Changes in chlorophyll-a in English rivers over the last 49 years

Worrall, Fred; Howden, N.J.K.; Burt, T.P.; Jarvie, H.P.

Changes in chlorophyll-a in English rivers over the last 49 years

Worrall, Fred ORCID: https://orcid.org/0000-0002-4139-1330; Howden, N.J.K.; Burt, T.P. ORCID: https://orcid.org/0000-0001-5908-3718; Jarvie, H.P. ORCID: https://orcid.org/0000-0002-4984-1607. 2026 Changes in chlorophyll-a in English rivers over the last 49 years. Journal of Hydrology, 664 (A), 134394. 14, pp. 10.1016/j.jhydrol.2025.134394

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Official URL: https://doi.org/10.1016/j.jhydrol.2025.134394

Abstract/Summary

Ongoing anthropogenically-driven environmental change in rivers (e.g. increasing air temperature, changing river flow extremes, increases in some key nutrients and decreasing concentrations of other key nutrients) is expected to impact ecological status and the magnitude and frequency of river algal blooms. In this study we considered 49 years of data from up to 161 river sites across England using water-column chlorophyll-a as a measure of suspended algal biomass and used a Bayesian hierarchical model to explore the potential drivers of changing river chlorophyll-a concentrations. Over a period of five decades the changes in chlorophyll-a concentrations in rivers across England showed a mixed pattern in relationships with key environmental variables and are almost evenly divided between significant increases and decreases in those chlorophyll-a concentrations. Most river sites showed no significant change in the probability of algal bloom events (chlorophyll-a > 15 μg/l; > 30 μg/l or 45 μg/l) over the last 49 years. These results indicate that there has been no clear directional response in algal bloom events across England’s rivers to the changing pressures, including climate change and large-scale reductions in P concentrations achieved over the last 49 years from improved wastewater treatment. By identifying these differing patterns in chlorophyll-a trends and responses across England, this large-scale spatio-temporal analysis provides a basis for exploring the multiple pressures driving chlorophyll-a responses at local to regional scales.

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.jhydrol.2025.134394

UKCEH and CEH Sections/Science Areas:

UKCEH Fellows

ISSN:

0022-1694

Additional Information:

Open Access paper - full text available via Official URL link.

Additional Keywords:

chlorophyll, Bayesian, hierarchical model, eutrophication, nutrients