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Acoustic identification and classification of four dolphin species in the Brazilian marine area affected by the largest tailings dam failure disaster.
Amorim, Thiago O S; Castro, Franciele R de; Ferreira, Giovanne A; Neri, Fernanda M; Duque, Bruna R; Mura, João P; Andriolo, Artur.
Afiliação
  • Amorim TOS; Laboratório de Ecologia Comportamental e Bioacústica, Departamento de Zoologia, Instituto de Ciências Biológicas, Universidade Federal de Juiz de Fora, Campus Universitário, Rua José Lourenço Kelmer, s/n - São Pedro, Juiz de Fora, 36036-900, MG, Brazil.
  • Castro FR; Instituto Aqualie, Rua José Lourenço Kelmer, salas 110, 112, 114, São Pedro, Juiz de Fora, 36036-330, MG, Brazil.
  • Ferreira GA; Instituto Aqualie, Rua José Lourenço Kelmer, salas 110, 112, 114, São Pedro, Juiz de Fora, 36036-330, MG, Brazil.
  • Neri FM; Laboratório de Ecologia Comportamental e Bioacústica, Departamento de Zoologia, Instituto de Ciências Biológicas, Universidade Federal de Juiz de Fora, Campus Universitário, Rua José Lourenço Kelmer, s/n - São Pedro, Juiz de Fora, 36036-900, MG, Brazil.
  • Duque BR; Instituto Aqualie, Rua José Lourenço Kelmer, salas 110, 112, 114, São Pedro, Juiz de Fora, 36036-330, MG, Brazil.
  • Mura JP; Instituto Aqualie, Rua José Lourenço Kelmer, salas 110, 112, 114, São Pedro, Juiz de Fora, 36036-330, MG, Brazil.
  • Andriolo A; Laboratório de Ecologia Comportamental e Bioacústica, Departamento de Zoologia, Instituto de Ciências Biológicas, Universidade Federal de Juiz de Fora, Campus Universitário, Rua José Lourenço Kelmer, s/n - São Pedro, Juiz de Fora, 36036-900, MG, Brazil.
J Acoust Soc Am ; 152(6): 3204, 2022 12.
Article em En | MEDLINE | ID: mdl-36586872
Passive acoustic monitoring (PAM) is an increasingly used technique to access the occurrence, distribution, and abundance of cetaceans that may be visually unavailable most of the time. The largest tailings dam failure disaster occurred on 5 November 2015, when the Fundão dam collapsed, releasing over 50 million cubic meters of tailings into the Doce River basin; 14 days later, the tailings plume reached the Atlantic Ocean. PAM was implemented in the concerned area and cetacean species were acoustically identified. Whistles and clicks of visual and acoustic matches were used to predict and classify exclusive acoustic records through random forest models. The identified species were Guiana, rough-toothed, and bottlenose dolphins. Additionally, the franciscana, the most threatened cetacean in the western South Atlantic Ocean, was also acoustically identified. The whistle classifier had 86.9% accuracy with final frequency, duration, and maximum frequency ranked as the most important parameters. The clicks classifier had 86.7% accuracy with peak frequency and 3 dB bandwidth as the most important parameters for classifying species. Considering the potential effect of the increase in turbidity on sound transmission, such as attenuation, the presented classifier should be continuously improved with novel data collected from long-term acoustic monitoring.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desastres / Golfinho Nariz-de-Garrafa Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Acoust Soc Am Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desastres / Golfinho Nariz-de-Garrafa Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Acoust Soc Am Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos