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License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
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Update on the activity of the European Observatory of Wildlife (EOW) - campaign 2024

Authors: ENETWILD-consortium, Guerrasio T, Acevedo P, Alves PC, Apollonio M, Arakelyan M, Arnon A, Beatham S, Berde L, Berdión O, Bicho C, Blanco-Aguiar JA, Bleier N, Blūms K, Burgui Oltra JM, Bužan E, Carniato D, Carvalho J, Casaer J, Conte LA, Csányi S, Dal Mas M, Del Frate M, Della Libera F, Del Val H, De Waele V, Dijkhuis LR, Duniš L, Durova J, Dutta T, Ertürk A, Fernandes N, Ferroglio E, Forti A, Gačić D, Gavashelishvili A, Gruychev G, Guimaraes N, Gutiérrez I, Henrich M, Heurich M, Hillström L, Jansen PA, Janječić M, Ježek M, Kashyap B, Keuling O, Kropil R, Licoppe A, Liefting Y, Martínez-Carrasco C, Olano I, Olejarz A, Ozoliņš J, Palencia P, Platovšek Z, Plis K, Podgorski T, Pokorny B, Radonić M, Rodrigues M, Rodríguez D, Rowcliffe M, Santos J, Smith GC, Sola de la Torre J, Soyumert A, Šprem N, Stoyanov S, Tanjević T, Thomas E, Torres RT, Vergara M, Vicente J, Watthez Q, Wierzbowska I, Zanet S, and Scandura M;

Update on the activity of the European Observatory of Wildlife (EOW) - campaign 2024

Abstract

The European Observatory of Wildlife (EOW), developed within the ENETWILD project, has been active since 2021 as a collaborative network dedicated to designing and applying standardized protocols for harmonized data collection on key mammal species and their pathogens. By doing so, the EOW enhances the quality and consistency of information available for wildlife management and risk assessment across Europe. Since its establishment, the network has generated data through a camera-trapping protocol based on the Random Encounter Model (REM) for density estimation. Image sequences from camera traps are processed using the Agouti platform, which provides dedicated tools for managing camera-trapping projects. The workflow also integrates photogrammetry and an analytical pipeline that streamlines the direct estimation of REM parameters from acquired images. During the 2024 campaign, 58 study sites across 23 European countries were monitored by 36 institutions. This effort produced density estimates for numerous mammal species. In this report, we present results for the five most intensively monitored species: wild boar, European roe deer, red fox, red deer, and European badger. We also describe efforts to extend the network to areas affected by African Swine Fever (ASF) or located near infected zones, providing valuable information for disease management. Protocol improvements further standardized results generation and reduced human error. Together with the adoption of a new data policy, these advances led to the creation of the EOW database—an openly accessible resource containing REM-based density estimates from EOW sites. Finally, networking activities have been undertaken to build connections with other international initiatives and to promote EOW’s work at international conferences.

EU; pdf; biohaw@efsa.europa.eu

Keywords

camera trapping, wildlife monitoring, density estimation, harmonized protocol, random encounter model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green