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Fish Data Collection on the Canadian River 1995-2015

Metadata Updated: June 15, 2024

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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Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Identifier 5df245b9-9add-4b7e-9db5-a8fffa0895ee
Data Last Modified 2020-08-14
Category geospatial
Public Access Level public
Bureau Code 010:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 4b27847c-c507-4672-8451-9214fe30e07e
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
Source Datajson Identifier True
Source Hash 4be0491d561b39242a3f84bbfce58ce74cea3998f8076c60a6ad35acbfb82e1a
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -103.4334, 34.8119, -103.4334, 36.054, -95.6912, 36.054, -95.6912, 34.8119, -103.4334, 34.8119}

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