Thermal regimes in rivers and streams are fundamentally important to aquatic ecosystems
and are expected to change in response to climate forcing as the Earth’s temperature warms. …

… where x(s 0 ) is a vector containing the covariate values at prediction location s 0 and the …
The remaining portion of equation 4 is an adjustment for spatial autocorrelation, where c(s 0 ) is …

… stream, so we applied a value of 3.0-m 3 /s mean annual flow (~10-m summer low-flow wetted
… Reaches with flows less than 3.0 m 3 /s were removed from the network, which left 56,500 …

Empirical evidence demonstrates that lakes and reservoirs are warming across the globe.
Consequently, there is an increased need to project future changes in lake thermal structure …

Many human influences on the world's ecosystems have their largest direct impacts at either
the top or the bottom of the food web. To predict their ecosystem‐wide consequences we …

… awarded where an algorithm’s error statistics was shown to be … s error statistics was between
1 and 2 standard deviations from 0 and no scoring point was awarded where an algorithm’s …

… Blue lines denote rivers with mean annual daily discharge >6 m 3 /s; thick white line
denotes the eastern extent of the study area. Archtypical annual thermographs for the regime …

… Examining this more closely by plotting the site loading values on each component from
the S-mode analysis, we see little variability among the loadings for PC1 relative to the much …

… s, 53C for 40 s and 72C for 1 min, followed by a final elongation step at 72C for 5 min. The
PCR products were checked in 2% agarose gel to determine success of the amplification and …

… The manufacturer embedded the LEDs in a scattering matrix, to produce a spatially diffuse
light field with a nearly Lambertian (constant apparent brightness independent of observer’s …