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Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches (2023)
Journal Article
Stevenson, J. L., Birkel, C., Comte, J., Tetzlaff, D., Marx, C., Neill, A., …Soulsby, C. (2023). Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches. Environmental Monitoring and Assessment, 195(4), Article 468. https://doi.org/10.1007/s10661-023-11055-6

Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling (2021)
Journal Article
Neill, A. J., Birkel, C., Maneta, M. P., Tetzlaff, D., & Soulsby, C. (2021). Structural changes to forests during regeneration affect water flux partitioning, water ages and hydrological connectivity: Insights from tracer-aided ecohydrological modelling. Hydrology and Earth System Sciences, 25(9), 4861-4886. https://doi.org/10.5194/hess-25-4861-2021

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 (2020)
Journal Article
Neill, A. J., Tetzlaff, D., Strachan, N. J., Hough, R. L., Avery, L. M., Kuppel, S., …Soulsby, C. (2020). 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, 270, Article 110903. https://doi.org/10.1016/j.jenvman.2020.110903

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 (2020)
Journal Article
Neill, A. J., Tetzlaff, D., Strachan, N. J., Hough, R. L., Avery, L. M., Maneta, M. P., & Soulsby, C. (2020). 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, 270, Article 110905. https://doi.org/10.1016/j.jenvman.2020.110905

Using spatial-stream-network models and long-term data to understand and predict dynamics of faecal contamination in a mixed land-use catchment (2018)
Journal Article
Neill, A. J., Tetzlaff, D., Strachan, N. J. C., Hough, R. L., Avery, L. M., 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, 840-852. https://doi.org/10.1016/j.scitotenv.2017.08.151