Automated audio recording as a means of surveying Tinamous (Tinamidae) in the Peruvian Amazon

Reid Rumelt, Arianna Basto & Carla Mere Roncal
The use of machine learning technologies to process large quantities of remotely-collected audio data is a powerful emerging research tool in ecology and conservation. We applied these methods to a field study of tinamou (Tinamidae) biology in Madre de Dios, Peru, a region expected to have high levels of interspecies competition and niche partitioning as a result of high tinamou alpha diversity. We used autonomous recording units to gather environmental audio over a period of...
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