Abstract

AbstractAgricultural and rural land management practices can have a significant impact on the health of river ecosystems. In this study, our goal was to quantify the extent of land use influence on river water quality at two catchments in rural North Wales, Conwy and Clwyd. Stream water samples were collected bi‐weekly from five sampling sites over a three‐month period (September–November 2018) and analyzed in the laboratory to measure six water quality variables, namely, pH, electrical conductivity (EC), phosphorus, nitrate and ammonium concentrations, and bacterial coliform count. We then quantified their relationships with dominant land cover of the contributing catchments using two different land cover classification systems. Significant differences (p < 0.05) were observed across the sampling sites for pH, EC, nitrate and phosphorus concentration, and coliform count. Strong correlations were observed between pH and the proportion of Acid Grassland, and between nitrate levels and the proportion of Improved Grassland in the catchment. The presence of high‐quality agricultural land correlated positively with nitrate and phosphorus concentrations and bacterial coliform count. Conversely, dominance of poor quality agricultural land correlated with lower levels of all the measured water quality indicators. Our results suggest that the proportion of high‐quality agricultural land is a reliable indicator of stream water quality in rural catchments, most likely linked to intensive farming practices.

Highlights

  • Maintaining good stream water quality in a catchment is often a challenging task due to the release of pollutants from both point and nonpoint sources (Baker 2005; Ongley et al 2010; Zhou et al 2016)

  • We sought to quantify the link between land use land cover and stream water quality across two large rural catchments in North Wales, UK

  • Our results showed clear links between land use land cover and several water quality variables

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Summary

Introduction

Maintaining good stream water quality in a catchment is often a challenging task due to the release of pollutants from both point and nonpoint sources (Baker 2005; Ongley et al 2010; Zhou et al 2016). On the other hand, are much more difficult to characterize due to the complex and diffuse interaction between water runoff and landscape (Sliva and Dudley Williams 2001; Lam et al 2010; Liu et al 2016). The configuration and spatial extent of different land cover types within a catchment play an important role in determining the entry of nonpoint source pollutants into the stream (Basnyat et al 2000; Giri and Qiu 2016; Liu et al 2016).

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