Noise impact

Species have different hearing capabilities; therefore, different species are sensitives to different noise frequencies[1] [2]. Modeling behavioral changes, such as changes in spatial distribution of acoustically-sensitive species in response to anthropogenic noise is particularly challenging due to the need for species-specific responses to defined noise frequencies layer(s) in an Ecospace model.

The importance of quantitative measures of noise frequencies produced in order to assess their impacts on sensitive species has been suggested[3] [4] [5]. Baleen whales, for example, are sensitive to low-frequency (10-500 Hz) noise, and are therefore considered most at-risk from shipping noise[6] and other low-frequency noise devices such as marine wind and tidal turbines[7](Kikuchi, 2010). A recent study demonstrated that seals also responded to low frequency noise from ships by changing their diving behavior[8]. Some high-frequency components (up to 160 kHz) of shipping noise can have substantial effects on higher-frequency sensitive cetaceans including harbour porpoises[9] [10] [11]. In a recent study, harbour porpoises showed high sensitivity to acoustic deterrent devices (ADDs), originally designed to protect fish-farming cages from seals with potential habitat exclusion in coastal areas due to ADD noise[12].

Because of the lack of information needed to create species response curves to defined noise frequencies, in Ecospace, the level of impact of noise was inferred by distance from the noise source[13] [14], which were either static, e.g. wind and tidal turbines[15] [16][17] or dynamic, e.g. shipping[18] [19]. Porpoises might cease their feeding behavior at distances from 1 km[20] up to 7 km at which they no longer are seen to be affected[21]. In Serpetti et al.[22], sigmoid functions were used to build the response functions within the avoidance distances up to distances at which marine mammal species no longer are seen to be affected (Figure 1). The spatial modeling output revealed the species dislocation from the noise source (Figure 2). The map for harbour seals showed a trade-off between attraction and avoidance at different distances.

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Figure 1 – Response functions of harbour porpoise and harbour seals[23].

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Figure 2 – The species dislocation from the noise source for harbour porpoises and harbour seals[24].

The Ecospace modeling approach has shown high sensitivity to the impact of noise assessed by ecological responses to distances from noise sources[25] [26], however these studies also highlighted the necessity of improving our knowledge of species-specific response functions to noise, as well as long-term impacts of constant noise sources and potential species’ capability of acclimation and habituation to background noise[27] [28] [29].

Attribution

The chapter is based on de Mutsert et al.[30], adapted with permission, License Number 5651431253138. Rather than citing this chapter, please cite the source.


  1. NOAA Fisheries, 2018. 2018 Revisions to: Technical Guidance for Assessing the Effects of Anthropogenic Sound on Marine Mammal Hearing (Version 2.0) NOAA 178.
  2. Thomsen, F., Mendes, S., Bertucci, F., Breitzke, M., Ciappi, E., Cresci, A., Debusschere, E., Ducatel, C., Folegot, T., Juretzek, C., Frans-Peter Lam, O’Brien, J., Santos, M.E.D., 2021. Addressing underwater noise in Europe: Current state of knowledge and future priorities. Zenodo. https://doi.org/10.5281/ZENODO.5534224
  3. Risch, D., van Geel, N., Gillespie, D., Wilson, B., 2020. Characterisation of underwater operational sound of a tidal stream turbine. The Journal of the Acoustical Society of America 147, 2547–2555. https://doi.org/10.1121/10.0001124
  4. Tougaard, J., Hermannsen, L., Madsen, P.T., 2020. How loud is the underwater noise from operating offshore wind turbines? The Journal of the Acoustical Society of America 148, 2885–2893. https://doi.org/10.1121/10.0002453
  5. Stöber, U., Thomsen, F., 2021. How could operational underwater sound from future offshore wind turbines impact marine life? The Journal of the Acoustical Society of America 149, 1791–1795. https://doi.org/10.1121/10.0003760
  6. Hermannsen, L., Beedholm, K., Tougaard, J., Madsen, P.T., 2014. High frequency components of ship noise in shallow water with a discussion of implications for harbour porpoises (Phocoena phocoena). The Journal of the Acoustical Society of America 136, 1640–1653. https://doi.org/10.1121/1.4893908
  7. Kikuchi, R., 2010. Risk formulation for the sonic effects of offshore wind farms on fish in the EU region. Marine Pollution Bulletin 60, 172–177. https://doi.org/10.1016/j.marpolbul.2009.09.023
  8. Mikkelsen, L., Johnson, M., Wisniewska, D.M., van Neer, A., Siebert, U., Madsen, P.T., Teilmann, J., 2019. Long-term sound and movement recording tags to study natural behavior and reaction to ship noise of seals. Ecology and Evolution 9, 2588–2601. https://doi.org/10.1002/ece3.4923
  9. Hermannsen et al. 2014. op. cit.
  10. Dyndo, M., Wiśniewska, D.M., Rojano-Doñate, L., Madsen, P.T., 2015. Harbour porpoises react to low levels of high frequency vessel noise. Sci Rep 5, 11083. https://doi.org/10.1038/srep11083
  11. Wisniewska, D.M., Johnson, M., Teilmann, J., Siebert, U., Galatius, A., Dietz, R., Madsen, P.T., 2018. High rates of vessel noise disrupt foraging in wild harbour porpoises (Phocoena phocoena). Proceedings of the Royal Society B: Biological Sciences 285, 20172314. https://doi.org/10.1098/rspb.2017.2314
  12. Harvey, B.J., 2018. Exploring impacts of noise from shipping and acoustic deterrent devices on cetaceans on the west coast of Scotland using an ecosystem modelling approach. Ecosystem-Based Management of Marine Systems. M.Sc. University of St. Andrews, St. Andrews, UK.
  13. Harvey, 2018. op. cit.
  14. Serpetti et al. 2021. Modeling Small Scale Impacts of Multi-Purpose Platforms: An Ecosystem Approach. Front. Mar. Sci., Volume 8. https://doi.org/10.3389/fmars.2021.694013.
  15. Hastie, G.D., Russell, D.J.F., Lepper, P., Elliott, J., Wilson, B., Benjamins, S., Thompson, D., 2018. Harbour seals avoid tidal turbine noise: Implications for collision risk. Journal of Applied Ecology 55, 684–693. https://doi.org/10.1111/1365-2664.12981
  16. Tougaard et al., 2020. op. cit.
  17. Stöber and Thomsen, 2021. op. cit.
  18. Dyndo et al. 2015. op. cit.
  19. Wisniewska et al., 2018. op. cit.
  20. Dyndo et al. 2015. op. cit.
  21. Wisniewska et al., 2018. op. cit.
  22. Serpetti et al. 2021. op. cit.
  23. Reproduced from Serpetti et al. 2021. op. cit.
  24. Reproduced from Serpetti et al. 2021. op. cit.
  25. Harvey, 2018. op. cit.
  26. Serpetti et al. 2021. op. cit.
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  28. Northridge, S.P., Gordon, J.G., Booth, C., Calderan, S., 2010. Assessment of the impacts and utility of acoustic deterrent devices (Final Report No. SARF044). The Scottish Aquaculture Research Forum.
  29. Mikkelsen et al., 2019. op. cit.
  30. De Mutsert K, Marta Coll, Jeroen Steenbeek, Cameron Ainsworth, Joe Buszowski, David Chagaris, Villy Christensen, Sheila J.J. Heymans, Kristy A. Lewis, Simone Libralato, Greig Oldford, Chiara Piroddi, Giovanni Romagnoni, Natalia Serpetti, Michael Spence, Carl Walters. 2023. Advances in spatial-temporal coastal and marine ecosystem modeling using Ecopath with Ecosim and Ecospace. Treatise on Estuarine and Coastal Science, 2nd Edition. Elsevier. https://doi.org/10.1016/B978-0-323-90798-9.00035-4

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