FLORES, Guatemala — This March, rangers on patrol in the Maya Forest came across the feathers of hunted birds and paths that had been cleared through the trees. These led them to a 2-hectare (5-acre) opening in the forest where squatters likely planned to settle and then expand. The people who’d cleared the forest were nowhere to be found. The deforestation had occurred around eight days before, the rangers guessed. Even with camera traps and other technology, there’d been almost no way to detect it in real time. Rapid response has long been a challenge for conservationists in the Maya Biosphere Reserve, which spans 2.2 million hectares (5.3 million acres) across northern Guatemala. The reserve is a patchwork of national parks, logging concessions and biological corridors, some of them under pressure from cattle ranching and illegal logging. “If we’re going out regularly to a site every two or three months, and something happens a day after the last visit, then two or three months will go by with no information,” said Rony García Anleu, director of biological research at the Guatemala office of the Wildlife Conservation Society (WCS). A new project in the reserve aims to decrease ranger response times with bioacoustics devices that can “listen” for illegal activity, using AI models trained to identify sounds associated with logging, hunting and other crimes. It’s part of the $100 million AI for Climate and Nature Grand Challenge, run by the Bezos Earth Fund for innovative uses of artificial intelligence for tackling…This article was originally published on Mongabay

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