Relationship between acoustic indices, length of recordings and processing time: a methodological test DOI Creative Commons
Edgar Cifuentes, Juliana Vélez, Simon J. Butler

et al.

Biota Colombiana, Journal Year: 2021, Volume and Issue: 22(1)

Published: Jan. 1, 2021

Ecoacoustic approaches have the potential to provide rapid biodiversity assessments and avoid costly fieldwork. Their use in studies for improving management conservation of natural landscapes has grown considerably recent years. Standardised methods sampling acoustic information that deliver reliable consistent results within between ecosystems are still lacking. Sampling frequency duration particularly important considerations because shorter, intermittent recordings mean recorder batteries last longer data processing is less computationally intensive, but a smaller proportion available soundscape sampled. Here, we compare indices time subsamples increasing clipped from 94 one-hour recordings, test how different behave, order identify minimum sample length required. Our suggest short distributed across survey period accurately represent patterns, while optimizing collection processing. ACI H most stable indices, showing an ideal schedule ten 1-minute samples hour. Although ADI, AEI NDSI well patterns under same schedule, these more robust continuous recording formats. Such targeted subsampling could greatly reduce storage computational power requirements large-scale long-term projects.

Language: Английский

Mitigating bias in long‐term terrestrial ecoacoustic studies DOI Creative Commons
David Jarrett, R. Barnett, Tom Bradfer‐Lawrence

et al.

Journal of Applied Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Abstract Long‐term biodiversity monitoring is needed to track progress towards ambitious global targets reduce species loss and restore ecosystems. The recent development of cheap robust acoustic recording devices offers a cost‐effective means gathering standardised long‐term datasets. Accounting for sources bias in ecological research fundamental part the study design process. To highlight this issue context terrestrial ecoacoustic monitoring, here we collate discuss arising from (i) hardware devices, (ii) firmware, software analysis tools (iii) deployment environment. One important source unavoidable changes hardware—to demonstrate how potentially introduces bias, present two case studies comparing output simultaneous recordings different recorders. mitigate biases, recommend effective documentation environmental hardware‐related variables, as well data storage strategy that facilitates reanalysis. Additionally, use regular calibration tests measure variation detection space will facilitate analytical approaches or post‐hoc AI solutions remove unwanted biases. Synthesis applications : suggested mitigations described be relevance manufacturers, researchers conservation practitioners. Researchers practitioners must fully aware relevant biases when designing should incorporate appropriate into their design.

Language: Английский

Citations

0
A soundscape approach for a short-term acoustic monitoring of a critically endangered Cuban frog DOI

M. Cruz,

Sergio L. del Castillo Domínguez, Leonardo F. Machado

et al.

Biodiversity and Conservation, Journal Year: 2025, Volume and Issue: unknown

Published: April 5, 2025

Language: Английский

Citations

0
Estimating rainfall intensity from surveillance audio: A hybrid model-data-driven framework DOI
Xing Wang, Kun Zhao, Haiqin Chen

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133295 - 133295

Published: April 1, 2025

Language: Английский

Citations

0
From valleys to peaks: characterizing soundscapes in the Northern European Limestone Alps DOI Creative Commons
Manuel Ebner, Ulrike Tappeiner, Uta Schirpke

et al.

Landscape Ecology, Journal Year: 2025, Volume and Issue: 40(5)

Published: April 29, 2025

Language: Английский

Citations

0
Acoustic indices fail to represent different facets of biodiversity DOI Creative Commons
Matteo Giuliani, Davide Mirante,

Elisa Abbondanza

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112451 - 112451

Published: Aug. 5, 2024

Language: Английский

Citations

3
An Exploration of Ecoacoustics and its Applications in Conservation Ecology DOI
Almo Farina, Benjamin Krause,

Tim C. Mullet

et al.

Biosystems, Journal Year: 2024, Volume and Issue: 245, P. 105296 - 105296

Published: Aug. 15, 2024

Language: Английский

Citations

3
Environmental sound as a mirror of landscape ecological integrity in monitoring programs DOI Creative Commons
Camilo Sánchez‐Giraldo, Camilo Andrés Correa Ayram, Juan M. Daza

et al.

Perspectives in Ecology and Conservation, Journal Year: 2021, Volume and Issue: 19(3), P. 319 - 328

Published: June 11, 2021

Soundscape research has acquired a paramount role in biodiversity conservation as it may provide timely and reliable information about the ecological integrity. The relationship between soundscape complexity integrity highly biodiverse environments, well factors affecting this require thorough understanding. We determined how relates to landscape at different spatial temporal scales montane forest northern Andes of Colombia. Between May–July 2018 we obtained acoustic recordings from 31 sampling sites protected area hydropower plant, estimated nine indices an index (EII) derived fragmentation, connectivity, habitat quality. Five indices, linked evenness signals levels biophonic signals, were associated with changes EII indicated presence more even, saturated, acoustically rich soundscapes higher Relationships stronger smaller scale (100 m) responded daily variation soundscape, strongest associations occurring mainly sunrise noon. show that measuring activity distribution number frequency peaks reliably reflect integrity, can be integrated remote sensing tool for management. Our results highlight analysis feasible approach monitoring planning unknown threatened Andean landscapes.

Language: Английский

Citations

23
Auditory discrimination of natural soundscapes DOI Creative Commons
Frédéric Apoux, N. Miller, Régis Ferrière

et al.

The Journal of the Acoustical Society of America, Journal Year: 2023, Volume and Issue: 153(5), P. 2706 - 2706

Published: May 1, 2023

A previous modelling study reported that spectro-temporal cues perceptually relevant to humans provide enough information accurately classify "natural soundscapes" recorded in four distinct temperate habitats of a biosphere reserve [Thoret, Varnet, Boubenec, Ferriere, Le Tourneau, Krause, and Lorenzi (2020). J. Acoust. Soc. Am. 147, 3260]. The goal the present was assess this prediction for using 2 s samples taken from same soundscape recordings. Thirty-one listeners were asked discriminate these recordings based on differences habitat, season, or period day an oddity task. Listeners' performance well above chance, demonstrating effective processing suggesting general high sensitivity natural discrimination. This did not improve with training up 10 h. Additional results obtained habitat discrimination indicate temporal play only minor role; instead, appear base their decisions primarily gross spectral related biological sound sources acoustics. Convolutional neural networks trained perform similar task extracted by auditory model as input. are consistent idea exclude available when discriminating short habitats, implying form sub-optimality.

Language: Английский

Citations

8
Acoustic indices as proxies for bird species richness in an urban green space in Metro Manila DOI Creative Commons
S. Diaz, Jelaine L. Gan, Giovanni Tapang

et al.

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

Citations

8
What does Atlantic Forest soundscapes can tell us about landscape? DOI Creative Commons
Marina D. A. Scarpelli, Mílton Cezar Ribeiro, Camila Palhares Teixeira

et al.

Ecological Indicators, Journal Year: 2020, Volume and Issue: 121, P. 107050 - 107050

Published: Oct. 16, 2020

The ecoacoustics approach for environmental recordings analysis is used to understand and identify big ecological patterns related different sound sources, like animals, humans the environment itself. Sounds can vary according several features that be on its surroundings or far away, therefore they are very much reliant scale. Because changing so we cannot account all those changes in same speed as happen, need fast evaluation tools, such remote sensing acoustic monitoring (considered equivalent of spatial sounds). Considering scale effect was never measured soundscapes before, aimed see what indices were responsive. Also, tested how influenced by natural vegetation cover. We recorded sounds Atlantic Forest fragments during three months rainy season. Then calculated percentage cover scales. Our results corroborated our initial hypotheses: respond scales their medians varied amount surroundings. More studies needed with less fragmented areas, test behaviour a continuum, but consider this work an important starting point tropical especially degraded threatened area Forest.

Language: Английский

Citations

22