Acoustic phenology among tropical resident birds differs between native forest species and parkland colonizer species DOI Open Access
Laura Berman,

Wei Xuan Tan,

T. Ulmar Grafe

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: March 31, 2024

Most birds are characterized by a seasonal phenology closely adapted to local climatic conditions, even in tropical habitats where seasonality is slight. In order better understand the phenologies of resident birds, and how may differ among species at same site, we used ~70,000 hours audio recordings collected continuously for two years four recording stations Singapore nine custom-made machine learning classifiers determine vocal panel bird species. We detected distinct activity some but not others. Native forest sang seasonally. contrast, which have only had breeding populations last few decades exhibited seemingly aseasonal or unpredictable song throughout year. Urbanization habitat modification over 200 altered composition Singapore, appears influenced phenological dynamics avian community. It unclear what driving differences between these groups species, it be due either availability preferred foods, newly established require adjust phenology. Our results highlight ways that anthropogenic disrupt cycles regions addition altering

Language: Английский

NDVI and vegetation volume as predictors of urban bird diversity DOI Creative Commons
Andrew J. Fairbairn,

Sophia Katholnigg,

Tobias Leichtle

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 15, 2025

Language: Английский

Citations

0
Birdnet Confidence Scores Decrease with Bird Distance from the Recorder: Revisiting Pérez-Granados (2023) DOI
Cristian Pérez‐Granados

Ardeola, Journal Year: 2025, Volume and Issue: 72(2)

Published: April 17, 2025

Language: Английский

Citations

0
Population Monitoring of the Red Junglefowl Based on Acoustic Signal Recognition Technology DOI Creative Commons

Peipei Hao,

Xingyi Jiang, Xiaodong Rao

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Vocalisation is a crucial means of communication for birds and plays key role in survival reproductive success. Individual differences songs have been used identification many animals, but few studies integrated song individuality into wildlife population monitoring. The male red junglefowl Gallus gallus jabouillei tropical forest bird that primarily uses acoustic signals conspecific communication. From July to August 2020, the calls 34 pasture‐raised were recorded individual based on vocalisations. Fieldwork was conducted from March May 2021 Datian National Nature Reserve, Hainan, China, during which microphone arrays deployed record wild throughout their breeding season. Discriminant function analysis (DFA) applied identify individuals, achieving correct rate 95.7%. Affinity propagation (AP) clustering perform unsupervised pairwise syllable similarities, resulting clusters corresponding actual number with type recognition 99.4%. Kaleidoscope software extract call period junglefowl; precision 80.38%, recall 75.85%. Using AP vocalisation analysis, estimated core area approximately 205 manual verification accuracy 82.5%. This result slightly lower than estimate 234 individuals obtained using vocal count random encounter methods. Our study demonstrated potential affinity techniques estimating size junglefowl.

Language: Английский

Citations

0
Advancing invasive species monitoring: A free tool for detecting invasive cane toads using continental-scale data DOI Creative Commons

Fcc Leung,

Lin Schwarzkopf, Slade Allen‐Ankins

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103172 - 103172

Published: April 1, 2025

Language: Английский

Citations

0
Diel and Annual Patterns of Vocal Activity of Three Neotropical Wetland Birds Revealed via BirdNET DOI Creative Commons
Cristian Pérez‐Granados, Karl‐Ludwig Schuchmann

Diversity, Journal Year: 2025, Volume and Issue: 17(5), P. 324 - 324

Published: April 30, 2025

Compared with traditional field techniques, automated and noninvasive bird monitoring such as passive acoustic monitoring, offer significant advantages. However, the extensive data collected through can be challenging to analyze may require use of machine learning algorithms for efficient processing. BirdNET is a user-friendly ready-to-use tool that recognize more than 6500 wildlife species, including several tropical species. performance in ecosystems has rarely been assessed. Here, we evaluate effectiveness vocal activity three Neotropical wetland species from recordings over year Brazilian Pantanal: Green Ibis (Mesembrinibis cayennensis), Limpkin (Aramus guarauna), Sunbittern (Eurypyga helias). was able detect presence 82–92% known presence. Similarly, BirdNET’s ability correctly identify vocalizations consistently greater 77% (range 77–98%), confirming its these The peak occurred during crepuscular periods, at end rainy season, receding period when risk nest damage flood pulses low food availability high owing large small water bodies. improve areas but also facilitate research improves our knowledge birds’ natural history, which remains unknown many

Language: Английский

Citations

0
Automated note annotation after bioacoustic classification: Unsupervised clustering of extracted acoustic features improves detection of a cryptic owl DOI Creative Commons

Callan Alexander,

Robert J. Clemens,

Paul Roe

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103222 - 103222

Published: May 1, 2025

Language: Английский

Citations

0
Species distribution model performance improves when habitat characterizations are centered on detected individuals instead of observers DOI
Fang-Yu Shen,

Fiona Victoria Stanley Jothiraj,

Rebecca Hutchinson

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 176, P. 113546 - 113546

Published: May 27, 2025

Language: Английский

Citations

0
Prototyping an internet-of-things-based bioacoustics system to support research and surveillance of avian-associated infectious diseases DOI Creative Commons
Marina Treskova,

Hammad Aamer,

Harald Mack

et al.

Sensing and Bio-Sensing Research, Journal Year: 2025, Volume and Issue: unknown, P. 100817 - 100817

Published: June 1, 2025

Language: Английский

Citations

0
To Bag or Not to Bag? How AudioMoth-Based Passive Acoustic Monitoring Is Impacted by Protective Coverings DOI Creative Commons
Patrick E. Osborne, Tatiana Alvares-Sanches, Paul R. White

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(16), P. 7287 - 7287

Published: Aug. 20, 2023

Bare board AudioMoth recorders offer a low-cost, open-source solution to passive acoustic monitoring (PAM) but need protecting in an enclosure. We were concerned that the choice of enclosure may alter spectral characteristics recordings. focus on polythene bags as simplest and assess how their use affects metrics. Using anechoic chamber, series pure sinusoidal tones from 100 Hz 20 kHz recorded 10 devices calibrated Class 1 sound level meter. The recordings made bare devices, well after covering them with different bags. Linear phase finite impulse response filters designed replicate frequency functions between incident pressure wave signals. applied these ~1000 effects 19 While showed very consistent responses accentuation higher frequencies, bag enclosures led significant erratic attenuation inconsistent frequencies. Few metrics insensitive this uncertainty, rendering index comparisons unreliable. Biases due PAM be considered when choosing appropriate indices for ecological studies. Archived without adequate metadata potentially produce biased values should treated cautiously.

Language: Английский

Citations

6
Effective ecological monitoring using passive acoustic sensors: Recommendations for conservation practitioners DOI Creative Commons
Daniella Teixeira, Paul Roe, Berndt J. van Rensburg

et al.

Conservation Science and Practice, Journal Year: 2024, Volume and Issue: 6(6)

Published: May 10, 2024

Abstract Passive acoustic recorders have emerged as powerful tools for ecological monitoring. However, effective monitoring is not simply an act of recording sounds. To meaning conservation and management, needs to be properly planned analyzed yield high quality information. Here, we provide a set considerations the design program. We argue that such program, has following attributes: (1) established appropriate partnerships with landowners, Traditional Owners, researchers, or other relevant stakeholders, (2) based on clear objectives questions, (3) explicit in its target sound signals, (4) considered in‐field sensor placement range factors, including experimental design, statistical power, background noise, potential impacts human privacy animal disturbance, (5) justified schedule periodicity, (6) methods process data line objectives, (7) protocols permanent storage access. Acoustic increasingly used large‐scale programs will important addressing global biodiversity targets new markets. It critical are designed effectively efficiently capture address pertinent emerging issues conservation.

Language: Английский

Citations

2