How to integrate satellite-derived indicators into models of animal mobility?

Rumiano Florent, Dufleit Victor, Caron Alexandre, Miguel Eve, Degenne Pascal, Gaucherel Cédric, Valls-Fox Hugo, De Garine-Wichatitsky Michel, Tran Annelise. 2023. How to integrate satellite-derived indicators into models of animal mobility?. In : Abstract book of the GeoVet 2023 International Conference. Expanding boundaries: interdisciplinary Geospatial Research for the One Health Era, held in Silvi Marina, Teramo, Italy (September 19th-21st 2023). Conte Annamaria (ed.), Ippoliti Carla (ed.), Savini Lara (ed.). Teramo : Edizioni IZSTe-press, Résumé, 38-39. ISBN 978-88-9365-041-0 International Conference of Spatial Epidemiology, Geostatistics and GIS applied to animal health, public health and food safety (GeoVet 2023), Silvi Marina, Italie, 19 Septembre 2023/21 Septembre 2023.

Url - éditeur : https://www.veterinariaitaliana.izs.it/index.php/GEOVET23/article/view/3281

Résumé : In a context of increasing anthropization at the interface between protected areas and rural communal areas in southern Africa, the multiplication of interactions between wildlife and livestock may generate conflicts such as competition for natural resources, predation, crop destruction by wildlife, or the risk of pathogen transmission. To better understand these potential contacts, we have developed a method combining remote sensing and spatial modelling to simulate the movements of domestic ruminants (cattle) and wild animals (buffaloes). Water surfaces and vegetation, identified as the main drivers of movement for these ungulate species (Rumiano et al., 2020), were derived from a series of Sentinel-2 satellite images. The resulting maps were then integrated into a mechanistic model of collective movement of interacting individuals (Gregoire et al., 2003), applied to buffaloes (Rumiano et al., 2021) and cattle. The model, tested at three study sites in Zimbabwe, simulates herd movements, the location of contact zones and their seasonal dynamics. Model results were compared with GPS collar location data from 34 individuals (16 buffalo and 18 cattle). The results show a high degree of spatial and seasonal variability in buffalo-cattle contacts in the three study areas, and a correspondence at landscape scale between the spatial extensions of modeled and observed contact zones. These results illustrate the potential of spatial modelling combined with remote sensing to simulate animal movements on a landscape scale, while offering possibilities for managing these interfaces through, for example, a coupling with epidemiological modelling, or the testing of different scenarios of changes (e.g., practices, environment, climate).

Mots-clés libres : Remote Sensing, Spatial modelling, Mechanistic model, Animal movement, Wildlife-livestock interface

Auteurs et affiliations

• Rumiano Florent, CIRAD-ES-UMR TETIS (FRA)
• Dufleit Victor, CIRAD-BIOS-UMR ASTRE (GLP)
• Caron Alexandre, CIRAD-BIOS-UMR ASTRE (MOZ) ORCID: 0000-0002-5213-3273
• Miguel Eve, IRD (FRA)
• Degenne Pascal, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-0062-8511
• Gaucherel Cédric, INRAE (FRA)
• Valls-Fox Hugo, CIRAD-ES-UMR SELMET (FRA)
• De Garine-Wichatitsky Michel, CIRAD-BIOS-UMR ASTRE (THA) ORCID: 0000-0002-5438-1473
• Tran Annelise, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0001-5463-332X

Source : Cirad-Agritrop (https://agritrop.cirad.fr/607581/)

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