Wild boar density data generated by camera trapping in nineteen European areas. Issue 3 (17th March 2022)

• Record Type: Journal Article
• Authors: Acevedo, P; Aleksovski, V; Apollonio, M; Berdión, O; Blanco‐Aguiar, JA; del Rio, L; Ertürk, A; Fajdiga, L; Escribano, F; Ferroglio, E; Gruychev, G; Gutiérrez, I; Häberlein, V; Hoxha, B; Kavčić, K; Keuling, O; Martínez‐Carrasco, C; Palencia, P; Pereira, P; Plhal, R; Plis, K; Podgórski, T; Ruiz, C; Scandura, M; Santos, J; Sereno, J; Sergeyev, A; Shakun, V; Soriguer, R; Soyumert, A; Sprem, N; Stoyanov, S; Smith, GC; Trajçe, A; Urbani, N; Zanet, S; Vicente, J;
• Is Part Of: EFSA supporting publications. Volume 19:Issue 3(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-03-17
• Subjects: Food -- Europe -- Safety measures -- Periodicals; Food -- Safety measures; Europe; Periodicals; Periodicals; 363.192094
• DOI: 10.2903/sp.efsa.2022.EN-7214
• Languages: English
• ISSNs: 2397-8325

Abstract

Abstract: This report presents the results of field activities in relation to the generation of reliable wild boar density values by camera trapping (CT) in 19 areas in Europe, mainly in East Europe. Random Encounter Model (REM) densities ranged from 0.35±0.24 to 15.25±2.41 (SE) individuals/km 2 . No statistical differences in density among bioregions were found. The number of contacts was the component of the trapping rate that determined the coefficient of variation (CV) the most. The daily range (DR) significantly varied as a function of management; the higher values were detected in hunting grounds compared to protected areas, indicating that movement parameters are population specific, and confirming the potential role of hunting activities in increasing wild boar movement and contact rates among individual or groups. The results presented in this report illustrate that a harmonized approach to actual wildlife density estimation (namely for terrestrial mammals) is possible at a European scale, sharing the same protocols, collaboratively designing the study, processing, and analysing the data. This report adds reliable wild boar density values that have the potential to be used for wild boar abundance spatial modelling, both directly or to calibrate outputs of model based on abundance (such as hunting bags) or occurrence data. Future REM developments should focus on improving the precision of estimates (probably through increased survey effort). Next steps require an exhaustive and representative design of a monitoring network to estimate reliable trends of wild boar populations as a function of different factors in Europe. In this regard, the newly created European Observatory of Wildlife will be a network of observation points provided by collaborators from all European countries capable to monitor wildlife population at European level.