Acoustic indices as proxies for biodiversity: a meta‐analysis

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2022, Volume and Issue: 97(6), P. 2209 - 2236

Published: Aug. 17, 2022

ABSTRACT As biodiversity decreases worldwide, the development of effective techniques to track changes in ecological communities becomes an urgent challenge. Together with other emerging methods ecology, acoustic indices are increasingly being used as novel tools for rapid assessment. These based on mathematical formulae that summarise features audio samples, aim extracting meaningful information from soundscapes. However, application this automated method has revealed conflicting results across literature, conceptual and empirical controversies regarding its primary assumption: a correlation between biological diversity. After more than decade research, we still lack statistically informed synthesis power elucidates whether they effectively function proxies Here, reviewed studies testing relationship diversity metrics (species abundance, species richness, diversity, abundance sounds, sounds) 11 most commonly indices. From 34 studies, extracted 364 effect sizes quantified magnitude direct link estimates conducted meta‐analysis. Overall, had moderate positive ( r = 0.33, CI [0.23, 0.43]), showed inconsistent performance, highly variable both within among studies. Over time, have been disregarding validation those examining progressively reporting smaller sizes. Some studied [acoustic entropy index (H), normalised difference soundscape (NDSI), complexity (ACI)] performed better retrieving information, sounds (number identified or unidentified species) best estimated facet local communities. We found no type monitored environment (terrestrial versus aquatic) procedure (acoustic non‐acoustic) performance indices, suggesting certain potential generalise their research contexts. also common statistical issues knowledge gaps remain be addressed future such high rate pseudoreplication multiple unexplored combinations metrics, taxa, regions. Our findings confirm limitations efficiently quantify alpha highlight caution is necessary when using them surrogates especially if employed single predictors. Although these able partially capture endorsing some extent rationale behind promising bases developments, far biodiversity. To guide efficient use review principal theoretical practical shortcomings, well prospects challenges Altogether, provide first comprehensive overview relation pave way standardised monitoring.

Language: Английский

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Effectiveness of acoustic indices as indicators of vertebrate biodiversity

Ecological Indicators, Journal Year: 2023, Volume and Issue: 147, P. 109937 - 109937

Published: Jan. 25, 2023

Effective monitoring tools are key for tracking biodiversity loss and informing management intervention strategies. Passive acoustic promises to provide a cheap effective way monitor across large spatial temporal scales, however, extracting useful information from long-duration audio recordings still proves challenging. Recently, range of indices have been developed, which capture different aspects the soundscape, may estimate traditional measures. Here we investigated relationship between 13 obtained passive estimates various vertebrate taxonomic groupings manual surveys at six sites spanning over 20 degrees latitude along Australian east coast. We found number individual that correlated well with species richness, Shannon's diversity index, total count survey methods. Correlations were typically greater avian than anuran non-avian biodiversity. Acoustic also better richness index. Random forest models incorporating multiple provided more accurate predictions single alone. Out tested, cluster count, mid-frequency cover spectral density contributed greatest predictive ability models. Our results suggest could be tool certain groups. Further work is required understand how site-specific variables can incorporated into improve capabilities taxa besides avians, particularly anurans.

Language: Английский

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The limits of acoustic indices

Nature Ecology & Evolution, Journal Year: 2024, Volume and Issue: 8(4), P. 606 - 607

Published: Feb. 14, 2024

Language: Английский

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Poor performance of acoustic indices as proxies for bird diversity in a fragmented Amazonian landscape

Ecological Informatics, Journal Year: 2023, Volume and Issue: 77, P. 102241 - 102241

Published: July 29, 2023

Language: Английский

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Influence of recording devices and environmental noise on acoustic index scores: Implications for bird sound-based assessments

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111759 - 111759

Published: Feb. 1, 2024

Passive acoustic monitoring serves as a minimally invasive and effective method for biodiversity assessment, particularly in bird through the application of indices. However, use different recording devices types environmental noise (e.g., rain, wind, stream, traffic noise) lead to signal distortions that affect ecoacoustics Currently, there are no established guidelines specifying technical requirements signal-to-noise ratio (SNR) threshold accurate calculation To enhance accuracy indices assessments, this study investigated impact (rain, on In study, we selected six indices: Acoustic Complexity Index, Diversity Evenness Bioacoustic Entropy Normalized Difference Soundscape used four simultaneously record 104 h bird-sound data at same location. addition, 44 noisy signals with intensities were artificially synthesized comparison. The sound then analyze effects assessment. Our results showed (a) all affected by device used; (b) each index had sensitivities types; (c) was SNR above which effect negligible. This provides recommendations selection determines thresholds signals, contributing refinement protocols acquiring preprocessing These findings aim establish standardized acquisition future

Language: Английский

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Land-use intensity and landscape structure drive the acoustic composition of grasslands

Agriculture Ecosystems & Environment, Journal Year: 2022, Volume and Issue: 328, P. 107845 - 107845

Published: Jan. 5, 2022

Language: Английский

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Monitoring Grassland Bird Communities with Acoustic Indices

Birds, Journal Year: 2025, Volume and Issue: 6(1), P. 11 - 11

Published: Feb. 11, 2025

Several researchers have tried to find relationships between acoustic indices and vocal animal communities use as a passive monitoring method, human-derived surveys are expensive, time-consuming, suffer from observer bias. However, supplanting manual with is daunting task, considering effective for biological need differentiate biologically relevant sounds the broader soundscape, including anthropophony geophony. The objective of our study was test how well can be applied avian community within temperate grassland ecosystem in North America. We collected data calculated six commonly used recordings an intact lowland tallgrass prairie Central Platte River Valley Nebraska throughout breeding seasons 2019–2021. Singular had only weak correlations all metrics. multivariate models multiple showed potential bird abundance when considered. Fragmented remnants likely experience significant that needs accounted populations. Additionally, incorporating several may provide more accurate prediction biophony than individual indices.

Language: Английский

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Characterization of soundscapes with acoustic indices and clustering reveals phenology patterns in a subtropical rainforest

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113126 - 113126

Published: Jan. 27, 2025

Language: Английский

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Acoustic indices as proxies for bird species richness in an urban green space in Metro Manila

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(7), P. e0289001 - e0289001

Published: July 28, 2023

We assessed eight acoustic indices as proxies for bird species richness in the National Science Complex (NSC), University of Philippines Diliman. The were normalized Acoustic Complexity Index (nACI), Diversity (ADI), inverse Evenness (1-AEI), Bioacoustic (BI), Entropy (H), Temporal (Ht), Spectral (Hf), and Richness (AR). Low-cost, automated sound recorders using a Raspberry Pi placed three sites at NSC to continuously collect 5-min samples from July 2020 January 2022. selected 840 samples, equivalent 70 hours, through stratified sampling pre-processed them before conducting index analysis on raw data. measured Spearman’s correlation between each obtained manual spectrogram scanning listening recordings. compared coefficients pre-processed. wav files assess robustness Fisher’s z-transformation. Additionally, we used GLMMs determine how predict based season time day. rank GLMM showed significant, weak negative correlations nACI, 1-AEI, Ht, AR with richness. suggest that performance are dependent various factors, such local noise conditions, composition, season, Thus, ground-truthing should be done applying studies. Among indices, nACI was best-performing index, performing consistently across independently highlight importance pre-processing data urban settings other noisy environments analysis, this strengthens values

Language: Английский

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Exploring the application of acoustic indices in the assessment of bird diversity in urban forests

Biodiversity Science, Journal Year: 2023, Volume and Issue: 31(1), P. 22080 - 22080

Published: Jan. 1, 2023

Aims:Calling is an important way for birds to communicate and transmit information each other.This provides a unique opportunity assess bird diversity through acoustic monitoring.The use of indices the rapid assessment biodiversity emerging survey method, but complex sonic environment in urban forests may lead bias.The feasibility using still needs be further explored.Methods: To understand effectiveness forests, we set up 50 matrix sample sites Beijing Eastern Suburb Forest Park.Bird point observations simultaneous data collection were conducted monthly from April June 2021.In order verify monitoring, compared results two methods.Spearman correlation analysis generalized linear mixed models used relationship between six commonly richness abundance.The performance index was subsequently measured. •技术与方法• 中国野生脊椎动物鸣声监测与生物声学研究专题Results: (1) A total 35 species, comprising 10 orders 23 families, recorded this experiment.Although number species identified monitoring equal observations, there discrepancies which specific observed.(2) The abundance varied significantly different months.The complexity (ACI) normalized difference sound (NDSI) outperformed others key variables assessing diversity.(3) Acoustic had higher predictive power (R 2 m = 0.32, R c 0.80) than 0.12, 0.18). Conclusion:Acoustic promising tool assessment, are many areas that need explored.With gradual improvement methods technology, has great potential tracking conservation management biodiversity.

Language: Английский

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