Vocal activity of the rufous nightjar (
            <i>Antrostomus rufus</i>
            ) in subtropical Yungas Andean forests of Argentina

Schaaf, Alejandro Alberto; Boullhesen, Martín; Akmentins, Mauricio Sebastián

doi:10.1080/23766808.2023.2185963

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…The lunar cycle may have a balanced coverage in terrestrial studies as its influence is established for seabirds (Mougeot and Bretagnolle 2000), but it could also have been randomly evenly sampled. Nonetheless, the cycle should be explicitly considered for more taxa, especially for nocturnal or crepuscular ones which exhibit behavioral plasticity depending on lunar illumination (Kronfeld-Schor et al 2013;Appel et al 2017;Lima et al 2021;Ferreira et al 2020;Schaaf, Boullhesen, and Akmentins 2023). Climate and land use change will impact soundscapes in unpredictable ways through changing species distributions and phenology, thereby justifying the need for better coverage across multiple time scales -including inter-annual ones -to monitor changes in the ecosystems (Desjonquères et al 2022).…”

Section: Discussionmentioning

confidence: 99%

Worldwide Soundscapes: a synthesis of passive acoustic monitoring across realms

Darras,

Rountree,

Van Wilgenburg

et al. 2024

Preprint

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The need for remote, reliable, and scalable monitoring of plummeting biodiversity amidst mounting human pressures on ecosystems and changing climate has sparked enormous interest in Passive Acoustic Monitoring (PAM) over multiple disciplines and ecosystems. Even though PAM could support UN Sustainable Development Goals and the Global Biodiversity Information Facility by facilitating the evaluation of management and conservation actions, global efforts have not yet been synthesised. We collated metadata from 293 soundscape datasets since 2001 describing sampling sites, deployment schedules, focal taxa, and recording parameters. We quantified biological, anthropogenic, and geophysical soundscape components across nine terrestrial and aquatic ecosystems. This is the first global, quantitative analysis of ecoacoustic sampling coverage across spatial, temporal, and ecological scales. Spatial sampling densities are two orders of magnitude higher in terrestrial realms (33 sites/Mkm2) compared to aquatic realms, while substantial data gaps remain in subterranean realms, extreme environments, and tropical waters. Diel and lunar cycles are well-covered, but in temperate regions, a third of freshwater and terrestrial datasets sample only one season while 57% of marine datasets cover all seasons. Opportunities arise for taxonomically broader sampling on land, for increasing spatial coverage in the high seas, and for more spatially-replicated deployments in freshwater. We illustrate the potential of soundscape ecology to address global questions related to macroecology, conservation biology, and phenology using sample soundscapes. PAM-enabled soundscape ecology has come of age to bridge different disciplines and quantify our progress towards Sustainable Development Goals on land and underwater.

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Section: Discussionmentioning

confidence: 99%

Worldwide Soundscapes: a synthesis of passive acoustic monitoring across realms

Darras,

Rountree,

Van Wilgenburg

et al. 2024

Preprint

Self Cite

View full text Add to dashboard Cite

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“…We therefore recommend sampling approximately one hour before and after sunrise to coincide with the morning chorus. If resources permit, recording sessions could commence from midnight to encompass vocal peaks of nocturnal species ( Schaaf et al ., 2023 ; Pérez-Granados & Schuchmann, 2020 ; Odom & Mennill, 2010 ).…”

Section: Discussionmentioning

confidence: 99%

Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests

Wu,

Ko,

Lin

et al. 2024

F1000Res

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

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Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests

Wu,

Ko,

Lin

et al. 2023

F1000Res

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Background: Passive acoustic monitoring (PAM) has become a popular tool for bird monitoring, with vocal activity rate (VAR) being a key metric to gauge bird populations. However, the effective temporal sampling design at the community level for representative VAR data remains underexplored. Methods: In this study, we used vocalizations extracted from recordings of 12 bird species, taken at 14 PAM stations situated in subtropical montane forests over a four-month period, to assess the impact of temporal sampling on VAR across three distinct scales: seasonal, diel, and hourly. For seasonal sampling analysis, we employed hierarchical clustering analysis (HCA) and the coefficient of variation (CV). Generalized additive models (GAMs) were utilized for diel sampling analysis, and we determined the average difference in VAR values per minute for the hourly sampling analysis. Results: We identified significant day and species-specific VAR fluctuations. The survey season was divided into five segments; the earliest two showed high variability and are best avoided for surveys. Data from days with heavy rain and strong winds showed reduced VAR values and should be excluded from analysis. Continuous recordings spanning at least seven days, extending to 14 days is optimal for minimizing sampling variance. Morning chorus recordings effectively capture the majority of bird vocalizations, and hourly sampling with frequent, shorter intervals aligns closely with continuous recording outcomes. Conclusions: While our findings are context-specific, they highlight the significance of strategic sampling in avian monitoring, optimizing resource utilization and enhancing the breadth of monitoring efforts.

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Vocal activity of the rufous nightjar ( Antrostomus rufus ) in subtropical Yungas Andean forests of Argentina

Cited by 3 publications

References 19 publications

Worldwide Soundscapes: a synthesis of passive acoustic monitoring across realms

Worldwide Soundscapes: a synthesis of passive acoustic monitoring across realms

Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests

Evaluating community-wide temporal sampling in passive acoustic monitoring: A comprehensive study of avian vocal patterns in subtropical montane forests

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