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Eco-Acoustic Indices to Evaluate Soundscape Degradation Due to Human Intrusion

Author

Listed:
  • Roberto Benocci

    (Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Piazza Della Scienza 1, 20126 Milano, Italy)

  • Giovanni Brambilla

    (CNR-INM Department of Acoustics and Sensors “O.M. Corbino”, via del Fosso del Cavaliere 100, 00133 Rome, Italy)

  • Alessandro Bisceglie

    (Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Piazza Della Scienza 1, 20126 Milano, Italy)

  • Giovanni Zambon

    (Department of Earth and Environmental Sciences (DISAT), University of Milano-Bicocca, Piazza Della Scienza 1, 20126 Milano, Italy)

Abstract

The characterization of environmental quality and the detection of the first sign of environmental stress, with reference to human intrusion, is currently a very important goal to prevent further environmental degradation, and consequently habitat destruction, in order to take appropriate preservation measures. Besides the traditional field observation and satellite remote sensing, geophonic and/or biophonic sounds have been proposed as potential indicators of terrestrial and aquatic settings’ status. In this work, we analyze a series of short audio-recordings taken in urban parks and bushes characterized by the presence of different human-generated-noise and species abundance. This study aims to propose a tool devoted to the investigation of urban and natural environments in a context with different soundscape qualities, such as, for example, those that can be found in urban parks. The analysis shows the ways in which it is possible to distinguish among different habitats by the use of a combination of different acoustic and sound ecology indices.

Suggested Citation

  • Roberto Benocci & Giovanni Brambilla & Alessandro Bisceglie & Giovanni Zambon, 2020. "Eco-Acoustic Indices to Evaluate Soundscape Degradation Due to Human Intrusion," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10455-:d:462104
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    References listed on IDEAS

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    1. J. A. Hartigan & M. A. Wong, 1979. "A K‐Means Clustering Algorithm," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(1), pages 100-108, March.
    2. Brock, Guy & Pihur, Vasyl & Datta, Susmita & Datta, Somnath, 2008. "clValid: An R Package for Cluster Validation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i04).
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    1. Roberto Benocci & H. Eduardo Roman & Alessandro Bisceglie & Fabio Angelini & Giovanni Brambilla & Giovanni Zambon, 2021. "Eco-Acoustic Assessment of an Urban Park by Statistical Analysis," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
    2. Lisu Chen & Qiong Wei & Qiang Fu & Daolun Feng, 2021. "Spatiotemporal Evolution Analysis of Habitat Quality under High-Speed Urbanization: A Case Study of Urban Core Area of China Lin-Gang Free Trade Zone (2002–2019)," Land, MDPI, vol. 10(2), pages 1-21, February.

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