A variety of collision risk models (CRMs) have been developed, and several are currently used around the world. SCRAM and StochLAB/StochCRM are described in detail here and here. Key resources to find more information about a range of CRMs are linked below. If you are interested in adding a specific resource to this list, please contact kate.williams@briwildlife.org.
Journal Articles and Technical Reports (oldest to latest):
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Band, B., 2012. Using a Collision Risk Model to Assess Bird Collision Risks for Offshore Windfarms. SOSS Report. The Crown Estate. https://www.bto.org/sites/default/files/u28/downloads/Projects/Final_Report_SOSS02_Band1ModelGuidance.pdf
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Smales, I., Muir, S., Meredith, C., Baird, R., 2013. A description of the biosis model to assess risk of bird collisions with wind turbines. Wildl. Soc. Bull. 37, 59–65. https://doi.org/10.1002/wsb.257.
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Masden, E. 2015. Developing an avian collision risk model to incorporate variability and uncertainty. Scottish Marine and Freshwater Science 6(14). https://data.marine.gov.scot/dataset/developing-avian-collision-risk-model-incorporate-variability-and-uncertainty
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Masden, E.A., Cook, A.S.C.P., 2016. Avian collision risk models for wind energy impact assessments. Environ. Impact Assess. Rev. 56, 43–49. https://doi.org/10.1016/j.eiar.2015.09.001
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McGregor, R.M., King, S., Donovan, C.R., Caneco, B., Webb, A., 2018. A Stochastic Collision Risk Model for Seabirds in Flight. Marine Scotland. https://www.gov.scot/publications/stochastic-collision-risk-model-for-seabirds-in-flight/
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Cook, A.S.C.P. 2021. Additional analysis to inform SNCB recommendations regarding collision risk modelling. BTO Research Report. 739:48. https://www.bto.org/sites/default/files/publications/bto_rr_739_cook_collision_risk_models_final_web.pdf
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Caneco, B., Humphries, G.R.W., Cook, A., Masden, E.A., 2022. Estimating Bird Collisions at Offshore Wind Farms with stochLAB. https://hidef-aerial-surveying.github.io/stochLAB/
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Adams, E.M., Gilbert, A.T., Loring, P., Williams, K.A., 2022. Transparent Modeling of Collision Risk for Three Federally Listed Bird Species in Relation to Offshore Wind Energy Development: Final Report. (No. 2022–071). U. S. Department of the Interior Bureau of Ocean Energy Management Office of Renewable Energy Programs, Washington, DC. https://www.govinfo.gov/content/pkg/GOVPUB-I-ad957af2f65b7ab92bdae3bcdde6f90a/pdf/GOVPUB-I-ad957af2f65b7ab92bdae3bcdde6f90a.pdf
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NatureScot. 2023. Guidance Note 7: Guidance to support Offshore Wind Applications: Marine Ornithology - Advice for assessing collision risk of marine birds. https://www.nature.scot/doc/guidance-note-7-guidance-support-offshore-wind-applications-marine-ornithology-advice-assessing
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JNCC, Natural England, Natural Resources Wales, and NatureScot. 2024. Joint advice note from the Statutory Nature Conservation Bodies (SNCBs) regarding bird collision risk modelling for offshore wind developments. JNCC, Peterborough. https://data.jncc.gov.uk/data/f7892820-0f84-4e96-9eff-168f93bd343d/joint-sncb-crm-advice-note.pdf
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Goyert HF, Adams EM, Gilbert A, Gulka J, Loring PH, Stepanuk JEF, Williams, KA (Biodiversity Research Institute, Portland, ME; U.S. Fish and Wildlife Service, Charlestown, RI). 2024. SCRAM 2: transparent modeling of collision risk for three federally listed bird species in relation to offshore wind energy development. Sterling (VA): U.S. Department of the Interior, Bureau of Ocean Energy Management, Sterling, VA. 80 p Obligation No.: M19PG00023. Report No.: BOEM 2024-057. https://espis.boem.gov/Final%20Reports/BOEM_2024-057.pdf
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Cook, A.S.C.P., Salkanovic, E., Masden, E., Hsiu, E.L., Kiilerich A.H. 2025. A critical appraisal of 40 years of avian collision risk modelling: How have we got here and where do we go next? Environmental Impact Assessment Review 110 (2025) 107717. https://www.sciencedirect.com/science/article/abs/pii/S0195925524003044
Recorded Presentations
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July 2024 - State of the Science on Offshore Wind, Wildlife and Fisheries - Perspectives on Collision Risk Models:
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March 2024 - Webinar on SCRAM 1, hosted by the Regional Wildlife Science Collaborative (RWSC):