Open‐source workflow approaches to passive acoustic monitoring of bats ...
(Uploaded by Plazi for the Bat Literature Project) Abstract The affordability, storage and power capacity of compact modern recording hardware have evolved passive acoustic monitoring (PAM) of animals and soundscapes into a non‐invasive, cost‐effective tool for research and ecological management par...
| Main Authors: | , , , , , , |
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| Format: | Article in Journal/Newspaper |
| Language: | unknown |
| Published: |
Zenodo
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.13481427 https://zenodo.org/doi/10.5281/zenodo.13481427 |
| Summary: | (Uploaded by Plazi for the Bat Literature Project) Abstract The affordability, storage and power capacity of compact modern recording hardware have evolved passive acoustic monitoring (PAM) of animals and soundscapes into a non‐invasive, cost‐effective tool for research and ecological management particularly useful for bats and toothed whales that orient and forage using ultrasonic echolocation. The use of PAM at large scales hinges on effective automated detectors and species classifiers which, combined with distance sampling approaches, have enabled species abundance estimation of toothed whales. But standardized, user‐friendly and open access automated detection and classification workflows are in demand for this key conservation metric to be realized for bats. We used the PAMGuard toolbox including its new deep learning classification module to test the performance of four open‐source workflows for automated analyses of acoustic datasets from bats. Each workflow used a different initial detection ... |
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