Institut de Systématique, Evolution, Biodiversité.
UMR 7205 ISYEB,CNRS/MNHN/EPHE/UPMC
Equipe Evolution fonctionnelle et Systématique
Tél : 01 40 79 31 34.
Contact : email@example.com
Muséum National d’Histoire Naturelle,
57 rue Cuvier - CP 39, 75231 Paris cedex 05
My research unfolds with the question : how to best measure, quantify and characterise the acoustic environment to get valuable ecological indicators ? Acoustic monitoring has proved to be an efficient approach to monitor wildlife, notably in environments with limited visibility. The acoustic environment comprises a combination of numerous sounds that are mixed down into a single time series. Aiming to identify key patterns of the acoustic community, I analyse large acoustic datasets adapting novel computational tools from the signal processing and machine learning disciplines. A better understanding of these patterns will allow us to derive fast and effective frameworks to assess the state and pressures acting on biological diversity. Currently, my research focuses on the analysis of a complex acoustic scene, the night acoustic community of the tropical rainforest.
Assessment of the acoustic diversity in the lowland tropical rainforest. PhD thesis under the supervision of Thierry Aubin (Univérsité Paris Saclay) and Jérôme Sueur (Muséum national d’Histoire naturelle)
Sound of orgy : the acoustics of Amazonian explosive breeding amphibians (Labex CEBA, CNRS Guyane).
Ulloa, J.S., Gasc, A., Gaucher, P., Aubin, T., Réjou-Méchain, M. & Sueur, J. (2016). Screening large audio datasets to determine the time and space distribution of Screaming Piha birds in a tropical forest. Ecological Informatics, 31, 91–99.
Diego Llusia, Camille Desjonquères, Pablo Bolaños, Phillipe Gaucher, Elodie Courtois.