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Effects of noise and by-catch on a Danish harbour porpoise population

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  • Nabe-Nielsen, Jacob
  • Sibly, Richard M.
  • Tougaard, Jakob
  • Teilmann, Jonas
  • Sveegaard, Signe

Abstract

Ships and wind turbines generate noise, which can have a negative impact on marine mammal populations by scaring animals away. Effective modelling of how this affects the populations has to take account of the location and timing of disturbances. Here we construct an individual-based model of harbour porpoises in the Inner Danish Waters. Individuals have their own energy budgets constructed using established principles of physiological ecology. Data are lacking on the spatial distribution of food which is instead inferred from knowledge of time-varying porpoise distributions. The model produces plausible patterns of population dynamics and matches well the age distribution of porpoises caught in by-catch. It estimates the effect of existing wind farms as a 10% reduction in population size when food recovers fast (after two days). Proposed new wind farms and ships do not result in further population declines. The population is however sensitive to variations in mortality resulting from by-catch and to the speed at which food recovers after being depleted. If food recovers slowly the effect of wind turbines becomes negligible, whereas ships are estimated to have a significant negative impact on the population. Annual by-catch rates ≥10% lead to monotonously decreasing populations and to extinction, and even the estimated by-catch rate from the adjacent area (approximately 4.1%) has a strong impact on the population. This suggests that conservation efforts should be more focused on reducing by-catch in commercial gillnet fisheries than on limiting the amount of anthropogenic noise. Individual-based models are unique in their ability to take account of the location and timing of disturbances and to show their likely effects on populations. The models also identify deficiencies in the existing database and can be used to set priorities for future field research.

Suggested Citation

  • Nabe-Nielsen, Jacob & Sibly, Richard M. & Tougaard, Jakob & Teilmann, Jonas & Sveegaard, Signe, 2014. "Effects of noise and by-catch on a Danish harbour porpoise population," Ecological Modelling, Elsevier, vol. 272(C), pages 242-251.
  • Handle: RePEc:eee:ecomod:v:272:y:2014:i:c:p:242-251
    DOI: 10.1016/j.ecolmodel.2013.09.025
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    References listed on IDEAS

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    1. Baveco, Johannes M. & Kuipers, Harold & Nolet, Bart A., 2011. "A large-scale multi-species spatial depletion model for overwintering waterfowl," Ecological Modelling, Elsevier, vol. 222(20), pages 3773-3784.
    2. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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    Cited by:

    1. Liu, W.Y., 2017. "A review on wind turbine noise mechanism and de-noising techniques," Renewable Energy, Elsevier, vol. 108(C), pages 311-320.
    2. Karin Sinclair & Andrea E. Copping & Roel May & Finlay Bennet & Marijke Warnas & Muriel Perron & Åsa Elmqvist & Elise DeGeorge, 2018. "Resolving environmental effects of wind energy," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(4), July.
    3. Watson, Joseph W & Boyd, Robin & Dutta, Ritabrata & Vasdekis, Georgios & Walker, Nicola D. & Roy, Shovonlal & Everitt, Richard & Hyder, Kieran & Sibly, Richard M, 2022. "Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass✰," Ecological Modelling, Elsevier, vol. 466(C).
    4. Cartwright, Samantha J. & Bowgen, Katharine M. & Collop, Catherine & Hyder, Kieran & Nabe-Nielsen, Jacob & Stafford, Richard & Stillman, Richard A. & Thorpe, Robert B. & Sibly, Richard M., 2016. "Communicating complex ecological models to non-scientist end users," Ecological Modelling, Elsevier, vol. 338(C), pages 51-59.
    5. Chudzińska, Magda & Ayllón, Daniel & Madsen, Jesper & Nabe-Nielsen, Jacob, 2016. "Discriminating between possible foraging decisions using pattern-oriented modelling: The case of pink-footed geese in Mid-Norway during their spring migration," Ecological Modelling, Elsevier, vol. 320(C), pages 299-315.
    6. Langhammer, Maria & Grimm, Volker, 2020. "Mitigating bioenergy-driven biodiversity decline: A modelling approach with the European brown hare," Ecological Modelling, Elsevier, vol. 416(C).
    7. Joy, Ruth & Schick, Robert S. & Dowd, Michael & Margolina, Tetyana & Joseph, John E. & Thomas, Len, 2022. "A fine-scale marine mammal movement model for assessing long-term aggregate noise exposure," Ecological Modelling, Elsevier, vol. 464(C).
    8. van der Vaart, Elske & Johnston, Alice S.A. & Sibly, Richard M., 2016. "Predicting how many animals will be where: How to build, calibrate and evaluate individual-based models," Ecological Modelling, Elsevier, vol. 326(C), pages 113-123.
    9. Le Lièvre, Célia, 2019. "Sustainably reconciling offshore renewable energy with Natura 2000 sites: An interim adaptive management framework," Energy Policy, Elsevier, vol. 129(C), pages 491-501.
    10. de Jager, Monique & Hengeveld, Geerten M. & Mooij, Wolf M. & Slooten, Elisabeth, 2019. "Modelling the spatial dynamics of Maui dolphins using individual-based models," Ecological Modelling, Elsevier, vol. 402(C), pages 59-65.

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