Hemery, L.G., D.J. Hasselman, M. Le Marchand, G. Safi, E.A. Fulton, A.E. Copping. 2024. Chapter 9: Beyond Single Marine Renewable Energy Devices: A Systems-Wide Effects Approach, pg. 226-250, In Garavelli, L. A.E. Copping, L. Hemery, and M.C. Freeman (eds.), OES-Environmental 2024 State of the Science Report: Environmental Effects of Marine Renewable Energy Development Around the World. Report for Ocean Energy Systems (OES). 

 

Copping, A.E., D.J. Hasselman, C.W. Bangley, J. Culina, and M. Carcas. 2023. A probabilistic methodology for determining collision risk of marine animals with tidal energy turbines. Journal of Marine Science and Engineering 11(11): 2151. 

 

Hasselman, D.J., L.G. Hemery, A.E. Copping, E.A. Fulton, J. Fox, A.B. Gill, and B. Polagye. 2023. ‘Scaling up’ our understanding of environmental effects of marine renewable energy development from single devices to large-scale commercial arrays. Science of the Total Environment 904: 166801. 

 

Sanderson, B.G., R.H. Karsten, and D.J. Hasselman. 2023. Towards estimating probability of fish-turbine encounter: using drifters equipped with acoustic tags to verify efficacy of an array of acoustic receivers. Journal of Marine Science and Engineering 11(8): 1592. 

 

*Sanderson, B.G., C.W. Bangley, L.P. McGarry, and D.J. Hasselman. 2023. Measuring detection efficiency of high-residency acoustic signals for estimating probability of fish-turbine encounter in a fast-flowing tidal passage. Journal of Marine Science and Engineering 11(6): 1172. 

*JSME Best Paper Award 2023 

 

Sanderson, B.G., R.H. Karsten, C.C. Solda, D.C. Hardie, and D.J. Hasselman. 2023. Probability of Atlantic salmon post-smolts encountering a tidal turbine installation in Minas Passage, Bay of Fundy. Journal of Marine Science and Engineering 11(5): 1095. 

 

Hasselman, D.J., H. Li, E. Cotter, J. Joslin. 2022. Editorial: Novel technologies for assessing the environmental and ecological impacts of marine renewable energy systems. Frontiers in Marine Science 9: 990327. 

 

Lowe, S.C., L.P. McGarry, J. Douglas, J. Newport, S. Oore, C. Whidden, and D.J. Hasselman. 2022. Echofilter: a deep learning segmentation model improves the automation, standardization, and timelines for post-processing echosounder data in tidal energy streams. Frontiers in Marine Science 9:867857. 

 

Bangley, C.W. and D.J. Hasselman. 2022. Integration of hydrodynamics and acoustic telemetry for predictive species distribution modelling in a dynamic marine environment: implications for marine renewable energy development. OCEANS 2022, Hampton Roads; Hampton Roads, VA, USA, 2022, pp. 1-10. 

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Bangley, C.W., D.J. Hasselman, J. Mills-Flemming, F. Whoriskey, J. Culina, L. Enders, and R.G. Bradford. 2022. Modeling the probability of overlap between marine fish distributions and marine renewable energy infrastructure using acoustic telemetry data. Frontiers in Marine Science 9:851757. 

 

Viehman, H.A., D.J. Hasselman, J. Douglas, and T. Boucher. 2022. The ups and downs of using active acoustic technologies to study fish at tidal energy sites. Frontiers in Marine Science 9: 851400. 

 

Copping, A.E., L.G. Hemery, H. Viehman, A.C. Sietz, G.J Staines, and D.J. Hasselman. 2021. Are fish in danger? A review of environmental effects of marine renewable energy on fishes. Biological Conservation 262: 109297. 

 

Hasselman, D.J., D.R. Barclay, R. Cavagnaro, C. Chandler, E. Cotter, D.M. Gillespie, G.D. Hastie, J.K. Horne, J. Joslin, C. Long, L.P. McGarry, R.P. Mueller, C.E. Sparling, and B.J. Williamson. 2020. Chapter 10: Environmental Monitoring Technologies and Techniques for Detecting Interactions of Marine Animals with Turbines, pg. 177-213, In Copping, A. and L. Hemery (eds.) OES-Environmental 2020 State of the Science Report: Environmental Effects of Marine Renewable Energy Development Around the World. Report for Ocean Energy Systems (OES).