Landscape connectivity for predicting the spread of ASF in the European wild boar population

African swine fever (ASF) is an infectious and highly fatal disease affecting wild and domestic swine, which is unstoppably spreading worldwide. In Europe, wild boars are one of the main drivers of spread, transmission, and maintenance of the disease. Landscape connectivity studies are the main disc...

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Detalles Bibliográficos
Autores: Sánchez-Vizcaíno Rodríguez, José Manuel, Aguilar Vega, Cecilia, Bosch López, Jaime Alfonso, Goicolea, Teresa, Cisneros-Araújo, Pablo, Mateo-Sánchez, M. Cruz
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/101934
Acceso en línea:https://hdl.handle.net/20.500.14352/101934
Access Level:acceso abierto
Palabra clave:636.09
African swine fever
Disease spread
Wild boar
Landscape connectivity
Animal movement
International-corridors
Probability of connectivity
Surveillance-program
Early detection
Vaccination programs
Sus scrofa
Veterinaria
3109 Ciencias Veterinarias
Descripción
Sumario:African swine fever (ASF) is an infectious and highly fatal disease affecting wild and domestic swine, which is unstoppably spreading worldwide. In Europe, wild boars are one of the main drivers of spread, transmission, and maintenance of the disease. Landscape connectivity studies are the main discipline to analyze wild-species dispersal networks, and it can be an essential tool to predict dispersal-wild boar movement routes and probabilities and therefore the associated potential ASF spread through the suitable habitat. We aimed to integrate wild boar habitat connectivity predictions with their occurrence, population abundance, and ASF notifications to calculate the impact (i.e., the capacity of a landscape feature to favor ASF spread) and the risk (i.e., the likelihood of a habitat patch becoming infected) of wild boar infection across Europe. Furthermore, we tested the accuracy of the risk of infection by comparing the results with the temporal distribution of ASF cases. Our findings identified the areas with the highest impact and risk factors within Europe's central and Eastern regions where ASF is currently distributed. Additionally, the impact factor was 31 times higher on habitat patches that were infected vs non-infected, proving the utility of the proposed approach and the key role of wild boar movements in ASF-spread. All data and resulting maps are openly accessible and usable.