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Byline: Jong-Suk Kim (1), Shaleen Jain (1,2) Abstract: Changes in the seasonality of streamflow in the western United States have important implications for water resources management and the wellbeing of coupled human-natural systems. An assessment of changes in the timing and magnitude of streamflow resolved at fine time scales (days to weeks and seasons) is highly relevant to adaptive management strategies that are responsive to changing hydrologic baselines. In this paper, we present a regional analysis of the changes in streamflow seasonality through a broad classification of streams and quantification of increases and decreases in flow, based on a quantile regression methodology. This analysis affords a useful research product to examine the diversity of trends across seasons for individual streams. The trend analysis methodology can identify windows of change, thus revealing vulnerabilities within decision calendars and species lifecycles, an important consideration for adaptation and mitigation efforts. Author Affiliation: (1) Department of Civil & Environmental Engineering, University of Maine, Orono, ME, 04469, USA (2) Climate Change Institute, University of Maine, Orono, ME, 04469, USA Article History: Registration Date: 16/07/2010 Received Date: 29/12/2009 Accepted Date: 10/07/2010 Online Date: 31/07/2010 Article note: Supported by NSF Grant: AGS0732309 & NOAA Grant: GC04-053. Electronic supplementary material The online version of this article (doi: 10.1007/s10584-010-9933-3) contains supplementary material, which is available to authorized users.