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Nr.	Titel	Autor	Jahr
1	Assessing spatial variability and efficacy of surrogate species at an ecosystem scale	Brunk, Kristin M.* et al.	2025
2	Bioregional-scale acoustic monitoring can support fire-prone forest restoration planning	Brunk, Kristin M.* et al.	2025
3	Divergent responses of native predators to severe wildfire and biological invasion are mediated by life history	Barry, Joshua M.* et al.	2025
4	EXPANDING BIODIVERSITY MONITORING IN THE SOUTHWESTERN UNITED STATES WITH PASSIVE ACOUSTIC MONITORING	Sanderlin, Jamie S.* et al.	2025
5	Frequent, heterogenous fire supports a forest owl assemblage	McGinn, Kate* et al.	2025
6	A scalable and transferable approach to combining emerging conservation technologies to identify biodiversity change after large disturbances	Wood, Connor M.* et al.	2024
7	Guidelines for appropriate use of BirdNET scores and other detector outputs	Wood, Connor M.* et al.	2024
8	Real-time acoustic monitoring facilitates the proactive management of biological invasions	Wood, Connor M.* et al.	2024
9	Using bioacoustics to enhance the efficiency of spotted owl surveys and facilitate forest restoration	Kramer, H. Anu* et al.	2024
10	Using the BirdNET algorithm to identify wolves, coyotes, and potentially their interactions in a large audio dataset	Sossover, Daniel et al.	2024
11	Estimating population size for California spotted owls and barred owls across the Sierra Nevada ecosystem with bioacoustics	Kelly, Kevin G. et al.	2023
12	Feature embeddings from the BirdNET algorithm provide insights into avian ecology	McGinn, Kate et al.	2023
13	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
14	Passive acoustic surveys and the BirdNET algorithm reveal detailed spatiotemporal variation in the vocal activity of two anurans	Wood, Connor M.* et al.	2023
15	Quail on fire: changing fire regimes may benefit mountain quail in fire-adapted forests	Brunk, Kristin M.* et al.	2023
16	The machine learning-powered BirdNET App reduces barriers to global bird research by enabling citizen science participation	Wood, Connor M.* et al.	2022
17	BirdNET: A deep learning solution for avian diversity monitoring	Kahl, Stefan* et al.	2021
18	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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Anzahl der Dokumente:	18