Updating the US hydrologic classification: an approach to clustering and stratifying ecohydrologic data
Version of Record online: 22 JUL 2013
Published 2013. This article is a U.S. Government work and is in the public domain in the USA.
Volume 7, Issue 3, pages 903–926, June 2014
How to Cite
McManamay, R. A., Bevelhimer, M. S. and Kao, S.-C. (2014), Updating the US hydrologic classification: an approach to clustering and stratifying ecohydrologic data. Ecohydrol., 7: 903–926. doi: 10.1002/eco.1410
- Issue online: 5 JUN 2014
- Version of Record online: 22 JUL 2013
- Accepted manuscript online: 24 JUN 2013 01:59AM EST
- Manuscript Revised: 19 JUN 2013
- Manuscript Accepted: 19 JUN 2013
- Manuscript Received: 5 NOV 2012
|Supplementary.Material.1.xlsx||Excel 2007 spreadsheet||441K||Table S1. (A) List of USGS gauges defined as reference, nonreference, and pre-dam regulation used in the hydrologic classifications, their assigned classes, and uncertainty. (B) The 110 hydrologic metrics used in the classification and (C) 52 landscape variables, their descriptions, and their importance in random forest models are also provided.|
|Supplementary.Material.2.xlsx||Excel 2007 spreadsheet||44K||Table S2. Results of the principal components analysis (PCA) including (A) eigenvalues and variation explained by principal components, (B) hydrologic variable loadings on the top four principal components, and (C) dimensionality represented by the reference, nonreference, and pre-dam regulation gauges in PCA space.|
|Supplementary.Material.3.docx||Word 2007 document||777K||Figure S3. Mosaic plots comparing the degree of associations among Poff (1996) hydrologic classes and updated hydrologic classes (this study). Pearson's residuals show the degree of positive or negative association among classes. Updated class with the highest association with each Poff class is shown in white box.|
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