Cited by 106Animal Vocal Communication and BehaviorWildlife Ecology and ConservationMarine animal studies overview

The DOI matches its Crossref record; 100 of the 101 references it cites were found in a registry or an index; none of the 59 sources its claims cite is checked for support yet.

Using acoustic indices in ecology: Guidance on study design, analyses and interpretation

Open access
Bradfer‐Lawrence, Tom, Desjonqueres, Camille, Eldridge, Alice, Johnston, Alison, Metcalf, Oliver·2023·Methods in Ecology and Evolution

Abstract

The rise of passive acoustic monitoring and the rapid growth in large audio datasets is driving the development of analysis methods that allow ecological inferences to be drawn from acoustic data. Acoustic indices are currently one of the most widely applied tools in ecoacoustics. These numerical summaries of the sound energy contained in digital audio recordings are relatively straightforward and fast to calculate but can be challenging to interpret. Misapplication and misinterpretation have produced conflicting results and led some to question their value. To encourage better use of acoustic indices, we provide nine points of guidance to support good study design, analysis and interpretation. We offer practical recommendations for the use of acoustic indices in the study of both whole soundscapes and individual taxa and species, and point to emerging trends in ecoacoustic analysis. In particular, we highlight the critical importance of understanding the links between soundscape patterns and acoustic indices. Acoustic indices can offer insights into the state of organisms, populations, and ecosystems, complementing other ecological research techniques. Judicious selection, appropriate application and thorough interpretation of existing indices is vital to bolster robust developments in ecoacoustics for biodiversity monitoring, conservation and future research.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This Perspective provides nine points of guidance for using acoustic indices in ecology across study design, analysis, and interpretation, distinguishing soundscape-descriptor and biodiversity-proxy paradigms. It argues acoustic indices can describe soundscapes but do not consistently predict biodiversity, so judicious selection, validation, and clear interpretation are essential.

Key findings

  • The paper provides nine guidance points across three research phases, stressing that researchers must decide whether acoustic indices are being used as soundscape descriptors or as biodiversity proxies, because these paradigms require different analyses and interpretation.
  • Acoustic indices can discriminate among habitat types, monitor habitat disturbance, track restoration and recovery, and detect strong temporal and spatial soundscape trends; false-colour spectrograms can condense large datasets for rapid visualisation.
  • As biodiversity proxies, indices are not straightforward: there do not appear to be any acoustic indices with a consistent relationship to species richness or density across regions or taxonomic communities, and the paper gives four reasons for caution, including that biodiversity metrics are already simplified, soundscapes shift rapidly, relationships are non-linear, and species are not represented equally.
  • Figure 2 reports three 15-s Amazonia spectrograms with Acoustic Complexity Index calculated between 0 and 4 kHz: anuran chorus ACI 78.67, Spix’s Red-handed Howler Monkey chorus ACI 78.45, and the same location about 1 h later ACI 86.18, illustrating that different ecological sources can produce similar spectral signatures and index values.

Methods

  • This is a Perspective/guidance paper, not an empirical study; the authors state there were no data or code.
  • The ideas emerged from the authors’ own soundscape research over the last decade and were consolidated through discussion with the international ecoacoustic community at two workshops in 2022: the UKAN+ “Monitoring UK biodiversity” symposium at Manchester Metropolitan University in June 2022 and the “Full-stack Bioacoustics” workshop at the Lorentz Centre, Leiden, in August 2022.
  • The guidance is organised around nine key points at three principal stages of the ecoacoustic research process (Figure 1), with a glossary of key terms and Table S1 overviewing widely used acoustic indices.

Limitations

  • Stated: there were no data or code in this Perspective; detailed advice on parameter tuning is beyond its scope and can be found in Metcalf et al. (2021, 2023); the authors cannot provide more detailed analysis guidance because each study is unique.
  • Stated: current acoustic indices do not consistently predict simple biodiversity metrics, and there is no widely generalisable relationship between acoustic diversity and biodiversity; contradictory findings may arise from research design issues and from soundscape differences among species, acoustic communities, biomes, and ecosystems.
  • Evident from the text: the guidance is based on author experience and workshop consensus rather than a systematic review or empirical validation, and the emerging deep-learning alternatives discussed are noted as prone to overfitting, opaque, and energy intensive.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1111/2041-210x.14194

Cites

100 of 100 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

33 Not checked yet · 14 Own interpretation · 3 No basis given · 1 Own result

Verify all 59 references — free account

Show all 20 claims

  • It may state two separate claims as one. 21
  • Probably not a substantial claim. 15
31 of 31
  • The paper relies on this without support.

    Acoustic indices are currently one of the most widely applied tools in ecoacoustics.

    “Acoustic indices are currently one of the most widely applied tools in ecoacoustics.”
  • The paper relies on this without support.

    Misapplication and misinterpretation of acoustic indices have produced conflicting results and led some to question their value.

    “Misapplication and misinterpretation have produced conflicting results and led some to question their value.”
  • The paper relies on this without support.

    There remain fundamental questions regarding the appropriate use of acoustic indices.

    “there remain fundamental questions regarding the appropriate use of acoustic indices.”
  • The paper relies on this without support.

    The academic literature rarely draws a clear distinction between the two paradigms of acoustic index application.

    “These approaches require different analyses and interpretation, but the academic literature rarely draws a clear distinction between the two paradigms.”
  • The paper relies on this without support.

    Large acoustic datasets necessitate automated processing and analysis.

    “Large acoustic datasets necessitate automated processing and analysis.”
  • The paper relies on this without support.

    There are circumstances where a target-signal approach is the best approach, and numerous situations when it may be necessary or preferable to consider broader soundscape patterns.

    “There are circumstances where a target-signal approach of detecting and identifying individual sounds is the best approach.However, there are numerous situations when it may be necessary or preferable to consider broader soundscape patterns rather than identifying individual target signals.”
  • The paper relies on this without support.

    There are contradictory patterns reported in the literature regarding linking acoustic indices to biodiversity metrics.

    “However, there are contradictory patterns reported in the literature.”
  • The paper relies on this without support.

    Eurasian Skylark Alauda arvensis is an excellent mimic with varied song and could generate higher acoustic diversity than an entire species-rich woodland bird assemblage.

    “For example, Eurasian Skylark Alauda arvensis is an excellent mimic with varied song and could generate higher acoustic diversity than an entire species-rich woodland bird assemblage.”
  • The paper relies on this without support.

    Current acoustic indices do not consistently predict simple biodiversity metrics.

    “Although current acoustic indices do not consistently predict simple biodiversity metrics, it does not undermine the approach in principle.”
  • The paper relies on this without support.

    In most cases, the amount of manual effort required to tie indices values to soundscape patterns is likely to be far less than that needed when directly sampling ecological trends.

    “However, in most cases, the amount of manual effort required is likely to be far less than that needed when directly sampling ecological trends.”
  • The paper relies on this without support.

    Acoustic indices are not as intuitive as some biodiversity metrics such as species richness.

    “Indices are not as intuitive as some biodiversity metrics such as species richness.”
  • The paper relies on this without support.

    Failure to explain links between acoustic indices values and soundscape patterns to non-acousticians limits effective comparison with existing research and advancement of the field.

    “Failure to meet this challenge is limiting effective comparison with existing research and advancement of the field.”
  • The paper relies on this without support.

    Ecoacoustics is a rapidly moving field.

    “Ecoacoustics is a rapidly moving field, and we present these guidelines in the context of ongoing developments in soundscape analysis.”
13 of 13

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 2

  1. Krause B. L., 1993, The Niche Hypothesis: A virtual symphony of animal sounds, the origins of musical expression and the health of habitats, The Soundscape Newsletter, 6, 5
  2. Metcalf O. C., 2023, Good practice guidelines for long‐term ecoacoustic monitoring in the UK

Cited by

Sorted by citations

See all 106

Metadata

Authors
Bradfer‐Lawrence, T., Desjonqueres, C., Eldridge, A., Johnston, A., & Metcalf, O.
Affiliations
  • University of Stirling (GB)
  • Laboratoire d'Ecologie Alpine Université Grenoble Alpes Gières France
  • University of Sussex (GB)
  • University of St Andrews (GB)
  • Manchester Metropolitan University (GB)
Corresponding author
Bradfer‐Lawrence, Tom
Venue
Methods in Ecology and Evolution
Publisher
Wiley
Published
2023-08-10
Volume
14
Issue
9
Pages
2192-2204
ISSN
2041-210X (ISSN-L)
OpenAlex
W4385738039
Cited by
106
References
101
Citations by year
2026: 38 · 2025: 33 · 2024: 31 · 2023: 4
FWCI
26.09
Type
journal article
Language
en
Open access
Locations
  • Methods in Ecology and Evolution (publishedVersion, cc-by-nc)
  • e-space (Manchester Metropolitan University) (acceptedVersion)
  • HAL (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • St Andrews Research Repository (St Andrews Research Repository) (submittedVersion, other-oa)
Funders
Leverhulme Trust (RPG‐2020‐160)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Vocal Communication and Behavior
  • Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
  • Physical Sciences › Environmental Science › Ecology › Marine animal studies overview
Keywords
acoustic indices, ecoacoustics, passive acoustic monitoring, soundscape analysis, research design, biodiversity monitoring, conservation, bioacoustics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-10-06, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-06 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review