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How widely is artificial intelligence actually used in wildlife monitoring? New study, “More Tools Than Users: A Scoping Review of Image-Processing Automation in Mammal Camera Trapping”, published in Mammal Review, explores the growing role of AI in camera-trap research. One surprising finding: despite rapid advances in AI tools, only 9% of surveyed researchers reported using AI in their applied camera-trapping studies. The study highlights the gap between technological development and practical application, and identifies opportunities for improving wildlife monitoring through interdisciplinary collaboration. Read the publication: https://doi.org/10.1111/mam.70052

2.-4.November 2026, Seville, Spain WildINTEL participated in the Eurosite Annual Meeting 2026. During the Conservation & Monitoring workshop, Dr Simone Santoro presented “WildINTEL: from camera traps to open data and EBV’s”.

🐻🦌🐺Ever wondered what happens at one camera-trap site over almost two years? We compiled all images (~5000) from Site 12 in the Polish Tatra National Park into a 15min short film. Watch the full story from October 2024 to August 2026. Available in both English and Polish. 🎥English: 🎥Polish:

🏔️📸 Today we’re adding new camera-trap images from the Tatra National Park to our European Camera Trap Zooniverse Project.🐻🐺🦌🦊What will you discover? Help us identify the wildlife captured by our cameras and contribute to European biodiversity research. Every classification counts – whether you identify 5 images or 500. 💚

Earlier this month, the WildINTEL and BIG_PICTURE projects joined forces at the 8th European Congress of Conservation Biology (ECCB 2026) in Leiden to host a two-part symposium on the future of camera-trap based wildlife monitoring. Across 12 presentations, researchers from both biodiversa+ projects and partner institutions shared the latest advances in camera trapping, artificial intelligence, citizen science, Essential Biodiversity Variables (EBVs), ecological modelling, and FAIR biodiversity data. More importantly, the symposium highlighted the value of collaboration. By bringing together complementary expertise from across Europe, WildINTEL and BIG_PICTURE are helping to build harmonised, scalable approaches for monitoring wildlife and supporting biodiversity conservation. A big thank you to all speakers, organisers, and everyone who joined the discussions. We are grateful for the inspiring exchange of ideas and look forward to continuing this collaboration in the years ahead.

An unexpected partnership in Espacio Natural de Doñana!A fallow deer (Dama dama) shares the forest with an Iberian magpie (Cyanopica cooki). These intelligent birds are often seen following large mammals, feeding on insects stirred up by their movement and sometimes helping remove parasites, a fascinating example of wildlife interactions captured by our camera traps.

We are pleased to announce a new scientific publication by members of the WildINTEL team. The article, “Changes in wildlife activity patterns in response to war in Ukraine”, published in Science, reveals that the Russian invasion of Ukraine caused immediate changes in wildlife behaviour in the Chornobyl Exclusion Zone. Using camera trap data, the team documented rapid shifts in mammal activity patterns, providing the first direct evidence of the immediate effects of war on biodiversity. 📄 Read the scientific paper: Paper Link 📰 Read our press release: Press Release Link We congratulate all authors and collaborators involved in this achievement.

with the European Camera Trap Project. Anyone can take a look into Europe’s wild nature, see rare animals inextraordinary situations, and at the same time help with an importantscientific project – all without leaving home. Scientists from the WildINTEL project invite you to take part!

An intensive and highly productive meeting in Madrid, during which the project partners reviewed progress and planned the next steps for the WildINTEL project, was successfully concluded with a visit to Madrid’s Botanical Garden.

WildINTEL partners are meeting in Madrid for the project’s midterm meeting to review progress and discuss the next steps in advancing EBVs monitoring with camera-trap data.