Literature DB >> 18446405

Detecting temporal change in watershed nutrient yields.

James D Wickham1, Timothy G Wade, Kurt H Riitters.   

Abstract

Meta-analyses reveal that nutrient yields tend to be higher for watersheds dominated by anthropogenic uses (e.g., urban, agriculture) and lower for watersheds dominated by natural vegetation. One implication of this pattern is that loss of natural vegetation will produce increases in watershed nutrient yields. Yet, the same meta-analyses also reveal that, absent land-cover change, watershed nutrient yields vary from one year to the next due to many exogenous factors. The interacting effects of land cover and exogenous factors suggest nutrient yields should be treated as distributions, and the effect of land-cover change should be examined by looking for significant changes in the distributions. We compiled nutrient yield distributions from published data. The published data included watersheds with homogeneous land cover that typically reported two or more years of annual nutrient yields for the same watershed. These data were used to construct statistical models, and the models were used to estimate changes in the nutrient yield distributions as a result of land-cover change. Land-cover changes were derived from the National Land Cover Database (NLCD). Total nitrogen (TN) yield distributions increased significantly for 35 of 1550 watersheds and decreased significantly for 51. Total phosphorus (TP) yield distributions increased significantly for 142 watersheds and decreased significantly for 17. The amount of land-cover change required to produce significant shifts in nutrient yield distributions was not constant. Small land-cover changes led to significant shifts in nutrient yield distributions when watersheds were dominated by natural vegetation, whereas much larger land-cover changes were needed to produce significant shifts when watersheds were dominated by urban or agriculture. We discuss our results in the context of the Clean Water Act.

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Year:  2008        PMID: 18446405     DOI: 10.1007/s00267-008-9120-8

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


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

Authors:  Richard A Smith; Richard B Alexander; Gregory E Schwarz
Journal:  Environ Sci Technol       Date:  2003-07-15       Impact factor: 9.028

  4 in total
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1.  A method for comparative analysis of recovery potential in impaired waters restoration planning.

Authors:  Douglas J Norton; James D Wickham; Timothy G Wade; Kelly Kunert; John V Thomas; Paul Zeph
Journal:  Environ Manage       Date:  2009-05-19       Impact factor: 3.266

  1 in total

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