Research overview: the difficulty of estimating snow leopard numbers

Snow leopards are among the hardest big cats to count, and their global population remains poorly known. This overview synthesizes the methodological challenges of surveying a cryptic, low-density cat across remote, rugged, and politically fragmented mountain ranges. It reviews how camera-trap capture-recapture, genetic sampling of scats, and occupancy surveys are being combined to produce more reliable estimates, replacing earlier extrapolations from sign that proved unreliable. It examines why coordinated, statistically rigorous monitoring across range countries is needed to assess status and trends. The synthesis frames population estimation as a frontier in snow leopard science. For enthusiasts it explains why published numbers for snow leopards vary so widely and carry such uncertainty, and why investments in robust survey methods are essential to knowing whether the species is stable, declining, or recovering across its forbidding range.