Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …

Climate change is expected to modify temperature and precipitation patterns throughout
Europe, leading to warmer drier summers; wetter, milder winters; and an extended growing …

Climate change is altering river temperature regimes, modifying the dynamics of
temperature‐sensitive fishes. The ability to map river temperature is therefore important for …

River temperature is well established as an important variable for aquatic denizens. Given
its importance, researchers are attempting to disentangle complex interactions between …

Watershed-scale stream temperature models are often one-dimensional because they
require fewer data and are more computationally efficient than two-or three-dimensional …

Individual aggression and thermal refuge use were monitored in brook trout Salvelinus
fontinalis in a controlled laboratory to determine how fish size and personality influence time …

The bio-chemical and physical characteristics of a river are directly affected by water
temperature, which therefore affects the overall health of aquatic ecosystems. In this study …

This project demonstrates the successful use of small unoccupied aircraft system (sUASs)
for hydrogeological characterization of a remote stream reach in a rugged mountain terrain …

In this report, we describe a general approach to developing and evaluating alternative
restoration scenarios and present examples of alternative methods for each step in the …

This study investigated interactions between eco‐hydromorphological state, riparian
vegetation cover, water temperature and fish community composition in lowland rivers in …