Advancing snow leopard conservation requires non-invasive monitoring techniques that minimise welfare impact while generating the population data needed for effective protection.
Snow leopard welfare in research contexts requires balancing the welfare cost of invasive monitoring against the conservation benefit of better population data. Camera trapping and scat-based DNA monitoring provide valuable data with negligible direct welfare impact. GPS collar deployment requires capture — an acutely stressful event — that should be used only when the data value justifies the welfare cost. Community-based monitoring that involves local herders as conservation partners addresses both data needs and human-wildlife coexistence simultaneously.