Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests DOI Creative Commons
Shih‐Hung Wu, Jerome Chie‐Jen Ko, Ruey‐Shing Lin

et al.

F1000Research, Journal Year: 2024, Volume and Issue: 12, P. 1299 - 1299

Published: Jan. 23, 2024

Background From passive acoustic monitoring (PAM) recordings, the vocal activity rate (VAR), vocalizations per unit of time, can be calculated and is essential for assessing bird population abundance. However, VAR subject to influences from a range factors, including species environmental conditions. Identifying optimal sampling design obtain representative data estimation crucial research objectives. PAM commonly uses temporal strategies decrease volume recordings resources needed audio management. Yet, comprehensive impact this approach on remains insufficiently explored. Methods In study, we used extracted 12 species, taken at 14 stations situated in subtropical montane forests over four-month period, assess across three distinct scales: short-term periodic, diel, hourly. For periodic analysis, employed hierarchical clustering analysis (HCA) coefficient variation (CV). Generalized additive models (GAMs) were utilized diel determined average difference values minute hourly analysis. Results We identified significant day species-specific fluctuations. The survey season was divided into five segments; earliest two showed high variability are best avoided surveys. Data days with heavy rain strong winds reduced should excluded Continuous spanning least seven days, extending minimizing variance. Morning chorus effectively capture majority vocalizations, frequent, shorter intervals aligns closely continuous recording outcomes. Conclusions While our findings context-specific, they highlight significance strategic avian monitoring, optimizing resource utilization enhancing breadth efforts.

Language: Английский

Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests DOI Creative Commons
Shih‐Hung Wu, Jerome Chie‐Jen Ko, Ruey‐Shing Lin

et al.

F1000Research, Journal Year: 2024, Volume and Issue: 12, P. 1299 - 1299

Published: Jan. 23, 2024

Background From passive acoustic monitoring (PAM) recordings, the vocal activity rate (VAR), vocalizations per unit of time, can be calculated and is essential for assessing bird population abundance. However, VAR subject to influences from a range factors, including species environmental conditions. Identifying optimal sampling design obtain representative data estimation crucial research objectives. PAM commonly uses temporal strategies decrease volume recordings resources needed audio management. Yet, comprehensive impact this approach on remains insufficiently explored. Methods In study, we used extracted 12 species, taken at 14 stations situated in subtropical montane forests over four-month period, assess across three distinct scales: short-term periodic, diel, hourly. For periodic analysis, employed hierarchical clustering analysis (HCA) coefficient variation (CV). Generalized additive models (GAMs) were utilized diel determined average difference values minute hourly analysis. Results We identified significant day species-specific fluctuations. The survey season was divided into five segments; earliest two showed high variability are best avoided surveys. Data days with heavy rain strong winds reduced should excluded Continuous spanning least seven days, extending minimizing variance. Morning chorus effectively capture majority vocalizations, frequent, shorter intervals aligns closely continuous recording outcomes. Conclusions While our findings context-specific, they highlight significance strategic avian monitoring, optimizing resource utilization enhancing breadth efforts.

Language: Английский

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