University of Aberdeen

https://www.quadrat.ac.uk/wp-content/uploads/sites/15/2019/08/Scott-Beth-UoA-300x300.png
Current Position Professor in Marine Ecology
Telephone +44 (0)1224 273257
Email b.e.scott@abdn.ac.uk
Departments School of Biological Sciences
ECR No
Quadrat Core Themes Biodiversity, Environmental Management
Methods I Use Bio / Geo / Chemical Analytical, Modelling

Key Research Interests

  • I conduct multi-disciplinary research using my expertise in marine ecology, oceanography and fisheries sciences.
  • My research identifies general rules in bio-physical oceanographic processes that lead to the creation of hotspots of predator-prey activity and defines biological and physical variables that provide the limited, patchy locations and conditions where energy is transferred across trophic levels in marine food webs.
  • My research team uses approaches ranging from the collection and use of fine scale (second by second) information throughout the water column via acoustic instrumentation as well as the analysis of large scale (100s or km) long term data sets on spatial population dynamics. Both scales of information are also used within simulation modelling methods which are agent based.

Recent Key Papers

  • Sadykova, D., Scott, BE., Dominicis, MD., Wakelin, SL., Sadykov, A. & Wolf, J. (2017) ‘Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap’. Ecology and Evolution, 7:5212–5226. DOI: 10.1002/ece3.3081
  • Williamson, B.J., Fraser, S., Blondel, P., Bell, P.S., Waggitt, J.J. & Scott, B.E. (2017). ‘Multisensor Acoustic Tracking of Fish and Seabird Behavior Around Tidal Turbine Structures in Scotland’. IEEE Journal of Oceanic Engineering. DOI: 10.1109/JOE.2016.2637179
  • Chimienti, M., Cornulier, T., Owen, E., Bolton, M., Davies, I., Travis, JMJ. & Scott, BE. (2016). ‘The use of an unsupervised learning approach for characterizing latent behaviors in accelerometer data’. Ecology and Evolution, 6: 727–741. DOI: 10.1002/ece3.1914

Summary Title of Current Studentships

  • Modelling primary production in Scottish waters and the impact of climate change and renewable devices
  • Individuals to populations: The potential effects of large tidal arrays on mobile marine populations
  • Determining the ecology and physics of tidal-stream habitats
  • How environmental variability will drive macroecological patterns of biodiversity across marine and terrestrial ecosystems