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Nr. Titel Autor Jahr
1 A scalable and transferable approach to combining emerging conservation technologies to identify biodiversity change after large disturbances Wood, Connor M.* et al. 2024
2 Using bioacoustics to enhance the efficiency of spotted owl surveys and facilitate forest restoration Kramer, H. Anu* et al. 2024
3 Using the BirdNET algorithm to identify wolves, coyotes, and potentially their interactions in a large audio dataset Sossover, Daniel et al. 2024
4 Estimating population size for California spotted owls and barred owls across the Sierra Nevada ecosystem with bioacoustics Kelly, Kevin G. et al. 2023
5 Feature embeddings from the BirdNET algorithm provide insights into avian ecology McGinn, Kate et al. 2023
6 Pairing a user-friendly machine-learning animal sound detector with passive acoustic surveys for occupancy modeling of an endangered primate Wood, Connor M.* et al. 2023
7 Passive acoustic surveys and the BirdNET algorithm reveal detailed spatiotemporal variation in the vocal activity of two anurans Wood, Connor M.* et al. 2023
8 Quail on fire: changing fire regimes may benefit mountain quail in fire-adapted forests Brunk, Kristin M.* et al. 2023
9 The machine learning-powered BirdNET App reduces barriers to global bird research by enabling citizen science participation Wood, Connor M.* et al. 2022
10 BirdNET: A deep learning solution for avian diversity monitoring Kahl, Stefan* et al. 2021
11 Survey coverage, recording duration, and community composition affect observed species richness in passive acoustic surveys Wood, Connor M.* et al. 2021
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