Uniform Manifold Approximation and Projection for Clustering Taxa through Vocalizations in a Neotropical Passerine (Rough-Legged Tyrannulet, Phyllomyias burmeisteri)

• Published in: Animals (Basel) Vol. 10; no. 8; p. 1406
• Main Authors: Parra-Hernández, Ronald M., Posada-Quintero, Jorge I., Acevedo-Charry, Orlando, Posada-Quintero, Hugo F.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 12.08.2020; MDPI
• Subjects: Acoustics; acrochordopus; Algorithms; Bioacoustics; Biological research; Biology, Experimental; birds; Data analysis; Datasets; dimensionality reduction; Discriminant analysis; Graph representations; Identification and classification; information sources; Neotropics; Passeriformes; principal component analysis; Principal components analysis; sound; taxonomic complex; Taxonomy; tyrannidae; Variance analysis; Visualization; Colombia; Ecuador; Venezuela; Argentina; Uruguay; Panama; Brazil; Paraguay; Bolivia; Peru; Costa Rica; tyranniscus; dimensionality reduction; tyrannidae; acrochordopus; bioacoustics; sound; voices; taxonomic complex; tyranninae; white-fronted tyrannulet
• ISSN: 2076-2615; 2076-2615
• DOI: 10.3390/ani10081406

Vocalizations from birds are a fruitful source of information for the classification of species. However, currently used analyses are ineffective to determine the taxonomic status of some groups. To provide a clearer grouping of taxa for such bird species from the analysis of vocalizations, more sensitive techniques are required. In this study, we have evaluated the sensitivity of the Uniform Manifold Approximation and Projection (UMAP) technique for grouping the vocalizations of individuals of the Rough-legged Tyrannulet Phyllomyias burmeisteri complex. Although the existence of two taxonomic groups has been suggested by some studies, the species has presented taxonomic difficulties in classification in previous studies. UMAP exhibited a clearer separation of groups than previously used dimensionality-reduction techniques (i.e., principal component analysis), as it was able to effectively identify the two taxa groups. The results achieved with UMAP in this study suggest that the technique can be useful in the analysis of species with complex in taxonomy through vocalizations data as a complementary tool including behavioral traits such as acoustic communication.