Literature DB >> 12901648

Natural background concentrations of nutrients in streams and rivers of the conterminous United States.

Richard A Smith1, Richard B Alexander, Gregory E Schwarz.   

Abstract

Determining natural background concentrations of nutrients in watersheds in the developed world has been hampered by a lack of pristine sampling sites covering a range of climatic conditions and basin sizes. Using data from 63 minimally impacted U.S. Geological Survey reference basins, we developed empirical models of the background yield of total nitrogen (TN) and total phosphorus (TP) from small watersheds as functions of annual runoff, basin size, atmospheric nitrogen deposition rate, and region-specific factors. We applied previously estimated in-stream loss rates to yields from the small watershed models to obtain estimates of background TN and TP yield and concentration throughout the stream/river network in 14 ecoregions of the conterminous United States. Background TN concentration varies from less than 0.02 mg L(-1) in the xeric west to more than 0.5 mg L(-1) along the southeastern coastal plain. Background TP concentration varies from less than 0.006 mg L-(1) in the xeric west to more than 0.08 mg L(-1) in the great plains. TN concentrations in U.S. streams and rivers currently exceed natural background levels by a much larger factor (6.4) than do TP concentrations (2.0). Because of local variation in runoff and other factors, the range of background nutrient concentrations is very large within some nutrient ecoregions. It is likely that background concentrations in some streams in these regions exceed proposed nutrient criteria.

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Year:  2003        PMID: 12901648     DOI: 10.1021/es020663b

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  25 in total

1.  Natural background concentrations of nutrients in the German Bight area (North Sea).

Authors:  Dilek Topcu; Horst Behrendt; U Brockmann; U Claussen
Journal:  Environ Monit Assess       Date:  2010-05-02       Impact factor: 2.513

2.  A regional classification scheme for estimating reference water quality in streams using land-use-adjusted spatial regression-tree analysis.

Authors:  Dale M Robertson; David A Saad; Dennis M Heisey
Journal:  Environ Manage       Date:  2006-02       Impact factor: 3.266

3.  Identifying biotic integrity and water chemistry relations in nonwadeable rivers of Wisconsin: toward the development of nutrient criteria.

Authors:  Brian M Weigel; Dale M Robertson
Journal:  Environ Manage       Date:  2007-07-18       Impact factor: 3.266

4.  Nutrient baselines of Cerrado low-order streams: comparing natural and impacted sites in Central Brazil.

Authors:  Bárbara Medeiros Fonseca; Luciana de Mendonça-Galvão; Claudia Padovesi-Fonseca; Lucijane Monteiro de Abreu; Adriana Cristina Marinho Fernandes
Journal:  Environ Monit Assess       Date:  2013-07-26       Impact factor: 2.513

5.  Detecting temporal change in watershed nutrient yields.

Authors:  James D Wickham; Timothy G Wade; Kurt H Riitters
Journal:  Environ Manage       Date:  2008-04-30       Impact factor: 3.266

6.  Estimation of nutrient sources and transport using Spatially Referenced Regressions on Watershed Attributes: a case study in Songhuajiang River Basin, China.

Authors:  Xue Li; Christopher Wellen; Guangxun Liu; Yuqiu Wang; Zhong-Liang Wang
Journal:  Environ Sci Pollut Res Int       Date:  2014-12-09       Impact factor: 4.223

7.  Linking terrestrial phosphorus inputs to riverine export across the United States.

Authors:  Genevieve S Metson; Jiajia Lin; John A Harrison; Jana E Compton
Journal:  Water Res       Date:  2017-07-17       Impact factor: 11.236

8.  Relationships Between Land Use and Stream Nutrient Concentrations in a Highly Urbanized Tropical Region of Brazil: Thresholds and Riparian Zones.

Authors:  F Tromboni; W K Dodds
Journal:  Environ Manage       Date:  2017-04-12       Impact factor: 3.266

9.  Comparing two periphyton collection methods commonly used for stream bioassessment and the development of numeric nutrient standards.

Authors:  Ashley R Rodman; J Thad Scott
Journal:  Environ Monit Assess       Date:  2017-06-28       Impact factor: 2.513

10.  Assessing background levels of specific conductivity using weight of evidence.

Authors:  Susan M Cormier; Lei Zheng; Glenn W Suter; Colleen M Flaherty
Journal:  Sci Total Environ       Date:  2018-02-28       Impact factor: 7.963

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