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Fish Data Collection on the Canadian River 1995-2015

Metadata Updated: October 29, 2023

The use of streamflow simulations from the Vflo model and subsequent calculation of streamflow metrics to investigate flow-ecology relationships may be hindered by our inability to accurately model flow variability and extreme flows of the arid Great Plains. The Canadian River and other rivers in the Great Plains tend to have highly variable flows and harsh environmental conditions. The combination of these environmental conditions makes semi-arid and arid regions difficult to represent with a hydrologic model, especially extreme events. In some cases, overestimating flows may be acceptable to water managers (e.g., vulnerability of infrastructures), but could greatly affect estimates of fish species persistence. To address incidences where poor model performance affected metrics derived from Vflo simulations, we suggest three possible options. 1) Restrict flow-ecology relationships to the mainstem of the Canadian River below Lake Meredith, 2) Restrict assessments to streamflow data aggregated at a monthly time step (although typically, this does not match ecological processes well); 3) Focus on streamflow metrics with a high prediction accuracy (e.g., magnitude, timing and duration at some locations). To maximize the number of potential explanatory variables and survey locations available in the Canadian River basin for the development of flow-ecology response models and minimize bias and uncertainty, a combination of these approaches is likely warranted. To move forward on flow-ecology relationships with valid statistical power, the compiled fish data (see processing steps) is best combined with available gage data to improve the development of ecological relationships.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:5b880a56e4b0702d0e7b0f1f
Data Last Modified 20200814
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
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Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -103.4334,34.8119,-95.6912,36.054
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash d797a9abf4423c4c153c321a14d46b3f5830be5487132e2c08726e45a1447308
Source Schema Version 1.1
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