AI tiger-warning system rooted in local knowledge stalls for lack of support
In the land of tigers, prey animals like deer and monkeys are often the first to sound the alarm when they sense the predator’s presence. Forest communities in Nepal, where the success of tiger conservation has come at the cost of rising human-tiger conflict, have long known to listen for these natural alerts. This local […]
In the realm of tigers, smaller creatures like deer and monkeys frequently alert others to the predator's proximity. Communities in Nepal, where tiger conservation has led to increased human-tiger conflicts, have relied on this instinctive warning system. This knowledge spurred a recent pilot project that utilized sensors throughout a forest to detect these alarm calls and alert residents to potential tiger or leopard activity.
The project aimed to prevent tiger attacks in the region, but it came to an end due to a lack of support. Nepal's tiger population recently hit a record high of 429, with 112 living near Bardiya National Park in the southwest. While this population growth is positive, it has also led to 245 tiger attacks on humans from 2010 to 2024, resulting in 141 deaths, according to a recent study.
To mitigate these encounters, researchers installed solar-powered acoustic monitoring devices in the Dalla Community Forest, near Bardiya, between December 2024 and March 2025. These devices, priced at approximately $50 each, ran an AI model trained to listen for sounds in the forest and identify alarm calls from chital deer, rhesus macaques, and gray langurs.
Local communities in Bardiya, who share their environment with tigers, graze their livestock and collect firewood in the same areas.
Written by urgent.news from Mongabay's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
