Novel flow regimes resulting from dam operations and overallocation of freshwater resources are an emerging consequence of global change. Yet, anticipating how freshwater biodiversity will respond to surging flow regime alteration requires overcoming two challenges in environmental flow science: shifting from local to riverscape-level understanding of biodiversity dynamics, and from static to time-varying characterizations of the flow regime. Here, we used time-series methods (wavelets and multivariate autoregressive models) to quantify flow-regime alteration and to link time-varying flow regimes to the dynamics of multiple local communities potentially connected by dispersal (i.e., a metacommunity). We studied the Chattahoochee River below Buford dam (Georgia, U.S.A.), and asked how flow regime alteration by a large hydropower dam may control the long-term functional trajectory of the downstream invertebrate metacommunity. We found that seasonal variation in hydropeaking synchronized temporal fluctuations in trait abundance among the flow-altered sites. Three biological trait states describing adaptation to fast flows benefitted from flow management for hydropower, but did not compensate for declines in 16 "loser" traits. Accordingly, metacommunity-wide functional diversity responded negatively to hydropeaking intensity, and stochastic simulations showed that the risk of functional diversity collapse within the next 4 years would decrease by 17% if hydropeaking was ameliorated, or by 9% if it was applied every other season. Finally, an analysis of 97 reference and 23 dam-affected river sites across the U.S. Southeast suggested that flow variation at extraneous, human-relevant scales (12-hr, 24-hr, 1-week) is relatively common in rivers affected by hydropower dams. This study advances the notion that novel flow regimes are widespread, and simplify the functional structure of riverine communities by filtering out taxa with nonadaptive traits and by spatially synchronizing their dynamics. This is relevant in the light of ongoing and future hydrologic alteration due to climate non-stationarity and the new wave of dams planned globally.

Coexistence of closely related species has long been a focus of biologists in their efforts to explain mechanisms that drive community assembly. Dytiscidae (predaceous diving beetles) are a group that shows a particularly high affinity for sympatry despite their relatedness. Our objective was to investigate the degree of overlap among Neoporus (Guignot) species (Coleoptera: Dytiscidae) in floodplains of the southeastern United States. We sampled two floodplain habitats (permanent oxbow lakes and temporarily flooded pools) of the Altamaha River (Georgia, USA) for Neoporus species over three years. Six species of Neoporus were collected during our study, and a significant amount of overlap (spatial and temporal) was documented. Analysis suggested that none of the species exhibited a preference toward one habitat type or the other. Temporally, no striking patterns of segregation emerged. No negative correlations between species were documented, but neither were significant positive correlations found. This absence of distinct patterns suggests a lack of segregation among Neoporus species in floodplains of the Altamaha River. While Dytiscidae in general appears to be a particularly sympatric group of organisms, overlap among congeneric species within the family has been documented less frequently. Our study provides new insight into the degree to which dytiscids are capable of coexisting in space and time.

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