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Published online 4 January 2008
Published in J Environ Qual 37:234-244 (2008)
DOI: 10.2134/jeq2007.0105
© 2008 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Predicting Estuarine Sediment Metal Concentrations and Inferred Ecological Conditions: An Information Theoretic Approach

Jeffrey W. Hollistera,*, Peter V. Augustb, John F. Paulc and Henry A. Walkerd

a USEPA, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, 27 Tarzwell Drive, Narragansett, RI 02882
b Univ. of Rhode Island, Dep. of Natural Resources Science, 1 Greenhouse Road, Kingston, RI 02881
c USEPA, Office of Research and Development, Mail Code B343-06, Research Triangle Park, NC 27711
d USEPA, Office of Research and Development, National Health and Environmental Effects Research Lab., Atlantic Ecology Div., 27 Tarzwell Drive, Narragansett, RI 02882


Figure 1
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  		Fig. 1. Map of study area with locations of EPA's Environmental Monitoring and Assessment Program-Estuaries sampling stations used to generate models (n = 112).

 

Figure 2
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  		Fig. 2. Scatterplot of predicted vs. observed copper, lead, mercury, and cadmium sediment concentrations. Predictions were made from averaged models. The lines represents perfect agreement between predicted and observed values (y = 1x + 0). Values above the line indicate sampling points with potentially enriched concentrations.

 




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