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The quantitative relation between ambient soundscapes and landscape development intensity in North Central Florida

  • Jenet M. DooleyEmail author
  • Mark T. Brown
Research Article
  • 25 Downloads

Abstract

Context

It is widely accepted that wildlife is subjected to detrimental human noise within urban landscapes but little is known about how the intensity of land use changes soundscapes.

Objectives

The objective of this research was to produce quantitative associations between characteristics of ambient soundscapes and land use intensity. These relations were used to examine the 2 kHz demarcation between anthrophony and biophony and compare the impact of different sized contributing areas on ambient soundscape characteristics.

Methods

This study related the surrounding land use intensity of 67 sites in north central Florida (USA) to several metrics describing their recorded soundscapes. Land use intensity was measured remotely at three scales using the landscape development intensity index (LDI).

Results

The analysis revealed that the LDI index had a statistically significant effect on soundscape characteristics after controlling for important factors such as climate, season, and attenuation due to hard ground. The trends between LDI and soundscape confirmed that human generated sounds are loud, continuous, and occupy low frequencies. The evenness of the sound distribution decreased with landscape intensity and LDI correlated significantly with sound below 3 kHz. Land use intensity within a 100 and 500-m radius contributing area were most closely related to soundscape metrics.

Conclusions

LDI is a tool with the potential to predict the extent and intensity of anthropogenic noise disturbance on wildlife from remote sensing data. The utility of this tool allows for widespread application to identify and mitigate conflicts in the acoustic realm between human noise and wildlife.

Keywords

Development intensity Soundscape Noise disturbance Biophony Anthrophony Technophony LDI index Power spectral density Remote sensing Ambient sound 

Notes

Acknowledgements

The authors thank Gary Siebein, Peter Frederick, Barron Henderson, Erica Hernandez, and the anonymous reviewers for their helpful comments and suggestions. This research project received support from the HT Odum Center for Wetlands.

Supplementary material

10980_2019_936_MOESM1_ESM.xlsx (23 kb)
Supplementary material 1 (XLSX 23 kb)

References

  1. Barber JR, Crooks KR, Fristrup KM (2010) The costs of chronic noise exposure for terrestrial organisms. Trends Ecol Evol 25(3):180–189PubMedCrossRefPubMedCentralGoogle Scholar
  2. Bayne EM, Habib L, Boutin S (2008) Impacts of chronic anthropogenic noise from energy-sector activity on abundance of songbirds in the boreal forest. Conserv Biol 22(5):1186–1193PubMedCrossRefPubMedCentralGoogle Scholar
  3. Bee M, Swanson EM (2007) Auditory masking of anuran advertisement calls by road traffic noise. Anim Behav 74(6):1765–1776CrossRefGoogle Scholar
  4. Bioacoustics Research Program (2011) Raven Pro: Interactive Sound Analysis Software (Version 14) [Computer software]. The Cornell Lab of Ornithology, IthicaGoogle Scholar
  5. Bouchard M (2009) Wetland resources of Eastern South Dakota; drainage patterns, assessment techniques, and predicting future risks. South Dakota State University, South DakotaGoogle Scholar
  6. Brown MT, Vivas MB (2005) Landscape development intensity index. Environ Monit Assess 101(1–3):289–309PubMedCrossRefPubMedCentralGoogle Scholar
  7. Brumm H, Slabbekoorn H (2005) Acoustic communication in noise. Adv Stud Behav 35:151–209CrossRefGoogle Scholar
  8. Brunni A, Daniel JM, Foote JR (2014) Dawn chorus start time variation in a temperate bird community: relationships with seasonality, weather, and ambient light. J Ornithol 155(4):877–890CrossRefGoogle Scholar
  9. Can A, Leclercq L, Lelong J, Botteldooren D (2010) Traffic noise spectrum analysis: dynamic modeling vs experimental observations. Appl Acoust 71(8):764–770CrossRefGoogle Scholar
  10. Charif RA, Waack AM, Strickman LM (2010) Raven pro 1.4 user’s manual. The Cornell Lab of Ornithology, IthicaGoogle Scholar
  11. Chen TS, Lin HJ (2011) Application of a landscape development intensity index for assessing wetlands in Taiwan. Wetlands 31(4):745–756CrossRefGoogle Scholar
  12. Depraetere M, Pavoine S, Jiguet F, Gasc A, Duvail S, Sueur J (2012) Monitoring animal diversity using acoustic indices: implementation in a temperate woodland. Ecol Ind 13(1):46–54CrossRefGoogle Scholar
  13. Dooling RJ, Popper A (2007) The effects of highway noise on birds. Environmental BioAcoustics LLC, RockvilleGoogle Scholar
  14. ESRI (2014) ArcGIS desktop: release 10.3. Environmental Systems Research Institute, RedlandsGoogle Scholar
  15. Farina A, Pieretti N (2014) Sonic environment and vegetation structure: a methodological approach for a soundscape analysis of a Mediterranean maqui. Ecol Inform 21:120–132CrossRefGoogle Scholar
  16. FGDL Metadata Explorer (2015) University of Florida GeoPlan Center, GainesvilleGoogle Scholar
  17. Fonseca PJ, Revez MA (2002) Temperature dependence of cicada songs (Homoptera, Cicadoidea). J Comp Physiol 187:971–976CrossRefGoogle Scholar
  18. Fore LS (2004) Development and testing of biomonitoring tools for macroinvertebrates in Florida streams. Statistical Design, Seattle, Washington. A report for the Florida Department of Environmental Protection, Tallahassee, p 62Google Scholar
  19. Fore LS (2005) Assessing the biological condition of Florida lakes: development of the lake vegetation index (LDV). Statistical Design, Seattle, Washington. A report for the Florida Department of Environmental Protection, Tallahassee, p 29 & AppendixesGoogle Scholar
  20. Forman RTT, Sperling D, Bissonette JA, Clevenger AP, Cutshall CD, Dale VH, Fahrig L, France R, Goldman CR, Heanue K, Jones JA, Swanson FJ, Turrentine T, Winter TC (2003) Road ecology: science and solutions. Island Press, WashingtonGoogle Scholar
  21. Fuller S, Axel AC, Tucker D, Gage SH (2015) Connecting soundscape to landscape: which acoustic index best describes landscape configuration? Ecol Ind 58:207–215CrossRefGoogle Scholar
  22. Gage SH, Axel AC (2014) Visualization of temporal change in soundscape power of a Michigan lake habitat over a 4-year period. Ecol Inform 21:100–109CrossRefGoogle Scholar
  23. Habib L, Bayne EM, Boutin S (2007) Chronic industrial noise affects pairing success and age structure of ovenbirds Seiurus aurocapilla. J Appl Ecol 44(1):176–184CrossRefGoogle Scholar
  24. ISO (1993) Acoustics—Attenuation of sound during propagation outdoors—part 1: calculation of the absorption of sound by the atmosphere (Standard No. 9613-1). International Organization for Standardization, GenevaGoogle Scholar
  25. ISO (1996) Acoustics—Attenuation of sound during propagation outdoors—part 2: general method of calculation (Standard No. 9613-2). International Organization for Standardization, GenevaGoogle Scholar
  26. Joo W (2009) Environmental acoustics as an ecological variable to understand the dynamics of ecosystems. Dissertation. Michigan State UniversityGoogle Scholar
  27. Joo W, Gage SH, Kasten EP (2011) Analysis and interpretation of variability in soundscapes along an urban–rural gradient. Landsc Urban Plan 103(3–4):259–276CrossRefGoogle Scholar
  28. Kasten EP, Gage SH, Fox J, Joo W (2012) The remote environmental assessment laboratory’s acoustic library: an archive for studying soundscape ecology. Ecol Inform 12:50–67CrossRefGoogle Scholar
  29. Kociolek AV, Clevenger AP, St Clair CC, Proppe DS (2011) Effects of road networks on bird populations. Conserv Biol 25(2):241–249PubMedPubMedCentralGoogle Scholar
  30. Krause BL, Gage SH, Joo W (2011) Measuring and interpreting the temporal variability in the soundscape at four places in Sequoia National Park. Landsc Ecol 26(9):1247–1256CrossRefGoogle Scholar
  31. Laiolo P (2010) The emerging significance of bioacoustics in animal species conservation. Biol Conserv 143(7):1635–1645CrossRefGoogle Scholar
  32. Lane CR, Brown MT (2007) Diatoms as indicators of wetland condition. Ecol Ind 7:521–540CrossRefGoogle Scholar
  33. Mack JJ (2006) Landscape as a predictor of wetland condition: an evaluation of the Landscape Development Index (LDI) with a large reference wetland dataset from Ohio. Environ Monit Assess 120:221–241PubMedCrossRefPubMedCentralGoogle Scholar
  34. Makarewicz R, Sato Y (1996) Representative spectrum of road traffic noise. J Acoust Soc Jpn 5:249–254CrossRefGoogle Scholar
  35. Margriter SC, Bruland GL, Kudray GM, Lepczyk CA (2014) Using indicators of land-use development intensity to assess the condition of coastal wetlands in Hawaii. Landsc Ecol 29(3):517–528CrossRefGoogle Scholar
  36. Marler P (1955) Characteristics of some animal calls. Nature 176:6–8CrossRefGoogle Scholar
  37. Matsinos YG, Mazaris AD, Papadimitriou KD, Mniestris A, Hatzigiannidis G, Maioglou D, Pantis JD (2008) Spatio-temporal variability in human and natural sounds in a rural landscape. Landsc Ecol 23:945–959Google Scholar
  38. Mazaris AD, Kallimanis AS, Chatzigianidis G, Papadimitriou K, Pantis JD (2009) Spatiotemporal analysis of an acoustic environment: interactions between landscape features and sounds. Landsc Ecol 24(6):817–831CrossRefGoogle Scholar
  39. Mennitt DJ, Fristrup KM (2016) Influential factors and spatiotemporal patterns of environmental sound levels in the contiguous United States. Noise Control Eng 64(3):342–353CrossRefGoogle Scholar
  40. Mitsch WJ, Gosselink JG (2007) Wetlands, 4th edn. Wiley, HobokenGoogle Scholar
  41. Napoletano BM (2004) Measurement, quantification and interpretation of acoustic signals within an ecological context. Dissertation. Michigan State UniversityGoogle Scholar
  42. Nega T, Yaffe N, Stewart N, Fu WH (2013) The impact of road traffic noise on urban protected areas: a landscape modeling approach. Trans Res Part D 23:98–104CrossRefGoogle Scholar
  43. Odum HT (1996) Environmental accounting: emergy and environmental decision making. Wiley, New YorkGoogle Scholar
  44. Oliver L, Lehrter J, Fisher W (2011) Relating landscape development intensity to coral reef condition in the watersheds of St. Croix, US Virgin Islands. Mar Ecol Prog Ser 427:293–302CrossRefGoogle Scholar
  45. Pieretti N, Farina A (2013) Application of a recently introduced index for acoustic complexity to an avian soundscape with traffic noise. J Acoust Soc Am 134(1):891–900PubMedCrossRefPubMedCentralGoogle Scholar
  46. Pijanowski BC, Farina A, Gage SH, Dumyahn SL, Krause BL (2011a) What is soundscape ecology? An introduction and overview of an emerging new science. Landsc Ecol 26:1213–1232CrossRefGoogle Scholar
  47. Pijanowski BC, Villanueva-Rivera LJ, Dumyahn SL, Farina A, Krause BL, Napoletano BM, Pieretti N (2011b) Soundscape ecology: the science of sound in the landscape. Bioscience 61(3):203–216CrossRefGoogle Scholar
  48. Qi J, Gage SH, Joo W, Napoletano BM, Biswas S (2008) Soundscape characteristics of an environment: a new ecological indicator of ecosystem Health. Wetland and water resource modeling and assessment: a watershed perspective. CRC Press, Taylor and Francis Group, pp 201–214Google Scholar
  49. Reiss KC, Brown MT, Lane CR (2010) Characteristic community structure of Florida’s subtropical wetlands: the Florida wetland condition index for depressional marshes, depressional forested, and flowing water forested wetlands. Wetl Ecol Manag 18(5):543–556CrossRefGoogle Scholar
  50. Schafer MR (1977) The tuning of the world. Knopf, New YorkGoogle Scholar
  51. SJRWMD (2012) St. Johns River water supply impact study (Technical Publication SJ2012-1). St. Johns River Water Management District, PalatkaGoogle Scholar
  52. Slabbekoorn H, Ripmeester E (2008) Birdsong and anthropogenic noise: implications and applications for conservation. Mol Ecol 17(1):72–83PubMedCrossRefPubMedCentralGoogle Scholar
  53. Stacier CA, Spector DA, Horn AG (1996) The dawn chorus and other diel patterns in acoustic signaling. Ecology and evolution of acoustic communication in birds. Cornell University Press, pp 426–453Google Scholar
  54. StataCorp (2013) Stata statistical software: release 13. StataCorp LP, College StationGoogle Scholar
  55. Suer J, Sanborn AF (2003) Ambient temperature and sound power of cicada calling songs (Hemiptera: cicadidae: Tibicini). Physiol Entomol 28:340–343CrossRefGoogle Scholar
  56. Sueur J, Farina A, Gasc A, Pieretti N, Pavoine S (2014) Acoustic indices for biodiversity assessment and landscape investigation. Acta Acustica United with Acustica 100(4):772–781CrossRefGoogle Scholar
  57. Truax B (2001) Acoustic communication, 2nd edn. Ablex, WestportGoogle Scholar
  58. Tucker D, Gage SH, Williamson I, Fuller S (2014) Linking ecological condition and the soundscape in fragmented Australian forests. Landsc Ecol 29(4):745–758CrossRefGoogle Scholar
  59. Ware HE, McClure CJW, Carlisle JD, Barber JR (2015) A phantom road experiment reveals traffic noise is an invisible source of habitat degradation. Proc Natl Acad Sci USA 112(39):12105–12109PubMedCrossRefPubMedCentralGoogle Scholar
  60. Warren PS, Katti M, Ermann M, Brazel A (2006) Urban bioacoustics: it’s not just noise. Anim Behav 71(3):491–502CrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Engineering School of Sustainable Infrastructure and Environment, Howard T. Odum Center for WetlandsUniversity of FloridaGainesvilleUSA
  2. 2.Center for Environmental Policy, Environmental Engineering SciencesUniversity of FloridaGainesvilleUSA
  3. 3.Alberta Biodiversity Monitoring InstituteUniversity of AlbertaEdmontonCanada

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