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

ENETWILD-consortium, T Guerrasio, D Carniato, P Acevedo, M Apollonio, M Arakelyan, A Arnon, S Beatham, O Belova, L Berde, O Berdión, JA Blanco-Aguiar, N Bleier, JM Burgui Oltra, J Carvalho, J Casaer, L Dijkhuis, L Duniš, A Ertuk, M Dal Mas, E Ferroglio, A Forti, D Gačić, A Gavashelishvili, L Hillström, M Jenječić, M Ježek, O Keuling, A Licoppe, Y Liefting, C Martinez-Carrasco, I Olano, P Palencia, K Plis, T Podgorski, B Pokorny, M Rowcliffe, J Santos, GC Smith, J Sola de la Torre, S Stoyanov, S Zanet, J Vicente, M Scandura
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Abstract

The 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.

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在欧洲野生动物观测站(EOW)框架内生成全欧洲野生动物密度数据
欧洲野生动物观测站(EOW)是 ENETWILD 项目的一部分,是一个合作网络,自 2021 年起开始运行,旨在制定和实施标准化协议,以获取目标哺乳动物物种分布和密度的统一数据。这样做的目的是提高欧洲范围内用于野生动物管理和风险评估的数据质量。本报告介绍了 2023 年 EOW 活动期间开展的活动,共有 30 个组织参与了这项活动,并承诺在 22 个不同国家的 44 个地点收集数据。我们介绍了野猪(Sus scrofa)、欧洲狍(Capreolus capreolus)和赤狐(Vulpes vulpes)这三个物种的分布和密度数据,这些数据是通过实施相机诱捕协议和拟合随机相遇模型(REM)进行密度估算而获得的。相机诱捕图像的处理使用了 Agouti 平台及其中一些专为相机诱捕项目管理而设计的工具。其中包括使用摄影测量法直接从图像序列中获取随机相遇模型的参数。在过去几年中,我们还对 24 个 EOW 地点进行了监测,提供了多年度密度估算值和种群趋势,并强调了估算精度的提高,这与研究设计和协议实施的改进有关。我们还介绍了作为 ENETWILD 2.0 的一部分而开展的 2024 年活动,在该活动中,我们大力扩展网络,重点关注有非洲猪瘟风险的地点、有野猪/猪互动的地点以及包含湿地的地点,因为这些地点是潜在的禽流感中心。通过这项工作,40 名参与者对 64 个研究地点(27 个国家)进行了监测,其中 28 个研究地点位于疫区或距离非洲猪瘟前线 100 公里处,25 个地点有湿地栖息地。此外,至少有 20 个研究地点存在集约化养猪、广泛养猪或散养的情况。最后,还与其他与野生动物监测和疾病预防相关的国际行动建立了协同关系,目的是分享经验并保持跨国数据收集和协调。
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