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| Content Provider | frontiers |
|---|---|
| Author | Farina, Almo Eldridge, Alice Fuller, Susan Pavan, Gianni |
| Abstract | The global decline of biodiversity in the wake of expanding human development (UN, 2019a), resource depletion (UN, 2019b), and climate change (IPCC, 2021) motivates research in basic and applied ecological science. The new scientific discipline of ecoacoustics (Sueur and Farina 2015) creates an epistemological bridge between ecology, acoustics, animal behaviour, biotremology, and semiotics, providing fresh perspectives to study ecosystem function and new tools for ecological monitoring in terrestrial and aquatic ecosystems. Advances in affordable hardware (Pavan et al., 2022) mean that we can now passively, remotely and continuously record acoustic environments; advances in machine learning provide potential methods to digest the big data generated, but many theoretical and practical issues remain. We are pleased to introduce this special issue on Advances in Ecoacoustics that makes important contributions to the development of the semantic, conceptual and theoretical foundations, analysis methods and infrastructures necessary for ecoacoustics to advance as a scientific discipline that is equipped to tackle the urgent environmental issues we face today.Four articles address core definitions, concepts, and theoretical principles in ecoacoustics. A primary focus of the field is the investigation of the ecological role of soundscape. However, the term "soundscape" encompasses diverse concepts, including objective physical phenomena and subjective perceptions. With the aim of ... |
| ISSN | 2296701X |
| DOI | 10.3389/fevo.2022.978516 |
| Volume Number | 10 |
| Journal | Frontiers in Ecology and Evolution |
| Language | English |
| Publisher Date | 2022-07-28 |
| Access Restriction | Open |
| Subject Keyword | Ecoacoustics epistemology Machine learning Biotremology Ecoacoustic methods Ecoacoustic monitoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ecology Ecology, Evolution, Behavior and Systematics |
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