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Where buffalo and cattle meet: modelling interspecific contact risk using cumulative resistant kernels
Authors:Żaneta Kaszta  Samuel A Cushman  Claudio Sillero‐Zubiri  Eléonore Wolff  Jorgelina Marino
Institution:1. http://orcid.org/0000‐0002‐9361‐0224;2. Inst. de Gestion de l'Environnement et d'Aménagement de Territoire, Univ. Libre de Bruxelles, Brussels, Belgium;3. Wildlife Conservation Research Unit, Dept of Zoology, Univ. of Oxford, The Recanati‐Kaplan Centre, Tubney, UK;4. USDA Forest Service, Rocky Mountain Research Station, Flagstaff, AZ, USA
Abstract:African buffalo the primary source of foot and mouth disease (FMD) infection for livestock in South Africa. Predicting the spatial drivers and patterns of buffalo–cattle contact risk is crucial for developing effective FMD mitigation strategies. Therefore, the goal of this study was to predict fine‐scale, seasonal contact risk between cattle and buffaloes straying into communal lands adjacent to Kruger National Park. This study provides the first application of the cumulative resistant kernel method to calculate contact risk between two species. We built resistance surfaces from resource utilization models of buffalo and cattle and calculated the intersection of resistant kernels of the two species. This revealed that the contact risk is influenced by seasonality, water sources and fence strength, and the magnitude of contact risk is largely driven by buffalo and cattle dispersal abilities. The probability of contact was higher in the dry season, with hotspots along a main river and the weakest parts of the perimeter fence. In the wet season, contact risk was more diffuse and less concentrated along the main river and near settlements. The new approach of intersecting cumulative resistant kernels of two species can produce quantitative predictive maps of animals’ contact risk and help identify potential hotspots of disease transmission.
Keywords:African buffalo  Kruger National Park  resistance surface  resistant kernel  landscape connectivity  interspecific interactions
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