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AI study discovers two new lion roars, aiding conservation efforts.
A new AI-powered study has identified a previously unknown type of lion roar, revealing two distinct vocalizations—full-throated roars and an intermediary roar—challenging past assumptions.
Led by researchers from the University of Exeter and Oxford, the findings enhance individual lion identification, improving conservation monitoring.
The technology offers a more accurate, scalable alternative to traditional methods like camera traps, aiding efforts to protect wild lion populations, which have declined by half in 25 years and are now classified as vulnerable.
The research, funded by the Lion Recovery Fund, WWF Germany, and others, was published in Ecology and Evolution.
Un estudio de IA descubre dos nuevos rugidos de león, que ayudan a los esfuerzos de conservación.