作者: Luciana H.S. Rocha , Luane S. Ferreira , Bruna C. Paula , Flávio H.G. Rodrigues , Renata S. Sousa-Lima
DOI: 10.1080/09524622.2015.1019361
关键词:
摘要: Although bioacoustics is increasingly used to study species and environments for their monitoring conservation, detecting calls produced by of interest prohibitively time consuming when done manually. Here we compared four methods identifying roar-barks maned wolves (Chrysocyon brachyurus) within long sound recordings: (1) a manual method, (2) an automated detector method using Raven Pro 1.4, (3) XBAT (4) mixed XBAT's followed verification. Recordings were song meter installed at the Serra da Canastra National Park (Minas Gerais, Brazil). For each evaluated following variables in 24-h recording: total required analysing files, number false positives identified true target sounds. Automated less analyse recordings (77–93 min) (189...