Published September 4, 2023 | Version v1
Dataset Open

Data from: The combined effects of treated sewage discharge and land use on rivers

  • 1. University of Oxford

Description

Freshwater ecosystems are increasingly threatened by multiple anthropogenic stressors. Release of treated sewage effluent and pollution from agricultural or urban sources can independently reduce water quality with implications for ecological communities. However, our knowledge of the combined effects of these stressors is limited. We performed a field study to quantify the combined effect of treated sewage discharge and land use on nutrient concentrations, sewage fungus presence, and communities of macroinvertebrates and benthic algae. Over three seasons in four rivers we found that a model which included an interaction between sewage pollution and time of the year (i.e., months) was the best predictor of nutrient concentrations and the abundance of algae and sewage fungus. Both macroinvertebrate and algae communities shifted downstream of sewage input. Specifically, more tolerant groups, such as cyanobacteria and Oligochaetes, were more abundant. The EPT (Ephemeroptera, Plecoptera, and Tricoptera) water quality score was best explained by an interaction between month and agriculture in the surrounding landscape. Overall, our results show that sewage discharge has a significant impact on water quality and benthic riverine communities, regardless of the surrounding land uses. Agricultural inputs, however, could be more important than treated sewage discharge in reducing the abundance of sensitive invertebrate taxa. We need both improvements to wastewater treatment processes and reductions in agricultural pollution to reduce threats to vulnerable freshwater communities.

Notes

R studio was used to perform all the statistical analysis and to create the graphs.

Funding provided by: University of Oxford
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000769
Award Number:

Funding provided by: NERC
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000305
Award Number:

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