Integrative bioacoustics discrimination of eight delphinid species in the western South Atlantic Ocean
Autor: | Juliana C. Di Tullio, Artur Andriolo, Bruna Ribeiro Duque, Juliana R. Moron, Franciele R. de Castro, Thiago Orion Simões Amorim, Eduardo R. Secchi |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Sound Spectrography Time Factors Decision Analysis Marine and Aquatic Sciences Social Sciences 01 natural sciences Vocalization Psychology Atlantic Ocean Mammals Multidisciplinary geography.geographical_feature_category Geography Animal Behavior Physics Decision tree learning Discriminant Analysis Eukaryota Killer Whales Vertebrates Physical Sciences Engineering and Technology Medicine Management Engineering Cartography Algorithms Research Article Bioacoustics Dolphins Science Marine Biology Human echolocation Biology Research and Analysis Methods 010603 evolutionary biology Species Specificity Discriminant function analysis Animals Marine Mammals Behavior geography Pilot Whales Receiver operating characteristic Continental shelf 010604 marine biology & hydrobiology Decision Trees Organisms Whales Biology and Life Sciences Acoustics Signal Bandwidth Linear discriminant analysis Animal Communication ROC Curve Multivariate Analysis Amniotes Signal Processing Earth Sciences Cosmopolitan distribution Vocalization Animal Zoology |
Zdroj: | PLoS ONE, Vol 14, Iss 6, p e0217977 (2019) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | This study presents an integrative bioacoustics approach to discriminate eight species of odontocetes found on the outer continental shelf and slope of the western South Atlantic Ocean. Spinner, Atlantic spotted, rough-toothed, Risso’s, bottlenose, short-beaked common dolphins, killer and long-finned pilot whales were visually confirmed during recordings with a 3-element omnidirectional hydrophone array. Spectral and time parameters of whistles and echolocation clicks were used in a discriminant function analysis and a classification tree model. As a first step, whistles and clicks were analysed separately; a further analysis consisted of both vocalisations jointly classified. All species showed species-specific properties in their vocalisations. Whistles had greater misclassification rates when compared to clicks. The correct classification was enhanced by the joint step, given the 5.8% error in the discriminant function analysis and a misclassification rate of 18.8% in the tree model. In addition, Receiver Operating Characteristic curves resulting from the tree algorithm analysis exhibited better model efficiency for all species in the joint classification. These findings on acoustical discrimination of such abundant and cosmopolitan species contribute to delphinid classification systems. |
Databáze: | OpenAIRE |
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