All Outputs (5)

Larval and juvenile fish abundance, habitat, water quality, flow and climate data from English rivers, 1984-2017 (2025)
Data
(2025). Larval and juvenile fish abundance, habitat, water quality, flow and climate data from English rivers, 1984-2017. [Data]. https://doi.org/10.5285/c904c5f0-7f21-4759-a7d4-c262da230b53

This dataset contains monthly/annual time series of species-specific abundances and covariates for 137 targeted larval/juvenile fish surveys at sites in a range of English lowland rivers. Larval/juvenile fish data come from two different sources: The... Read More about Larval and juvenile fish abundance, habitat, water quality, flow and climate data from English rivers, 1984-2017.

Using geophysical subsurface data for the reconstruction of valley-scale spatio-temporal floodplain evolution: implications for upland river restoration (2024)
Journal Article
Schwendel, A. C., Milan, D. J., Pope, R. J., Williams, R., & Thompson, W. (2024). Using geophysical subsurface data for the reconstruction of valley-scale spatio-temporal floodplain evolution: implications for upland river restoration. Geomorphology, 466, Article 109459. https://doi.org/10.1016/j.geomorph.2024.109459

The use of analogues of previous river styles is highly significant for successful river restoration, yet some existing techniques available to assist practitioners are still not widely applied. We explore the use of Ground Penetrating Radar (GPR), t... Read More about Using geophysical subsurface data for the reconstruction of valley-scale spatio-temporal floodplain evolution: implications for upland river restoration.

Fish abundance, habitat, water quality, flow and climate data from English rivers,1975-2017 (2024)
Data
Ainsworth, R., Keller, V., Bachiller- Jareno, N., Jürgens, M., Eastman, M., Sadykova, D., Rizzo, C., Scarlett, P., Peirson, G., Eley, F., Antoniou, V., Cowx, I., Johnson, A., & Nunn, A. (2024). Fish abundance, habitat, water quality, flow and climate data from English rivers,1975-2017. [Data]. https://doi.org/10.5285/b0afb78e-a0cb-4762-9220-659211ae3a5e

This dataset contains a time series of species-specific fish abundances and covariates for 1180 fish sites in English rivers. Sites with at least ten annual fish surveys in the Environment Agency’s (EA) National Fish Population Database (NFPD) betwee... Read More about Fish abundance, habitat, water quality, flow and climate data from English rivers,1975-2017.

PFAS River Export Analysis Highlights the Urgent Need for Catchment-Scale Mass Loading Data (2024)
Journal Article
Byrne, P., Mayes, W. M., James, A. L., Comber, S., Biles, E., Riley, A. L., & Runkel, R. L. (2024). PFAS River Export Analysis Highlights the Urgent Need for Catchment-Scale Mass Loading Data. Environmental Science and Technology Letters, 11(3), 266–272. https://doi.org/10.1021/acs.estlett.4c00017

Source apportionment of per- and polyfluoroalkyl substances (PFAS) requires an understanding of the mass loading of these compounds in river basins. However, there is a lack of temporally variable and catchment-scale mass loading data, meaning identi... Read More about PFAS River Export Analysis Highlights the Urgent Need for Catchment-Scale Mass Loading Data.

Ikaite formation in streams affected by steel waste leachate: First report and potential impact on contaminant dynamics (2023)
Journal Article
Bastianini, L., Rogerson, M., Brasier, A., Prior, T. J., Hardman, K., Dempsey, E., Bird, A., & Mayes, W. M. (2024). Ikaite formation in streams affected by steel waste leachate: First report and potential impact on contaminant dynamics. Chemical Geology, 644, Article 121842. https://doi.org/10.1016/j.chemgeo.2023.121842

Highly alkaline (pH 9–12) waters can arise from a range of globally significant and environmentally impactful industrial processes such as lime, steel and cement production, alumina refining and energy generation (e.g. combustion ashes). Such residue... Read More about Ikaite formation in streams affected by steel waste leachate: First report and potential impact on contaminant dynamics.