A primer of acoustic analysis for landscape ecologists

Abstract

In this paper we present an introduction to the physical characteristics of sound, basic recording principles as well as several ways to analyze digital sound files using spectrogram analysis. This paper is designed to be a “primer” which we hope will encourage landscape ecologists to study soundscapes. This primer uses data from a long-term study that are analyzed using common software tools. The paper presents these analyses as exercises. Spectrogram analyses are presented here introducing indices familiar to ecologists (e.g., Shannon’s diversity, evenness, dominance) and GIS experts (patch analysis). A supplemental online tutorial provides detailed instructions with step by step directions for these exercises. We discuss specific terms when working with digital sound analysis, comment on the state of the art in acoustic analysis and present recommendations for future research.

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References

  1. Acevedo MA, Corrada-Bravo CJ, Corrada-Bravo H, Villanueva-Rivera LJ, Aide TM (2009) Automated classification of bird and amphibian calls using machine learning: a comparison of methods. Ecol Inform 4:206–214

    Article  Google Scholar 

  2. Audacity Development Team (2010) Audacity. http://audacity.sourceforge.net

  3. Bradbury JW, Vehrencamp SL (1998) Principles of animal communication. Sinauer Associates Inc, Sunderland

    Google Scholar 

  4. Brandes TS (2005) Acoustic monitoring protocol. Conservation International, Washington, DC. Tropical Ecology Assessment and Monitoring (TEAM) initiative set of biodiversity monitoring protocols. http://www.teamnetwork.org (navigate to “Protocols”)

  5. Charif RA, Ponirakis DW, Krein TP (2006) Raven Lite 1.0 user’s guide. Cornell Laboratory of Ornithology, Ithaca

  6. ESRI (2010) ArcGIS 10.0. ESRI, Redlands

    Google Scholar 

  7. Everest FA, Pholmann KC (2009) Master handbook of acoustics, 5th edn. McGraw-Hill Companies Inc, New York

    Google Scholar 

  8. Farina A (2006) Principles and methods in landscape ecology. Springer, Dordrecht

    Google Scholar 

  9. Farina A, Lattanzi E, Malasi R, Pieretti N, Piccioli L (2011) Avian soundscapes and cognitive landscapes: theory, application and ecological perspectives. Landscape Ecol. doi:10.1007/s10980-011-9617-z

  10. Fletcher N (2007) Animal bioacoustics: chapter 17. In: Rossing TD (ed) Springer handbook of acoustics. Springer, New York

    Google Scholar 

  11. Francis CD, Paritsis J, Ortega CP, Cruz A (2011) Landscape patterns of avian habitat use and nesting success resulting from chronic gas well compressor noise in NW New Mexico, USA. Landscape Ecol. doi:10.1007/s10980-011-9609-z

  12. Gerhardt HC, Huber F (2002) Acoustic communication in insects and anurans. Chicago University Press, Chicago

    Google Scholar 

  13. Greenfield MD (1994) Cooperation and conflict in the evolution of signal interactions. Annu Rev Ecol Syst 25:97–126

    Article  Google Scholar 

  14. Hartmann WM (1997) Signals, sound and sensation. AIP series in modern acoustics and signal processing. Springer, New York

    Google Scholar 

  15. Henry KS, Lucas JR (2010) Auditory sensitivity and the frequency selectivity of auditory filters in the Carolina chickadee Poecile carolinensis. Anim Behav 80(3):497–507

    Article  Google Scholar 

  16. Hopp SL, Owren MJ, Evans CS (1998) Animal acoustic communication: sound analysis and research methods. Springer-Verlag, New York, p 421

    Google Scholar 

  17. Kasten EP, McKinley PK, Gage SH (2010) Ensemble extraction for classification and detection of bird species. Ecol Inform 5(3):153–166

    Article  Google Scholar 

  18. Keller GB, Hahnloser RHR (2009) Neural processing of auditory feedback during vocal practice in a songbird. Nature 457(8):187–191

    PubMed  Article  CAS  Google Scholar 

  19. Krause B (2002) Wild soundscapes: discovering the voice of the natural world. Wilderness Press, Berkeley, p 208

    Google Scholar 

  20. Kroodsma DE (2005) The singing life of birds. Houghton Mifflin Company, Boston

    Google Scholar 

  21. Ligges U (2009) TuneR: analysis of music. http://r-forge.r-project.org/projects/tuner/

  22. Marler PR, Slabbekoorn H (2004) Nature’s music: the science of birdsong. Academic Press, San Diego

    Google Scholar 

  23. Marten K, Marler P (1977) Sound transmission and its significance for animal vocalization: I. Temperate habitats. Behav Ecol Sociobiol 2:271–290

    Article  Google Scholar 

  24. Marten K, Quine D, Marler P (1977) Sound transmission and its significance for animal vocalization: II. Tropical forest habitats. Behav Ecol Sociobiol 2:291–302

    Article  Google Scholar 

  25. Pijanowski BC, Villanueva-Rivera LJ, Dumyahn S, Farina A, Krause B, Napoletano BM, Gage SH, Pieretti N (2011a) Soundscape ecology: the science of sound in the landscape. Bioscience 61:203–216

    Article  Google Scholar 

  26. Pijanowski BC, Farina A, Krause B, Dumyahn S, Gage SH (2011b) What is soundscape ecology? Landscape Ecol. doi:10.1007/s10980-011-9600-8

  27. Qi J, Gage SH, Joo W, Napoletano BN, Biswas S (2008) Soundscape characteristics of an environment: a new ecological indicator of ecosystem health. In: Ji W (ed) Wetland and water resource modeling and assessment. CRC Press, New York, pp 201–211

    Google Scholar 

  28. Ryan MJ (2001) Anuran communication. Smithsonian Institution Press, Washington DC

    Google Scholar 

  29. Sueur J, Aubin T, Simonis C (2008a) Seewave: a free modular tool for sound analysis and synthesis. Bioacoustics 18:213–226

    Google Scholar 

  30. Sueur J, Pavoine S, Hamerlynck O, Duvail S (2008b) Rapid acoustic survey for biodiversity appraisal. PLoS One 3:e4065

    PubMed  Article  Google Scholar 

  31. Truax B (1999) Handbook for acoustic ecology. Cambridge Street Publishing, Canada

    Google Scholar 

  32. Truax B (2001) Acoustic communication. Praeger, New York

    Google Scholar 

  33. Turner MG, Gardner RH, O’Neill RV (2001) Landscape ecology in theory and practice: pattern and process. Springer Press, New York

    Google Scholar 

  34. Wickham H (2009) ggplot2: Elegant Graphics for Data Analysis. Springer, New York

  35. Zeileis A (2009) Ineq: measuring inequality, concentration, and poverty. http://CRAN.R-project.org/package=ineq

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Acknowledgments

Development of acoustic metrics for the Tippecanoe Soundscape Study was made possible from a National Science Foundation III-XT grant to BCP. Funding for sensors used in the Tippecanoe Soundscape Study was obtained by a grant from the Lilly Foundation to Purdue. Funding to support JD came from the Department of Forestry and Natural Resources. The authors greatly acknowledge the input on an earlier version of this manuscript by Brian Napoletano. Jim Plourde assisted in data collection for the Tippecanoe Soundscape Study.

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Correspondence to Luis J. Villanueva-Rivera.

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Villanueva-Rivera, L.J., Pijanowski, B.C., Doucette, J. et al. A primer of acoustic analysis for landscape ecologists. Landscape Ecol 26, 1233 (2011). https://doi.org/10.1007/s10980-011-9636-9

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Keywords

  • Soundscapes
  • Acoustic analysis
  • Spectrograms
  • Entropy
  • Evenness
  • Sound patches