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Home    Projects    STREAM TEMPERATURE

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Thermal regimes are important to aquatic ecosystems because they strongly dictate species distributions, productivity, and abundance. Inexpensive digital temperature loggers, geographic information systems (GIS), remote sensing technologies, and new spatial analyses are facilitating the development of temperature models and monitoring networks applicable at broad spatial scales.

This web site provides resources to help those in the western U.S. organize temperature monitoring efforts, describes techniques for measuring stream temperatures, and describes several statistical models for predicting stream temperatures and thermally suitable fish habitats from temperature data. You will also find useful links to other stream temperature resources such as publications, videos, and presentations on topics relating to thermal regimes in streams. By accurately portraying and making available a comprehensive and updated set of stream temperature sites monitored by several agencies, we hope to facilitate data sharing and avoid redundancies as new monitoring sites are added to the regional network. If you are interested in obtaining temperature data or have sites to add to stream temperature monitoring maps, please contact Sherry Wollrab: 208.373.4371.


Monitoring Protocols

 

A simple protocol using underwater expoxy to install annual temperature monitoring sites in rivers and streams

Access protocols and other resources for monitoring air/stream temperature.
 

Stream Temperature Models

 

NorWeST Stream Temperature Database

NorWeST is a comprehensive database of stream temperatures for all streams across the Northwest. Temperature data is being used with spatial statistical stream network models to develop an accurate and consistent set of future climate scenarios.

 

Spatial Statistical Models

Spatial Statistical Models use thermograph data in conjunction with predictor variables (climatic, vegetation, geomorphic) to predict stream temperature. These models are more accurate than non-spatial models and offer far greater predictive ability (R2 ~ 0.90).

 

SSN and STARS GIS tools

SSN & STARS is a set of tools used to accuarately model stream networks based on spatial statistical stream models.

 

 

Multiple Regression Models

Multiple Regression Models use thermograph data and geomorphic predictor variables to predict stream temperature metrics with moderate accuracy (R2 ~ 0.65)

 

Air Temperature Models

Air Temperature Models were developed to predict air temperatures based on elevation, and geographic latitude and longitude with good success (R2 ~ 0.89).

 

Supporting Research & Presentations

Peer-reviewd scientific articles; posters and presentations

Peer-reviewed Articles and Posters & Presentations

one or two page science briefings

Science Briefings

Climate-Aquatics blog

Climate-Aquatics Blog


Contacts

Science Contact

Geospatial Data Contact

Dan Isaak
Boise Spatial Streams Group logoDave Nagel

Dan Isaak
USFS RMRS
Aquatic Sciences Lab
322 E. Front St., Suite 401
Boise, ID 83702
Phone: 208-373-4385
Email: daniel.isaak@usda.gov

 

Dave Nagel
USFS RMRS
Aquatic Sciences Lab
322 E. Front St., Suite 401
Boise, ID 83702
Phone: 208-373-4397
Email: david.nagel@usda.gov

 


Related Websites & Other Resources

The National Stream Internet

NorWeST: Regional Database & Modeled Stream Temperature

SSN & STARS: Tools for Spatial Statistical Modeling on Stream Networks

Climate-Aquatics Blog

U.S. Stream Flow Metric Dataset

National Genomics Center for Wildlife and Fish Conservation

Climate Shield Cold-Water Refuge Streams for Native Trout

Sculpins of the West - A molecular taxonomy of Cottus in western North America

The Range-Wide Bull Trout eDNA Project

The Aquatic eDNAtlas Project

Cutthroat trout-rainbow trout hybridization

Climate Change Resource Center

Temperature Data Macro

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