Climate change is one of the main drivers of river warming worldwide. However, the response of river temperature to climate change differs with the hydrology and landscape properties, making it difficult to generalize the strength and the direction, of river temperature trends across large spatial scales and various river types. Additionally, there is a lack of long‐term and large‐scale trend studies in Europe as well as globally. In this study, we investigated the long‐term (25 years; 132 sites) and the short‐term (10 years; 475 sites) river temperature trends, patterns and underlying drivers within the period 1985–2010 in seven river basins of Germany. The majority of the sites underwent significant river warming during 1985–2010 (mean warming trend: 0.03 °C year−1, SE = 0.003), with a faster warming observed during individual decades (1985–1995 and 2000–2010) within this period. Seasonal analyses showed that, while rivers warmed in all seasons, the fastest warming had occurred during summer. Among all the considered hydro‐climatological variables, air temperature change, which is a response to climate forcing, was the main driver of river temperature change because it had the strongest correlation with river temperature, irrespective of the period. Hydrological variables, such as average flow and baseflow, had a considerable influence on river temperature variability rather than on the overall trend direction. However, decreasing flow probably assisted in a faster river temperature increase in summer and in rivers in NE basins (such as the Elbe basin). The North Atlantic Oscillation Index had a greater significant influence on the winter river temperature variability than on the overall variability. Landscape and basin variables, such as altitude, ecoregion and catchment area, induced spatially variable river temperature trends via affecting the thermal sensitivity of rivers, with the rivers in large catchments and in lowland areas being most sensitive. Copyright © 2016 John Wiley & Sons, Ltd.
Despite increasing knowledge on the spatio-temporal dynamics of river temperature, a master water quality variable, it remains a challenge to identify the landscape variables influencing thermal heterogeneity along entire river courses. The present study investigated the spatial heterogeneity of stream temperature (ST), and the role of landscape variables, at 20 locations along the 195 km course of the intensively managed lowland River Spree (NE Germany) over a period of nine months. Along the river, four distinct thermal sections were identified, created by thermal discontinuities induced by lakes and an urban area. Three approaches, namely heat budget modelling (estimating the unresolved residual heat flux), both in Eulerian and Lagrangian form, semi-empirical air2stream modelling, and statistical correlations were applied to quantify the observed thermal heterogeneity and the role of climatic (air temperature) and landscape variables (land use, lakes, stream azimuth). Urban areas and lakes were identified as heat sources (in summer), which induced ST discontinuities at different time scales (daily, monthly and during the entire study period). Statistical correlations showed that heat inputs and ST increased with increasing urban area and decreased with distance from lakes. Furthermore, comparison of observed STs and those simulated via the Lagrangian model revealed that heat advection was the dominant thermal process in a lake-influenced section and persisted over a distance of up to 20 km. Simulations showed that this effect could not be significantly diminished even by complete riparian shading along the section, as the sub-daily ST reduced by an average of only 1.5°C. Hence, plantation of riparian buffers should be complemented with additional mitigation measures such as improving the groundwater table recharge, managing the temperature of urban discharges, to mitigate climate change impacts on ST.
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