Improving Our Understanding of Seabird Behaviour at Sea
This project collated tracking data from five seabird species thought to be vulnerable to offshore wind farms. These data were analysed to understand whether seabird distribution data, usually undertaken in daytime, good weather conditions, were representative of behaviour in other conditions.
6 References
Alerstam, T., Rosén, M., Bäckman, J., Ericson, P.G.P., Hellgren, O., 2007. Flight Speeds among Bird Species: Allometric and Phylogenetic Effects. PLoS Biology 5, e197.
Alerstam, T., Bäckman, J. Evans, T.J., 2019 Optimal central place foraging flights in relation to wind. J Ornithol 160, 1065–1076
Amélineau, F. Péron, C., Lescroël, A., Authier, M., Provost, P. Grémillet, D. (2014) Journal of Experimental Biology 2014 217: 876–885
Band, B., 2012. Using a collision risk model to assess bird collision risks for offshore wind farms [WWW Document].
Bouten, W., Baaij, E.W., Shamoun-Baranes, J., Camphuysen, K.C.J., 2013. A flexible GPS tracking system for studying bird behaviour at multiple scales. Journal of Ornithology 154, 571–580.
Broadbent, I.D., Nixon, C.L.B., 2019. Refusal of planning consent for the Docking Shoal offshore wind farm: Stakeholder perspectives and lessons learned. Marine Policy.
Buckland, S.T., Burt, M.L., Rexstad, E.A., Mellor, M., Williams, A.E., Woodward, R., 2012. Aerial surveys of seabirds: The advent of digital methods. Journal of Applied Ecology 49, 960–967.
Calenge, C., 2006. The package "adehabitat" for the R software: A tool for the analysis of space and habitat use by animals. Ecological Modelling 197, 516–519.
Camphuysen, C.J., Fox, A.D., Leopold, M.F., Petersen, I.K., 2004. Towards standardised seabirds at sea census techniques in connection with environmental impact assessments for offshore wind farms in the U.K. A comparison of ship and aerial sampling methods for marine birds, and their applicability to offshore wind farm.
Christensen-Dalsgaard, S., May, R., Lorentsen, S.H., 2018. Taking a trip to the shelf: Behavioral decisions are mediated by the proximity to foraging habitats in the black-legged Kittiwake. Ecology and Evolution 8, 866–878.
Cleasby, I.R., Wakefield, E.D., Bearhop, S., Bodey, T.W., Votier, S.C., Hamer, K.C., 2015. Three-dimensional tracking of a wide-ranging marine predator: Flight heights and vulnerability to offshore wind farms. Journal of Applied Ecology 52, 1474–1482.
Collins, P.M., Green, J.A., Elliot, K.H., Shaw, P.J.A., Chivers, L., Hatch, S.A., Halsey, L., 2020. Coping with the commute: behavioural responses to wind conditions in a foraging seabird. Journal of Avian Biology, 51, doi/full/10.1111/jav.02057
Crown Estate Scotland, ScotWind Leasing Update on Timescales and Next Steps, https://www.crownestatescotland.com/media-and-notices/news-media-releases-opinion/scotwind-leasing-update-on-timescales-and-next-steps
Dierschke, V., Furness, R.W., Garthe, S. 2016. Seabirds and offshore wind farms in European waters: Avoidance and attraction. Biological Conservation, 202, 59–68.
ECMWF, 2019. European Centre for Medium-Range Weather Forecasts [WWW Document].
Fernández-López, J., Schliep, K., 2019. Package "rWind". R package version 1.1.3. [WWW Document].
Fijn, R.C., Gyimesi, A., 2018. Behaviour related flight speeds of Sandwich Terns and their implications for wind farm collision rate modelling and impact assessment. Environmental Impact Assessment Review 71, 12–16.
Furness, R.W., Garthe, S., Trinder, M., Matthiopoulos, J., Wanless, S., Jeglinski, J., 2018. Nocturnal flight activity of northern gannets Morus bassanus and implications for modelling collision risk at offshore wind farms. Environmental Impact Assessment Review 73, 1–6.
Furness, R.W., Bryant, D.M. 1996. Effect of Wind on Field Metabolic Rates of Breeding Northern Fulmars. Ecology,77, 1181-1188.
Furness, R.W., Wade, H.M., Masden, E.A., 2013. Assessing vulnerability of marine bird populations to offshore wind farms. Journal of Environmental Management 119, 56–66.
Garthe, S., Huppop, O., 2004. Scaling possible adverse effects of marine wind farms on seabirds: Developing and applying a vulnerability index. Journal of Applied Ecology 41, 724–734.
Grecian, W.J., Witt, M.J., Attrill, M.J., Bearhop, S., Godley, B.J., Grémillet, D., Hamer, K.C., Votier, S.C., 2012, 'A novel projection technique to identify important at-sea areas for seabird conservation: An example using Northern Gannets breeding in the North East Atlantic', Biological Conservation, vol. 156, pp. 43-52.
Hamer, K.C., Humphreys, E.M., Magalhães, M.C., Garthe, S., Hennicke, J., Petters, G., Grémillet , D., Skov, H., Wanless, S., 2009. Fine‐scale foraging behaviour of a medium‐ranging marine predator. Journal of Animal Ecology, 78, 880–889.
Johnson, D.S., London, J.M., Lea, M.A., Durban, J.W., 2008. Continuous-time correlated random walk model for animal telemetry data. Ecology 89, 1208–1215.
Johnston, A., Cook, A.S., 2016. How high do birds fly? Development of methods and analysis of digital aerial data of seabird flight heights - BTO Research Report Number 676 53.
Johnston, A., Cook, A.S.C.P., Wright, L.J., Humphreys, E.M., Burton, N.H.K., 2014. Modelling flight heights of marine birds to more accurately assess collision risk with offshore wind turbines. Journal of Applied Ecology 51, 31–41.
Lane, J.V., Spracklen, D.V., Hamer, K.C. 2019. Effects of windscape on three-dimensional foraging behaviour in a wide-ranging marine predator, the northern gannet. Marine Ecology Progress Series, 628, 183–193.
Lewis, S., Benvenuti, S., Dall'Antonia, L., Griffiths, R., Money, L., Sherratt, T.N., Wanless, S., Hamer, K.C., 2002. Sex-specific foraging behaviour in a monomorphic seabird. Proceedings of the Royal Society B: Biological Sciences 269, 1687–1693.
Martin, G.R., 2011. Understanding bird collisions with man‐made objects: a sensory ecology approach. Ibis, 153, 253–254.
Masden, E.A., 2015. Scottish Marine and Freshwater Science Vol 6 No 14: Developing an avian collision risk model to incorporate variability and uncertainty. Marine Scotland Science.
Masden, E.A., Cook, A.S.C.P., 2016. Avian collision risk models for wind energy impact assessments. Environmental Impact Assessment Review 56, 43–49.
Masden, E.A., Haydon, D.T., Fox, A.D., Furness, R.W., 2010. Barriers to movement: Modelling energetic costs of avoiding marine wind farms amongst breeding seabirds. Marine Pollution Bulletin 60, 1085–1091.
Masden, E.A., McCluskie, A., Owen, E., Langston, R.H.W., 2015. Renewable energy developments in an uncertain world: The case of offshore wind and birds in the UK. Marine Policy 51, 169–172.
McClintock, B.T., Michelot, T., 2018. momentuHMM: R package for generalized hidden Markov models of animal movement. Methods in Ecology and Evolution 9, 1518–1530.
Mitchell, P.I., Newton, S.F., Ratcliffe, N., Dunn, T.E., 2004. Seabird Populations of Britain and Ireland: results of the Seabird 2000 census.
Mullers, R. H., Navarro, R. A., Daan, S., Tinbergen, J. M., Meijer, H.A. 2009. Energetic costs of foraging in breeding Cape gannets Morus capensis. Marine Ecology Progress Series, 393, 161–171.
National Archives, Open Government License, https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, Accessed 11/04/2022
Nudds, R.L., Bryant, D.M., 2000. The energetic cost of short flights in birds. Journal of Experimental Biology 203, 1561–1572.
Pennycuick, C.J. 1982, The Flight of Petrels and Albatrosses (Procellariiformes), Observed in South Georgia and its Vicinity. Phillosophical Transactions of the Royal Society London B, 300, 75-106. DOI:10.1098/rstb.1982.0158
Pennycuick, C., 1987. Flight of seabirds., in: Croxall JP (Ed) Seabirds: Feeding Ecology and Role in Marine Ecosystems. pp. 43–62.
Pennycuick, C., 1997 Actual and 'optimum' flight speeds: field data reassessed. Journal of Experimental Biology, 200, 2355–2361
Ross-Smith, V.H., Thaxter, C.B., Masden, E.A., Shamoun-Baranes, J., Burton, N.H.K., Wright, L.J., Rehfisch, M.M., Johnston, A., 2016. Modelling flight heights of lesser black-backed gulls and great skuas from GPS: a Bayesian approach. Journal of Applied Ecology 53, 1676–1685.
Sachs, G., Traugott, J., Nesterova, A.P., Bonadonna, F., 2013. Experimental verification of dynamic soaring in albatrosses. Journal of Experimental Biology 216, 4222–4232.
Safi, K., Kranstauber, B., Weinzierl, R., Griffin, L., Rees, E.C., Cabot, D., Cruz, S., Proaño, C., Takekawa, J.Y., Newman, S.H., Waldenström, J., Bengtsson, D., Kays, R., Wikelski, M., Bohrer, G. 2013. Flying with the wind: scale dependency of speed and direction measurements in modelling wind support in avian flight. Mov Ecol 1, 4
Sansom, A., Wilson, L.J., Caldow, R.W.G., Bolton, M., 2018. Comparing marine distribution maps for seabirds during the breeding season derived from different survey and analysis methods. PLoS ONE 13, e0201797.
Scottish Courts and Tribunals, 2016. Petition of The Royal Society for The Protection of Birds for Judicial Review, http://www.scotcourts.gov.uk/search-judgments/judgment? Accessed 11/04/2022
Scottish Courts and Tribunals, 2017. Reclaiming Motions in the Petitions by the Royal Society For The Protection Of Birds against The Scottish Ministers and (First) Inch Cape Offshore Ltd; (Second) Neart Na Gaoithe Offshore Wind Ltd; and (Third) Seagreen Wind Energy Ltd for Judicial Review, https://www.scotcourts.gov.uk/search-judgments/judgment? Accessed 11/04/2022
Shamoun-Baranes, J., Bouten, W., Camphuysen, C.J., Baaij, E., 2011. Riding the tide: Intriguing observations of gulls resting at sea during breeding. Ibis 153, 411–415.
Skov, H., Heinänen, S., Norman, T., Ward, R.M., Méndez-Roldán, S., Ellis, I., 2018. ORJIP Bird Collision and Avoidance Study. Final report – April 2018. The Carbon Trust. United Kingdom. 247 pp.
Soanes, L.M., Arnould, J.P.Y., Dodd, S.G., Sumner, M.D., Green, J.A., 2013. How many seabirds do we need to track to define home-range area? Journal of Applied Ecology 50, 671–679.
Soanes, L. M., Atkinson, P. W., Gauvain, R. D., Green, J.A. 2012. Individual consistency in the foraging behaviour of Northern Gannets.: Implications for interactions with offshore renewable energy developments. Marine Policy 38, 507-514.
Sommerfeld, J., Mendel, B., Fock, H.O., Garthe, S. 2016. Combining bird-borne tracking and vessel monitoring system data to assess discard use by a scavenging marine predator, the lesser black-backed gull Larus fuscus . Marine Biology, 163, 116.
Thaxter, C.B., Burton, N.H.K., 2009. High Definition Imagery for Surveying Seabirds and Marine Mammals: A Review of Recent Trials and Development of Protocols, Report commissioned by COWRIE Ltd.
Thaxter, C.B., Wanless, S., Daunt, F., Harris, M.P., Benvenuti, S., Watanuki, Y., D. Grémillet, Hamer, K.C., 2010. Influence of wing loading on trade-off between pursuit-diving and flight in common guillemots and razorbills. Journal of Experimental Biology 213 : 1,018–1,025.
Thaxter, C.B., Clark, N.A., Ross-Smith, V.H., Conway, G.J., Bouten, W., Burton, N.H.K., 2017. Sample size required to characterize area use of tracked seabirds. Journal of Wildlife Management 81, 1098–1109.
Thaxter, C.B., Ross-Smith, V.H., Bouten, W., Masden, E.A., Clark, N.A., Conway, G.J., Barber, L., Clewley, G.D., Burton, N.H.K., 2018. Dodging the blades: New insights into three-dimensional space use of offshore wind farms by lesser black-backed gulls Larus fuscus. Marine Ecology Progress Series 587, 247–253.
Toke, D., 2011. The UK offshore wind power programme: A sea-change in UK energy policy? Energy Policy 39, 526–534.
Votier, S.C., 2013. A bird's eye view of discard reforms: bird-borne cameras reveal seabird/fishery interactions. PLoS One 8, e57376.
Waggit, J.J., Cazenave , P.W., Torres, R., Williamson, B.J., Scott, B.E., 2016.Quantifying pursuit-diving seabirds' associations with fine-scale physical features in tidal stream environments. Journal of Applied Ecology, 53, 1653–1666.
Wakefield, E.D., Bodey, T.W., Bearhop, S., Blackburn, J., Colhoun, K., Davies, R., Dwyer, R.G., Green, J.A., Grémillet, D., Jackson, A.L., Jessop, M.J., Kane, A., Langston, R.H.W., Lescroël, A., Murray, A., Le Nuz, M., Patrick, S.C., Péron, C., Soanes, L.M., Walness, S., Votier, S.C., Hamer, K.C., 2013. Space partitioning without territoriality. Science, 341 (6141). 68–70. ISSN 0036-8075.
Wakefield, E.D., Owen, E., Baer, J., Carrol, M.J., Daunt, F., Dodd, S.G., Green, J.A., Guilford, T., Mavor, R.A., Miller, P.I., Newell, M.A., Newton, S.F., Robertson, G.S., Shoji, A., Soanes, L.M., Votier, S.C., Wanless, S. & Bolton, M. 2017 Breeding density, fine‐scale tracking, and large‐scale modeling reveal the regional distribution of four seabird species. Ecological Applications, 27, 2074–2091.
Warwick-Evans, V., Atkinson, P. W., Arnould, J. P. Y., Gauvain, R., Soanes, L., Robinson, L. A., & Green, J. A. 2016. Changes in behaviour drive inter-annual variability in the at-sea disribution of northern gannets. Marine Biology. 163 (156)
Weimerskirch, H., Pinaud, D., Pawlowski, F., Bost, C.A., 2007. Does prey capture induce area-restricted search? A fine-scale study using GPS in a marine predator, the wandering albatross. American Naturalist 170, 734–743.
Wilson, K., Hanks, E., Johnson, D., 2018. Estimating animal utilization densities using continuous-time Markov chain models. Methods in Ecology and Evolution 9, 1232–1240.
Wischnewski, S., Fox, D.S., McCluskie, A., Wright, L.J., 2017 Seabird tracking at the Flamborough & Filey Coast: Assessing the impacts of offshore wind turbines: Pilot study 2017 Fieldwork report & recommendations. RSPB Centre for Conservation Science Report to Ørsted. https://infrastructure.planninginspectorate.gov.uk/wp-content/ipc/uploads/projects/EN010080/EN010080-001300-D2_HOW03_Appendix%207_Wischnewski%20et%20al_2017.pdf [accessed 31/07/2020]
Wischnewski, S., Arneill, G.E., Bennison, A.W., Dillane, E., Poupart, T.A., Hinde, C.A., Jessopp, M.J., Quinn, J.L., 2019. Variation in foraging strategies over a large spatial scale reduces parent–offspring conflict in Manx shearwaters. Animal Behaviour 151, 165–176.
Worton, B.J., 1989. Kernel methods for estimating the utilization distribution in home- range studies. Ecology 70, 164–168.
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