Data from Assessing the added value of antecedent streamflow alteration in modelling stream condition
Dates
Publication Date
2023-11-14
Start Date
2013-01-01
End Date
2019-12-31
Citation
Woods, T.E., Eng, K., Carlisle, D.M., Cashman, M.J., Meador, M.R, Ryberg, K.R., and Maloney, K.O., 2023, Data from Assessing the added value of antecedent streamflow alteration in modelling stream condition: U.S. Geological Survey data release, https://doi.org/10.5066/P90LZVIR.
Summary
The dataset contains long-term and short-term summaries of streamflow alteration and measures of biological condition (fish multi-metric index). Streamflow alteration metrics include the magnitude, duration, frequency, and seasonality of high and low flow streamflow. Biological condition was estimated from the National Rivers and Streams Assessment and National Water Quality Assessment fish sampling programs. Using fish samples, a fish multi-metric index was calculated and categorized into altered versus non-altered fish communities.
Summary
The dataset contains long-term and short-term summaries of streamflow alteration and measures of biological condition (fish multi-metric index). Streamflow alteration metrics include the magnitude, duration, frequency, and seasonality of high and low flow streamflow. Biological condition was estimated from the National Rivers and Streams Assessment and National Water Quality Assessment fish sampling programs. Using fish samples, a fish multi-metric index was calculated and categorized into altered versus non-altered fish communities.
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CONUSeflows_metadata.xml Original FGDC Metadata
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24.48 KB
application/fgdc+xml
CONUSeflows_modelData.csv
228.06 KB
text/csv
Purpose
In stream systems, disentangling relationships between biology and flow and subsequent prediction of these relationships to unsampled streams is a common objective of large-scale ecological modelling. Often, streamflow metrics are derived from aggregating continuous streamflow records available at a subset of high-quality stream gages into long-term flow regime descriptors. Despite demonstrated value, shortcomings of these long-term approaches include spatial restriction to locations with long-term continuous flow records (commonly, biased toward larger systems) and omission of potentially ecologically important short-term (i.e., ≤ 1 year) antecedent streamflow information. This dataset contains records of long-term flow regime and short-term antecedent streamflow alteration information that were used in models of stream fish biological condition. These data are specific to the modelling objectives of the study.
