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ABSTRACT The fraction of precipitation converted to stream discharge within a watershed, termed as runoff efficiency, may shift as climate changes. Runoff efficiency is known to be temperature‐sensitive in some watersheds, but temperature sensitivity is unquantified in many other watersheds. We identify regions where runoff efficiency is temperature‐sensitive using 942 watersheds, minimally influenced by anthropogenic activity, across the continental United States and Canada. Stepwise regression using historical discharge and climate records shows that runoff efficiency in 10 of 16 hydrologically similar hydro‐regions is sensitive to temperature, expanding the number of locations expected to experience temperature‐driven water stress, particularly in the North American continental interior. Runoff efficiency in all hydro‐regions demonstrates sensitivity to precipitation, but during wet years, runoff efficiency temporarily decreases, likely reflecting increasing groundwater storage. The temporary decrease in runoff efficiency is followed by an increase in the following year, likely due to the release of stored groundwater. This effect suggests changes in runoff efficiency help to stabilise watersheds, making it more difficult to both enter and leave drought as climate changes. The latter effect may partially explain observations of hydrologic drought persistence after meteorological drought ends. Understanding regional temperature sensitivity and the multiple‐year effect of precipitation will improve the ability to forecast runoff efficiency. 

Fluvial geomorphic analyses frequently require knowledge of bankfull channel geometries, which are thought to be related to characteristic stream discharges. However, relating bankfull geometry to characteristic discharge is challenged by spatially limited stream discharge measurements, which may also lack extensive temporal records. Because of these limitations, discharge is commonly assumed to scale linearly with watershed drainage area. Here we evaluate the assumption of a linear relationship between discharge and drainage area for watersheds across the United States and Canada with limited anthropogenic disturbance. Using machine-learning to objectively cluster hydrologically similar gauges, we find that discharge scales linearly with drainage area for most of North America. However, regions with low average runoff efficiency tend to have non-linear dischargescaling. In regions with non-linear discharge scaling, bankfull channel dimensions increase more rapidly with drainage area than in regions with linear discharge scaling. These results suggest that the recurrence interval of the characteristic discharge that sets channel geometry may be larger in regions where discharge scales nonlinearly with drainage area compared to those regions where linear discharge scaling applies. 

Abstract The cyanobacteriumSynechococcus elongatusis a model organism for the study of circadian rhythms. It is naturally competent for transformation—that is, it takes up DNA from the environment, but the underlying mechanisms are unclear. Here, we use a genome-wide screen to identify genes required for natural transformation inS. elongatus, including genes encoding a conserved Type IV pilus, genes known to be associated with competence in other bacteria, and others. Pilus biogenesis occurs daily in the morning, while natural transformation is maximal when the onset of darkness coincides with the dusk circadian peak. Thus, the competence state in cyanobacteria is regulated by the circadian clock and can adapt to seasonal changes of day length.