Regional-scale Model Predictions of the Relation Between Biological Integrity and Streamflow Modification
The US Geological Survey (USGS) conducted a study (Carlisle and others 2017) with a national-scale dataset composed of ecological data from the USGS National Water-Quality Assessment Project and the US Environmental Protection Agency, matched to USGS streamgaging sites. In a follow-up study (Carlisle and others 2019), additional data from three regional assessments conducted by USGS were combined with data from the original study, and these new data are published here. Using all of the aforementioned datasets, the follow-up study (Carlisle and others, 2019) then developed regional-scale model predictions of the relation between streamflow modification and indicators of biological integrity. These model predictions, presented as graphics, are published here.
Complete Metadata
| accessLevel | public |
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"fn": "Daren M. Carlisle",
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| description | The US Geological Survey (USGS) conducted a study (Carlisle and others 2017) with a national-scale dataset composed of ecological data from the USGS National Water-Quality Assessment Project and the US Environmental Protection Agency, matched to USGS streamgaging sites. In a follow-up study (Carlisle and others 2019), additional data from three regional assessments conducted by USGS were combined with data from the original study, and these new data are published here. Using all of the aforementioned datasets, the follow-up study (Carlisle and others, 2019) then developed regional-scale model predictions of the relation between streamflow modification and indicators of biological integrity. These model predictions, presented as graphics, are published here. |
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"Central and Southern Plains United States",
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| modified | 2020-08-26T00:00:00Z |
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|
| title | Regional-scale Model Predictions of the Relation Between Biological Integrity and Streamflow Modification |
