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Biases of acoustic indices measuring biodiversity in urban areas

Fairbrass, AJ; Rennett, P; Williams, C; Titheridge, H; Jones, KE; (2017) Biases of acoustic indices measuring biodiversity in urban areas. Ecological Indicators , 83 pp. 169-177. 10.1016/j.ecolind.2017.07.064. Green open access

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Abstract

Urban green infrastructure, GI (e.g., parks, gardens, green roofs) are potentially important biodiversity habitats, however their full ecological capacity is poorly understood, in part due to the difficulties of monitoring urban wildlife populations. Ecoacoustic surveying is a useful way of monitoring habitats, where acoustic indices (AIs) are used to measure biodiversity by summarising the activity or diversity of biotic sounds. However, the biases introduced to AIs in acoustically complex urban habitats dominated by anthropogenic noise are not well understood. Here we measure the level of activity and diversity of the low (0-12 kHz, l) and high (12-96 kHz, h) frequency biotic, anthropogenic, and geophonic components of 2452 hours of acoustic recordings from 15 sites across Greater London, UK from June to October 2013 based on acoustic and visual analysis of recordings. We used mixed-effects models to compare these measures to those from four commonly used AIs: Acoustic Complexity Index (ACI), Acoustic Diversity Index (ADI), Bioacoustic Index (BI), and Normalised Difference Soundscape Index (NDSI). We found that three AIs (ACIl, BIl, NDSIl) were significantly positively correlated with our measures of bioticl activity and diversity. However, all three were also correlated with anthropogenicl activity, and BIl and NDSIl were correlated with anthropogenicl diversity. All low frequency AIs were correlated with the presence of geophonicl sound. Regarding the high frequency recordings, only one AI (ACIh) was positively correlated with measured biotich activity, but was also positively correlated with anthropogenich activity, and no index was correlated with biotich diversity. The AIs tested here are therefore not suitable for monitoring biodiversity acoustically in anthropogenically dominated habitats without the prior removal of biasing sounds from recordings. However, with further methodological research to overcome some of the limitations identified here, ecoacoustics has enormous potential to facilitate urban biodiversity and ecosystem monitoring at the scales necessary to manage cities in the future.

Type: Article
Title: Biases of acoustic indices measuring biodiversity in urban areas
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ecolind.2017.07.064
Publisher version: https://doi.org/10.1016/j.ecolind.2017.07.064
Language: English
Additional information: Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
Keywords: anthropogenic, ecoacoustics, green infrastructure, mixed-effects model, soundscapes, urban
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: http://discovery.ucl.ac.uk/id/eprint/1567990
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