Inferring air–water temperature relationships from river and catchment properties
Article first published online: 14 MAY 2013
Copyright © 2013 John Wiley & Sons, Ltd.
Volume 28, Issue 6, pages 2912–2928, 15 March 2014
How to Cite
Johnson, M. F., Wilby, R. L. and Toone, J. A. (2014), Inferring air–water temperature relationships from river and catchment properties. Hydrol. Process., 28: 2912–2928. doi: 10.1002/hyp.9842
- Issue published online: 3 MAR 2014
- Article first published online: 14 MAY 2013
- Accepted manuscript online: 17 APR 2013 04:53AM EST
- Manuscript Accepted: 27 MAR 2013
- Manuscript Received: 20 DEC 2012
- climate change;
- water temperature;
- riparian shade;
- logistic regression;
Water temperature (Tw) is a key determinant of freshwater ecosystem status and cause for concern under a changing climate. Hence, there is growing interest in the feasibility of moderating rising Tw through management of riparian shade. The Loughborough University Temperature Network (LUTEN) is an array of 36 water and air temperature (Ta) monitoring sites in the English Peak District set-up to explore the predictability of local Tw, given Ta, river reach, and catchment properties. Year 1 of monitoring shows that 84%–94% of variance in daily Tw is explained by Ta. However, site-specific logistic regression parameters exhibit marked variation and dependency on upstream riparian shade. Perennial spring flows in the lower River Dove also affect regression model parameters and strongly buffer daily and seasonal mean Tw. The asymptote of the models (i.e. maximum expected Tw) is particularly sensitive to groundwater inputs. We conclude that reaches with spring flows potentially offer important thermal refuges for aquatic organisms against expected long-term warming of rivers and should be afforded special protection. Copyright © 2013 John Wiley & Sons, Ltd.