Tuesday, July 7, 2026

2:30 PM - 4:00 PM

Room CM.1.26

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Details

Wildlife monitoring is essential for understanding, responding to, and halting the current biodiversity crisis. It is also a core component of the EU Biodiversity Strategy for 2030 and the Kunming-Montreal Global Biodiversity Framework, both of which support reliable biodiversity assessments. Camera trapping, combined with novel citizen science platforms and machine-learning tools, has emerged as a promising, cost-effective approach for large-scale monitoring programs. However, insufficient interoperability among monitoring programs and the lack of harmonised data processing and modelling workflows—i.e., from image data collection to the estimation of temporal trends in Essential Biodiversity Variables (EBVs) — strongly limit the current capacities to integrate a multitude of efforts into a coherent monitoring framework. This symposium presents novel approaches and state-of-the-art tools and methods that bring together scientific and technological advances in the field of camera trapping for wildlife monitoring. It synthesizes developments from two ongoing Biodiversa+ projects, WildINTEL and BIG_PICTURE, both of which aim at developing innovative methodologies and infrastructure to integrate technology and public participation for the (semi)automatization of wildlife monitoring in Europe. This symposium will provide an overview of recent developments in camera-trapping, covering the full pipeline from field data collection and sampling design to image upload, storage, and classification, as well as the transformation of images into ecological data and the estimation of EBVs and change indicators that account for animal detectability and species misidentification.

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Speakers and Presentation Titles

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Organiser