A Daily Time Series Analysis of StreamWater Phosphorus Concentrations Along an Urban to Forest Gradient

During a 1-year period, we sampled stream water total phosphorus (TP) concentrations daily and soluble reactive phosphorus (SRP) concentrations weekly in four Seattle area streams spanning a gradient of forested to urban-dominated land cover. The objective of this study was to develop time series models describing stream water phosphorus concentration dependence on seasonal variation in stream base flows, short-term flow fluctuations, antecedent flow conditions, and rainfall. Stream water SRP concentrations varied on average by ±18% or ±5.7 μg/L from one week to another, whereas TP varied ±48% or ±32.5 μg/L from one week to another. On average, SRP constituted about 47% of TP. Stream water SRP concentrations followed a simple sine-wave annual cycle with high concentrations during the low-flow summer period and low concentrations during the high-flow winter period in three of the four study sites. These trends are probably due to seasonal variation in the relative contributions of groundwater and subsurface flows to stream flow. In forested Issaquah Creek, SRP concentrations were relatively constant throughout the year except during the fall, when a major salmon spawning run occurred in the stream and SRP concentrations increased markedly. Stream water SRP concentrations were statistically unrelated to short-term flow fluctuations, antecedent flow conditions, or rainfall in each of the study streams. Stream water TP concentrations are highly variable and strongly influenced by short-term flow fluctuations. Each of the processes assessed had statistically significant correlations with TP concentrations, with seasonal base flow being the strongest, followed by antecedent flow conditions, short-term flow fluctuations, and rainfall. Times series models for each individual stream were able to predict ∼70% of the variability in the SRP annual cycle in three of the four streams (r2 = 0.57–0.81), whereas individual TP models explained ∼50% of the annual cycle in all streams (r2 = 0.39–0.59). Overall, time series models for SRP and TP dynamics explained 82% and 76% of the variability for these variables, respectively. Our results indicate that SRP, the most biologically available and therefore most important phosphorus fraction, has simpler and easier-to-predict seasonal and weekly dynamics.

[1]  Derek B. Booth,et al.  Urbanization and the Natural Drainage System -- Impacts, Solutions, and Prognoses , 1991 .

[2]  P. Ekholm.  Algal-available phosphorus originating from agriculture and municipalities , 1998 .

[3]  G. Lamberti,et al.  Marine carbon and nitrogen in southeastern Alaska stream food webs: Evidence from artificial and natural streams , 2002 .

[4]  C. Konrad.  The frequency and extent of hydrologic disturbances in streams in the Puget Lowland, Washington , 2000 .

[5]  R. Neller.  A comparison of channel erosion in small urban and rural catchments , 1988 .

[6]  A. Sharpley.  Estimating Phosphorus in Agricultural Runoff Available to Several Algae Using Iron-Oxide Paper Strips , 1993 .

[7]  Craig A Stow,et al.  Assessing TMDL effectiveness using flow-adjusted concentrations: a case study of the Neuse River, North Carolina. , 2003, Environmental science & technology.

[8]  R. Naiman,et al.  The Ecology of Interfaces: Riparian Zones , 1997 .

[9]  P. Maitland.  Restoration of aquatic ecosystems: Science, technology, and public policy , 1993 .

[10]  T. Schueler.  The importance of imperviousness , 1995 .

[11]  D. Schindler.  Evolution of phosphorus limitation in lakes. , 1977, Science.

[12]  W. T. Edmondson.  Sixty Years of Lake Washington: a Curriculum Vitae , 1994 .

[13]  A. E. Greenberg,et al.  Standard methods for the examination of water and wastewater : supplement to the sixteenth edition , 1988 .

[14]  D. Correll,et al.  Nutrient dynamics in an agricultural watershed: Observations on the role of a riparian forest , 1984 .

[15]  I. Falconer,et al.  An Overview of problems caused by toxic blue–green algae (cyanobacteria) in drinking and recreational water , 1999 .

[16]  G. Persson,et al.  Particulate and dissolved phosphorus forms in freshwater: composition and analysis , 1988, Hydrobiologia.

[17]  G. Likens,et al.  Transport and Transformation of Phosphorus in a Forest Stream Ecosystem , 1979 .

[18]  R. Vollenweider,et al.  Advances in defining critical loading levels for phosphorus in lake eutrophication. , 1976 .

[19]  D. Booth.  STREAM‐CHANNEL INCISION FOLLOWING DRAINAGE‐BASIN URBANIZATION , 1990 .

[20]  S. Carpenter,et al.  NONPOINT POLLUTION OF SURFACE WATERS WITH PHOSPHORUS AND NITROGEN , 1998 .

[21]  B. K. Ellis,et al.  Phosphorus bioavailability of fluvial sediments determined by algal assays , 1988, Hydrobiologia.

[22]  T. C. Winter.  Ground-water component of lake water and nutrient budgets: With 3 figures in the text , 1978 .

[23]  D. Weller,et al.  Nutrient Interception by a Riparian Forest Receiving Inputs from Adjacent Cropland , 1993 .

[24]  Arthur H. Johnson,et al.  Estimating solute transport in streams from grab samples , 1979 .

[25]  C. Reynolds,et al.  Sources and bioavailability of phosphorus fractions in freshwaters: a British perspective , 2001, Biological reviews of the Cambridge Philosophical Society.

[26]  D. W. Nelson,et al.  Algal availability of phosphorus in suspended stream sediments of varying particle size , 1984 .

[27]  J. Reuter,et al.  Relative importance of stream-borne particulate and dissolved phosphorus fractions to Lake Tahoe phytoplankton , 1999 .

[28]  B. Kronvang,et al.  Suspended Sediment and Particulate Phosphorus Transport and Delivery Pathways in AN Arable Catchment, GELBÆK Stream, Denmark , 1997 .

[29]  G. Hollis.  The Effect of Urbanization on Floods of Different Recurrence Interval , 1975 .

[30]  N. Pacini,et al.  Speciation of riverine particulate phosphorus during rain events , 1999 .

[31]  G. Arhonditsis,et al.  Environmental Control and Limnological Impacts of a Large Recurrent Spring Bloom in Lake Washington, USA , 2003, Environmental management.

[32]  Phosphorus availability in particulate materials transported by urban runoff , 2022 .

[33]  C. Ong,et al.  Genotoxicity of microcystic cyanobacteria extract of a water source in China. , 1999, Mutation research.

[34]  E. Welch,et al.  Ecological effects of wastewater : applied limnology and pollution effects , 1996 .

[35]  P. Ekholm,et al.  Bioavailability of phosphorus in purified municipal wastewaters , 1998 .

[36]  Takeshi Murota,et al.  Pacific Salmon Carcasses: Essential Contributions of Nutrients and Energy for Aquatic and Terrestrial Ecosystems , 1999 .

[37]  R. L. Leonard,et al.  Nutrient transport in surface runoff from a subalpine watershed, Lake Tahoe Basin, California , 1979 .

[38]  T. Reilly,et al.  Flow and Storage in Groundwater Systems , 2002, Science.

[39]  Donald E. Weller,et al.  Relating nutrient discharges from watersheds to land use and streamflow variability , 1997 .

[40]  D. Montgomery,et al.  LARGE WOODY DEBRIS JAMS, CHANNEL HYDRAULICS AND HABITAT FORMATION IN LARGE RIVERS , 1996 .

[41]  B. L. Howes,et al.  Freshwater flow into a coastal embayment: Groundwater and surface water inputs , 1994 .

[42]  Vladimir Novotny,et al.  Water quality : diffuse pollution and watershed management , 2003 .

[43]  M. Jansson,et al.  PHOSPHOROUS RELEASE FROM LAKE SEDIMENTS , 1982 .

[44]  C. Stow,et al.  Predicting the frequency of water quality standard violations: a probabilistic approach for TMDL development. , 2002, Environmental science & technology.

[45]  George B. Arhonditsis,et al.  Non-Point-Source Impacts on Stream Nutrient Concentrations Along a Forest to Urban Gradient , 2005, Environmental management.

[46]  S. Fennessy,et al.  Review of: Restoration of aquatic ecosystems: Science, technology, and public policy: Committee on Restoration of Aquatic Ecosystems-Science, Technology, and Public Policy, National Research Council. National Academy Press, Washington, DC , 1993 .

[47]  T. Williams,et al.  Patterns of nutrient loading in forested and urbanized coastal streams , 1997 .