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024 7 |a 10.1111/cobi.13516  |2 doi 
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100 1 |a Wood, Connor M  |e verfasserin  |4 aut 
245 1 0 |a Using the ecological significance of animal vocalizations to improve inference in acoustic monitoring programs 
264 1 |c 2021 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 26.04.2021 
500 |a Date Revised 26.04.2021 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a © 2020 Society for Conservation Biology. 
520 |a Recent bioacoustic advances have facilitated large-scale population monitoring for acoustically active species. Animal sounds, however, can of information that is underutilized in typical approaches to passive acoustic monitoring (PAM) that treat sounds simply as detections. We developed 3 methods of extracting additional ecological detail from acoustic data that are applicable to a broad range of acoustically active species. We conducted landscape-scale passive acoustic surveys of a declining owl species and an invasive congeneric competitor in California. We then used sex-specific vocalization frequency to inform multistate occupancy models; call rates at occupied sites to characterize interactions with interspecific competitors and assess habitat quality; and a flexible multivariate approach to differentiate individuals based on vocal characteristics. The multistate occupancy models yielded novel estimates of breeding status occupancy rates that were more robust to false detections and captured known habitat associations more consistently than single-state occupancy models agnostic to sex. Call rate was related to the presence of a competitor but not habitat quality and thus could constitute a useful behavioral metric for interactions that are challenging to detect in an occupancy framework. Quantifying multivariate distance between groups of vocalizations provided a novel quantitative means of discriminating individuals with ≥20 vocalizations and a flexible tool for balancing type I and II errors. Therefore, it appears possible to estimate site turnover and demographic rates, rather than just occupancy metrics, in PAM programs. Our methods can be applied individually or in concert and are likely generalizable to many acoustically active species. As such, they are opportunities to improve inferences from PAM data and thus benefit conservation 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
650 4 |a bioacoustics 
650 4 |a bioacústica 
650 4 |a call rate 
650 4 |a demografía 
650 4 |a demography 
650 4 |a distancia multivariada 
650 4 |a individualidad vocal 
650 4 |a modelado de ocupación 
650 4 |a multivariate distance 
650 4 |a occupancy modeling 
650 4 |a signal theory 
650 4 |a tasa de llamados 
650 4 |a teoría de señales 
650 4 |a vocal individuality 
650 4 |a 信号理论 
650 4 |a 占有模型 
650 4 |a 声音个性 
650 4 |a 多元距离 
650 4 |a 生物声学 
650 4 |a 种群统计学 
650 4 |a 鸣叫率 
700 1 |a Klinck, Holger  |e verfasserin  |4 aut 
700 1 |a Gustafson, Michaela  |e verfasserin  |4 aut 
700 1 |a Keane, John J  |e verfasserin  |4 aut 
700 1 |a Sawyer, Sarah C  |e verfasserin  |4 aut 
700 1 |a Gutiérrez, R J  |e verfasserin  |4 aut 
700 1 |a Peery, M Zachariah  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Conservation biology : the journal of the Society for Conservation Biology  |d 1999  |g 35(2021), 1 vom: 07. Feb., Seite 336-345  |w (DE-627)NLM098176803  |x 1523-1739  |7 nnns 
773 1 8 |g volume:35  |g year:2021  |g number:1  |g day:07  |g month:02  |g pages:336-345 
856 4 0 |u http://dx.doi.org/10.1111/cobi.13516  |3 Volltext 
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952 |d 35  |j 2021  |e 1  |b 07  |c 02  |h 336-345