Abstract
Flow and temperature are strongly linked environmental factors driving ecosystem processes in streams. Stream temperature maxima (T max_w) and stream flow minima (Q min) can create periods of stress for aquatic organisms. In mountainous areas, such as western North America, recent shifts toward an earlier spring peak flow and decreases in low flow during summer/fall have been reported. We hypothesized that an earlier peak flow could be shifting the timing of low flow and leading to a decrease in the interval between T max_w and Q min. We also examined if years with extreme low Q min were associated with years of extreme high T max_w. We tested these hypotheses using long-term data from 22 minimally human-influenced streams for the period 1950–2010. We found trends toward a shorter time lag between T max_w and Q min over time and a strong negative association between their magnitudes. Our findings show that aquatic biota may be increasingly experiencing narrower time windows to recover or adapt between these extreme events of low flow and high temperature. This study highlights the importance of evaluating multiple environmental drivers to better gage the effects of the recent climate variability in freshwaters.
Similar content being viewed by others
References
Arismendi, I., S. Johnson, J. Dunham, R. Haggerty & D. Hockman-Wert, 2012. The paradox of cooling streams in a warming world: regional climate trends do not parallel variable local trends in stream temperature in the Pacific continental United States. Geophysical Research Letters 39: L10401.
Barnett, T. P., D. W. Pierce, H. G. Hidalgo, C. Bonfils, B. D. Santer, T. Das, G. Bala, A. W. Wood, T. Nozawa, A. A. Mirin, D. R. Cayan & M. D. Dettinger, 2008. Human-induced changes in the hydrology of the Western United States. Science 319: 1080–1083.
Benda, L., N. L. Poff, D. Miller, T. Dunne, G. Reeves, G. Pess & M. Pollock, 2004. The network dynamics hypothesis: how channel networks structure riverine habitats. Bioscience 54(5): 413–427.
Burton, T. M. & G. E. Likens, 1973. The effect of strip-cutting on stream temperatures in the Hubbard Brook Experimental Forest, New Hampshire. BioScience 23(7): 433–435.
Caissie, D., 2006. The thermal regime of rivers: a review. Freshwater Biology 51(8): 1389–1406.
Clews, E., I. Durance, I. P. Vaughan & S. J. Ormerod, 2010. Juvenile salmonid populations in a temperate river system track synoptic trends in climate. Global Change Biology 16: 3271–3283.
Coulibaly, P. & D. H. Burn, 2005. Spatial and temporal variability of Canadian seasonal streamflows. Journal of Climate 18: 1991–2010.
Ebersole, J. L., W. J. Liss & C. A. Frissell, 2003. Thermal heterogeneity, stream channel morphology and salmonid abundance in northeast Oregon streams. Canadian Journal of Fisheries and Aquatic Sciences 60: 1266–1280.
Falcone, J. A., D. M. Carlisle, D. M. Wolock & M. R. Meador, 2010. GAGES: a stream gage database for evaluating natural and altered flow conditions in the conterminous United States. Ecology 91: 621.
Fry, F. E. J., 1947. Effects of the environment on animal activity. University of Toronto Studies, Biological Series 55. Publication of the Ontario Fisheries Research Laboratory 68: 1–62.
Hakala, J. P. & K. J. Hartman, 2004. Drought effect on stream morphology and brook trout (Salvelinus fontinalis) populations in forested headwater streams. Hydrobiologia 515: 203–213.
Harvey, B. C., R. J. Nakamoto & J. L. White, 2006. Reduced streamflow lowers dry-season growth of rainbow trout in a small stream. Transactions of the American Fisheries Society 135: 998–1005.
Johnson, S. L., 2004. Factors influencing stream temperatures in small streams: substrate effects and a shading experiment. Canadian Journal of Fisheries and Aquatic Sciences 61: 913–923.
Johnson, S. L. & J. A. Jones, 2000. Stream temperature response to forest harvest and debris flows in western Cascades, Oregon. Canadian Journal of Fisheries and Aquatic Sciences 57(supplement 2): 30–39.
Kundzewicz, Z. W., & A. Robson (eds), 2000. Detecting trend and other changes in hydrological data. World climate programme data and monitoring. United Nations Educational World Meteorological Scientific and Cultural Organization. WCDMP-45. Geneva, Italy.
Leppi, J. C., T. H. DeLuca, S. W. Harrar & S. W. Running, 2011. Impacts of climate change on August stream discharge in the Central-Rocky Mountains. Climatic Change. doi:10.1007/s10584-011-0235-1.
Lins, H. F. & J. R. Slack, 1999. Streamflow trends in the United States. Geophysical Research Letters 26(2): 227–230.
Luce, C. H. & Z. A. Holden, 2009. Declining annual streamflow distributions in the Pacific Northwest United States, 1948–2006. Geophysical Research Letters 36: L16401.
Lytle, D. A. & N. L. Poff, 2004. Adaptation to natural flow regimes. Trends in Ecology and Evolution 19: 94–100.
Magnuson, J. J., L. B. Crowder & P. A. Medvick, 1979. Temperature as an ecological resource. American Zoologist 19: 331–343.
Mantua, N., I. Tohver & A. Hamlet, 2010. Climate change impacts on streamflow extremes and summertime stream temperature and their possible consequences for freshwater salmon habitat in Washington State. Climatic Change 102: 187–223.
Matthews, W. J. & E. Marsh-Matthews, 2003. Effects of drought on fish across axes of space, time, and ecological complexity. Freshwater Biology 48: 1232–1253.
Maurer, E. P., A. W. Wood, J. C. Adam, D. P. Lettenmaier & B. Nijssen, 2002. A long-term hydrologically-based data set of land surface fluxes and states for the conterminous United States. Journal of Climate 15: 3237–3251.
May, C. L. & D. C. Lee, 2004. The relationships among inchannel sediment storage, pool depth, and summer survival of juvenile salmonids in Oregon Coast Range streams. North American Journal of Fisheries Management 24: 761–774.
McCullough, D. A., J. M. Bartholow, H. I. Jager, R. L. Beschta, E. F. Cheslak, M. L. Deas, J. L. Ebersole, J. S. Foott, S. L. Johnson, K. R. Marine, M. G. Mesa, J. H. Petersen, Y. Souchon, K. F. Tiffan & W. A. Wurtsbaugh, 2009. Research in thermal biology: burning questions for coldwater stream fishes. Reviews in Fisheries Science 17(1): 90–115.
Mohseni, O., H. G. Stefan & T. R. Erickson, 1998. A nonlinear regression model for weekly stream temperatures. Water Resources Research 34(10): 2685–2692.
Montgomery, D. R., 1999. Process domains and the river continuum. Journal of the American Water Resources Association 35: 397–410.
Mote, P. W., A. F. Hamlet, M. Clark & D. P. Lettenmaier, 2005. Declining mountain snowpack in western North America. Bulletin of the American Meteorological Society 86: 39–49.
Nolin, A. W. & C. Daly, 2006. Mapping “at risk” snow in the Pacific Northwest. Journal of Hydrometeorology 7: 1164–1171.
Noormets, A., (ed.) 2009. Phenology of ecosystem processes applications in global change research. Springer, New York. doi:10.1007/978-1-4419-0026-5.
Poff, N. L. & J. V. Ward, 1989. Implications of streamflow variability and predictability for lotic community structure: a regional analysis of streamflow patterns. Canadian Journal of Fisheries and Aquatic Sciences 46: 1805–1818.
Poole, G. C. & C. H. Berman, 2001. An ecological perspective on in-stream temperature: natural heat dynamics and mechanisms of human-caused thermal degradation. Environmental Management 27(6): 787–802.
Rajagopalan, B. & U. Lall, 1998. Interannual variability in western US precipitation. Journal of Hydrology 210: 51–67.
Regonda, S. K., B. Rajagopalan, M. Clark & J. Pitlick, 2005. Seasonal cycle shifts in hydroclimatology over the Western United States. Journal of Climate 18: 372–384.
Shelford, V. E., 1931. Some concepts of bioecology. Ecology 123: 455–467.
Smakhtin, V. U., 2001. Low flow hydrology: a review. Journal of Hydrology 240: 147–186.
Steinmetz, J., S. L. Kohler & D. A. Soluk, 2003. Birds are overlooked top predators in aquatic food webs. Ecology 84: 1324–1328.
Svensson, C., W. Z. Kundzewicz & T. Maurer, 2005. Trend detection in river flow series: 2. Flood and low-flow index series. Hydrological Sciences Journal 50(5): 811–824.
van Vliet, M. T. H., F. Ludwig, J. J. G. Zwolsman, G. P. Weedon & P. Kabat, 2011. Global river temperatures and sensitivity to atmospheric warming and changes in river flow. Water Resources Research 47: W02544.
Vannote, R. L. & B. W. Sweeney, 1980. Geographic analysis of thermal equiliberia – a conceptual–model for evaluating the effects of natural and modified thermal regimes on aquatic insect communities. American Naturalist 115: 667–695.
Wahl, K. L. & T. L. Wahl, 1995. Determining the flow of Comal Springs at New Braunfels, Texas, Texas Water ‘95, American Society of Civil Engineers, 16–17 August, 1995, San Antonio, Texas: 77–86.
Webb, B. W., D. M. Hannah, R. D. Moore, L. E. Brown & F. Nobilis, 2008. Recent advances in stream and river temperature research. Hydrological Processes 22: 902–918.
Acknowledgments
Brooke Penaluna, Tim D. Mayer, two anonymous referees, and the associated editor provided comments on the manuscript. Financial support was provided by US Geological Survey, the US Forest Service Pacific Northwest Research Station and Oregon State University. Use of firm or trade names is for reader information only and does not imply endorsement of any product or service by the U.S. Government.
Author information
Authors and Affiliations
Corresponding author
Additional information
Guest editors: A. Elosegi, M. Mutz & H. Piégay / Form and function: channel form, hydraulic integrity, and river ecosystem functioning
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Arismendi, I., Safeeq, M., Johnson, S.L. et al. Increasing synchrony of high temperature and low flow in western North American streams: double trouble for coldwater biota?. Hydrobiologia 712, 61–70 (2013). https://doi.org/10.1007/s10750-012-1327-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10750-012-1327-2