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

ABSTRACT: 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 several months at lowland rainforest sites in the Los Amigos Conservation Concession and developed a Convolutional Neural Network-based data processing pipeline to detect tinamou vocalizations in the dataset.The classified acoustic event data are comparable to similar metrics derived from an ongoing camera trapping sur

SUBMITTER: Rumelt RB 

PROVIDER: S-EPMC8495786 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature