AI研究发现两只新的狮子咆哮, 帮助养护工作。 AI study discovers two new lion roars, aiding conservation efforts.

一项新的AI-动力研究查明了一种以前未知的狮子咆哮类型,揭示了两种截然不同的发声——全发咆哮和中间吼吼声——挑战过去的假设。 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. 研究结果由埃克塞特大学和牛津大学的研究人员牵头,增强了对狮子个体的识别,改善了养护监测。 Led by researchers from the University of Exeter and Oxford, the findings enhance individual lion identification, improving conservation monitoring. 该技术提供了比照相机陷阱等传统方法更准确、可扩展的替代方法,帮助保护野生狮子群的努力。 25年来,野生狮子群减少了一半,现在被归类为脆弱群体。 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. 这项研究由狮子恢复基金、世界野生动物基金会德国分会等资助,发表于《生态和演变》。 The research, funded by the Lion Recovery Fund, WWF Germany, and others, was published in Ecology and Evolution.