posted on 2023-11-30, 08:19authored byUS Forest Service Rocky Mountain Research Station Boise Aquatic Sciences Lab
<p>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. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Website Pointer to Multiple Regression Stream Temperature Model.</p> <p>File Name: Web Page, url: <a href="https://www.fs.fed.us/rm/boise/AWAE/projects/stream_temp/multregression_model.shtml">https://www.fs.fed.us/rm/boise/AWAE/projects/stream_temp/multregression_model.shtml</a> </p><p>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. Includes Methods, Maps, Data, Publications.</p></li></ul><p></p>
streams; rivers; monitoring; winter; models; water temperature; thermography; geographic information systems; computer software; digital elevation models; regression analysis; habitats; aquatic organisms; climate
OMB Bureau Code
005:96 - Forest Service
OMB Program Code
005:000 - (Primary Program Not Available)
Pending citation
No
Public Access Level
Public
Preferred dataset citation
US Forest Service Rocky Mountain Research Station Boise Aquatic Sciences Lab; ; (2019). Stream Temperature Modeling and Monitoring: Multiple Regression Stream Temperature Model. USDA Forest Service.