This model was developed for predictions across the interior Columbia River basin in the Pacific Northwest. The model predicts the distribution of thermally suitable habitat for bull trout by incorporating air temperature, elevation, latitude, and longitude.
This modeling approach uses thermograph records and a simple set of geomorphic predictor variables derived from digital elevation models (DEM). A multiple regression model and GIS are used to predict stream temperatures for individual reaches throughout a river network.
This stream temperature modeling approach uses thermograph data and the predictor variables: air temperature, solar radiation, elevation, and stream flow. GIS and spatial statistical models that account for network topology were used to predict stream temperatures at 1 km intervals throughout a 2,500 km river network.
The NorWeST regional stream temperature project has compiled existing temperature data from federal, state, tribal, and private sources across a five state region in the Northwest U.S. These data are being used with spatial statistical stream network models to develop an accurate and consistent set of geospatial temperature scenario maps for all streams in the region. Outputs from the NorWeST project should facilitate more efficient temperature monitoring designs, better understanding of thermal constraints on aquatic species, and strategic prioritization of conservation efforts across the region. Please visit the NorWeST website to learn more. For more information about the project, please contact: Dan Isaak (firstname.lastname@example.org ; 208.373.4385)