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Stream Temperature Modeling and Monitoring: Multiple Regression Stream Temperature Model

This simple Stream Temperature Modeling and Monitoring approach uses thermograph data and geomorphic predictor variables from GIS software and digital elevation models (DEM). Multiple regression models are used to predict stream temperature metrics throughout a stream network with moderate accuracy (R^2 ~ 0.65). The models can provide basic descriptions of spatial patterns in stream temperatures, suitable habitat distributions for aquatic species, or be used to assess temporal trends related to climate or management activities if multiple years of temperature data are available.

Dataset Info

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US Forest Service Rocky Mountain Research Station Boise Aquatic Sciences Lab
Product Type
USDA Forest Service
Contact Name
Isaak, Dan
Contact Email
Public Access Level
Related Article

Isaak, D., Rieman, B., & Horan, D. (2009). A watershed-scale monitoring protocol for bull trout. Gen. Tech. Rep. RMRS-GTR-224. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 25 p. https://www.fs.usda.gov/treesearch/pubs/32526

Dunham, J., Chandler, G., Rieman, B., & Martin, D. (2005). Measuring stream temperature with digital data loggers: a user's guide. Gen. Tech. Rep. RMRS-GTR-150WWW. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 15 p. https://www.fs.usda.gov/treesearch/pubs/9476

Is Part Of
Related Content
Funding Source(s)
U.S. Forest Service
Program Code
005:000 - Department of Agriculture - (Primary Program Not Available)
Bureau Code
005:96 - Forest Service
Modified Date
Release Date
Ag Data Commons Keywords: 
  • Agroecosystems & Environment
  • Water
  • Stream ecology
  • Agroecosystems & Environment
  • Water
  • Hydrology
  • Agroecosystems & Environment
  • Water
  • Maps & Multimedia
  • Maps
  • Maps & Multimedia
  • Agroecosystems & Environment