This new dataset shows the locations of facilities used for fisheries management or passage throughout the Columbia River basin. The StreamNet GIS map layer displays most fish management and passage facilities in the Columbia Basin. This tool is available as a separate tab under “Maps and GIS data” on StreamNet, or directly here: http://psmfc.maps.arcgis.com/apps/webappviewer/index.html?id=2381a6f4edb2474e860950c38088c819
Basic type of fish facilities currently include:
- Hatcheries, and acclimation / release sites
- Dams (categorized further for display purposes)
- Fish traps & collection facilities (including screw traps, weirs traps, etc.)
- Fish passage facilities (including fish ladders and juvenile fish bypasses)
- PTAGIS instream remote detection sites
For the purposes of this dataset, a fish facility is a fixed or semi-fixed location where fish are managed, counted or passed, and generally where there is at least one data record in a Pacific States Marine Fisheries Commission (PSMFC) database. Not all dams fit neatly within this definition, but are included because they are a significant factor in fish distribution. A primary objective of this dataset is to link PSMFC’s Columbia Basin fish data programs through a common location framework, while eliminating the redundancy of location data being mapped and managed by the individual programs. While the facility location data will be managed by PSMFC GIS Center as a single dataset, facilities can be separated and published into multiple map layers based on facility type or other attributes.
Sources for these point data came primarily from programs within PSMFC, including StreamNet, PIT Tag Information System (PTAGIS), and the Regional Mark Processing Center (RMPC), and their various state and federal partners. Locations have been checked and in some cases modified to more closely match available imagery or regional hydrography, as appropriate. Inclusion in the dataset or depiction in the map application does not mean that the facility is currently active.
We strive for accuracy and completeness, but expect improvements to the dataset can be made. If you have any corrections, additions, suggestions, or concerns, please contact email@example.com.