Wild Snow Leopard Camera Trap Research and Population Counts

Camera trap networks are transforming snow leopard population science, enabling non-invasive population counts across remote mountain terrain.

Key Facts

Snow leopards were estimated at 4,000-7,000 individuals, but this estimate has historically been highly uncertain
Camera trap networks using individual spot pattern identification allow population estimates based on mark-recapture statistics
The Snow Leopard Trust coordinates camera networks across multiple range countries using standardized protocols
PAWS (Protect Areas Within Snow Leopard Range) uses machine learning to process thousands of camera images automatically
Population estimates with camera traps still require enormous survey effort across remote, high-altitude terrain
Remote sensing of prey and habitat combined with camera trap data improves population model accuracy
Camera trap data also documents behavior, range use, and cub survival that inform conservation planning

Welfare Considerations

Camera trapping allows population assessment without capturing, handling, or potentially harming individual animals. Traditional collar-based monitoring of snow leopards required capture under anesthesia with associated risk and stress. Camera traps provide population-level information while respecting individual animal welfare through purely passive observation. This represents an ideal model for non-invasive wildlife welfare.

What You Can Do

Support Snow Leopard Trust camera trap programs through donations and citizen science participation
Volunteer for camera image classification through Snow Leopard Trust citizen science platforms
Donate to camera trap equipment and maintenance programs in key range countries
Learn about mark-recapture population estimation to understand how camera data translates to conservation insight
Follow individual snow leopard identification databases that name and track known individuals