PhD title: Forecasting spatial distribution of highly mobile marine species to reduce bycatch in UK fisheries
Bycatch, the unintended capture of non-targeted organisms by fishing vessels targeting other species, has impacts on marine ecosystems and protected, threatened and endangered species, as well as economic costs to commercial fisheries.
This research will seek to predict, the distribution and catchability, in space and time, of highly mobile marine species that are vulnerable to bycatch, such as spurdog (Squalus acanthias), a small shark species, and common dolphin (Delphinus delphis). This will require a combination of biological data, such as catch information self-reported by fishers, and environmental data, such as ocean physics and biochemistry model outputs available through the Copernicus Marine Environment Monitoring Service. These data will be used to develop models using GIS and statistical approaches, automated through Python or R scripting.
A further aim will be to assess the potential of the predictive models for use in dynamic fisheries management, where spatial boundaries and management recommendations are frequently updated on fine spatial and temporal scales, accounting for stakeholder perceptions and the socioeconomic implications of potential management measures.
Lonsdale, J., Nicholson, R., Weston, K., Elliott, M., Birchenough, A., Sühring, R. (2018). A user’s guide to coping with estuarine management bureaucracy: An Estuarine Planning Support System (EPSS) tool. Marine Pollution Bulletin 127:463-477. https://doi.org/10.1016/j.marpolbul.2017.12.032
Broughan J.M., Maye D., Carmody P., Brunton L.A., Ashton A., Wint W., Alexander N., Naylor R., Ward K., Goodchild A.V., Hinchliffe S., Eglin R.D., Upton P., Nicholson R., Enticott G. (2016). Farm characteristics and farmer perceptions associated with bovine tuberculosis incidents in areas of emerging endemic spread. Preventative Veterinary Medicine 129:88-98. https://doi.org/10.1016/j.prevetmed.2016.05.007
Brunton L.A., Nicholson, R., Ashton A., Alexander, N., Wint, W., Enticott, G., Ward, K., Broughan, J.M., Goodchild, A.V. (2015). A novel approach to mapping and calculating the rate of spread of endemic bovine tuberculosis in England and Wales, Spatial and Spatiotemporal Epidemiology 13:41-50. https://doi.org/10.1016/j.sste.2015.04.002
Enticott, G., Maye, D., Carmody, P., Naylor, R., Ward, K., Hinchliffe, S., Wint, W., Alexander, N., Elgin, R., Ashton, A., Upton, P., Nicholson, R., Goodchild, T., Brunton, L., Broughan, J. (2015). Farming on the edge: farmer attitudes to bovine tuberculosis in newly endemic areas. Veterinary Record 177(17):439. http://dx.doi.org/10.1136/vr.103187
Twomey D.F., Wu G., Nicholson R., Watson E.N., Foster A.P. (2014). Review of laboratory submissions from New World camelids in England and Wales (2000-2011). Veterinary Journal 200(1):51-59. https://doi.org/10.1016/j.tvjl.2014.01.021
Ely E.R., Nicholson R.E., Snow L.C., Strugnell B.W., Williamson S.M., Milnes A.S., Watson E.N., Hoinville L.J. (2012). Evaluation of methods for measuring coverage and representativeness of an early-warning disease surveillance system. Veterinary Record 171(17):423. http://dx.doi.org/10.1136/vr.100854
July 2019: Spatial Statistics 2019: Towards Spatial Data Science (5th Spatial Statistics conference, Sitges, Spain) Poster presented: Bycatch risk mapping of endangered North-east Atlantic picked dogfish (Squalus acanthias L.) in near-real time
GEOVET 2013: Geospatial analysis in veterinary epidemiology and preventive medicine (Royal Veterinary College, London) Poster presented: Approaches for mapping the spread of endemic bovine tuberculosis in Great Britain