National and regional comparisons between Strahler order and stream size

Abstract Water-body size is one of the most important factors affecting the structure and function of aquatic ecosystems. The categorical variable, Strahler stream order, is commonly used as a surrogate for stream size, perhaps because stream size is a multidimensional attribute that defies simple definition. Some stream-size attributes, including continuous variables, such as catchment area, distance to source, and model estimates of discharge also are available as geographic information system (GIS)-derived or modeled variables. These GIS measures are commonly used by stream ecologists along with field-derived attributes, such as discharge, stream cross-sectional area, width, and depth, which are more direct measures of stream size as experienced by aquatic organisms. Our objective was to quantify how well some commonly used stream-size attributes are predicted from Strahler order in the US as a whole and within major ecoregions and hydrologic landscape regions. We based our analysis on field-channel-survey and digital-stream-trace data (NHD-Plus) from 2162 US stream sites, ranging from 1st to 8th order (at 1∶100,000 scale). Strahler order provided a surprisingly useful approximation of the ranges of catchment size, distance to source, modeled mean annual discharge, and field-based low-flow and bankfull channel dimensions for most streams within a given Strahler order. However, even within geoclimatically and ecologically similar regions, site-specific predictions of stream size from Strahler order can have large errors. Correlations between Strahler order and the size measures considered here varied widely (r  =  0.48–0.91). Within individual Strahler orders, the alternative size measures varied by 5 and 4 orders of magnitude at national and regional scales, respectively. The same size-measure value could occur in 1 to 7 different stream orders at the national scale and in some regions, with generally good agreement in mountains and poor agreement in plains. Therefore, we conclude that Strahler order is useful for relating information about stream size, but that researchers should base analyses on multiple, continuous measures of stream size and should communicate stream-size results or associations based on the size-related measurements. Two characteristics of Strahler order make it useful for selecting sites across the range of stream sizes encountered in regional and national surveys, as long as limitations are explicitly recognized. First, the number of Strahler orders is limited. Second, Strahler order is easy to extract from stream networks constructed from digital elevation data and from national hydrographic data sets.

[1]  Thomas C Winter,et al.  Delineation and Evaluation of Hydrologic-Landscape Regions in the United States Using Geographic Information System Tools and Multivariate Statistical Analyses , 2004, Environmental management.

[2]  Richard H. Norris,et al.  DEVELOPMENT AND EVALUATION OF PREDICTIVE MODELS FOR MEASURING THE BIOLOGICAL INTEGRITY OF STREAMS , 2000 .

[3]  R. Hughes,et al.  Historical changes in large river fish assemblages of the Americas , 2005 .

[4]  A. N. Strahler Quantitative analysis of watershed geomorphology , 1957 .

[5]  Robert M. Hughes,et al.  Classification strengths of ecoregions, catchments, and geographic clusters for aquatic vertebrates in Oregon , 2000, Journal of the North American Benthological Society.

[6]  G. Minshall,et al.  The River Continuum Concept , 1980 .

[7]  R. L. Shreve Statistical Law of Stream Numbers , 1966, The Journal of Geology.

[8]  Timothy O. Randhir,et al.  Effects of Riparian Areas, Stream Order, and Land Use Disturbance on Watershed‐Scale Habitat Potential: An Ecohydrologic Approach to Policy 1 , 2007 .

[9]  D. Wolock Hydrologic landscape regions of the United States , 2003 .

[10]  Daren M. Carlisle,et al.  Alteration of streamflow magnitudes and potential ecological consequences: a multiregional assessment , 2011 .

[11]  Gregory E Schwarz,et al.  The Role of Headwater Streams in Downstream Water Quality1 , 2007, Journal of the American Water Resources Association.

[12]  R. Horton Drainage‐basin characteristics , 1932 .

[13]  P. Kaufmann,et al.  A roughness-corrected index of relative bed stability for regional stream surveys , 2008 .

[14]  R. Crunkilton,et al.  Use of stream order and biological indices to assess water quality in the Osage and Black river basins of Missouri , 1991, Hydrobiologia.

[15]  H. B. N. Hynes,et al.  The Ecology of Running Waters , 1971 .

[16]  Lester L. Yuan,et al.  Condition of stream ecosystems in the US: an overview of the first national assessment , 2008, Journal of the North American Benthological Society.

[17]  T. Lisle Effects of aggradation and degradation on riffle-pool morphology in natural gravel channels, northwestern California , 1982 .

[18]  N. LeRoy Poff,et al.  Implications of Streamflow Variability and Predictability for Lotic Community Structure: A Regional Analysis of Streamflow Patterns , 1989 .

[19]  Alan T. Herlihy,et al.  Downstream variation in bankfull width of wadeable streams across the conterminous United States , 2009 .

[20]  E. George Robison Reach scale sampling metrics and longitudinal pattern adjustments of small streams , 1997 .

[21]  C. Cushing,et al.  Rivers of North America , 2005 .

[22]  Tamara A. Smith,et al.  Stream Fish Assemblages in Relation to Landscape Position and Local Habitat Variables , 2005 .

[23]  A. H. Bell,et al.  Urban streams across the USA: lessons learned from studies in 9 metropolitan areas , 2009, Journal of the North American Benthological Society.

[24]  M. Gordon Wolman,et al.  Fluvial Processes in Geomorphology , 1965 .

[25]  M. Paller Relationships between Fish Assemblage Structure and Stream Order in South Carolina Coastal Plain Streams , 1994 .

[26]  Charles P. Hawkins,et al.  Evaluation of the use of landscape classifications for the prediction of freshwater biota: synthesis and recommendations , 2000, Journal of the North American Benthological Society.

[27]  J. R. Stauffer,et al.  THE INFLUENCE OF STREAM ORDER AND SELECTED STREAM BED PARAMETERS ON FISH DIVERSITY IN RAYSTOWN BRANCH, SUSQUEHANNA RIVER DRAINAGE, PENNSYLVANIA , 1981 .

[28]  J. Omernik Ecoregions of the Conterminous United States , 1987 .

[29]  A Comparison of the Performance and Compatibility of Protocols Used by Seven Monitoring Groups to Measure Stream Habitat in the Pacific Northwest , 2010 .

[30]  W. Platts Relationships among Stream Order, Fish Populations, and Aquatic Geomorphology in an Idaho River Drainage , 1979 .

[31]  C. Seeliger,et al.  Quantifying physical habitat in wadeable streams : surface waters , 1999 .

[32]  Chemical characteristics of streams in the mid-Atlantic and southeastern United States (National Stream Survey: Phase 1). Volume 1. Population descriptions and physico-chemical relationships. Final report , 1988 .

[33]  N. LeRoy Poff,et al.  Hydrologic variation with land use across the contiguous United States: Geomorphic and ecological consequences for stream ecosystems , 2006 .

[34]  W. Hansen Identifying stream types and management implications , 2001 .

[35]  J. Bathurst Discussion of "Bar Resistance of Gravel-Bed Streams" , 1981 .

[36]  B. Lowery,et al.  Baseflow nitrate in relation to stream order and agricultural land use. , 2008, Journal of environmental quality.

[37]  Jeffrey A. Falke,et al.  Modelling of stream fishes in the Great Plains, USA , 2005 .

[38]  Robert C. Bailey,et al.  Biological assessment of freshwater ecosystems using a reference condition approach: comparing predicted and actual benthic invertebrate communities in Yukon streams , 1998 .

[39]  D. V. Peck,et al.  Survey design and extent estimates for the Wadeable Streams Assessment , 2008, Journal of the North American Benthological Society.

[40]  Didier Pont,et al.  A Predictive Index of Biotic Integrity Model for Aquatic-Vertebrate Assemblages of Western U.S. Streams , 2009 .

[41]  EFFECT OF MAP SCALE ON STREAM ORDERS , 1966 .

[42]  R. Horton EROSIONAL DEVELOPMENT OF STREAMS AND THEIR DRAINAGE BASINS; HYDROPHYSICAL APPROACH TO QUANTITATIVE MORPHOLOGY , 1945 .

[43]  James R. Karr,et al.  Regional Application of an Index of Biotic Integrity Based on Stream Fish Communities , 1984 .

[44]  E. Stanley,et al.  Influence of vegetation and seasonal flow patterns on parafluvial nitrogen retention in a 7th-order river , 2010, Journal of the North American Benthological Society.

[45]  D. Goffaux,et al.  Assessing river biotic condition at a continental scale: a European approach using functional metrics and fish assemblages , 2006 .

[46]  Daniel J. McGarvey,et al.  Longitudinal Zonation of Pacific Northwest (U.S.A.) Fish Assemblages and the Species-Discharge Relationship , 2008, Copeia.

[47]  Robert M. Hughes,et al.  Acquiring data for large aquatic resource surveys: the art of compromise among science, logistics, and reality , 2008, Journal of the North American Benthological Society.

[48]  T. Oberdorff,et al.  A fish-based index of large river quality for French Guiana (South America): method and preliminary results , 2006 .

[49]  Jonathan V. Higgins,et al.  A Freshwater Classification Approach for Biodiversity Conservation Planning , 2005 .

[50]  W. F. Christensen,et al.  Predicting local biological characteristics in streams: a comparison of landscape classifications , 2007 .

[51]  S. Bartell,et al.  Dynamics of Lotic Ecosystems. , 1984 .

[52]  Jean-François Guégan,et al.  Global scale patterns of fish species richness in rivers , 1995 .

[53]  T. Oberdorff,et al.  Initial development of a multi-metric index based on aquatic macroinvertebrates to assess streams condition in the Upper Isiboro-Sécure Basin, Bolivian Amazon , 2007, Hydrobiologia.

[54]  P. Kaufmann Channel Morphology and Hydraulic Characteristics of Torrent-Impacted Forest Streams in the Oregon Coast Range, U.S.A. , 1987 .

[55]  T. Erős,et al.  Effect of riverbed morphology, stream order and season on the structural and functional attributes of caddisfly assemblages (Insecta: Trichoptera) , 2004 .

[56]  C. Coimbra,et al.  Litter processing along a stream gradient: the role of invertebrates and decomposers , 2001, Journal of the North American Benthological Society.

[57]  Daniel J. McGarvey,et al.  Scale dependence in the species‐discharge relationship for fishes of the southeastern U.S.A. , 2008 .