Log in

Behavioural responses of Sandwich terns following the construction of offshore wind farms

  • Original paper
  • Published:
Marine Biology Aims and scope Submit manuscript

Abstract

Offshore wind farms (OWFs) are a key part of efforts to mitigate the impacts of climate change. However, they have the potential to negatively impact seabird species through collisions with turbine blades, displacement from preferred foraging habitat and the perception of wind farms as a barrier to migrating or foraging birds. Whilst the data available to model these impacts are increasing, many data gaps remain, particularly in relation to the impacts of barrier effects. We analyse the movements of Sandwich terns in relation to an offshore wind farm cluster using data collected as part of a multi-year GPS tracking study. Over the course of the study, two additional wind farms were built within the home range of the breeding colony. The construction of these wind farms coincided with a change in the foraging and commuting areas used by breeding terns. Whilst birds entered OWFs when foraging, they appeared to avoid them when commuting, driving an apparent ‘funnelling’ effect to important feeding locations. We discuss if this could be driven by changes to the prey base, subsequent displacement and potentially altered routes reflecting new favourable airflow patterns following OWF construction. Our results suggest that behavioural responses of birds to OWFs may be the result of a complex series of ecological and environmental interactions, as opposed to simplistic assumptions around the perception of the OWF as a barrier to movement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Enquiries about data availability should be directed to the authors. All tracking data will be published and made available through the Crown Estate’s Marine Data Exchange (MDE) system after completion of the project.

References

  • Barthelmie RJ, Jensen LE (2010) Evaluation of wind farm efficiency and wind turbine wakes at the Nysted offshore wind farm. Wind Energy 13(6):573–586

    Article  ADS  Google Scholar 

  • Broadbent ID, Nixon CLB (2019) Refusal of planning consent for the Docking Shoal offshore wind farm: stakeholder perspectives and lessons learned. Mar Policy 110:103529

    Article  Google Scholar 

  • Brooks ME, Kristensen K, van Benthem KJ, Magnusson A, Berg CW, Nielsen A, Skaug HJ, Maechler M, Bolker BM (2017) glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J 9(2):378–400

    Article  Google Scholar 

  • Calenge C (2006) The package adehabitat for the R software: a tool for the analysis of space and habitat use by animals. Ecol Modell 197(3–4):516–519

    Article  Google Scholar 

  • Cook ASCP, Dadam D, Mitchell I, Ross-Smith VH, Robinson RA (2014) Indicators of seabird reproductive performance demonstrate the impact of commercial fisheries on seabird populations in the North Sea. Ecol Indic 38:1–11

    Article  Google Scholar 

  • Cook ASCP, Humphreys EM, Bennet F, Masden EA, Burton NHK (2018) Quantifying avian avoidance of offshore wind turbines: current evidence and key knowledge gaps. Mar Environ Res 140:278–288

    Article  CAS  PubMed  Google Scholar 

  • Croll DA, Ellis AA, Adams J, Cook ASCP, Garthe S, Goodale MW, Hall CS, Hazen E, Keitt BS, Kelsey EC, Leirness JB, Lyons DE, McKown MW, Potiek A, Searle KR, Soudijn FH, Rockwood RC, Tershy BR, Tinker M, VanderWerf EA, Williams KA, Young L, Zilliacus K (2022) Framework for assessing and mitigating the impacts of offshore wind energy development on marine birds. Biol Cons 276:109795. https://doi.org/10.1016/J.BIOCON.2022.109795

    Article  Google Scholar 

  • Dierschke V, Furness RW, Garthe S (2016) Seabirds and offshore wind farms in European waters: avoidance and attraction. Biol Conserv 202:59–68

    Article  Google Scholar 

  • ECON Ecological Consultancy Ltd (2018) Ornithological monitoring during the construction and operation of Sheringham Shoal Offshore Wind Farm: February 2009–February 2016 inclusive. Final Report. Norwich

  • Ellis JR, Milligan SP, Readdy L, Taylor N, Brown MJ (2012) Spawning and nursery grounds of selected fish species in UK waters. Science Series Technical Report 147, Cefas Lowestoft, P. 1–56

  • EMODnet (2018) European Marine Observation and Data Network, Human Activities Wind Farm polygons, Centro Tecnologico del Mar - Fundación (CETMAR), European Union.Version: Emodnet_HA_WindFarms_20180119. https://www.emodnet-humanactivities.eu/ Accessed 30 Sep 2019

  • Fijn RC, Collier MC (2022) Distribution and flight heights of Sandwich Terns Thalasseus sandvicensis during different behaviours near wind farms in the Netherlands. Bird Study 69(1–2):53–58

    Article  Google Scholar 

  • Fijn RC, Gyimesi A (2018) Behaviour related flight speeds of Sandwich Terns and their implications for wind farm collision rate modelling and impact assessment. Environ Impact Assess Rev 71:12–16

    Article  Google Scholar 

  • Fijn RC, de Jong J, Courtens W, Verstraete H, Stienen EWM, Poot MJM (2017) GPS-tracking and colony observations reveal variation in offshore habitat use and foraging ecology of breeding Sandwich Terns. J Sea Res 127:203–211

    Article  Google Scholar 

  • Fijn RC, Thaxter CB, Aarts G, Adema J, Middelveld RP, van Bemmelen RSA (2022) Relative effects of static and dynamic abiotic conditions on foraging behaviour in breeding sandwich terns. Mar Ecol Prog Ser 692:137–150

    Article  ADS  Google Scholar 

  • Furness RW, Tasker ML (2000) Seabird-fishery interactions: quantifying the sensitivity of seabirds to reductions in sandeel abundance, and identification of key areas for sensitive seabirds in the North Sea. Mar Ecol Prog Ser 202:253–264

    Article  ADS  Google Scholar 

  • Furness RW, Wade HM, Masden EA (2013) Assessing vulnerability of marine bird populations to offshore wind farms. J Environ Manag 119:56–66

    Article  Google Scholar 

  • Gibson L, Wilman EN, Laurance WF (2017) How green is ‘green’ energy? Trends Ecol Evol 32(12):922–935

    Article  PubMed  Google Scholar 

  • Hartig F (2022) DHARMa: residual diagnostics for hierarchical (multi-level/mixed) regression models. R package version 0.4.5

  • Hasager CB, Vincent P, Badger J, Badger M, Di Bella A, Peña A, Husson R, Volker PJH (2015) Using satellite SAR to characterize the wind flow around offshore wind farms. Energies 8(6):5413–5439

    Article  Google Scholar 

  • Heinänen S, Žydelis R, Kleinschmidt B, Dorsch M, Burger C, Morkūnas J, Quillfeldt P, Nehls G (2020) Satellite telemetry and digital aerial surveys show strong displacement of red-throated divers (Gavia stellata) from offshore wind farms. Mar Environ Res 160:104989

    Article  PubMed  Google Scholar 

  • International Energy Agency (2022) World Energy Outlook 2022. https://www.iea.org/reports/world-energy-outlook-2022 accessed 19 Oct 2023

  • Johnson DS, London JM (2018) crawl: an R package for fitting continuous-time correlated random walk models to animal movement data. Zenodo

  • Johnston A, Cook ASCP, Wright LJ, Humphreys EM, Burton NHK (2013) Modelling flight heights of marine birds to more accurately assess collision risk with offshore wind turbines. J Appl Ecol 51(1):31–41

    Article  Google Scholar 

  • Lenth RV (2022) ‘emmeans’: estimated marginal means, aka least-squares means. R package version 1.8.1-90001

  • Lindeboom HJ, Kouwenhoven HJ, Bergman MJN, Bouma S, Brasseur S, Daan R, Fijn RC, de Haan D, Dirksen S, van Hal R, Lambers RHR, ter Hoftede R, Krijgsveld KL, Leopold M, Scheidat M (2011) Short-term ecological effects of an offshore wind farm in the Dutch coastal zone; a compilation. Environ Res Lett 6:035101

    Article  ADS  Google Scholar 

  • Martin GR (2011) Understanding bird collisions with man-made objects: a sensory ecology approach. Ibis 153(2):239–254

    Article  Google Scholar 

  • Masden EA, Haydon DT, Fox AD, Furness RW, Bullman R, Desholm M (2009) Barriers to movement: impacts of wind farms on migrating birds. ICES J Mar Sci 66(4):746–753

    Article  Google Scholar 

  • Masden EA, Haydon DT, Fox AD, Furness RW (2010) Barriers to movement: modelling energetic costs of avoiding marine wind farms amongst breeding seabirds. Mar Pollut Bull 60(7):1085–1109

    Article  CAS  PubMed  Google Scholar 

  • Masden EA, McCluskie A, Owen E, Langston RHW (2015) Renewable energy developments in an uncertain world: the case of offshore wind and birds in the UK. Mar Policy 51:169–172

    Article  Google Scholar 

  • May RF (2015) A unifying framework for the underlying mechanisms of avian avoidance of wind turbines. Biol Conserv 190:179–187

    Article  Google Scholar 

  • McClintock BT, Michelot T (2018) momentuHMM: R package for generalized hidden Markov models of animal movement. Methods Eco Evol 9(6):1518–1530

    Article  Google Scholar 

  • McCollum DL, Zhou W, Bertram C, de Boer H-S, Bosetti V, Busch S, Després J, Drouet J, Emmerling J, Fay M, Fricko O, Fujimori S, Gidden M, Marmsen M, Huppmann D, Iyer G, Krey V, Kriegler E, Cicolas C, Pachauri S, Parkinson S, Poblete-Cazenave M, Rafaj P, Rao N, Rozenberg J, Schmitz A, Schoepp W, van Vuuren D, Riahi K (2018) Energy investment needs for fulfilling the Paris Agreement and achieving the Sustainable Development Goals. Nat Energy 3:589–599

    Article  ADS  Google Scholar 

  • Mendel B, Schwemmer P, Peschko V, Müller S, Schwemmer H, Mercker M, Garthe S (2019) Operational offshore wind farms and associated ship traffic cause profound changes in distribution patterns of Loons (Gavia spp.). J Environ Manag 231(1):429–438

    Article  Google Scholar 

  • Michelot T, Langrock R (2023) A short guide to choosing initial parameter values for the estimation in moveHMM https://cran.r-project.org/web/packages/moveHMM/vignettes/moveHMM-starting-values.pdf

  • Morten JM, Burgos JM, Collins L, Maxwell SM, Morin E-J, Parr N, Thurston W, Vigfúsdóttir F, Witt MJ, Hawkes LA (2022) Foraging behaviours of breeding arctic terns Sterna paradisaea and the impact of local weather and fisheries. Front Mar Sci. https://doi.org/10.3389/fmars.2021.760670

    Article  Google Scholar 

  • Pebesma E (2018) Simple features for R: standardized support for spatial vector data. R J 10(1):439–446

    Article  Google Scholar 

  • Pebesma EJ, Bivand RS (2005) Classes and methods for spatial data in R. R News 5(2), https://cran.r-project.org/doc/Rnews/

  • Perrow MR, Harwood JP, Berridge R, Skeate ER (2017) The foraging ecology of Sandwich Terns in north Norfolk. Br Birds 110:257–277

    Google Scholar 

  • Platis A, Siedersleben SK, Bange J, Lampert A, Bärfuss K, Hankers R, Cañadillas B, Foreman R, Schultz-Stellenfleth J, Djath B, Neumann T, Emeis S (2018) First in situ evidence of wakes in the far field behind offshore wind farms. Sci Rep 8:2163

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  • Plonczkier P, Simms IC (2012) Radar monitoring of migrating pink-footed geese: behavioural responses to offshore wind farm development. J Appl Ecol 49:1187–1194

    Article  Google Scholar 

  • R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria

  • Roberts L, Howard DR (2022) Substrate-borne vibrational noise in the Anthropocene: from land to sea. In: Hill PSM, Mazzoni V, Stritih-Peljhan N, Virant-Doberlet M, Wessel A (eds) Biotremology: physiology, ecology, and evolution. Animal signals and communication, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-030-97419-0_6

    Chapter  Google Scholar 

  • Seward A, Taylor RC, Perrow MR, Berridge RJ, Bowgen KM, Dodd S, Johnstone I, Bolton M (2021) Effect of GPS tagging on behaviour and marine distribution of breeding Arctic Terns Sterna paradisaea. Ibis 163(1):197–212

    Article  Google Scholar 

  • Shepard ELC, Ross AN, Portugal SJ (2016) Moving in a moving medium: new perspectives on flight. Philos Trans R Soc B Biol Sci 371:20150382

    Article  Google Scholar 

  • Skov H, Heinanen S, Norman T, Ward R, Mendez-Roldan S, Ellis I (2018) ORJIP Bird Collision and Avoidance Study. Final report—April 2018

  • Stienen EWM, van Beers PW, Brenninkmeijer A, Habraken JM, Raaijmakers MH, van Tienen PG (2000) Reflections of a specialist: patterns in food provisioning and foraging conditions in Sandwich Terns Sterna sandvicensis. Ardea 88(1):33–49

    Google Scholar 

  • Thaxter CB, Clark NA, Ross-Smith VH, Conway GJ, Bouten W, Burton NHK (2017) Sample size required to characterize area use of tracked seabirds. J Wild Manag 81(6):1098–1109

    Article  Google Scholar 

  • Thaxter CB, Ross-Smith VH, Bouten W, Masden EA, Clark NA, Conway GJ, Barber L, Clewley GD, Burton NHK (2018) Dodging the blades: new insights into three-dimensional area use of offshore wind farms by Lesser Black-backed Gulls. Mar Ecol Prog Ser 587:247–253

    Article  ADS  Google Scholar 

  • UK Maritime and Coastguard Agency (2022) MGN 372 Offshore renewable energy installations (OREIs). https://www.gov.uk/government/collections/marine-guidance-notices-mgns accessed 16 Aug 2023

  • van Bemmelen RSA, Leemans JJ, Collier MP, Green RMW, Middelveld RP, Thaxter CB, Fijn RC (2023) Avoidance of offshore wind farms by Sandwich Terns increases with turbine density. Ornithol Appl. 126:duad055. https://doi.org/10.1093/ornithapp/duad055

    Article  Google Scholar 

  • van Deurs M, Grome T, Kaspersen M, Jensen H, Stenberg C, Sørensen T, Støttrup J, Warnar T, Mosegaard H (2012) Short- and long-term effects of an offshore wind farm on three species of sandeel and their sand habitat. Mar Ecol Prog Ser 458:169–180

    Article  ADS  Google Scholar 

  • van Hal R, Griffioen AB, van Keeken OA (2017) Changes in fish communities on a small spatial scale, an effect of increased habitat complexity by an offshore wind farm. Mar Environ Res 126:26–36

    Article  PubMed  Google Scholar 

  • Vandenabeele SP (2013) Avian rucksacks for science: in search for minimum-impact tagging procedures for birds. Thesis, Swansea University, https://cronfa.swan.ac.uk/Record/cronfa42920

  • Velilla E, Collinson E, Bellato L, Berg MP, Halfwerk W (2021) Vibrational noise from wind energy-turbines negatively impacts earthworm abundance. Oikos 130(6):844–849

    Article  ADS  Google Scholar 

  • Weiss CVC, Guanche R, Ondiviela B, Castellanos OF, Juanes J (2018) Marine renewable energy potential: a global perspective for offshore wind and wave exploitation. Energy Conv Manag 177(1):43–54

    Article  Google Scholar 

  • Woodward I, Thaxter CB, Owen E, Cook ASCP (2019) Desk-based revision of seabird foraging ranges used for HRA screening. BTO Research Report 724. Report by BTO and NIRAS Consulting Ltd, on Behalf of The Crown Estate

  • Worton BJ (1989) Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70(1):164–168

    Article  Google Scholar 

Download references

Acknowledgements

A large stakeholder group supervised the execution of this project: L Burton, T Frayling (both Natural England), A Tegala, V Egan, L Newman (National Trust), M Tierney, M Qureshi (Marine Management Organisation) as well as various people from these organisations as well as the Royal Society of the Protection of Birds are thanked for their interest and participation in our stakeholder meetings. M Grant and A Pharaoh (Royal Haskoning DHV) played an important role throughout the project and particularly in managing these stakeholder meetings. Fieldwork was carried out in nature reserves of Natural England and T Bolderstone, N Lawton and M Rooney are thanked for advice, invaluable help and cooperation, and their hospitality whilst on the island. The authors would like to thank K Bowgen, N Burton, N Clark, G Clewley, G Conway, J Marchant (BTO) and T Boudewijn, E Bravo Rebolledo, B Engels, H de Jong, J de Jong and R van Beurden (Waardenburg Ecology) for their valuable help during preparations, fieldwork and the analysis. L Iliszko and A Grochowska (Ecotone) are thanked for advice on logger deployments. We thank all those who provided comments to improve the manuscript.

Funding

This study was funded by Equinor (18899), with thanks in particular to S Eldøy, C Nunn, M Corney, H Mary Goodlad, R Erland, J Diouma Leyris, P Haslam and M Erikson.

Author information

Authors and Affiliations

Authors

Contributions

The study was conceived and designed by RCF, ASCPC and MPC, and manuscript preparation was jointly lead by RMWG, ASCPC and CBT with input from all co-authors giving consent to the final draft. Analysis was led by CBT within input and support by RMWG, RPM, MPC and RCF. Fieldwork data collection was organised by RMWG and MPC, with further lead input from RCT, ESS, LJW and RCF.

Corresponding author

Correspondence to Chris B. Thaxter.

Ethics declarations

Conflict of interest

All applicable international, national and institutional guidelines for sampling, care and experiment use of organisms for the study have been followed, and all necessary approvals have been obtained. Tracking of Sandwich terns in the UK was performed under the appropriate Special Methods Licences (license holders L Wright, E Scragg, R Taylor), and ringing permits from the British Trust for Ornithology, as well as Schedule 1 licences issued by Natural England. The authors have no conflict of interest.

Additional information

Responsible Editor: T. Clay.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 654 KB)

Supplementary file2 (PDF 1443 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Thaxter, C.B., Green, R.M.W., Collier, M.P. et al. Behavioural responses of Sandwich terns following the construction of offshore wind farms. Mar Biol 171, 58 (2024). https://doi.org/10.1007/s00227-023-04353-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00227-023-04353-7

Keywords

Navigation