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

Abstract 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...

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Main Authors: Teresa Goicolea, Pablo Cisneros-Araújo, Cecilia Aguilar Vega, Jose Manuel Sánchez-Vizcaíno, MCruz Mateo-Sánchez, Jaime Bosch
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-53869-5
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author Teresa Goicolea
Pablo Cisneros-Araújo
Cecilia Aguilar Vega
Jose Manuel Sánchez-Vizcaíno
MCruz Mateo-Sánchez
Jaime Bosch
author_facet Teresa Goicolea
Pablo Cisneros-Araújo
Cecilia Aguilar Vega
Jose Manuel Sánchez-Vizcaíno
MCruz Mateo-Sánchez
Jaime Bosch
author_sort Teresa Goicolea
collection DOAJ
description Abstract 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.
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spelling doaj.art-19eefafdabcd463f92abffd72d8792b32024-03-05T19:07:43ZengNature PortfolioScientific Reports2045-23222024-02-011411910.1038/s41598-024-53869-5Landscape connectivity for predicting the spread of ASF in the European wild boar populationTeresa Goicolea0Pablo Cisneros-Araújo1Cecilia Aguilar Vega2Jose Manuel Sánchez-Vizcaíno3MCruz Mateo-Sánchez4Jaime Bosch5ETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de MadridETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de MadridVISAVET Health Surveillance Center, Universidad Complutense de MadridVISAVET Health Surveillance Center, Universidad Complutense de MadridETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de MadridVISAVET Health Surveillance Center, Universidad Complutense de MadridAbstract 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.https://doi.org/10.1038/s41598-024-53869-5African swine feverDisease spreadWild boarLandscape connectivityAnimal movementInternational-corridors
spellingShingle Teresa Goicolea
Pablo Cisneros-Araújo
Cecilia Aguilar Vega
Jose Manuel Sánchez-Vizcaíno
MCruz Mateo-Sánchez
Jaime Bosch
Landscape connectivity for predicting the spread of ASF in the European wild boar population
Scientific Reports
African swine fever
Disease spread
Wild boar
Landscape connectivity
Animal movement
International-corridors
title Landscape connectivity for predicting the spread of ASF in the European wild boar population
title_full Landscape connectivity for predicting the spread of ASF in the European wild boar population
title_fullStr Landscape connectivity for predicting the spread of ASF in the European wild boar population
title_full_unstemmed Landscape connectivity for predicting the spread of ASF in the European wild boar population
title_short Landscape connectivity for predicting the spread of ASF in the European wild boar population
title_sort landscape connectivity for predicting the spread of asf in the european wild boar population
topic African swine fever
Disease spread
Wild boar
Landscape connectivity
Animal movement
International-corridors
url https://doi.org/10.1038/s41598-024-53869-5
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