Research interests:

I am currently a Research Fellow on the ISOLAND project. The overarching aim of the project is to understand the impact of land use change on the partitioning of water between "blue" and "green" fluxes through incorporation of stable isotope tracers within ecohydrological models. My main research themes on the project are: 1) Investigating the impact of native pinewood regeneration in Scotland on water partitioning through virtual modelling experiments; and 2) Understanding the information content of different ecohydrological datasets in the context of calibrating and validating complex ecohydrological models.

Central to my research in general is that I take an active role in both the collection of empirical field data and its integration into modelling frameworks to develop process understanding and test/refine model structures. My overall research interests can be summarised as follows:

– Catchment hydrology
– Isotope hydrology
– Ecohydrology
– Water quality (specifically microbial)
– Tracer-aided (eco)hydrological modelling
– Environmental agent-based modelling

Career history:

Employment History:

2019-Present: Research Fellow on ISOLAND project, University of Aberdeen

Higher Education:

2015-2019: PhD in Geosciences, University of Aberdeen: "Advancing models of microbial water quality: From statistical to process-based approaches"

2011-2015: MSci (Hons) in Geography, Durham University

Active research projects:

ISOLAND: Isotopes in ecohydrological models to manage land use change impacts. Research Fellow, 2019-Present.

Recent publications:

Neill, AJ., Tetzlaff, D., Strachan, NJC., Hough, RL., Avery, LM., Kuppel, S., Maneta, MP., Soulsby, C., (in review). An agent-based model that simulates the spatio-temporal dynamics of sources and transfer mechanisms contributing faecal indicator organisms to streams. Part 1: Background and model description. Journal of Environmental Management.

Neill, AJ., Tetzlaff, D., Strachan, NJC., Hough, RL., Avery, LM., Maneta, MP., Soulsby, C., (in review). An agent-based model that simulates the spatio-temporal dynamics of sources and transfer mechanisms contributing faecal indicator organisms to streams. Part 2: Application to a small agricultural catchment. Journal of Environmental Management.

Neill, AJ., Tetzlaff, D., Strachan, NJC., Soulsby, C., (2019). ‘To what extent does hydrological connectivity control dynamics of faecal indicator organisms in streams? Initial hypothesis testing using a tracer-aided model’. Journal of Hydrology, 570: 423-435.

Neill, AJ., Tetzlaff, D., Strachan, NJC., Hough, RL., Avery, LM., Watson, H., Soulsby, C., (2018). ‘Using spatial-stream-network models and long-term data to understand and predict dynamics of faecal contamination in a mixed land-use catchment’. Science of the Total Environment, 612: 840-851.