National Fish Passage Coordination Maps
Summary
The National Fish Passage Coordination Maps serve as a vital tool in fostering collaboration and communication among fish passage partners, aiming to enhance survey and conservation efforts. By providing a centralized platform, the maps facilitatethe identification and documentation of HUC10 watersheds of survey priority, enabling practitioners to prioritize their efforts effectively. Moreover, they aid in pinpointing locations of survey interest through rapid filtering of Southeast Aquatic Resources Partnership (SARP) National Inventory of Dams and the United States Geological Survey (USGS) stream crossings based on USGS monthly mean flow rates and stream slope. This creates a streamlined planning process for targeted data collection and analysis. Additionally, the Field Maps Ready version supports the completion of fish passage surveys through being ArcGIS Field Maps enabled by offering a comprehensive overview of surveyed areas and ongoing projects, promoting efficiency and coordination among stakeholders. Previously surveyed locations are displayed with colors symbolizing a stop light; green squares are <5 years old, yellow squares are between 5 and 10 years old, and red squares are greater than 10 years old. Dam and stream crossing points within the offline enabled Field Map have direct links to SARP ArcGIS Survey123 forms that work even when there is no internet connection. Through these functions, the map empowers fish passage practitioners to make informed decisions, allocate resources efficiently, and ultimately contribute to the preservation and restoration of aquatic ecosystems nationwide.
Data displayed in this map comes from various sources including the USGS National Hydrography Dataset, USGS
National Stream Crossings Database, USGS Watershed Boundary Dataset, Southeast
Aquatic Resources Partnership (SARP) Western AOP Survey Form, SARP Western Dams
and Diversions, and SARP National Aquatic Barrier Inventory of Assessed
Crossings. If you plan on collecting data using embedded SARP Survey123 links,
please make sure you’ve been trained by a person who’s attended the SARP
train-the-trainer training. Please reach out to Kat Hoenke at kat@southeastaquatics.net about attending a SARP train-the-trainer event.
Disclaimer
For use by SARP and partners and input dataset to aquaticbarriers.org.
Please note: Prior to surveying, it is up to the individuals using this map to ensure they’re abiding by local, state, and federal laws to access survey locations of interest. Many of the locations are on private lands and the surveyor must receive permission prior to surveying. Surveying of locations on public lands often requires permission, such as a special use permit, prior to accessing and surveying the property.
The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee. As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with other data and information.
