AI and GPS tracking are delivering detailed insights into animal movements and sense of place, informing conservation projects like California’s vegetated wildlife crossing.

Hyper-precise tagging, updating locations every second, paired with CubeSat-based ICARUS, aims to monitor millions of animals worldwide, potentially covering roughly 40% of bird species and 50% of mammal species.

Drone-based censuses with cameras can identify which individuals are at a site, estimate age and sex, and distinguish between foraging visits and transit through corridors.

AI accelerates wildlife monitoring by automatically identifying species from camera and acoustic data, enabling rapid population estimates and trend detection, as illustrated by bat counts at Kasanka National Park.

Movebank now stores nearly 11 billion animal locations across more than 1,600 species, building a rapidly expanding dataset for analysis.

Integrating GIS data, satellite imagery, and AI helps map animal landscapes of resources, borders, and landmarks, potentially transforming how we understand animal lives.

AI-driven surveillance supports conflict reduction and habitat connectivity, with examples like hedgehog-friendly fence modifications in Scotland and beaver-dam mapping to assess ecosystem services.