rarely have these parameters been used to predict animal responses to human interventions. In this study, we tested whether GPS-derived step length of semi-free range cattle is a function of herder presence. The derived step-length model was used to predict herder presence on independent cattle GPS collar data. We also tested whether cattle foraging behaviour is explained by herder activity and vegetation greenness. We used logistic regression to model herder presence as a function of step length and relate cattle behaviour with herder activity and vegetation greenness. The field-based step length model successfully predicted herder presence on GPS collar data. The average predicted frequency of herder presence for the GPS-collared herds was 31%, whilst the field-based GPS frequency was 27%. Herding activities and vegetation greenness also explained different cattle foraging behaviour.
Mots-clés Agrovoc : système de positionnement global, bétail, bovin, pâturage, comportement alimentaire, comportement animal, troupeau domestique, modèle
Mots-clés géographiques Agrovoc : Zimbabwe
Classification Agris : L02 - Alimentation animale
U30 - Méthodes de recherche
Champ stratégique Cirad : Axe 1 (2014-2018) - Agriculture écologiquement intensive
Auteurs et affiliations
- Zengeya Fadzai, University of Zimbabwe (ZWE)
- Murwira Amon, University of Zimbabwe (ZWE)
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De Garine-Wichatitsky Michel, CIRAD-ES-UPR AGIRs (ZWE)
ORCID: 0000-0002-5438-1473
Source : Cirad-Agritrop (https://agritrop.cirad.fr/577373/)
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