The speed of global change keeps increasing bringing up dramatic turn over of species assemblages. This can lead to modified ecosystem functions such as changes in pollination rates or seed dispersion. These functions require close monitoring. Monitoring methods based on human observation require a lot of workforce and are usually limited in their spatiotemporal and species coverage. Progress in computing power and data storage fostered the emergence of novel autonomous sampling methods (e.g. metabarcoding, remote sensing, camera traps or acoustic monitoring). The use of acoustic monitoring appears as a convenient solution for an autonomous and automatic monitoring of species dynamics and activity in various ecosystems. In this talk, I present current and possible future possibilities of this type of monitoring to access species interactions and ecosystem functions. My aim is to understand and model the impact of global change through sound. Using data derived from acoustics is expected to improve our predictions of spatiotemporal species dynamics in various ecosystems.
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