Streamflow duration assessment methods (SDAMs) are rapid tools for reach-scale streamflow duration classification. SDAMs use single-visit indicator data as surrogates because direct measurement of long-term flow duration is resource intensive. Algae (diatoms and soft-bodied algae) are potentially strong indicators of streamflow-duration class (SDC) because of geographical ubiquity and biodiversity across moisture gradients. Algal cover and algal assemblage data (presence/absence, density, and bi
Identifying algal indicators for streamflow duration assessment methods in forested headwater streams
Ken M. Fritz·David M. Walters·Gregory J. Pond·Susanna J DeCelles·Brent Johnson·Jay R. Christensen·Roxolana Kashuba
