In Nepal, AI builds on local knowledge to help prevent tiger attacks

KATHMANDU — Bhadai Tharu says he still remembers the day a tiger attacked him. It was around 1 p.m. on Jan. 6, 2004. The encounter left him blind in his left eye. More than two decades later, the 59-year-old doesn’t speak ill of the animal that attacked him. “When incidents, like the one I was involved in, happen, people get angry,” says Tharu, who is now chair of the Gauri Community Forest on the fringes of Bardiya National Park, a global hotspot for the endangered big cats. “Tigers have their role in the ecosystem, and both people and tigers should coexist,” Tharu says. His perspective comes as Nepal’s tiger population reaches a record 429 individuals, with Bardiya alone hosting 112. To avoid human-tiger encounters such as the one Tharu experienced, researchers turned to a survival skill long practiced by local people: listening to the forest. And for a while, at least, it seemed to have worked. The pilot project, documented in a recently published study, tested an artificial intelligence-powered system that “listens” to alarm calls from chital deer (Axis axis) and maps areas where tigers (Panthera tigris) or leopards (Panthera pardus) may be present and that humans should avoid. A chital deer in Bardiya National Park. The pilot project tested an AI-powered system that “listens” to alarm calls from chital deer. Image by Sunuwargr via Wikimedia Commons (CC BY-SA 4.0). A forest that speaks Long before researchers arrived with sensors and machine-learning models, Indigenous communities in Bardiya had already been…This article was originally published on Mongabay