On a bright Monday morning in Kibber, a remote village in India’s Spiti Valley, a group of women in weathered wool shawls prepared for another ascent up the region’s sharp limestone cliffs. Their mission: to install camera traps for tracking the elusive snow leopard, a species that remains critically threatened across Central and South Asia. The women, many of whom are senior community members, wield a unique combination of scientific tools and generations-old local knowledge—an approach now drawing attention among conservationists aiming to meet SDG 15 (Life on Land) targets by 2030.

While conservation NGOs like Nature Conservation Foundation have long advocated camera trapping to estimate snow leopard populations, the placement of these devices has often depended on broad scientific models. However, in Spiti Valley, these methods are now being refined with hyper-local expertise. Senior women, who have traversed these mountains since childhood, identify animal corridors and hunting sites invisible to outside researchers. Their insights have led to a 22% increase in viable camera trap placements this summer alone, according to preliminary data shared by the local project coordinators last week.

This collaboration reflects a wider trend in India’s conservation sector: integrating indigenous and scientific knowledge systems to improve both monitoring accuracy and community buy-in. With several snow leopard conservation projects across Himachal Pradesh and Ladakh struggling to achieve meaningful population data, the Spiti model is being cited in recent policy discussions around the Ministry of Environment’s 2026 resource allocation cycle. The approach is seen as critical for India to deliver on its biodiversity reporting commitments under the Kunming-Montreal Global Biodiversity Framework.

However, skepticism remains. Some international donors have questioned the scalability of locally-driven models, raising concerns over consistency and data integrity. Yet, proponents argue that measurable outcomes—such as the 16 camera traps that reliably captured snow leopard movement last week—demonstrate the model’s effectiveness. As the high-altitude fieldwork continues into August’s short summer window, policy observers are watching closely for evidence of replicable results beyond Spiti.

For the women of Kibber, the work is more than data collection: it’s a form of stewardship that has shaped the valley’s ecology for decades. As one elder told SDG Talking on Sunday afternoon, “We know where the leopards walk because we walk there too.” Their lived expertise, now harnessed in tandem with scientific monitoring, is setting a new standard for community-centered conservation in India and potentially across the broader Himalayan region.