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Published online 5 April 2007
Published in J Environ Qual 36:718-729 (2007)
DOI: 10.2134/jeq2006.0246
© 2007 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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Identifying Fecal Sources in a Selected Catchment Reach Using Multiple Source-Tracking Tools

Jason R. Vogela,*, Donald M. Stoeckelb, Regina Lamendellac, Ronald B. Zelta, Jorge W. Santo Domingod, Steven R. Walkere and Daniel B. Oertherc

a USGS, 5231 S. 19th St., Lincoln, NE 68512
b USGS, 6480 Doubletree Ave., Columbus, OH 43229
c Dep. of Environmental Engineering, Univ. of Cincinnati, Cincinnati, OH 45220
d USEPA Office of Research and Development, National Risk Management Research Lab., 26 Martin Luther King Dr., MS-387, Cincinnati, OH 45268
e Nebraska Dep. of Environmental Quality, 1200 "N" St., Suite 400, P.O. Box 98922, Lincoln, NE 68509


Figure 1
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Fig. 1. Location of Plum Creek watershed in south-central Nebraska, including six sampling sites and contributing reach catchments on the main stem of Plum Creek.

 

Figure 2
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Fig. 2. E. coli concentration in (A) water samples at the six sampling sites along Plum Creek and in (B) water and bed sediment samples at Site 2.

 

Figure 3
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Fig. 3. Distribution of (A) isolates among sources and (B) operational taxonomic units (OTU) among sources in the known source library (inset pie chart in [B] depicts cosmopolitan OTUs).

 

Figure 4
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Fig. 4. Pie charts depicting classification of (A) water-isolated E. coli and (B) sediment-isolated E. coli. Only isolates that could be assigned to a single host of origin are included in the plots.

 

Figure 5
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Figure S1. Multi-dimensional scaling plot of isolates in the known source library. For effective discrimination by centroid-based statistical methods, the isolates should cluster by source.

 





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