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Assessment of ecosystem biodiversity by acoustic diversity indices
Abstract
Assessment of ecosystem biodiversity by measurement of acoustic diversity was explored [B. L. Krause, Explorers J., Winter, 156–160 (1993)]. Specific acoustic indices (e.g., based on frequency spectrum) were developed and correlated with standard diversity indices (e.g., standard species abundance indices). Necessary technological infrastructures and analytic processes to measure acoustic dynamics of ecological biodiversity were explored. An automated web-based infrastructure capable of capturing, processing, and relaying real-time field measurements from multiple ecosystems to desktop and home computers was developed, tested, and implemented. Key infrastructure components were remote field instrumentation, remote computer processing, wireless digital relay instrumentation, Internet server, and automation, relational database, and website software. A dynamic digital library of ecological acoustic samples, correlated ecosystem attributes, and acoustic analysis methodologies was established. Library resources, including digital sound files captured from ecosystems, were made available to researchers and the public over the Internet [N. Metzger and M. Blumenthal, Realizing Info. Future, NAP, 113–119 (1994)]. Indices of acoustic ecosystem diversity were refined through application on existing digital ecosystem sound recordings and digital sounds captured from multiple ecosystems. The performance of these indices was compared to standard biodiversity indices applied to the same ecosystems.
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“Together, these indices are increasingly used as quick, cost-effective barometers of ecosystem state, now deployed everywhere from single-species surveys to continent-wide biodiversity monitoring”
From Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation (2026) · cites this paper as Gage et al. 2001
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A Collection of Best Practices for the Collection and Analysis of Bioacoustic Data
Oswald, J. N., Van Cise, A. M., Dassow, A., Elliott, T., Johnson, M. T., Ravignani, A., & Podos, J. (2022) · Applied Sciences · doi:10.3390/app122312046 · Cited by 25
Listening forward: emerging roles of bioacoustics in ecology, evolution, and conservation
Zsebők, S. (2026) · Biologia Futura · doi:10.1007/s42977-026-00322-5
“Together, these indices are increasingly used as quick, cost-effective barometers of ecosystem state, now deployed everywhere from single-species surveys to continent-wide biodiversity monitoring (Bradfer-Lawrence et al. 2023; Gage et al. 2001).”
Metadata
- Authors
- Gage, S. H., Napoletano, B. M., & Cooper, M. C.
- Affiliations
- Michigan State University (US)
- Ferris State University (US)
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2001-05-01
- Volume
- 109
- Issue
- 5_Supplement
- Pages
- 2430-2430
- ISSN
- 0001-4966 (ISSN-L)
- 1520-8524
- OpenAlex
- W2051107268
- Cited by
- 57
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 7 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 7 · 2019: 3 · 2018: 4 · 2017: 4 · 2016: 3 · 2015: 2 · 2014: 5 · 2013: 1 · 2012: 2
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- The Journal of the Acoustical Society of America (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Vocal Communication and Behavior
- Physical Sciences › Computer Science › Signal Processing › Music and Audio Processing
- Keywords
- ecosystem biodiversity, bioacoustics, frequency spectrum analysis, web-based data acquisition, biodiversity assessment
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