Publication:
Generating wildlife density data across Europe in the framework of the European Observatory of Wildlife (EOW)

dc.contributor.authorMartínez-Carrasco Pleite, Carlos
dc.contributor.authorENETWILD-consortium "et.al."
dc.contributor.departmentSanidad Animal
dc.contributor.otherFacultad de Veterinaria
dc.date.accessioned2025-12-29T09:21:55Z
dc.date.available2025-12-29T09:21:55Z
dc.date.copyright© European Food Safety Authority, 2024
dc.date.issued2024-10-30
dc.description.abstractThe European Observatory of Wildlife EOW, as part of the ENETWILD project, represents a collaborative network that has been operating since 2021 to develop and implement standardized protocols to obtain harmonized data on distribution and density of target mammal species. In so doing, the EOW aims at contributing to improving the quality of data that are available for wildlife management and risk assessment on a European scale. This report describes the activities carried out during the 2023 EOW campaign, which was joined by a total of 30 organizations who committed to collect data in 44 sites across 22 different countries. We present data on the distribution and density of three species – wild boar (Sus scrofa), European roe deer (Capreolus capreolus), and red fox (Vulpes vulpes) – obtained by implementing a camera trapping protocol and by fitting the random encounter model (REM) for density estimation. Camera-trap images were processed using the Agouti platform and some of its tools specifically designed for the management of camera trapping projects. This includes the use of photogrammetry to obtain parameters for the REM directly from the sequences of images. A total of 24 EOW sites were monitored in past years as well, providing multiannual density estimates and population trends and highlighting an improvement in the precision of the estimates, related to the improved study design and protocol implementation. We also describe the activities of the 2024 campaign, carried out as part of ENETWILD 2.0, where big efforts were made to expand the network, focusing on sites at risk of African Swine Fever, with wild boar/pig interactions and containing wetlands, as potential hubs for Avian Influenza. This effort resulted in the engagement of 40 participants monitoring 64 study sites (27 countries), including 28 study sites located either in infected areas or <100km from the ASF frontline, and 25 sites with wetland habitats. Furthermore, in at least 20 sites pig farming is practised either intensively, extensively or as backyard farming. Finally, synergies were established with other international initiatives related to wildlife monitoring and disease prevention, with the aim of sharing experiences and sustaining a transnational data collection and harmonization.
dc.formatapplication/pdf
dc.format.extent72
dc.identifier.citationEFSA Supporting Publications 21 (10) 2024, 9084E
dc.identifier.doihttps://doi.org/10.2903/sp.efsa.2024.EN-9084
dc.identifier.eissn2397-8325
dc.identifier.urihttp://hdl.handle.net/10201/182990
dc.languageeng
dc.publisherWiley
dc.relationThe present document has been produced and adopted by the bodies identified above as author(s). This task has been carried out exclusively by the author(s) in the context of a contract between the European Food Safety Authority and the author(s), awarded following a tender procedure.
dc.relation.publisherversionhttps://efsa.onlinelibrary.wiley.com/doi/abs/10.2903/sp.efsa.2024.EN-9084
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectUngulates
dc.subjectCarnivores
dc.subjectCamera trapping
dc.subjectDensity estimation
dc.subjectHarmonized protocol
dc.subjectRandom encounter model
dc.subjectWild boar
dc.subject.odsObjetivo 15: Bosques, desertificación y diversidad biológica
dc.titleGenerating wildlife density data across Europe in the framework of the European Observatory of Wildlife (EOW)
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
relation.isAuthorOfPublication74bbaf1b-2a73-4ec8-b1c6-429311688d3b
relation.isAuthorOfPublication.latestForDiscovery74bbaf1b-2a73-4ec8-b1c6-429311688d3b
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